小波神经网络在生态环境敏感性分析中的应用——以呼和浩特市为例

RESEARCH OF WAVELET NEURAL NETWORKS IN ECOLOGICAL SENSITIVITY ANALYSIS——A case of hohhot city

本文应用小波神经模型对呼和浩特市进行生态敏感性分析,探讨了人工智能方法在生态环境敏感性评价中的应用。结果表明:呼和浩特市郊区和土默特左旗的生态区域为轻度敏感区域,托克托县、清水河县、和林格尔县和武川县为中度敏感区域,各旗县区引起生态环境脆弱的原因有所不同,自然因素仍然是主要原因,但人类生产生活活动是直接推动力。因而对不同地区采取不同生态保护措施和产业结构调整具有重要意义。

This paper analyzed Hohhot city ecological sensitivity using wavelet neural model and probed the application of artificial intelligence methods in environmental sensitivity evaluation.The results indicated that the Hohhot suburbs and Tumote ecological sensitive region are mild;Tuoketuo,Qingshuihe,Helingeer and Wuchuan ecological sensitive region are moderate.The reason for the differences is varied much.Natural factors are the main ones,but human activity is the direct driving force.So different ecological protection measures should be taken on different regions,and adjusted the industrial structure are great significance.