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Assessing Watershed Vulnerability in Bernalillo County, New Mexico Using GIS-Based Fuzzy Inference

机译:使用基于GIS的模糊推理评估新墨西哥州贝纳里洛县的流域脆弱性

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Watershed vulnerability was assessed for Bernalillo County, New Mexico using a multi-criteria Fuzzy Inference System (FIS) implemented in a Geographic Information System (GIS). A vulnerability map was produced by means of a weighted overlay analysis that combined soil erosion and infiltration maps derived from the FIS methodology. Five vulnerability classes were stipulated in the model: not vulnerable (N), slightly vulnerable (SV), moderately vulnerable (MV), highly vulnerable (HV), and extremely vulnerable (EV). The results indicate that about 88% of the study area is susceptible to slight (SV) to moderate vulnerability (MV), with 11% of the area subject to experience high or extreme vulnerability (HV/EV). For land use and land cover (LULC) classifications, shrub land was identified to experience the most vulnerability. Weighted overlay output compared similarly with the results predicted by Revised Universal Soil Loss Equation (RUSLE) model with the exception of the not vulnerable (N) class. The eastern portion of the county was identified as most vulnerable due to its high slope and high precipitation. Herein, structural stormwater control measures (SCMs) may be viable for managing runoff and sediment transport offsite. This multi-criteria FIS/GIS approach can provide useful information to guide decision makers in selection of suitable structural and non-structural SCMs for the arid Southwest.
机译:使用在地理信息系统(GIS)中实施的多准则模糊推理系统(FIS)对新墨西哥州的贝纳里洛县进行了分水岭脆弱性评估。脆弱性图是通过加权叠加分析得出的,该分析结合了从FIS方法学得出的土壤侵蚀和渗透图。该模型规定了五个脆弱性类别:不脆弱(N),轻微脆弱(SV),中度脆弱(MV),高度脆弱(HV)和极度脆弱(EV)。结果表明,约88%的研究区域对轻度(SV)到中度脆弱性(MV)敏感,其中11%的区域遭受高或极度脆弱性(HV / EV)。对于土地利用和土地覆被(LULC)分类,灌木林被确定为最易受破坏。加权覆盖层输出与经修订的通用土壤流失方程(RUSLE)模型预测的结果类似,但不脆弱(N)类除外。该县东部地区由于其高坡度和高降水量而被确定为最脆弱的地区。在这里,结构性雨水控制措施(SCM)对于管理径流和泥沙外运可能是可行的。这种多准则的FIS / GIS方法可以提供有用的信息,以指导决策者为干旱的西南地区选择合适的结构和非结构SCM。

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