Mine water irrigation suitability evaluation method and system based on different water quality characteristics
By constructing a database of mine water quality characteristics and conducting irrigation experiments with salt-tolerant plants, the irrigation situation was dynamically analyzed, and an evaluation model was established. This solved the problem that static water quality testing could not accurately assess long-term irrigation risks, thereby improving the safety of mine water irrigation and the stability of soil ecology.
Patent Information
- Application Number
- CN202511668939.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-14
- Publication Date
- 2026-02-13
AI Technical Summary
Current technologies rely solely on static water quality testing to assess the suitability of mine water for irrigation, which makes it difficult to determine long-term irrigation risks and affects irrigation safety and soil ecological stability.
Water quality was measured by collecting mine water samples from different sources, a water quality characteristic database was constructed, suitability was graded according to irrigation water quality classification standards, salt-tolerant plants were selected for irrigation experiments, irrigation data was monitored and recorded, dynamic changes were analyzed, and an evaluation model for the suitability of mine water irrigation was established.
It has improved the ability to assess the suitability of mine water for irrigation, and enhanced irrigation safety and soil ecological stability.
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Figure CN121526313A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of water quality testing technology, specifically to a method and system for evaluating the suitability of mine water for irrigation based on different water quality characteristics. Background Technology
[0002] Currently, in the field of mine water resource utilization, irrigation suitability assessments generally rely on single or periodic static water quality tests of mine water samples. Essentially, this is a static assessment based on instantaneous hydrochemical characteristics, which can evaluate the basic water quality safety of mine water to a certain extent. However, its results are insufficient to reflect the impact of differences in different mine water sources and changes in irrigation conditions on water quality suitability. Furthermore, irrigation processes are long-term and cumulative; relying solely on static water quality indicators to determine irrigation suitability cannot reflect the risks during long-term irrigation, thus affecting irrigation safety and soil ecological stability.
[0003] In summary, existing technologies suffer from the problem that relying solely on static water quality testing for adaptability evaluation makes it difficult to assess long-term irrigation risks, thereby affecting irrigation safety. Summary of the Invention
[0004] The purpose of this application is to provide a method and system for evaluating the suitability of mine water irrigation based on different water quality characteristics, in order to solve the technical problem in the prior art that it is difficult to judge the long-term irrigation risk by relying solely on static water quality testing for suitability evaluation, thereby affecting irrigation safety.
[0005] To achieve the above objectives, this application provides a method and system for evaluating the suitability of mine water irrigation based on different water quality characteristics.
[0006] Firstly, this application provides a method for evaluating the suitability of mine water irrigation based on different water quality characteristics. This method is implemented through a mine water irrigation suitability evaluation system based on different water quality characteristics. The method includes: collecting mine water samples from different sources for water quality testing to obtain mine water quality test data; constructing a mine water quality characteristic database based on the characteristic information of the mine water samples and the mine water quality test data; and applying irrigation water quality classification standards to the mine water quality characteristic data. The suitability of the reservoir is classified to obtain a preliminary set of mine water irrigation suitability levels. Salt-tolerant plants are selected and used for mine water irrigation experiments based on the preliminary set of mine water irrigation suitability levels. The mine water irrigation data is monitored and recorded. Dynamic change analysis is performed on the mine water irrigation data to obtain plant ecological response change parameters and soil water and salt change characteristics. Based on the preliminary set of mine water irrigation suitability levels, the plant ecological response change parameters, and the soil water and salt change characteristics, a mine water irrigation suitability evaluation model is established, and irrigation suitability is evaluated using the mine water irrigation suitability evaluation model.
[0007] Optionally, a mine water characteristic dimension is constructed, which includes geographical location, geological conditions, mine type, mining method, and sampling time; the characteristic information of the mine water sample is identified and integrated according to the mine water characteristic dimension to obtain mine water sample dimensional characteristic data; the mine water quality measurement data is parameterized based on water quality application standards to obtain a mine water quality measurement parameter set; the mine water sample dimensional characteristic data and the mine water quality measurement parameter set are associated and numbered to construct the mine water quality characteristic database.
[0008] Optionally, based on the preliminary set of mine water irrigation suitability levels, a graded set of mine water samples is selected; salt-tolerant plants are selected based on the agricultural planting conditions and mine water quality characteristics of the target area to determine a regional set of salt-tolerant plants; an irrigation experiment is designed based on the graded set of mine water samples and the regional set of salt-tolerant plants to construct a mine water irrigation experiment parameter table; and the mine water irrigation experiment is monitored based on the mine water irrigation experiment parameter table to record a dataset of mine water irrigation conditions.
[0009] Optionally, a soil experimental area is selected in the target area, and the soil experimental area is divided according to the mine water irrigation experimental parameter table to obtain multiple soil irrigation experimental blocks; based on the area information and soil characteristics of the multiple soil irrigation experimental blocks, the number and distribution of monitoring points of the multiple experimental blocks are determined; a mine water irrigation experiment is carried out based on the mine water irrigation experimental parameter table, and soil dynamic monitoring is carried out according to the number and distribution of monitoring points of the multiple experimental blocks, and the mine water irrigation data set is recorded.
[0010] Optionally, based on the growth period of salt-tolerant plants, status indicators are selected to construct plant physiological and ecological response indicators; plant ecological change analysis is performed on the mine water irrigation dataset according to the plant physiological and ecological response indicators to obtain the plant ecological response change parameters; soil water and salt dynamic assessment indicators are constructed, and soil dynamic change analysis is performed on the mine water irrigation dataset based on the soil water and salt dynamic assessment indicators to obtain the soil water and salt change characteristics.
[0011] Optionally, key factors are extracted from the preliminary set of mine water irrigation suitability levels, the plant ecological response change parameters, and the soil water and salt change characteristics to obtain mine water suitability factor data, plant ecological response factor data, and soil water and salt characteristic factor data; the mine water suitability factor data, plant ecological response factor data, and soil water and salt characteristic factor data are correlated and labeled to obtain mine water irrigation suitability evaluation sample data; based on the mine water irrigation suitability evaluation sample data, suitability analysis and fitting are performed to establish the mine water irrigation suitability evaluation model.
[0012] Optionally, correlation factors are extracted and factor impact assessments are performed on the preliminary set of mine water irrigation suitability levels, the plant ecological response change parameters, and the soil water and salt change characteristics. Based on the factor impact assessment results, key factors are extracted to determine key factors for mine water suitability, key factors for plant ecological response, and key factors for soil water and salt characteristics. Experimental data are correlated based on the key factors for mine water suitability, key factors for plant ecological response, and key factors for soil water and salt characteristics to obtain the mine water suitability factor data, plant ecological response factor data, and soil water and salt characteristic factor data.
[0013] Optionally, irrigation suitability assessment is performed based on the soil water and salt characteristic factor data to obtain irrigation suitability matching level data; the mine water suitability factor data, plant ecological response factor data and irrigation suitability matching level data are sample-associated and labeled to obtain the mine water irrigation suitability assessment sample data.
[0014] Optionally, the water quality parameters of the mine water to be evaluated and the physiological and ecological characteristics of the plants are input into the mine water irrigation suitability evaluation model to conduct an irrigation suitability evaluation, and the mine water irrigation suitability evaluation results are output. The mine water irrigation suitability evaluation results include the matching level between the physiological and ecological characteristics of the plants and the mine water quality.
[0015] Secondly, this application also provides a mine water irrigation suitability evaluation system based on different water quality characteristics, used to execute the mine water irrigation suitability evaluation method based on different water quality characteristics as described in the first aspect. The mine water irrigation suitability evaluation system based on different water quality characteristics includes: a mine water quality measurement module, used to collect mine water samples from different sources for water quality measurement, obtain mine water quality measurement data, and construct a mine water quality characteristic database based on the characteristic information of the mine water samples and the mine water quality measurement data; and a mine water irrigation experiment module, used to assess the suitability of the mine water quality characteristic database in conjunction with irrigation water quality classification standards. The system is divided into several modules: a preliminary set of mine water irrigation suitability levels is obtained, and salt-tolerant plants are selected to conduct mine water irrigation experiments based on the preliminary set of mine water irrigation suitability levels, and the mine water irrigation data is monitored and recorded; a dynamic change analysis module is used to perform dynamic change analysis on the mine water irrigation data to obtain plant ecological response change parameters and soil water and salt change characteristics; and a suitability evaluation module is used to establish a mine water irrigation suitability evaluation model based on the preliminary set of mine water irrigation suitability levels, the plant ecological response change parameters, and the soil water and salt change characteristics, and to evaluate irrigation suitability through the mine water irrigation suitability evaluation model.
[0016] One or more technical solutions provided in this application have at least the following technical effects or advantages: Water quality data was obtained by collecting mine water samples from different sources and conducting water quality tests. Based on the characteristic information of the mine water samples and the mine water quality test data, a mine water quality characteristic database was constructed. The mine water quality characteristic database was then classified according to irrigation water quality classification standards to obtain a preliminary set of mine water irrigation suitability levels. Salt-tolerant plants were selected and used in mine water irrigation experiments based on the preliminary set of mine water irrigation suitability levels. The mine water irrigation data was monitored and recorded. Dynamic changes in the mine water irrigation data were analyzed to obtain plant ecological response change parameters and soil water and salt change characteristics. Based on the preliminary set of mine water irrigation suitability levels, the plant ecological response change parameters, and the soil water and salt change characteristics, a mine water irrigation suitability evaluation model was established, and irrigation suitability was evaluated using this model. In other words, by constructing a database of mine water quality characteristics with different water qualities, conducting salt-tolerant plant irrigation experiments, and using intelligent sensors to collect data on mine water irrigation conditions, dynamic analysis of plant ecological response parameters and soil water and salt change characteristics was carried out. A mine water irrigation suitability evaluation model was established, which improved the mine water irrigation suitability evaluation capability and thus enhanced irrigation safety.
[0017] The above description is merely an overview of the technical solution of this application. To better understand the technical means of this application and to facilitate its implementation according to the description, and to make the above and other objects, features, and advantages of this application more apparent, specific embodiments of this application are described below. It should be understood that the content described in this section is not intended to identify key or important features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent through the following description. Attached Figure Description
[0018] To more clearly illustrate the technical solutions in this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.
[0019] Figure 1 This is a flowchart illustrating the method for evaluating the suitability of mine water for irrigation based on different water quality characteristics, as proposed in this application.
[0020] Figure 2 This is a schematic diagram of the mine water irrigation suitability evaluation system based on different water quality characteristics, as proposed in this application.
[0021] Figure labeling: Mine water quality measurement module 11, Mine water irrigation experiment module 12, Dynamic change analysis module 13, Suitability evaluation module 14. Detailed Implementation
[0022] This application provides a method and system for evaluating the suitability of mine water irrigation based on different water quality characteristics. This addresses the technical problem in existing technologies where adaptability assessment relies solely on static water quality testing, making it difficult to determine long-term irrigation risks and thus affecting irrigation safety. By constructing a database of mine water quality characteristics for different water qualities, conducting salt-tolerant plant irrigation experiments, and using intelligent sensors to collect data on mine water irrigation conditions, dynamic analysis of plant ecological response parameters and soil water and salt variation characteristics is performed. This establishes a mine water irrigation suitability assessment model, improving the ability to evaluate mine water irrigation suitability and thereby enhancing irrigation safety.
[0023] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. It should be understood that this application is not limited to the exemplary embodiments described herein. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application. It should also be noted that, for ease of description, only the parts related to this application are shown in the accompanying drawings, not all of them.
[0024] Example 1, please refer to the appendix. Figure 1 This application provides a method for evaluating the suitability of mine water irrigation based on different water quality characteristics. The method is applied to a mine water irrigation suitability evaluation system based on different water quality characteristics. The method specifically includes the following steps: Mine water samples from different sources were collected for water quality testing to obtain mine water quality data. Based on the characteristic information of the mine water samples and the mine water quality data, a mine water quality characteristic database was constructed.
[0025] Furthermore, this application also includes the following steps: constructing mine water characteristic dimensions, wherein the mine water characteristic dimensions include geographical location, geological conditions, mine type, mining method, and sampling time; identifying and integrating the characteristic information of the mine water samples according to the mine water characteristic dimensions to obtain mine water sample dimensional characteristic data; standardizing the parameters of the mine water quality measurement data based on water quality application standards to obtain a mine water quality measurement parameter set; associating the mine water sample dimensional characteristic data with the mine water quality measurement parameter set to construct the mine water quality characteristic database.
[0026] Specifically, based on the actual conditions of the mines, a mine water characteristic dimension is constructed to understand and describe the background attributes of the mine water sample source, including geographical location, geological conditions, mine type, mining method, and sampling time. The characteristic information of the mine water samples is identified according to the mine water characteristic dimension, and the characteristic information of each water sample is integrated to obtain the mine water sample dimensional characteristic data. The characteristic information of each mine water sample is the background information corresponding to each mine water sample, including the location of the mining area, geological conditions, mine type, mining method, sampling time, etc., which is equivalent to creating a detailed file for each sample.
[0027] Mine water samples were collected from different mining areas, geological backgrounds, and treatment stages. Comprehensive water quality analysis was immediately conducted in the laboratory using standard methods to obtain raw mine water quality data, including but not limited to conductivity, pH, sodium adsorption ratio, chloride ion concentration, boron concentration, and heavy metal concentration. The mine water quality data were then standardized based on water quality application standards, converting the data into a standardized form. Water quality application standards are water quality evaluation standards for irrigation or specific uses. For example, measured conductivity values were mapped to levels of non-salinization, slight salinization, moderate salinization, and severe salinization, or concentration values were normalized to the [0,1] interval to eliminate dimensional effects.
[0028] The dimensional characteristic data of mine water samples are associated with and numbered according to the set of mine water quality measurement parameters. This involves establishing a one-to-one association between the dimensional characteristic data of the same water sample and its water quality measurement parameter set, thereby constructing a mine water quality characteristic database. For example, a water sample was taken from area A, and its conductivity was measured to be 4.2 dS / m. Based on salinity classification (non-salinized water conductivity <1.0 dS / m, slightly salinized water 1.0-2.3, moderately salinized water 2.3-4.0, severely salinized water >4.0), this value was standardized to the severely salinized water level. The measured pH value was 8.2, which, after standardization, indicates weak alkalinity. Na+ was measured by ion chromatography. + Ca 2+ Mg 2+ The concentration was calculated, and the sodium adsorption ratio was 11.5. Based on the sodium adsorption ratio of <10 (low-sodium water) and 10-18 (medium-sodium water), this was standardized as medium-sodium water. The Cl content was measured... - The concentration was 650 mg / L, far exceeding the strict limit of 350 mg / L, and was standardized as a high-chlorine risk. The mine water quality characteristics database includes water quality information for the source mine water.
[0029] The suitability classification of the mine water quality characteristic database was carried out by combining the irrigation water quality classification standards to obtain a preliminary set of mine water irrigation suitability levels. Salt-tolerant plants were selected to conduct mine water irrigation experiments based on the preliminary set of mine water irrigation suitability levels, and the mine water irrigation data was monitored and recorded.
[0030] Furthermore, this application also includes the following steps: selecting a graded set of mine water samples based on the preliminary set of mine water irrigation suitability levels; selecting salt-tolerant plants based on the agricultural planting conditions and mine water quality characteristics of the target area to determine a set of salt-tolerant plants for the region; designing an irrigation experiment based on the graded set of mine water samples and the set of salt-tolerant plants for the region to construct a mine water irrigation experiment parameter table; and monitoring the mine water irrigation experiment based on the mine water irrigation experiment parameter table to record a dataset of mine water irrigation conditions.
[0031] Furthermore, this application also includes the following steps: selecting a soil experimental area in the target area, and dividing the soil experimental area according to the mine water irrigation experimental parameter table to obtain multiple soil irrigation experimental blocks; determining the number and distribution of monitoring points for multiple experimental blocks based on the area information and soil characteristics of the multiple soil irrigation experimental blocks; conducting mine water irrigation experiments based on the mine water irrigation experimental parameter table, and performing dynamic soil monitoring according to the number and distribution of monitoring points for the multiple experimental blocks, and recording the mine water irrigation data set.
[0032] Specifically, irrigation water quality classification standards are standardized criteria used to evaluate irrigation water quality, setting thresholds for different water quality parameters to classify risk levels. Applying these standards to the existing database of mine water quality characteristics, each water sample in the database is assigned a preliminary mine water irrigation suitability level, such as highly suitable, slightly restrictive, severely restrictive, or unsuitable, thus forming a comprehensive set of preliminary mine water irrigation suitability levels. Representative water samples for each level are then selected from this set to form a graded mine water sample set. This graded mine water sample set is a collection of typical mine water samples that represent different preliminary suitability levels.
[0033] Based on the agricultural planting conditions and mine water quality characteristics of the target area, salt-tolerant plants were selected. Salt-tolerant plants are those with high salt tolerance, capable of growing in saline conditions, such as sweet sorghum, alkali grass, and salt-tolerant Suaeda salsa. Assuming the target area primarily cultivates grain crops, sweet sorghum, alkali grass, and salt-tolerant Suaeda salsa with moderate to strong salt tolerance were selected as experimental plants to observe the effects of different water samples on plant growth. The regional salt-tolerant plant set is a collection of one or more locally adapted crop varieties with a certain degree of salt tolerance, selected based on the common agricultural planting structure of the target area and the generally high salinity of mine water.
[0034] Based on a graded set of mine water samples and a regional set of salt-tolerant plants, a detailed irrigation experiment plan was designed, and a table of mine water irrigation experiment parameters was generated. The table recorded the correspondence between each water sample and plant, irrigation amount, irrigation frequency, experimental period, environmental conditions, etc. It clearly specified which crop should be irrigated with which grade of water, how many replicates should be set, how much irrigation should be done, and when and which data should be measured.
[0035] A soil experimental area was selected within the target agricultural region for mine water irrigation experiments and monitoring of soil water and salinity, as well as plant growth dynamics, to ensure experimental controllability. Following the treatment combinations and replication numbers designed in the mine water irrigation experiment parameter table, the soil experimental area was physically divided into several soil irrigation experimental blocks using field ridges or partitions to ensure that irrigation water from different treatments did not seep into or mix with each other. For example, assuming the soil experimental area is 600 m²... 2The experimental area was divided into six experimental blocks, each corresponding to a different combination of water samples and plants. For example, experimental block 1 corresponded to water sample MW-001 and sweet sorghum, experimental block 2 corresponded to water sample MW-004 and alkali grass, and so on. Each experimental block had an area of 100 m². 2 To ensure independent irrigation and monitoring.
[0036] Based on the area information and soil characteristics of multiple soil irrigation experimental blocks, the number and distribution of monitoring points within each experimental block were determined to ensure the spatial representativeness of the sampling points and avoid random errors. The number and distribution of monitoring points within each experimental block refer to the specific number of locations and their spatial layout for collecting soil samples or deploying sensors. This ensures that the collected samples are representative of the overall situation of the experimental block while also capturing any subtle variations that may exist within the block.
[0037] The mine water irrigation experiment was conducted according to the irrigation regime specified in the mine water irrigation experiment parameter table. Soil dynamic monitoring was strictly carried out according to the number and distribution of monitoring points across multiple experimental blocks. Specifically, at different crop growth stages, professional tools were used to monitor soil dynamics at predetermined monitoring points, recording time-series data of key parameters such as soil conductivity, pH, and moisture content. Finally, all irrigation, monitoring, and crop growth information was integrated to create a mine water irrigation dataset. This dataset is a collection of soil monitoring data, irrigation volume, irrigation frequency, and corresponding water samples and plant growth data during the experiment. It includes not only the final crop yield but also time-series recorded dynamic data of soil indicators, crop growth indicators, and detailed irrigation operation logs. For example, during the seedling, jointing, flowering, and harvest stages, a handheld soil conductivity / pH / moisture three-parameter rapid meter was used to measure the soil at three predetermined monitoring points in each experimental block. During the jointing stage, the soil electrical conductivity of the sunflower experimental plot irrigated with severely restricted mine water (water sample B) was measured at three monitoring points as 3.8 dS / m, 4.1 dS / m, and 3.9 dS / m, respectively. The average value of 3.93 dS / m was recorded as the soil salinity status of the experimental plot on that day.
[0038] By classifying mine water according to its suitability, we can avoid the negative impact of unsuitable irrigation on crops or the environment. We selected classified mine water samples and regional salt-tolerant plant samples, designed an experimental scheme for mine water irrigation, and conducted an in-depth analysis of the impact of mine water irrigation on plant growth and soil properties.
[0039] Dynamic changes were analyzed on the dataset of mine water irrigation conditions to obtain plant ecological response change parameters and soil water and salt change characteristics.
[0040] Furthermore, this application also includes the following steps: selecting status indicators based on the growth period of salt-tolerant plants to construct plant physiological and ecological response indicators; performing plant ecological change analysis on the mine water irrigation dataset according to the plant physiological and ecological response indicators to obtain the plant ecological response change parameters; constructing soil water and salt dynamic assessment indicators, and performing soil dynamic change analysis on the mine water irrigation dataset based on the soil water and salt dynamic assessment indicators to obtain the soil water and salt change characteristics.
[0041] Specifically, based on the growth period of salt-tolerant plants, indicators that can objectively reflect plant growth and salt stress response are selected to construct plant physiological and ecological response indicators. The growth period of salt-tolerant plants is the entire growth stage from seedling to maturity. During this period, the physiological and ecological indicators of the plants will change with the irrigation conditions of mine water, including morphological indicators, biomass indicators, physiological indicators, and yield indicators.
[0042] Plant ecological change analysis was conducted on a dataset of mine water irrigation data based on plant physiological and ecological response indices. This involved in-depth ecological change analysis of plant observation data within the mine water irrigation dataset. By comparing the dynamic changes of various indices under different irrigation treatments, ecological response change parameters that quantify the degree of plant stress were calculated. These parameters describe the growth response trends of plants under different water quality conditions, such as the average plant height growth rate, leaf area index change, and salt stress response index. For example, analysis of monitoring data throughout the entire growth period revealed that alfalfa irrigated with mine water with an electrical conductivity of 4.2 dS / m only reached a plant height of 48.3 cm after 90 days of growth, a 22.3% decrease compared to the freshwater control (62.1 cm). The chlorophyll SPAD value decreased from 42.5 at flowering to 35.2, indicating a significant impairment in photosynthetic capacity. The final obtained plant ecological response change parameters included a relative growth rate of 0.82, a salt sensitivity index of 0.76, and a yield loss rate of 28.5%.
[0043] A dynamic assessment index for soil water and salinity was constructed, which is used to evaluate the changes in soil moisture and salinity with irrigation. This index includes the spatiotemporal variation sequences of indicators such as soil electrical conductivity, soil water content, pH value, and sodium adsorption ratio. Based on the dynamic assessment index, soil dynamic changes were analyzed on a dataset of mine water irrigation conditions. The evolution characteristics of the soil environment under different mine water irrigation conditions were analyzed, and dynamic parameters that can characterize changes in soil quality were obtained. Soil water and salinity change characteristics, such as soil salinity accumulation rate, spatial distribution uniformity, and water dynamic response patterns, were obtained to describe the changes in soil salinity and moisture status during irrigation. For example, the constructed soil water and salt dynamic assessment indicators include profile electrical conductivity, soil volumetric water content, and percentage of soluble sodium. After five irrigations throughout the growing season, the electrical conductivity of the 0-20cm soil layer treated with high-salt mine water increased from the initial 2.1dS / m to 6.3dS / m, and the 40-60cm soil layer showed a peak salt accumulation of 7.8dS / m. The obtained soil water and salt change characteristics include a salt surface accumulation coefficient of 1.35, a salt leaching rate of 0.12dS / m / cycle, and a sodium adsorption ratio increase of 8.7%.
[0044] By assessing the impact of mine water irrigation on the growth of salt-tolerant plants, this study reveals the dynamic characteristics of soil water and salt changes under mine water irrigation conditions, analyzes the physiological and ecological responses of plants and changes in soil water and salt, optimizes mine water irrigation schemes, and improves irrigation efficiency.
[0045] Based on the preliminary set of mine water irrigation suitability levels, the plant ecological response change parameters, and the soil water and salt change characteristics, a mine water irrigation suitability evaluation model is established, and the irrigation suitability is evaluated using the mine water irrigation suitability evaluation model.
[0046] Furthermore, this application also includes the following steps: extracting key factors from the preliminary set of mine water irrigation suitability levels, the plant ecological response change parameters, and the soil water and salt change characteristics to obtain mine water suitability factor data, plant ecological response factor data, and soil water and salt characteristic factor data; associating and labeling the mine water suitability factor data, plant ecological response factor data, and soil water and salt characteristic factor data to obtain mine water irrigation suitability evaluation sample data; and performing suitability analysis and fitting based on the mine water irrigation suitability evaluation sample data to establish the mine water irrigation suitability evaluation model.
[0047] Furthermore, this application also includes the following steps: extracting correlation factors and assessing factor impacts on the preliminary set of mine water irrigation suitability levels, the plant ecological response change parameters, and the soil water and salt change characteristics; extracting key factors based on the factor impact assessment results to determine key factors for mine water suitability, key factors for plant ecological response, and key factors for soil water and salt characteristics; and correlating experimental data based on the key factors for mine water suitability, key factors for plant ecological response, and key factors for soil water and salt characteristics to obtain the mine water suitability factor data, plant ecological response factor data, and soil water and salt characteristic factor data.
[0048] Furthermore, this application also includes the following steps: conducting an irrigation suitability evaluation based on the soil water and salt characteristic factor data to obtain irrigation suitability matching level data; and performing sample association annotation on the mine water suitability factor data, plant ecological response factor data, and the irrigation suitability matching level data to obtain the mine water irrigation suitability evaluation sample data.
[0049] Specifically, correlation factors were extracted from the preliminary set of mine water irrigation suitability levels, plant ecological response change parameters, and soil water and salt change characteristics. The dependencies between these factors were identified, and their impact was assessed. The contribution or weight of each factor to mine water irrigation suitability was calculated, yielding the factor impact assessment results. Based on these results, key factors were extracted, resulting in key factors for mine water suitability, plant ecological response, and soil water and salt characteristics. In other words, based on the weight ranking obtained from the impact assessment, key factors were extracted, and a few core factors with the highest contribution were selected from each dimension, forming key factor sets for mine water suitability, plant ecological response, and soil water and salt characteristics.
[0050] For example, assuming a correlation analysis was performed on 12 water quality parameters, 8 plant response indicators, and 6 soil characteristic parameters, and the random forest algorithm was used to evaluate the contribution of each factor to the yield loss rate, it was found that electrical conductivity, sodium adsorption ratio, and chloride ions had a cumulative importance of 82.3%; among the plant response indicators, the contributions of plant height dynamics during the budding and boll-forming stage and biomass accumulation rate were 28.7% and 24.5%, respectively; among the soil characteristics, the cumulative importance of salt accumulation rate and changes in sodium adsorption ratio reached 76.8%. The key factors for mine water suitability were determined to be electrical conductivity, sodium adsorption ratio, and chloride ions; the key factors for plant ecological response were plant height during the budding and boll-forming stage, biomass accumulation rate, and salt sensitivity index; and the key factors for soil water and salt characteristics were salt accumulation rate, dynamic changes in sodium adsorption ratio, and profile salt distribution.
[0051] The experimental data were correlated based on key factors of mine water suitability, key factors of plant ecological response, and key factors of soil water and salt characteristics. This involved matching the mine water quality data, plant growth response data, and soil water and salt monitoring data recorded during the experiment with the corresponding key factors to form data on mine water suitability factors, plant ecological response factors, and soil water and salt characteristics.
[0052] Irrigation suitability assessment was conducted based on soil water and salt characteristic factor data to determine the true suitability level of each experimental sample under actual irrigation conditions. This yielded irrigation suitability matching level data, reflecting the carrying capacity of the soil environment and the actual plant response under long-term irrigation. Specifically, soil water and salt characteristic factor data obtained throughout the irrigation experiment were compiled, and clear grading rules were established. For example, the salt accumulation rate was used as one of the core indicators: when the rate was below 0.1 dS / m / growing period, soil salinity was considered stable and controllable, indicating strong irrigation sustainability; when the rate was between 0.1 and 0.3 dS / m / growing period, a slight risk of salt accumulation was considered, requiring enhanced monitoring and management; when the rate exceeded 0.3 dS / m / growing period, rapid salt accumulation was indicated, and long-term irrigation could lead to soil degradation. Similarly, thresholds were set for changes in the sodium adsorption ratio: an increase of less than 3 was considered controllable risk; an increase of 3-6 indicated a risk of alkalization; and an increase greater than 6 indicated a higher risk. By combining the characteristics of salt profile distribution and pH value change trends with other key factors, a comprehensive assessment was made of each experimental treatment, and each experimental sample was assigned an irrigation suitability matching level based on the actual soil response.
[0053] Data on mine water suitability factors, plant ecological response factors, and irrigation suitability matching levels are correlated and labeled to form sample data for mine water irrigation suitability evaluation. First, the sample data undergoes rigorous preprocessing, including outlier detection, data standardization, and training-test set splitting, typically using an 80% to 20% ratio. Based on the processed data, a suitable machine learning algorithm for the classification task, such as random forest, is selected for model training. Random forest parameters are set, such as 100 trees, a maximum depth of 5, and a minimum number of splits of 2. Training set samples are randomly selected to construct multiple decision trees. Each tree randomly selects some features for optimal splitting at each node, and all trees form a forest. The final suitability level is output through a vote. During training, cross-validation and grid search techniques are used to optimize model hyperparameters to maximize prediction accuracy and prevent overfitting. After model training, its generalization ability is evaluated using a reserved test set, and performance metrics such as accuracy, precision, recall, and F1 score are calculated. Set convergence criteria for the model, such as verifying that the loss changes by less than 0.01 for five consecutive rounds or that the accuracy of the training set reaches 95%. Once the model reaches the convergence criteria, stop fitting to obtain the mine water irrigation suitability evaluation model.
[0054] By extracting correlation factors and assessing their impact, key factors with the greatest influence on the suitability of mine water irrigation can be identified, thereby improving the accuracy and reliability of the evaluation. Furthermore, by establishing a mine water irrigation suitability evaluation model, the irrigation suitability under different mine water samples and soil conditions can be predicted and assessed, further enhancing the accuracy and reliability of mine water irrigation suitability assessments.
[0055] Furthermore, this application also includes the following steps: inputting the water quality parameters of the mine water to be evaluated and the physiological and ecological characteristics of the plants into the mine water irrigation suitability evaluation model to conduct irrigation suitability evaluation, and outputting the mine water irrigation suitability evaluation results, wherein the mine water irrigation suitability evaluation results include the matching level between the plant physiological and ecological characteristics and the mine water quality.
[0056] Specifically, water quality parameters of the mine water to be evaluated are collected, ensuring that the detection indicators are completely consistent with the key factors used in model training. The data undergoes necessary standardization preprocessing to meet the input requirements of the mine water irrigation suitability evaluation model. Simultaneously, based on the target crop to be irrigated, key physiological and ecological characteristic parameters are identified or measured, especially those reflecting the salt tolerance of the variety. The processed mine water quality parameters and plant physiological and ecological characteristics are used as input feature vectors and imported into the trained mine water irrigation suitability evaluation model. Through ensemble judgment using decision trees, the input feature vectors are comprehensively analyzed, outputting a comprehensive irrigation suitability evaluation result, including the matching level between plant physiological and ecological characteristics and mine water quality. Plant physiological and ecological characteristics are key salt tolerance / stress resistance parameters of the target crop, such as salt sensitivity index, water use efficiency, and salt tolerance threshold at specific growth stages. The matching level characterizes the compatibility between a specific water quality and a specific plant combination, typically categorized as highly suitable, slightly restrictive, severely restrictive, and unsuitable. By accurately assessing the suitability of mine water irrigation, we can provide guidance for practical irrigation applications, promote the rational use of mine water, and ensure the sustainability of agricultural production.
[0057] In summary, the mine water irrigation suitability evaluation method based on different water quality characteristics provided in this application has the following technical effects: Water quality data was obtained by collecting mine water samples from different sources and conducting water quality tests. Based on the characteristic information of the mine water samples and the mine water quality test data, a mine water quality characteristic database was constructed. The mine water quality characteristic database was then classified according to irrigation water quality classification standards to obtain a preliminary set of mine water irrigation suitability levels. Salt-tolerant plants were selected and used in mine water irrigation experiments based on the preliminary set of mine water irrigation suitability levels. The mine water irrigation data was monitored and recorded. Dynamic changes in the mine water irrigation data were analyzed to obtain plant ecological response change parameters and soil water and salt change characteristics. Based on the preliminary set of mine water irrigation suitability levels, the plant ecological response change parameters, and the soil water and salt change characteristics, a mine water irrigation suitability evaluation model was established, and irrigation suitability was evaluated using this model. In other words, by constructing a database of mine water quality characteristics with different water qualities, conducting salt-tolerant plant irrigation experiments, and using intelligent sensors to collect data on mine water irrigation conditions, dynamic analysis of plant ecological response parameters and soil water and salt change characteristics was carried out. A mine water irrigation suitability evaluation model was established, which improved the mine water irrigation suitability evaluation capability and thus enhanced irrigation safety.
[0058] Example 2: Based on the same inventive concept as the mine water irrigation suitability evaluation method based on different water quality characteristics in Example 1, this application also provides a mine water irrigation suitability evaluation system based on different water quality characteristics. Please refer to the appendix. Figure 2 The mine water irrigation suitability evaluation system based on different water quality characteristics includes: The mine water quality measurement module 11 is used to collect mine water samples from different sources for water quality measurement, obtain mine water quality measurement data, and construct a mine water quality characteristic database based on the characteristic information of the mine water samples and the mine water quality measurement data. The mine water irrigation experiment module 12 is used to classify the mine water quality characteristic database according to the irrigation water quality classification standards, obtain a preliminary mine water irrigation suitability level set, and select salt-tolerant plants to conduct mine water irrigation experiments according to the preliminary mine water irrigation suitability level set, and monitor and record the mine water irrigation data set. The dynamic change analysis module 13 is used to perform dynamic change analysis on the mine water irrigation data set, obtain plant ecological response change parameters and soil water and salt change characteristics. The suitability evaluation module 14 is used to establish a mine water irrigation suitability evaluation model based on the preliminary mine water irrigation suitability level set, the plant ecological response change parameters and soil water and salt change characteristics, and conduct irrigation suitability evaluation through the mine water irrigation suitability evaluation model.
[0059] Furthermore, the mine water quality measurement module 11 in the mine water irrigation suitability evaluation system based on different water quality characteristics is also used for: constructing mine water characteristic dimensions, which include geographical location, geological conditions, mine type, mining method, and sampling time; identifying and integrating the characteristic information of the mine water sample according to the mine water characteristic dimensions to obtain mine water sample dimensional characteristic data; standardizing the parameters of the mine water quality measurement data based on water quality application standards to obtain a mine water quality measurement parameter set; and associating the mine water sample dimensional characteristic data with the mine water quality measurement parameter set to construct the mine water quality characteristic database.
[0060] Furthermore, the mine water irrigation experiment module 12 in the mine water irrigation suitability evaluation system based on different water quality characteristics is also used for: selecting a graded set of mine water samples based on the preliminary mine water irrigation suitability grade set; selecting salt-tolerant plants based on the agricultural planting situation and mine water quality characteristics of the target area to determine the regional salt-tolerant plant set; designing an irrigation experiment based on the graded set of mine water samples and the regional salt-tolerant plant set to construct a mine water irrigation experiment parameter table; and monitoring the mine water irrigation experiment based on the mine water irrigation experiment parameter table to record the mine water irrigation data set.
[0061] Furthermore, the mine water irrigation experiment module 12 in the mine water irrigation suitability evaluation system based on different water quality characteristics is also used for: selecting a soil experimental area in the target area, and dividing the soil experimental area according to the mine water irrigation experiment parameter table to obtain multiple soil irrigation experimental blocks; determining the number and distribution of monitoring points for multiple experimental blocks based on the area information and soil characteristics of the multiple soil irrigation experimental blocks; conducting mine water irrigation experiments based on the mine water irrigation experiment parameter table, and performing dynamic soil monitoring according to the number and distribution of monitoring points for the multiple experimental blocks, and recording the mine water irrigation data set.
[0062] Furthermore, the dynamic change analysis module 13 in the mine water irrigation suitability evaluation system based on different water quality characteristics is also used for: selecting status indicators according to the growth period of salt-tolerant plants to construct plant physiological and ecological response indicators; performing plant ecological change analysis on the mine water irrigation dataset according to the plant physiological and ecological response indicators to obtain the plant ecological response change parameters; constructing soil water and salt dynamic assessment indicators; and performing soil dynamic change analysis on the mine water irrigation dataset based on the soil water and salt dynamic assessment indicators to obtain the soil water and salt change characteristics.
[0063] Furthermore, the suitability evaluation module 14 in the mine water irrigation suitability evaluation system based on different water quality characteristics is also used for: extracting key factors from the preliminary mine water irrigation suitability level set, the plant ecological response change parameters, and the soil water and salt change characteristics to obtain mine water suitability factor data, plant ecological response factor data, and soil water and salt characteristic factor data; associating and labeling the mine water suitability factor data, plant ecological response factor data, and soil water and salt characteristic factor data to obtain mine water irrigation suitability evaluation sample data; and performing suitability analysis and fitting based on the mine water irrigation suitability evaluation sample data to establish the mine water irrigation suitability evaluation model.
[0064] Furthermore, the suitability evaluation module 14 in the mine water irrigation suitability evaluation system based on different water quality characteristics is also used for: extracting correlation factors and evaluating the impact of factors on the preliminary mine water irrigation suitability level set, the plant ecological response change parameters, and the soil water and salt change characteristics; extracting key factors based on the factor impact evaluation results to determine key factors for mine water suitability, key factors for plant ecological response, and key factors for soil water and salt characteristics; and correlating experimental data based on the key factors for mine water suitability, key factors for plant ecological response, and key factors for soil water and salt characteristics to obtain the mine water suitability factor data, plant ecological response factor data, and soil water and salt characteristic factor data.
[0065] Furthermore, the suitability evaluation module 14 in the mine water irrigation suitability evaluation system based on different water quality characteristics is also used for: evaluating irrigation suitability based on the soil water and salt characteristic factor data to obtain irrigation suitability matching level data; and performing sample association labeling on the mine water suitability factor data, plant ecological response factor data and the irrigation suitability matching level data to obtain the mine water irrigation suitability evaluation sample data.
[0066] Furthermore, the suitability evaluation module 14 in the mine water irrigation suitability evaluation system based on different water quality characteristics is also used to: input the water quality parameters of the mine water to be evaluated and the physiological and ecological characteristics of plants into the mine water irrigation suitability evaluation model to perform irrigation suitability evaluation, and output the mine water irrigation suitability evaluation results, wherein the mine water irrigation suitability evaluation results include the matching level between the physiological and ecological characteristics of plants and the mine water quality.
[0067] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The method and specific examples for evaluating the suitability of mine water irrigation based on different water quality characteristics in the aforementioned embodiment 1 are also applicable to the mine water irrigation suitability evaluation system based on different water quality characteristics in this embodiment. Through the foregoing detailed description of the method for evaluating the suitability of mine water irrigation based on different water quality characteristics, those skilled in the art can clearly understand the mine water irrigation suitability evaluation system based on different water quality characteristics in this embodiment. Therefore, for the sake of brevity, it will not be described in detail here.
[0068] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
[0069] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of this application and its equivalents, this application also intends to include such modifications and variations.
Claims
1. A method for evaluating the suitability of mine water for irrigation based on different water quality characteristics, characterized in that, include: Mine water samples from different sources were collected and their water quality was measured to obtain mine water quality measurement data. Based on the characteristic information of the mine water samples and the mine water quality measurement data, a mine water quality characteristic database was constructed. The suitability classification of the mine water quality characteristic database is carried out by combining the irrigation water quality classification standard to obtain a preliminary set of mine water irrigation suitability levels. Salt-tolerant plants are selected to carry out mine water irrigation experiments according to the preliminary set of mine water irrigation suitability levels, and the mine water irrigation data is monitored and recorded. Dynamic change analysis was performed on the dataset of mine water irrigation to obtain plant ecological response change parameters and soil water and salt change characteristics; Based on the preliminary set of mine water irrigation suitability levels, the plant ecological response change parameters, and the soil water and salt change characteristics, a mine water irrigation suitability evaluation model is established, and the irrigation suitability is evaluated using the mine water irrigation suitability evaluation model.
2. The method for evaluating the suitability of mine water irrigation based on different water quality characteristics as described in claim 1, characterized in that, Construct a database of mine water quality characteristics, including: Construct a mine water characteristic dimension, which includes geographical location, geological conditions, mine type, mining method, and sampling time; The feature information of the mine water sample is identified and integrated according to the aforementioned mine water feature dimensions to obtain mine water sample dimensional feature data; Based on water quality application standards, the parameters of the mine water quality measurement data are standardized to obtain a set of mine water quality measurement parameters. The dimensional feature data of the mine water sample are associated and numbered with the set of mine water quality measurement parameters to construct the mine water quality feature database.
3. The method for evaluating the suitability of mine water irrigation based on different water quality characteristics as described in claim 1, characterized in that, Data sets monitoring and recording mine water irrigation conditions include: Based on the preliminary set of mine water irrigation suitability grades, a graded set of mine water samples was selected. Salt-tolerant plants were selected based on the agricultural planting conditions and mine water quality characteristics of the target area to determine the regional salt-tolerant plant set. Based on the graded mine water sample set and the regional salt-tolerant plant set, an irrigation experiment was designed, and a table of experimental parameters for mine water irrigation was constructed. Based on the aforementioned mine water irrigation experiment parameter table, mine water irrigation experiments were monitored, and a dataset of mine water irrigation conditions was recorded.
4. The method for evaluating the suitability of mine water irrigation based on different water quality characteristics as described in claim 3, characterized in that, Based on the aforementioned mine water irrigation experiment parameter table, mine water irrigation experiments were monitored, and a dataset of mine water irrigation data was recorded, including: A soil experimental area was selected in the target area, and the soil experimental area was divided according to the mine water irrigation experimental parameter table to obtain multiple soil irrigation experimental blocks; Based on the area information and soil characteristics of the multiple soil irrigation experimental blocks, the number and distribution of monitoring points for the multiple experimental blocks are determined; Based on the experimental parameter table for mine water irrigation, an experiment on mine water irrigation was conducted, and soil dynamics were monitored according to the number and distribution of monitoring points in the multiple experimental blocks, and the dataset of mine water irrigation conditions was recorded.
5. The method for evaluating the suitability of mine water irrigation based on different water quality characteristics as described in claim 1, characterized in that, The parameters of plant ecological response changes and soil water and salt changes were obtained, including: Based on the growth stages of salt-tolerant plants, status indicators were selected to construct plant physiological and ecological response indicators. The plant ecological change analysis was performed on the mine water irrigation dataset according to the plant physiological and ecological response indicators to obtain the plant ecological response change parameters. A dynamic assessment index for soil water and salt is constructed, and the dynamic changes of soil are analyzed on the dataset of mine water irrigation based on the dynamic assessment index to obtain the characteristics of soil water and salt changes.
6. The method for evaluating the suitability of mine water irrigation based on different water quality characteristics as described in claim 1, characterized in that, Establish a suitability evaluation model for mine water irrigation, including: Key factors were extracted from the preliminary set of mine water irrigation suitability levels, the plant ecological response change parameters, and the soil water and salt change characteristics to obtain mine water suitability factor data, plant ecological response factor data, and soil water and salt characteristic factor data. The mine water suitability factor data, plant ecological response factor data, and soil water and salt characteristic factor data are correlated and labeled to obtain mine water irrigation suitability evaluation sample data; Based on the sample data of the mine water irrigation suitability evaluation, a suitability analysis and fitting were performed to establish the mine water irrigation suitability evaluation model.
7. The method for evaluating the suitability of mine water irrigation based on different water quality characteristics as described in claim 6, characterized in that, Data on mine water suitability factors, plant ecological response factors, and soil water and salt characteristic factors were obtained, including: Correlation factors were extracted and factor impact assessments were conducted on the preliminary set of mine water irrigation suitability levels, the plant ecological response change parameters, and the soil water and salt change characteristics. Based on the factor impact assessment results, key factors were extracted to determine key factors for mine water suitability, key factors for plant ecological response, and key factors for soil water and salt characteristics. Based on the key factors of mine water suitability, key factors of plant ecological response, and key factors of soil water and salt characteristics, experimental data were correlated to obtain the data of mine water suitability factors, plant ecological response factors, and soil water and salt characteristics factors.
8. The method for evaluating the suitability of mine water irrigation based on different water quality characteristics as described in claim 6, characterized in that, Obtain sample data for the suitability assessment of mine water irrigation, including: Irrigation suitability assessment is conducted based on the soil water and salt characteristic factor data to obtain irrigation suitability matching level data; The mine water suitability factor data, plant ecological response factor data, and irrigation suitability matching level data are correlated and labeled to obtain the mine water irrigation suitability evaluation sample data.
9. The method for evaluating the suitability of mine water irrigation based on different water quality characteristics as described in claim 1, characterized in that, The irrigation suitability assessment is conducted using the aforementioned mine water irrigation suitability assessment model, including: Input the water quality parameters of the mine water to be evaluated and the physiological and ecological characteristics of the plants into the mine water irrigation suitability evaluation model to evaluate irrigation suitability, and output the mine water irrigation suitability evaluation results. The mine water irrigation suitability evaluation results include the matching level between the plant physiological and ecological characteristics and the mine water quality.
10. A mine water irrigation suitability evaluation system based on different water quality characteristics, characterized in that, The steps for implementing the mine water irrigation suitability evaluation method based on different water quality characteristics according to any one of claims 1 to 9, wherein the mine water irrigation suitability evaluation system based on different water quality characteristics comprises: The mine water quality testing module is used to collect mine water samples from different sources for water quality testing, obtain mine water quality testing data, and construct a mine water quality characteristic database based on the characteristic information of the mine water samples and the mine water quality testing data. The mine water irrigation experiment module is used to classify the mine water quality characteristic database according to the irrigation water quality classification standard to obtain a preliminary mine water irrigation suitability level set, and select salt-tolerant plants to conduct mine water irrigation experiments according to the preliminary mine water irrigation suitability level set, and monitor and record the mine water irrigation data set. The dynamic change analysis module is used to perform dynamic change analysis on the mine water irrigation data set to obtain plant ecological response change parameters and soil water and salt change characteristics. The suitability assessment module is used to establish a mine water irrigation suitability assessment model based on the preliminary mine water irrigation suitability level set, the plant ecological response change parameters, and soil water and salt change characteristics, and to conduct irrigation suitability assessment through the mine water irrigation suitability assessment model.