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首页> 外文期刊>Journal of the American Water Resources Association >USING SWAT TO MODEL STREAMFLOW IN TWO RIVER BASINS WITH GROUND AND SATELLITE PRECIPITATION DATA
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USING SWAT TO MODEL STREAMFLOW IN TWO RIVER BASINS WITH GROUND AND SATELLITE PRECIPITATION DATA

机译：利用SWAT模型在两个具有地面和卫星降水数据的流域建模流

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Both ground rain gauge and remotely sensed precipitation (Next Generation Weather Radar -NEXRAD Stage III) data have been used to support spatially distributed hydrological modeling. This study is unique in that it utilizes and compares the performance of National Weather Service (NWS) rain gauge, NEXRAD Stage III, and Tropical Rainfall Measurement Mission (TRMM) 3B42 (Version 6) data for the hydrological modeling of the Middle Nueces River Watershed in South Texas and Middle Rio Grande Watershed in South Texas and northern Mexico. The hydrologic model chosen for this study is the Soil and Water Assessment Tool (SWAT), which is a comprehensive, physical-based tool that models watershed hydrology and water quality within stream reaches. Minor adjustments to selected model parameters were applied to make parameter values more realistic based on results from previous studies. In both watersheds, NEXRAD Stage III data yields results with low mass balance error between simulated and actual streamflow (±13%) and high monthly Nash-Sutcliffe efficiency coefficients (NS > 0.60) for both calibration (July 1, 2003 to December 31, 2006) and validation (2007) periods. In the Middle Rio Grande Watershed NEXRAD Stage III data also yield robust daily results (time averaged over a three-day period) with NS values of (0.60-0.88). TRMM 3B42 data generate simulations for the Middle Rio Grande Watershed of variable qualtiy (MBE = +13 to -16%; NS = 0.38-0.94; RMSE = 0.07-0.65), but greatly overestimates streamflow during the calibration period in the Middle Nueces Watershed. During the calibration period use of NWS rain gauge data does not generate acceptable simulations in both watersheds. Significantly, our study is the first to successfully demonstrate the utility of satellite-estimated precipitation (TRMM 3B42) in supporting hydrologic modeling with SWAT; thereby, potentially extending the realm (between 50°N and 50°S) where remotely sensed precipitation data can support hydrologic modeling outside of regions that have modern, ground-based radar networks (i.e., much of the third world).
机译：地面雨量计和遥感降水（下一代天气雷达-NEXRAD Stage III）数据均已用于支持空间分布的水文模型。这项研究的独特之处在于，它利用并比较了国家气象局（NWS）雨量计，NEXRAD第III阶段和热带雨量测量任务（TRMM）3B42（第6版）数据的性能，用于Nueces中游河流域的水文模拟在南德克萨斯和南德克萨斯北部的里约格兰德中部流域。本研究选择的水文模型是土壤和水评估工具（SWAT），这是一种综合的，基于物理的工具，可以对流域内的流域水文和水质进行建模。根据先前研究的结果，对所选模型参数进行了细微调整，以使参数值更加真实。在两个流域中，NEXRAD Stage III数据产生的结果都具有较低的模拟流量与实际流量之间的质量平衡误差（±13％），以及两个校准（2003年7月1日至12月31日）的每月Nash-Sutcliffe效率系数高（NS> 0.60）， 2006年）和验证期（2007年）。在里约格兰德河中部流域，NEXRAD第三阶段的数据也产生了稳定的每日结果（三天的平均时间），其NS值为（0.60-0.88）。 TRMM 3B42数据生成了可变质量（MBE = +13至-16％； NS = 0.38-0.94； RMSE = 0.07-0.65）的里约格兰德中部流域的模拟，但大大高估了中核区的标定期间的流量。在校准期间，使用NWS雨量计数据不会在两个流域中生成可接受的模拟。重要的是，我们的研究首次成功地证明了卫星估算降水（TRMM 3B42）在支持SWAT进行水文建模方面的作用；因此，可能会扩展范围（在50°N和50°S之间），在该范围内，遥感降水数据可以支持在具有现代地面雷达网络（即第三世界的大部分地区）的区域之外进行水文建模。

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