Kompetenzzentrum Wasser Berlin (KWB), Cicerostr. 24, 10709 Berlin, Germany.
Water Sci Technol. 2011;64(4):892-8. doi: 10.2166/wst.2011.672.
The present study aimed at developing a universal method for the localization of critical source areas (CSAs) of diffuse nitrate (NO3-) pollution in rural catchments with low data availability. Based on existing methods, land use, soil, slope, riparian buffer strips and distance to surface waters were identified as the most relevant indicator parameters for diffuse agricultural NO3- pollution. The five parameters were averaged in a GIS-overlay to localize areas with low, medium and high risk of NO3- pollution. A first application of the GIS approach to the Ic catchment in France, showed that identified CSAs were in good agreement with results from river monitoring and numerical modelling. Additionally, the GIS approach showed low sensitivity to single parameters, which makes it robust to varying data availability. As a result, the tested GIS-approach provides a promising, easy-to-use CSA identification concept, applicable for a wide range of rural catchments.
本研究旨在为低数据可用性的农村流域中弥散型硝酸盐(NO3-)污染的关键源区(CSAs)定位开发一种通用方法。基于现有方法,确定土地利用、土壤、坡度、河岸带缓冲区和与地表水的距离是弥散型农业 NO3-污染的最相关指标参数。将这五个参数在 GIS 覆盖层中进行平均,以定位 NO3-污染低、中、高风险区域。该 GIS 方法首次应用于法国的 Ic 流域,结果表明,确定的 CSAs 与河流监测和数值模拟的结果非常吻合。此外,GIS 方法对单个参数的敏感性较低,这使得它对不同的数据可用性具有稳健性。因此,测试的 GIS 方法为广泛的农村流域提供了一种有前景、易于使用的 CSA 识别概念。