32 results about "Ecological indicator" patented technology

The invention provides an ecological index prediction method based on mangrove ecological big data, which mainly includes the following steps: 1) determining the mangrove ecological protection area. 2) Establish a dataset of mangrove ecological indicators. 3) Preprocess the data set T and data set Y. 4) Linearize the data set T to obtain a linear training set S. 5) Establish a prediction model for mangrove ecological indicators. 6) Using the mangrove ecological index prediction model, the linear training set S and the mangrove ecological health evaluation grade judgment table to predict the future ecological health status of the mangrove in the mangrove ecological protection area. The present invention utilizes these predicted important ecological indicators and combines the mangrove ecological health evaluation grade judgment table to finally realize accurate prediction of the mangrove ecological health status.

The invention discloses an ecological environment quality evaluation method based on water ecological benefits, and relates to the technical field of ecological environment quality evaluation, including step S1, constructing an ecological index through the structure and function of the ecological environment; step S2, multi-indicator fusion based on entropy; The invention makes full use of the characteristics of the ecological environment in terms of structure and function, and constructs reasonable ecological indicators, especially the construction and addition of water ecological elements, so that WBEI can more accurately describe the complexity of the ecological environment. By introducing the concept of information entropy, the interaction relationship between the ecological environment and ecological indicators is clearly revealed, and because the index weight obtained by the fusion method based on information entropy is obtained by calculating the amount of image information, compared with the traditional fusion method It is more objective and can avoid the interference of human subjective factors.

A method for evaluating ecological restoration of a city watercourse is characterized by comprising the following steps that (A) a city watercourse ecological restoration evaluating system is established to be of a three-level evaluation system structure, the ecological restoration evaluating system serves as a large system, a second-level index serves as a rule layer is divided into three sub-systems of watercourse water quality condition, ecological system health and ecological landscape suitable degree, and third-level indexes represent a plurality of specific indexes and can directly reflect the total situation of each sub-system; (B) an evaluation step is executed: (B1) the watercourse to be evaluated is determined, and a sampling station is designed according to the length of the watercourse; (B2) sample acquisition and analysis are performed including (B21) physical and chemical indexes of water quality, (B22) ecological index (B23) ecological landscape suitable degree index; (B3) evaluation results are analyzed; (B4) the ecological health situation of the watercourse is judged. The method has the important significance on scientific evaluation on the ecological treatment effect of the watercourse and consolidation of ecological treatment results of the watercourse and is suitable for application in evaluation on the ecological restoration of the city watercourse.

The invention discloses a river ecosystem health monitoring and evaluation method and system. The method comprises the following steps: collecting river ecological indicators according to a predetermined time, constructing an ecological index matrix; constructing a river health evaluation module based on a river biological environment adaptability curve; Construct a pressure-state-response model; based on the ecological index matrix, and through the river health evaluation module and the pressure-state-response model, calculate the health value of the river ecosystem. The technical scheme of the invention can solve the problem of heavy collection workload and difficult collection in some areas. Through the intelligent collection system and method, the workload of collection can be greatly reduced, and the efficiency of collection, monitoring and evaluation can be improved.

The invention discloses an experimental device for vegetation ecological indicators under field conditions, comprising a plurality of isolation units arranged at intervals and an auxiliary mechanism detachably connected to the isolation units; the isolation unit includes a plurality of isolation frames arranged at intervals and having a hollow structure inside The body and the support frame arranged at the four peripheral corners of the isolation frame body, the auxiliary mechanism is detachably connected to the support frame, and a soil layer is laid in the isolation frame body. The experimental device has a reliable structure and is easy to use. According to the needs of the experiment, an appropriate number of isolation units are selected to be buried under natural conditions in the field, and auxiliary mechanisms of different structures are installed according to the needs of the experimental conditions, so as to realize the reliability of vegetation ecological indicators in the natural state of the field. The detection can effectively improve the authenticity and reliability of the detection results, and through the detachable connection between the isolation frame and the auxiliary mechanism, the convenience of disassembly and assembly is effectively improved, and the work efficiency is improved.

The invention provides a mangrove ecological health evaluation method based on a stacked noise reduction automatic coding algorithm, which mainly includes the following steps: 1) determining a mangrove ecological protection area. 2) Establish a dataset of mangrove ecological indicators. 3) Preprocess the data set X and data set Y. Remember that the data set X is normalized to the data set R 1 . 4) Use the stacked denoising auto-encoding algorithm to train the data in the dataset X. 5) Establish a prediction model for mangrove ecological indicators. 6) Using the mangrove ecological index prediction model, the linear training set S and the mangrove ecological health evaluation grade judgment table to predict the future ecological health status of the mangroves in the mangrove ecological protection area. The present invention utilizes these predicted important ecological indicators, combined with the mangrove ecological health evaluation grade judgment table, and finally realizes accurate prediction of the mangrove ecological health status.