Development of a Water Runoff Model for Pakistan: A tool for Identifying and Assessing Micro-hydro Sites

T. Mosier, K. Sharp, D. Hill
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Abstract

A hydrologic model for basins draining through Pakistan is developed with the specific intent of identifying microhydro sites and assessing their quality. The model outputs runoff which is used to estimate flow rate through each geographic cell. These flow rates are scaled by topographic slope using a relationship for potential power to approximate micro-hydro productivity on a cell-by-cell basis. A major hindrance in building and applying models to the region is the lack of dense and consistent meteorological data. This is partially ameliorated by downscaling the data, which improves both its resolution and ability to represent the underlying processes. This study compares the Delta and Bias CorrectionSpatial Disaggregation (BCSD) downscaling methods, ultimately using the meteorological time-series data produced through the Delta method as inputs to the hydrological model. Results are given in normalized form as a demonstration of the model's utility for assessing potential micro-hydro site quality. Future work will include analysis of past and future trends in runoff, where future meteorological scenarios will be based upon the emissions paths developed by the Intergovernmental Panel on Climate Change.
巴基斯坦水径流模型的开发:确定和评估微型水电站站点的工具
为流经巴基斯坦的流域开发了一个水文模型,其具体目的是确定微水电站场址并评估其质量。该模型输出径流,用于估计通过每个地理单元的流量。这些流量按地形坡度进行缩放,使用潜在功率的关系来近似每个细胞的微水力生产力。在该地区建立和应用模式的一个主要障碍是缺乏密集和一致的气象数据。这可以通过缩小数据来部分改善,这可以提高其分辨率和表示底层过程的能力。本研究比较了Delta和Bias CorrectionSpatial Disaggregation (BCSD)降尺度方法,最终使用Delta方法产生的气象时间序列数据作为水文模型的输入。结果以归一化形式给出,以证明该模型在评估潜在微型水电站场地质量方面的实用性。未来的工作将包括分析径流过去和未来的趋势,未来的气象情景将以政府间气候变化专门委员会制定的排放路径为基础。
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