Dry valley collapse body vegetation recovery method and device

Abstract

The invention provides an arid valley collapse body vegetation restoration method and device, and belongs to the technical field of ecological governance, the arid valley collapse body vegetation restoration method comprises the following steps: obtaining environmental data of a collapse body, determining candidate plant species based on the data, and generating a plurality of candidate restoration schemes; plant combinations of different ages are covered, long-term ecological benefits are ensured, water resource changes are dynamically simulated through a water balance model, water resource data in a collapsed body can be updated in real time, the long-term water resource changes can be predicted, and the adaptability index is determined in combination with water demand data of the plants at the current age. According to the method, the performance of the plant in the restoration scheme can be accurately evaluated, and then the most suitable scheme is selected from the plurality of candidate restoration schemes, so that the restoration plant can adapt to the environmental condition of the collapse body, and the long-term stability and the restoration effect of vegetation are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of ecological management, and in particular to a method and device for restoring vegetation of a collapsed body in an arid river valley. Background Art

[0002] Arid valley landslide refers to the collapse of rock and soil bodies caused by natural or human factors in arid or semi-arid valley areas. Arid valleys usually have complex geological structures, such as weathering, erosion and fracture of rock layers. The fragility of the geological structure may lead to landslides. Although there is little precipitation in arid areas, occasional heavy rain or seasonal rainfall in the valley may still have an impact on the rock and soil. Soil saturation or water erosion caused by precipitation can also trigger landslides. Weathering in arid areas may cause the strength of rocks and soil to decrease, making landslides more likely to occur.

[0003] Plants play an important role in rock and soil stability. Vegetation is scarce in arid areas, and the soil lacks support for plant roots. Vegetation restoration of the collapsed body can significantly improve the geological environment of the collapsed body area, which is conducive to environmental restoration. In the prior art, suitable plant species are simply selected according to the terrain, topography, and soil site conditions of the collapsed body, or suitable plants are selected for planting according to the rock and soil properties of the collapsed body. However, due to the dry climate in the arid river valley area, water resources are relatively tight most of the time, which is not conducive to the long-term survival and growth of plants. Vegetation restoration in the prior art has watering management in the short-term process of planting, but the rock and soil properties of the collapsed body are quite different from the surrounding environment, and most of them are rocks and soils with poor water storage capacity. Their water storage capacity and soil moisture changes are relatively independent of the surrounding environment, and it is difficult to integrate with the surrounding environment for a long time after the plant is planted. Therefore, when repairing vegetation, if the impact of long-term water resource changes in the collapsed body on plant growth is not considered, plants are prone to water shortages and other problems in the long-term process after vegetation restoration, which is not conducive to the recovery of vegetation. Summary of the invention

[0004] The present invention provides a method and device for restoring vegetation of arid river valley collapse bodies, which are used to solve the defect that the plants planted in the prior art are prone to water shortage in the later stage, and achieve the effect of improving the long-term stability of the restored vegetation.

[0005] The present invention provides a method for restoring vegetation of arid river valley collapse bodies, comprising:

[0006] Acquiring environmental data of the collapse body, and determining candidate plant species for planting based on the environmental data;

[0007] Based on the candidate plant species, generating candidate restoration schemes for planting; the candidate restoration schemes include combinations of multiple candidate species of plants of different ages;

[0008] Based on the plant growth model, determining the water demand data of various types of plants at different ages in the candidate restoration scheme;

[0009] Based on the water resource data in the environmental data of the collapse body and the water demand data of various types of plants at the current age in the candidate restoration scheme, the water resource data in the environmental data of the collapse body is iteratively updated in chronological order; the water balance model is used to dynamically simulate the water cycle process between the soil, vegetation and atmosphere of the collapse body;

[0010] Based on the water resource data in the updated environmental data of the collapse body and the water demand data of various types of plants in the updated candidate restoration scheme at the iterated age, determine the suitability index of various types of plants in the candidate restoration scheme;

[0011] Based on the adaptability index of various types of plants in the candidate restoration schemes, a target restoration scheme for restoring vegetation on the collapsed body is determined.

[0012] According to a method for restoring vegetation of arid river valley collapse bodies provided by the present invention, the iterative updating of water resource data in environmental data of the collapse body in chronological order comprises:

[0013] Acquire climate data from the environmental data of the collapse body, and obtain a precipitation time series table of the collapse body in the future period based on the climate data; obtain water demand data of various types of plants in the candidate restoration scheme in the future period based on the growth models of various types of plants in the candidate restoration scheme;

[0014] Based on the precipitation time series table of the collapse body in the future period, the water demand data of various types of plants in the candidate restoration scheme in the future period, and the water demand characteristics of various types of plants in the candidate restoration scheme in different seasons, the water resource data in the environmental data of the collapse body is iteratively updated.

[0015] According to a method for restoring vegetation on a collapsed body in an arid river valley provided by the present invention, the target restoration scheme for restoring vegetation on the collapsed body is determined based on the adaptability index of various types of plants in the candidate restoration schemes, including:

[0016] During the iteration process, at each target interval, the suitability index of each type of plant in the candidate restoration scheme is compared with the suitability index threshold at the corresponding age.

[0017] If, after a target number of target durations, the suitability index of each type of plant in the candidate restoration scheme is still greater than the suitability index threshold at the corresponding age, the target restoration scheme is determined based on the candidate restoration scheme.

[0018] According to a method for restoring vegetation of arid river valley collapse bodies provided by the present invention, after determining the target restoration scheme based on the candidate restoration schemes, the method further comprises:

[0019] In the case of multiple candidate restoration schemes, the soil layer depth where the roots of various types of plants in the candidate restoration schemes are located after the target number and target time is determined based on the plant growth model;

[0020] The target restoration scheme is determined from the candidate restoration schemes based on the soil layer depths where the roots of various types of plants are located after a target number of target periods of time.

[0021] According to a method for restoring vegetation of arid river valley collapse bodies provided by the present invention, the method determines the adaptability index of various types of plants in the candidate restoration scheme based on the water resource data in the updated environmental data of the collapse body and the water demand data of various types of plants in the updated candidate restoration scheme at the iterated age, including:

[0022] During the iteration process, water resource data in the updated environmental data of the collapsed body and water demand data of various types of plants in the updated candidate restoration scheme at the age after iteration are obtained according to the target frequency;

[0023] Based on the ratio of the water demand data of various types of plants in the updated candidate restoration scheme at the iterated age and the water resource data in the updated environmental data of the collapse body, the suitability index of various types of plants in the candidate restoration scheme is determined.

[0024] According to a method for restoring vegetation in arid river valley collapse bodies provided by the present invention, the water balance model is determined by the following formula:

[0025] dS(t) / dt=P(t)-E(t)-R(t)-ΔW(t);

[0026] Among them, S(t) is the water resource data of the collapse body, which is used to indicate the water content in the soil of the collapse body, P(t) is the precipitation of the collapse body, E(t) is the evapotranspiration of the collapse body, R(t) is the infiltration of the collapse body, and ΔW(t) is the water demand data of plants.

[0027] According to a method for restoring vegetation of arid river valley collapse bodies provided by the present invention, candidate restoration plans for planting are determined based on the heights and canopy areas of candidate plant species at different ages.

[0028] The present invention also provides a device for restoring vegetation of arid river valley collapse bodies, comprising:

[0029] An acquisition module, used for acquiring environmental data of the collapse body, and determining candidate plant species for planting based on the environmental data;

[0030] A first processing module is used to generate candidate restoration schemes for planting based on candidate plant species; the candidate restoration schemes include combinations of multiple candidate plant species of different ages;

[0031] The second processing module is used to determine the water demand data of various types of plants at different ages in the candidate restoration scheme based on the plant growth model;

[0032] An iterative simulation module is used to iteratively update the water resource data in the environmental data of the collapse body in chronological order based on the water resource data in the environmental data of the collapse body and the water demand data of various types of plants at the current age in the candidate restoration schemes input into the water balance model; the water balance model is used to dynamically simulate the water cycle process between the soil, vegetation and atmosphere of the collapse body;

[0033] An evaluation module, used to determine the suitability index of various types of plants in the candidate restoration scheme based on the water resource data in the updated environmental data of the collapse body and the water demand data of various types of plants in the updated candidate restoration scheme at the iterated age;

[0034] The confirmation module is used to determine a target restoration scheme for restoring vegetation on the collapsed body based on the adaptability index of various types of plants in the candidate restoration schemes.

[0035] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, any of the above-mentioned methods for restoring vegetation in arid river valley collapse bodies is implemented.

[0036] The present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the method for restoring vegetation of a dry river valley collapse body as described in any one of the above is implemented.

[0037] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the method for restoring vegetation of a dry river valley collapse body as described above is implemented.

[0038] The present invention provides a method and device for restoring vegetation in a collapsed body in an arid river valley. The method and device obtain environmental data of the collapsed body and determine candidate plant species based on the data, generate multiple candidate restoration plans, cover plant combinations of different ages, ensure long-term ecological benefits, and use a water balance model to dynamically simulate water resource changes. The method can update water resource data in the collapsed body in real time, predict long-term water resource changes, and determine a suitability index in combination with water demand data of the plants at their current age. The method can accurately evaluate the performance of plants in the restoration plan, and then select the most suitable plan from multiple candidate restoration plans, so that the restoration plants can adapt to the environmental conditions of the collapsed body and improve the long-term stability and restoration effect of the vegetation. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0040] Figure 1 This is one of the flow diagrams of a method for restoring vegetation in arid river valley collapse bodies provided by the present invention;

[0041] Figure 2 This is the second flow chart of a method for restoring vegetation in arid river valley collapse bodies provided by the present invention;

[0042] Figure 3 It is a structural schematic diagram of a device for restoring vegetation of arid river valley collapse body provided by the present invention;

[0043] Figure 4 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] Combine the following Figure 1-Figure 4 The present invention describes a method and device for restoring vegetation of arid river valley collapse bodies.

[0046] like Figure 1As shown, a method for restoring vegetation of a drought valley collapse body according to an embodiment of the present invention mainly includes step 110, step 120, step 130, step 140, step 150 and step 160.

[0047] Step 110, obtaining environmental data of the landslide body, and determining candidate plant species for planting based on the environmental data.

[0048] In the process of landslide restoration, obtaining and analyzing the environmental data of the landslide is an important basis for selecting candidate plant species suitable for planting. Environmental data can include climate data, soil data, water content data, etc.

[0049] Climate data is mainly used to understand the climate conditions in the area where the collapse body is located, which are crucial for plant growth. Climate data can be obtained by obtaining weather station data, satellite remote sensing data, and historical climate data, and climate data for a long period of time in the future can be predicted through climate prediction models.

[0050] Weather station data can be long-term climate records of weather stations obtained from the Meteorological Bureau. These records usually include temperature, precipitation, wind speed, humidity, etc. Satellite remote sensing data is regional climate data obtained using satellite remote sensing technology, such as precipitation, temperature distribution, etc. Historical climate data can be obtained by obtaining historical records from the meteorological department to analyze climate change trends over the past few decades. Regional climate models (such as the WRF model) can also be used to predict future climate change trends.

[0051] Suitable plant species can be determined by analyzing climate data. For example, the annual average temperature, maximum temperature, minimum temperature and their seasonal changes can be analyzed to assess the adaptability of plants to temperature. The total annual precipitation and seasonal precipitation distribution can also be analyzed to determine whether the water demand of plants can be met.

[0052] Soil data includes the physical and chemical properties of the soil, which have a direct impact on plant growth. Soil sampling can be carried out in different areas of the collapse body, and the physical and chemical properties of the soil can be obtained through laboratory analysis, including texture, pH value, organic matter content, nutrient content, soil structure and other data.

[0053] You can analyze which plants grow best in this soil condition based on soil texture, pH, organic matter and nutrient content. Assess whether the nutrients in the soil are sufficient to support the growth of vegetation and consider improving the soil or adding fertilizer if necessary.

[0054] Soil moisture content is an important indicator of whether plants can grow normally, especially in arid and water-scarce landslide areas.

[0055] Soil moisture sensors can be installed in the landslide area to monitor the moisture content of the soil in real time.

[0056] After obtaining and analyzing the environmental data of the collapse body, suitable candidate plant species can be selected based on these data.

[0057] Specifically, plant ecological databases (such as the TRY database, FAO database, etc.) can be used to query plant species suitable for growth under current climate, soil and water resource conditions, and plant species that have adapted to local environmental conditions can be given priority.

[0058] In this embodiment, by acquiring and analyzing the climate data, soil data and water content data of the collapse body, the environmental conditions of the area can be accurately assessed. Based on these data and combined with the ecological needs of plants, suitable candidate plant species can be screened to improve the success rate of vegetation restoration.

[0059] Step 120, generating candidate restoration plans for planting based on the candidate plant species.

[0060] Candidate restoration options include a combination of multiple candidate plant species of different ages.

[0061] Understandably, candidate restoration schemes need to consider the age of each plant species (e.g. seedlings, mature plants, mature trees) to ensure the continuity and multi-level nature of vegetation cover.

[0062] When generating candidate restoration plans for planting, trees, shrubs, and herbs of different ages can be combined to form a community with diverse ecological niches. Symbiotic or complementary relationships between plants can also be considered, and combinations that can promote each other's growth can be selected.

[0063] On this basis, multiple plant combination schemes are generated, each of which covers multiple plant species of different ages, which can improve the ecological restoration effect and the long-term stability of the collapse body vegetation.

[0064] In some embodiments, candidate restoration options for planting are determined based on the height and canopy area of ​​candidate plant species at different ages.

[0065] Taller plants (trees) provide shade in the upper layer, and lower plants (shrubs, herbs) grow in the lower layer. Determine the planting density of each plant based on the canopy area to avoid over-dense or sparse planting.

[0066] By considering the height and canopy area of ​​plants, the spatial canopy coverage of different plant combinations can be evaluated to avoid excessive overlap or too many gaps, ensuring that different plant species and age groups can effectively complement each other and form a balanced community structure.

[0067] Through the data of height and canopy area, we can design plant combinations of different levels and reasonable structures to generate restoration plans suitable for the collapse environment, ensure the maximum spatial utilization of vegetation, improve the effect of ecological restoration and the long-term stability of the community.

[0068] Step 130, based on the plant growth model, determine the water demand data of various types of plants at different ages in the candidate restoration scheme.

[0069] Plant growth models are used to simulate the growth of plants at different ages and estimate their water requirements. Common plant growth models include empirical models and process models.

[0070] Empirical models can be regression models based on measured data, which are simple and easy to use. Process models such as biogeochemical models (such as BIOME-BGC) or vegetation productivity models (such as 3-PG) can also accurately simulate plant growth and water requirements.

[0071] Step 140, based on the water resource data in the environmental data of the collapse body and the water demand data of various types of plants at their current ages in the candidate restoration schemes, the water resource data in the environmental data of the collapse body are input into the water balance model, and the water resource data in the environmental data of the collapse body are iteratively updated in chronological order.

[0072] The water balance model is used to dynamically simulate the water cycle between the soil, vegetation and atmosphere of the landslide body.

[0073] The core of the water balance model is to calculate the balance between water input and output in the ecosystem of the collapse body over a specified period of time. Water input includes precipitation and irrigation, and water output includes evapotranspiration (evaporation and transpiration), infiltration and soil moisture changes.

[0074] The environmental data input of the water balance model at least includes water resource data in the environmental data of the collapse body, and also includes climate data and soil data.

[0075] Climate data can include precipitation, evapotranspiration, temperature, wind speed, relative humidity, solar radiation, etc., which determine water input (precipitation) and evapotranspiration.

[0076] Soil data will affect the soil's texture, structure, initial moisture content, saturated hydraulic conductivity, etc., which in turn affects the water infiltration and storage capacity.

[0077] The vegetation data input to the water balance model includes at least the water demand data of the plants, which is based on the previously calculated water demand data of each plant species at the current age, and may also include data on transpiration and water absorption capacity.

[0078] In some embodiments, the water balance model is determined by the following formula:

[0079] dS(t) / dt=P(t)-E(t)-R(t)-ΔW(t);

[0080] Among them, S(t) is the water resource data of the collapse body, which is used to indicate the water content in the soil of the collapse body, P(t) is the precipitation of the collapse body, E(t) is the evapotranspiration of the collapse body, R(t) is the infiltration of the collapse body, and ΔW(t) is the water demand data of plants.

[0081] S(t) is the water resource data of the collapse body at time t, which mainly indicates the water content in the soil of the collapse body. This is the core variable of the water balance model, which is used to indicate the actual amount of water available in the soil.

[0082] P(t) is the precipitation at time t, which is the main source of water input and represents the amount of water entering the soil system through rainfall.

[0083] E(t) is the evapotranspiration at time t, which is one of the main ways of water output, including evaporation and transpiration.

[0084] Evaporation is the direct evaporation of soil moisture into the atmosphere through the ground surface. Transpiration is the absorption of water from the soil by plants through their roots and the release of water into the atmosphere in the form of vapor through leaves and other parts.

[0085] R(t) is the infiltration at time t, which is another form of water output and represents the part of water that penetrates into the deep underground or flows out of the collapse area. This part of water no longer participates in the water cycle of the surface soil and plants.

[0086] ΔW(t) is the water demand data of the plant at time t, which indicates the amount of water that the plant needs to absorb from the soil through its roots for its growth, metabolism and other physiological processes.

[0087] In some embodiments, the depth and distribution of plant roots may also be considered, which may affect the water acquisition ability of the plant. Plants with deep root systems can absorb water from deeper soil layers.

[0088] Based on the water resource data in the environmental data of the collapse body and the water demand data of various types of plants at their current age in the candidate restoration schemes, an appropriate time length (such as months or years) is selected and a simulation cycle is set, usually simulating several growing seasons or multi-year changes.

[0089] Based on climate data, the precipitation in each time step is calculated, and then the water loss in each time step is calculated based on plant transpiration, soil evaporation and surface infiltration.

[0090] According to the time step in the chronological order, the moisture status in the soil and the water demand of the plants are gradually updated. After each iteration, the water resource data of the collapse body, that is, the soil moisture content data, and the water demand data of the plants are updated and input into the water balance model as the latest input parameters for iteration.

[0091] In this embodiment, it is possible to evaluate whether water resources can meet the water demand of plants at different times in the future, and whether there is a risk of water shortage.

[0092] Step 150, based on the water resource data in the updated environmental data of the collapsed body and the water demand data of various types of plants in the updated candidate restoration scheme at the iterated age, determine the suitability index of various types of plants in the candidate restoration scheme.

[0093] The suitability index is an indicator used to evaluate the suitable living conditions of a particular species or organism in a particular environment. It is based on ecological theories such as habitat selection, niche differentiation and limiting factors to measure the suitability of an area for a certain organism. The assessment of the suitability index usually involves multiple factors, which can include climate, soil conditions, nutrient sources, the presence of natural enemies, etc. These factors together determine the suitability of a certain area for a specific species.

[0094] In this embodiment, for each plant, the ratio between its water demand and available water resources can be calculated. A higher ratio indicates that water resources are sufficient and the suitability is high. A lower ratio indicates that water resources may be insufficient and the suitability is low.

[0095] Considering that plants in collapsed bodies are more sensitive to water, the suitability index of various types of plants in candidate restoration schemes can be directly obtained based on the proportion of available water resources.

[0096] In some embodiments, based on the water resource data in the updated environmental data of the collapsed body and the water demand data of various types of plants in the updated candidate restoration schemes at the age after iteration, the suitability index of various types of plants in the candidate restoration schemes is determined, including: acquiring the water resource data in the updated environmental data of the collapsed body and the water demand data of various types of plants in the updated candidate restoration schemes at the age after iteration according to the target frequency during the iteration process; determining the suitability index of various types of plants in the candidate restoration schemes based on the ratio of the water demand data of various types of plants in the updated candidate restoration schemes at the age after iteration to the water resource data in the updated environmental data of the collapsed body.

[0097] During each iteration, updated environmental data is obtained according to the set target frequency (such as monthly, annually, etc.).

[0098] For each plant, at each iteration time point, the ratio between its water demand and the available water resources in the avalanche body is calculated.

[0099] Through iteration, the water resource data in the environment and the water demand data of the plants are continuously updated, and the plant suitability index is dynamically calculated based on the ratio of the two.

[0100] Step 160, based on the suitability index of various types of plants in the candidate restoration schemes, determine a target restoration scheme for restoring vegetation on the collapsed body.

[0101] All candidate restoration plans can be compared, sorted according to the suitability index, and the candidate restoration plan with the highest suitability index can be selected as the target restoration plan.

[0102] Alternatively, the cost of planting plants in the candidate restoration schemes can also be taken into consideration, and the candidate restoration schemes with higher suitability indexes can be selected with the lowest cost as the target restoration scheme.

[0103] In this embodiment, by comparing the suitability indexes of plants in the candidate restoration plans, a target restoration plan that best suits the environmental conditions of the landslide body is ultimately determined, thereby ensuring the scientific nature and operability of the vegetation restoration plan and improving the success rate of ecological restoration.

[0104] A method for restoring vegetation in a collapsed body in an arid river valley provided by an embodiment of the present invention obtains environmental data of the collapsed body and determines candidate plant species based on these data, generates multiple candidate restoration schemes, covers plant combinations of different ages, ensures long-term ecological benefits, and uses a water balance model to dynamically simulate water resource changes. It can update water resource data in the collapsed body in real time, predict long-term water resource changes, and determine a suitability index based on water demand data of the plants at their current age. It can accurately evaluate the performance of plants in the restoration scheme, and then select the most suitable scheme from multiple candidate restoration schemes, so that the restoration plants can adapt to the environmental conditions of the collapsed body and improve the long-term stability and restoration effect of the vegetation.

[0105] In some embodiments, the water resource data in the environmental data of the collapse body is iteratively updated in chronological order, including step 141 and step 142 .

[0106] Step 141, obtain climate data from the environmental data of the collapse body, and obtain a precipitation time series table for the collapse body in the future period based on the climate data; based on the growth models of various types of plants in the candidate restoration schemes, obtain water demand data for various types of plants in the candidate restoration schemes in the future period.

[0107] Step 142, iteratively update the water resource data in the environmental data of the collapse body based on the precipitation time series table of the collapse body in the future period, the water demand data of various types of plants in the candidate restoration schemes in the future period, and the water demand characteristics of various types of plants in the candidate restoration schemes in different seasons.

[0108] The future climate data of the area where the collapse body is located can be obtained, including temperature, humidity, precipitation, etc. Based on the climate data, the precipitation in the future period (such as season, year) is predicted, and a time series table is generated. The precipitation time series table shows the expected precipitation in each time period (such as month or quarter) in the future.

[0109] According to the water demand characteristics of plants in different growth stages (seedling stage, vigorous growth stage, mature stage, etc.), the specific water demand of each plant in the future time period is calculated. Using the plant growth model, the growth of various plants in the candidate restoration scheme in different time periods in the future can be predicted, and these time periods can be matched with the precipitation time series table.

[0110] Plants have different water requirements in different seasons, so when calculating, special consideration should be given to the impact of different seasonal periods on the balance of water supply and demand.

[0111] By calculating the total precipitation (from the precipitation time series) and the total water demand (from the plant growth model) for each time period, we can compare the balance between water supply (precipitation) and water demand (plant water demand). If there is insufficient water in a certain period of time, it may cause the soil moisture content to decrease, thus affecting plant growth; conversely, sufficient or excessive water may cause runoff or soil oversaturation.

[0112] The water resource data of the collapse body is iteratively updated based on the water resource balance in each time period. This process takes into account seasonal changes, changes in plant demand, and actual precipitation conditions, and can adapt to future climate conditions and plant growth needs, ensuring that plants have access to sufficient water resources in different seasons and time periods, thereby increasing the success rate of vegetation restoration.

[0113] In some embodiments, based on the suitability index of various types of plants in the candidate restoration schemes, a target restoration scheme for restoring vegetation on the collapsed body is determined, including the following process.

[0114] During the iteration process, at each target interval, the suitability index of each type of plant in the candidate restoration scheme is compared with the suitability index threshold at the corresponding age.

[0115] If, after a target number of target durations, the suitability index of each type of plant in the candidate restoration scheme is still greater than the suitability index threshold at the corresponding age, the target restoration scheme is determined based on the candidate restoration scheme.

[0116] The suitability index reflects the growth potential or adaptability of a plant under the current environmental conditions. A high index value indicates that the plant is highly adaptable and can grow well in this environment.

[0117] The suitability index threshold is a pre-set threshold value used to determine whether a plant can grow normally under a specific age and environmental conditions. If the plant's suitability index is higher than this threshold, it means that the plant's growth condition is suitable.

[0118] The target duration is the interval set during the iteration to evaluate the fitness index. For example, it may be weekly, monthly, or quarterly.

[0119] At the end of each target period, each plant in the candidate restoration plan can be evaluated by comparing its current suitability index with the suitability index threshold of the plant at the corresponding age.

[0120] If the suitability index is greater than the threshold, it means that the plant is growing well at that age and environment and can continue to be a candidate for restoration.

[0121] If the suitability index is less than the threshold, it means that the plant may face growth obstacles or cannot adapt to the current environment, and the plan may need to be adjusted.

[0122] The target duration of the target number means that the final evaluation is carried out after a long period of time (a period of time consisting of multiple target durations). If the suitability index of a certain type of plant continues to be higher than the corresponding threshold at each evaluation point during this period, it is considered that the plant has good adaptability in this environment.

[0123] If the suitability index of all plant species in the candidate restoration plan meets the conditions during the entire evaluation period (that is, it is greater than the corresponding suitability index threshold), then this candidate restoration plan can be determined as the final target restoration plan.

[0124] The target restoration scheme is the plant combination scheme finally selected for actual vegetation restoration, which ensures that plants can grow well under given environmental conditions.

[0125] In this implementation, regular evaluation is performed to ensure that the candidate plant species have sufficient adaptability in the landslide environment, thereby ensuring the effectiveness of the restoration plan. Only when the adaptability index of the candidate plants continues to meet the standard during the entire evaluation period will this plan be finally determined as the target restoration plan, ensuring that the selected plant combination can adapt to environmental conditions for a long time in actual application and ensuring the success of vegetation restoration work.

[0126] In some embodiments, after determining the target repair solution based on the candidate repair solutions, the method further includes the following process.

[0127] When there are multiple candidate restoration schemes, the soil layer depth where the roots of various types of plants in the candidate restoration scheme are located after the target number and target time can be determined based on the plant growth model. The plant growth model is used to predict the root growth of each plant after the target number and target time (i.e. after a set period of time).

[0128] On this basis, the target restoration plan is determined from the candidate restoration plans based on the soil depth where the roots of various types of plants are located after the target number and target time.

[0129] Plants in different restoration candidates have different root depths after the target time, which will affect the plants' ability to obtain water and nutrients from the soil.

[0130] Plants with deep roots can reach deeper into the soil to access water and nutrients at deeper levels and may be more adaptable, especially in conditions of drought or lack of deep soil moisture.

[0131] The roots of shallow-rooted plants are mainly concentrated in the soil surface. They are more dependent on the moisture and nutrients in the soil surface and can better utilize the moisture and nutrients in the shallow soil.

[0132] According to the predicted root depth and the actual soil conditions (such as soil thickness, water content, etc.), select plant combinations whose roots can adapt to the soil conditions. For example, plants with deep roots can be selected, which have better drought tolerance. Alternatively, plants with a combination of deep and shallow roots can be selected, which can effectively utilize soil moisture and nutrients, and at the same time stabilize the soil structure of the collapsed body, thereby increasing the success rate of vegetation restoration.

[0133] In this embodiment, by analyzing the depth of plant roots over a period of time in the future, their adaptability to soil conditions and their interaction with soil conditions are evaluated to determine the most appropriate target restoration plan and further optimize the vegetation restoration plan.

[0134] A device for restoring vegetation of arid river valley collapse body provided by the present invention is described below. The device for restoring vegetation of arid river valley collapse body described below and the method for restoring vegetation of arid river valley collapse body described above can be referred to each other.

[0135] like Figure 3 As shown, a vegetation restoration device for arid river valley collapse body according to an embodiment of the present invention mainly includes an acquisition module 310 , a first processing module 320 , a second processing module 330 , an iterative simulation module 340 , an evaluation module 350 and a confirmation module 360 ​​.

[0136] The acquisition module 310 is used to acquire environmental data of the collapse body and determine candidate plant species for planting based on the environmental data;

[0137] The first processing module 320 is used to generate candidate restoration schemes for planting based on candidate plant species; the candidate restoration schemes include combinations of multiple candidate plant species of different ages;

[0138] The second processing module 330 is used to determine the water demand data of various types of plants at different ages in the candidate restoration scheme based on the plant growth model;

[0139] The iterative simulation module 340 is used to iteratively update the water resource data in the environmental data of the collapse body in chronological order based on the water resource data in the environmental data of the collapse body and the water demand data of various types of plants at the current age in the candidate restoration schemes input into the water balance model; the water balance model is used to dynamically simulate the water cycle process between the soil, vegetation and atmosphere of the collapse body;

[0140] The evaluation module 350 is used to determine the suitability index of various types of plants in the candidate restoration scheme based on the water resource data in the updated environmental data of the collapsed body and the water demand data of various types of plants in the updated candidate restoration scheme at the iterated age;

[0141] The confirmation module 360 ​​is used to determine a target restoration scheme for restoring vegetation on the collapsed body based on the suitability index of various types of plants in the candidate restoration schemes.

[0142] According to an embodiment of the present invention, a vegetation restoration device for a landslide body in an arid river valley is provided. The device obtains environmental data of the landslide body and determines candidate plant species based on the data, generates multiple candidate restoration schemes, covers plant combinations of different ages, ensures long-term ecological benefits, and uses a water balance model to dynamically simulate water resource changes. It can update water resource data in the landslide body in real time, predict long-term water resource changes, and determine a suitability index based on water demand data of the plant at its current age. It can accurately evaluate the performance of plants in the restoration scheme, and then select the most suitable scheme from multiple candidate restoration schemes, so that the restoration plants can adapt to the environmental conditions of the landslide body and improve the long-term stability and restoration effect of the vegetation.

[0143] Figure 4 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 4As shown, the electronic device may include: a processor (processor) 410, a communication interface (Communications Interface) 420, a memory (memory) 430 and a communication bus 440, wherein the processor 410, the communication interface 420, and the memory 430 communicate with each other through the communication bus 440. The processor 410 can call the logic instructions in the memory 430 to execute the method for restoring vegetation in arid river valley collapse bodies, which method includes: obtaining environmental data of the collapse body, and determining candidate plant species for planting based on the environmental data; generating candidate restoration schemes for planting based on the candidate plant species; the candidate restoration schemes include a combination of multiple candidate plant species of different ages; based on a plant growth model, determining water demand data of various types of plants at different ages in the candidate restoration schemes; based on the water resource data in the environmental data of the collapse body and the water demand data of various types of plants in the candidate restoration schemes at the current age, inputting them into a water balance model, and iteratively updating the water resource data in the environmental data of the collapse body in chronological order; the water balance model is used to dynamically simulate the water cycle process between the soil, vegetation and atmosphere of the collapse body; based on the water resource data in the updated environmental data of the collapse body and the water demand data of various types of plants in the updated candidate restoration schemes at the iterated age, determining the suitability index of various types of plants in the candidate restoration schemes; based on the suitability index of various types of plants in the candidate restoration schemes, determining a target restoration scheme for restoring vegetation on the collapse body.

[0144] In addition, the logic instructions in the above-mentioned memory 430 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0145] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the vegetation restoration method for arid river valley collapse bodies provided by the above methods. The method includes: obtaining environmental data of the collapse body, and determining candidate plant species for planting based on the environmental data; generating candidate restoration plans for planting based on the candidate plant species; the candidate restoration plans include a combination of multiple candidate plant species of different ages; based on a plant growth model, determining water demand data of various plant species at different ages in the candidate restoration plans; based on The water resource data in the environmental data of the collapse body and the water demand data of various types of plants at the current age in the candidate restoration schemes are input into the water balance model, and the water resource data in the environmental data of the collapse body are iteratively updated in chronological order; the water balance model is used to dynamically simulate the water cycle process between the soil, vegetation and atmosphere of the collapse body; based on the updated water resource data in the environmental data of the collapse body and the updated water demand data of various types of plants in the candidate restoration schemes at the iterated age, the suitability index of various types of plants in the candidate restoration schemes is determined; based on the suitability index of various types of plants in the candidate restoration schemes, the target restoration scheme for vegetation restoration of the collapse body is determined.

[0146] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the vegetation restoration method for arid river valley collapse bodies provided by the above-mentioned methods, the method comprising: obtaining environmental data of the collapse body, and determining candidate plant species for planting based on the environmental data; generating candidate restoration plans for planting based on the candidate plant species; the candidate restoration plans include a combination of multiple candidate plant species of different ages; determining water demand data of various plant species at different ages in the candidate restoration plans based on a plant growth model; and determining water resource data based on the environmental data of the collapse body. The water resource data in the environmental data of the collapse body and the water demand data of various types of plants in the candidate restoration schemes at the current age are input into the water balance model, and the water resource data in the environmental data of the collapse body are iteratively updated in chronological order; the water balance model is used to dynamically simulate the water cycle process between the soil, vegetation and atmosphere of the collapse body; based on the water resource data in the updated environmental data of the collapse body and the water demand data of various types of plants in the updated candidate restoration schemes at the iterated age, the suitability index of various types of plants in the candidate restoration schemes is determined; based on the suitability index of various types of plants in the candidate restoration schemes, the target restoration scheme for vegetation restoration of the collapse body is determined.

[0147] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0148] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0149] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the concept and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for restoring vegetation in arid river valley collapse bodies, characterized in that: include: Acquiring environmental data of the collapse body, and determining candidate plant species for planting based on the environmental data; Based on the candidate plant species, generating candidate restoration schemes for planting; the candidate restoration schemes include combinations of multiple candidate species of plants of different ages; Based on the plant growth model, determining the water demand data of various types of plants at different ages in the candidate restoration scheme; Based on the water resource data in the environmental data of the collapse body and the water demand data of various types of plants at the current age in the candidate restoration scheme, the water resource data in the environmental data of the collapse body is iteratively updated in chronological order; the water balance model is used to dynamically simulate the water cycle process between the soil, vegetation and atmosphere of the collapse body; Based on the water resource data in the updated environmental data of the collapse body and the water demand data of various types of plants in the updated candidate restoration scheme at the iterated age, determine the suitability index of various types of plants in the candidate restoration scheme; Based on the adaptability index of various types of plants in the candidate restoration schemes, a target restoration scheme for restoring vegetation on the collapsed body is determined.

2. The method for restoring vegetation of arid river valley collapse bodies according to claim 1, characterized in that: The iterative updating of the water resource data in the environmental data of the collapse body in chronological order comprises: Acquire climate data from the environmental data of the collapse body, and obtain a precipitation time series table of the collapse body in the future period based on the climate data; obtain water demand data of various types of plants in the candidate restoration scheme in the future period based on the growth models of various types of plants in the candidate restoration scheme; Based on the precipitation time series table of the collapse body in the future period, the water demand data of various types of plants in the candidate restoration scheme in the future period, and the water demand characteristics of various types of plants in the candidate restoration scheme in different seasons, the water resource data in the environmental data of the collapse body is iteratively updated.

3. The method for restoring vegetation of arid river valley collapse bodies according to claim 1, characterized in that: The target restoration scheme for restoring vegetation on the collapsed body is determined based on the suitability index of various types of plants in the candidate restoration schemes, including: During the iteration process, at each target interval, the suitability index of each type of plant in the candidate restoration scheme is compared with the suitability index threshold at the corresponding age. If, after a target number of target durations, the suitability index of each type of plant in the candidate restoration scheme is still greater than the suitability index threshold at the corresponding age, the target restoration scheme is determined based on the candidate restoration scheme.

4. The method for restoring vegetation of arid river valley collapse bodies according to claim 3, characterized in that: After determining the target repair solution based on the candidate repair solutions, the method further includes: In the case of multiple candidate restoration schemes, the soil layer depth where the roots of various types of plants in the candidate restoration schemes are located after the target number and target time is determined based on the plant growth model; The target restoration scheme is determined from the candidate restoration schemes based on the soil layer depths where the roots of various types of plants are located after a target number of target periods of time.

5. The method for restoring vegetation of arid river valley collapse bodies according to claim 1, characterized in that: The method of determining the suitability index of various types of plants in the candidate restoration scheme based on the water resource data in the updated environmental data of the collapsed body and the water demand data of various types of plants in the updated candidate restoration scheme at the iterated age includes: During the iteration process, water resource data in the updated environmental data of the collapsed body and water demand data of various types of plants in the updated candidate restoration scheme at the age after iteration are obtained according to the target frequency; Based on the ratio of the water demand data of various types of plants in the updated candidate restoration scheme at the iterated age and the water resource data in the updated environmental data of the collapse body, the suitability index of various types of plants in the candidate restoration scheme is determined.

6. The method for restoring vegetation of arid river valley collapse bodies according to claim 1, characterized in that: The water balance model is determined by the following formula: dS(t) / dt=P(t)-E(t)-R(t)-ΔW(t); Among them, S(t) is the water resource data of the collapse body, which is used to indicate the water content in the soil of the collapse body, P(t) is the precipitation of the collapse body, E(t) is the evapotranspiration of the collapse body, R(t) is the infiltration of the collapse body, and ΔW(t) is the water demand data of plants.

7. The method for restoring vegetation of arid river valley collapse bodies according to claim 1, characterized in that: Candidate restoration options for planting are identified based on the height and canopy area of ​​candidate plant species at different ages.

8. A device for restoring vegetation of collapsed bodies in dry river valleys, characterized in that: include An acquisition module, used for acquiring environmental data of the collapse body, and determining candidate plant species for planting based on the environmental data; A first processing module is used to generate candidate restoration schemes for planting based on candidate plant species; the candidate restoration schemes include combinations of multiple candidate plant species of different ages; The second processing module is used to determine the water demand data of various types of plants at different ages in the candidate restoration scheme based on the plant growth model; An iterative simulation module is used to iteratively update the water resource data in the environmental data of the collapse body in chronological order based on the water resource data in the environmental data of the collapse body and the water demand data of various types of plants at the current age in the candidate restoration schemes input into the water balance model; the water balance model is used to dynamically simulate the water cycle process between the soil, vegetation and atmosphere of the collapse body; An evaluation module, used to determine the suitability index of various types of plants in the candidate restoration scheme based on the water resource data in the updated environmental data of the collapse body and the water demand data of various types of plants in the updated candidate restoration scheme at the iterated age; The confirmation module is used to determine a target restoration scheme for restoring vegetation on the collapsed body based on the adaptability index of various types of plants in the candidate restoration schemes.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, characterized in that: When the processor executes the program, the method for restoring vegetation of a dry river valley collapse body as described in any one of claims 1 to 7 is implemented.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for restoring vegetation of a dry river valley collapse body as claimed in any one of claims 1 to 7 is implemented.

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