给水站选址的遥感多因子评价模型

为完善给水站遥感选址的评价内容,提高评价精度,从给水站选址的水源条件和防护条件进行研究,确定以水域分布、断裂密度、地形坡度、汇流累积量、地貌类型、地层岩性及植被覆盖度作为给水站选址的7个评价指标。利用ALOS、TM和DEM数据对上述指标进行提取和解译,并建立模糊隶属度函数对各指标进行规范化评价,采用层次分析方法分别计算各指标权重,采用加权合成算法建立给水站选址评估指数。研究区实地调查水源状况表明,选址评价指数与水源条件的决定系数R2为0.82,相关关系明显。根据选址指数对研究区进行评估分级,结果与理论分析一致。

Multi-index evaluation model for water point selection basedon remote sensing

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.