Research on evaluation indicator system and methods of ecological environment quality of irrigation areas

摘要

Evaluating ecological environment quality of irrigation areas plays a key role in ecological environment protection and is a research hotspot and difficulty for the researcher related. Firstly, the paper designs a new indicator system for ecological environment quality evaluation of irrigation areas; Then, a new algorithm structure is constructed and different learning methods are chosen to design a new fuzzy Backpropagation (BP) neural network algorithm to help it get its global optimum and speed up its calculation; Finally, the designed evaluation indicator system and improved algorithm are realized to evaluate ecological environment quality of irrigation areas, taking three irrigation areas for experimental sample and the experimental results indicates that the improved algorithm has great superiorities, such as fast convergence speed, high evaluation accuracy, simple algorithm process, etc.