Full-Text Search:
Home|About CNKI|User Service|中文
Add to Favorite Get Latest Update

Multi-index evaluation model for water point selection based on remote sensing

WANG Daqing;DENG Zhengdong;ZHENG Pu;XU Guofu;College of Defense Engineering,PLA Univ.of Sci.& Tech.;  
To improve the precision of assessment in water point selection based on remote sensing,and perfect the evaluation content,water source condition and protection condition were studied and seven factors were selected to evaluate the water point selection,i.e.water distribution,fault density,slope,flow accumulation,relief,lithology and vegetation fraction.The seven factors are extracted and interpreted from ALOS,TM and DEM data.Fuzzy membership functions were established for normalizing each factor,and factor weights were calculated by analytic hierarchy process(AHP).The water point selection assessment index was constructed using weighted synthesis algorithm and tested by field investigation data of water condition.The results show that the R2 between index value and water condition is 0.82.According to the distribution characteristic of the index,water point selection prediction of the study area is graded and the results are consistent with the theoretical analysis results.In a word,the index can well reflect the reliability of water point selection,its evaluation is accurate and reliable,and the method significantly improves the efficiency of selection.
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©CNKI All Rights Reserved