DocumentCode :
1711053
Title :
Research of the environmental impact assessment methods caused by foundation pit dewatering
Author :
Yu, KaiNing ; Lv, BingXu ; Zhao, Min ; Li, ZhiGuang
Author_Institution :
Dept. of Sci. & Technol., Shi Jiazhuang Univ. Of Econ., Shi Jiazhuang, China
Volume :
4
fYear :
2011
Firstpage :
2777
Lastpage :
2780
Abstract :
Foundation The accurate prediction of environmental changes could be helpful to establish the solutions and minimize the damage level of environment. At present, the researches about prediction of environment changes caused by foundation pit dewatering are insufficient, and most of them are qualitative assessment. By choosing scientific and reasonable system of environmental impact assessment indices, this paper used three methods to give a quantitative assessment on environment changes caused by foundation pit dewatering, such as fuzzy mathematical method, the BP neural network method, Support vector machine method. Also, the three evaluation results would be compared. Results show that: Foundation pit dewatering has effects on different aspects of the surrounding environment. There are eight indexes in the environmental impact assessment indices. Fuzzy Mathematical Evaluation method is more effective when the index weight is reasonable. Evaluation method based on support vector machine can deal with the prediction and evaluation of the small sample; however, it requires a more accurate data. BP neural network is suitable for large sample.
Keywords :
backpropagation; environmental science computing; foundations; fuzzy set theory; neural nets; support vector machines; BP neural network; environment changes; environmental impact assessment indices; foundation pit dewatering; fuzzy mathematical evaluation; fuzzy mathematical method; quantitative assessment; support vector machine; Artificial neural networks; Indexes; Mathematical model; Support vector machine classification; Training; Environmental impact evaluation method; Foundation pit dewatering; Fuzzy mathematics; Support vector machine; The BP neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Water Resource and Environmental Protection (ISWREP), 2011 International Symposium on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-339-1
Type :
conf
DOI :
10.1109/ISWREP.2011.5893455
Filename :
5893455
Link To Document :
بازگشت