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首页> 外文期刊>Journal of the American Water Resources Association >STATISTICAL LOW FLOW ESTIMATION USING GIS ANALYSIS IN HUMID MONTANE REGIONS IN PUERTO RICO1
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STATISTICAL LOW FLOW ESTIMATION USING GIS ANALYSIS IN HUMID MONTANE REGIONS IN PUERTO RICO1

机译:波多黎各潮湿山地地区使用GIS分析进行统计低流量估算1

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ABSTRACT:Statistical analysis of watershed parameters derived using a Geographical Information system (GIS) was done to develop equations for estimating the 7d–10yr, 30d–10yr, and 7d–2yr low flow for watersheds in humid montane regions of Puerto Rico. Digital elevation models and land use, geology, soils, and stream network coverages were used to evaluate 21 geomorphic, 10 stream channel, 9 relief, 7 geology, 4 climate, and 2 soil parameters for each watershed. To assess which parameters should be used for further investigation, a correlation analysis was used to determine the independence and collinearity among these parameters and their relationship with low flows. Multiple regression analyses using the selected parameters were then performed to develop the statistical models of low flows. The final models were selected in the basis of the Mallow Cp statistic, the adjusted R2, the Press statistic, the degree of collinearity, and an analysis of the residuals. In the final models, drainage density, the ratio of length of tributaries to the length of the main channel, the percent of drainage area with northeast aspect, and the average weighted slope of the drainage were the most significant parameters. The final models had adjusted standard errors of 58.7 percent, 59.2 percent, and 48.6 percent for the 7d–10yr, 30d–10yr, and 7d–2yr low flows respectively. For comparison, the best model based on watershed parameters that can be easily measured without a GIS had an adjusted standard error of 8
机译:摘要:利用地理信息系统(GIS)对流域参数进行统计分析,以建立波多黎各湿润山地地区流域7d-10年、30d-10年和7d-2年低流量估算方程。采用数字高程模型和土地利用、地质、土壤和河流网络覆盖率,对每个流域的21个地貌、10个河道、9个地势、7个地质、4个气候和2个土壤参数进行评价。为了评估哪些参数应该用于进一步研究,使用相关性分析来确定这些参数之间的独立性和共线性以及它们与低流量的关系。然后使用所选参数进行多元回归分析,以建立低流量的统计模型。最终模型是根据锦葵 Cp 统计量、调整后的 R2、Press 统计量、共线性度和残差分析来选择的。在最终模型中,排水密度、支流长度与主河道长度之比、东北走向的排水面积百分比和排水平均加权坡度是最重要的参数。最终模型对7d-10年、30d-10年和7d-2年低流量的标准误差分别进行了58.7%、59.2%和48.6%的调整。相比之下,基于流域参数的最佳模型无需 GIS 即可轻松测量,调整后的标准误差为 8

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