BP Neural Network Environment Quality Appraisal of Zhejiang Agricultural Soil
The Paper sets out to establish a BP Neural Network model for the quality appraisal of agricultural soil environment in accordance with the limit of Cu, Pb, Zn, As, Hg, Cr, Cd, Ni and pH prescribed by the Quality Standard of the Peoples Republic of China on Soil Environment Quality (GBI5618-1995), and carry out comprehensive appraisal of the shallow and deep soil environment quality of Zhejiang province. The appraisal result shows that the quality of shallow soil in most areas of Zhejiang province maintains natural conditions and eastern Zhejiang and central Zhejiang have relatively more points of high heavy metal element content as compared to other areas, with sample points above Grade Ⅱ exceeding 25％. The polluting points are apparently associated with counties (cities) of dense population. Especially, there are large areas of Grade Ⅱ or above soil in Ruian-Wenzhou, Taizhou-Wenling, Ningbo-Beicang with many sample points exceeding Grade Ⅲ. All the soil in some major counties (cities), such as Fenghua, Ninghai, Xiangshan, Linhai, Yuhuan, Leqing, Pingyang and Cangnan, reaches Grade Ⅱ and Grade IE quality standard with the soil of certain area exceeding the critical value for guaranteeing farming production and normal vegetable growth. The heavy metal pollution of shallow soil is apparently associated with human activities.The deep soil in the whole province basically maintains natural conditions with few points of high heavy metal element content in northern Zhejiang and central Zhejiang, which is related to subsoil.
Shouyu Chen Qinghua Wang Xiaoyong Wu Yanxiang Dong Guohua Liu
State Key Laboratory of GPMR, School of Resources, CUG, Wuhan 430074 Zhejiang Institute of Geological Survey Xiaoshan, Hangzhou 311203
国际会议
The 12th Conference of the International Association for Mathematical Geology(第12届国际数学地质大会)
北京
英文
181-184
2007-08-26（万方平台首次上网日期，不代表论文的发表时间）