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首页> 外文期刊>Water >Calibration of Spatially Distributed Hydrological Processes and Model Parameters in SWAT Using Remote Sensing Data and an Auto-Calibration Procedure: A Case Study in a Vietnamese River Basin
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Calibration of Spatially Distributed Hydrological Processes and Model Parameters in SWAT Using Remote Sensing Data and an Auto-Calibration Procedure: A Case Study in a Vietnamese River Basin

机译：利用遥感数据和自动校准程序对SWAT中的空间分布水文过程和模型参数进行标定：以越南河流域为例

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In this paper, evapotranspiration (ET) and leaf area index (LAI) were used to calibrate the SWAT model, whereas remotely sensed precipitation and other climatic parameters were used as forcing data for the 6300 km 2 Day Basin, a tributary of the Red River in Vietnam. The efficacy of the Sequential Uncertainty Fitting (SUFI-2) parameter sensitivity and optimization model was tested with area specific remote sensing input parameters for every Hydrological Response Units (HRU), rather than with measurements of river flow representing a large set of HRUs, i.e., a bulk calibration. Simulated monthly ET correlations with remote sensing estimates showed an R 2 = 0.71, Nash–Sutcliffe Efficiency NSE = 0.65, and Kling Gupta Efficiency KGE = 0.80 while monthly LAI showed correlations of R 2 = 0.59, NSE = 0.57 and KGE = 0.83 over a five-year validation period. Accumulated modelled ET over the 5-year calibration period amounted to 5713 mm compared to 6015 mm of remotely sensed ET, yielding a difference of 302 mm (5.3%). The monthly flow at two flow measurement stations were adequately estimated ( R 2 = 0.78 and 0.55, NSE = 0.71 and 0.63, KGE = 0.59 and 0.75 for Phu Ly and Ninh Binh, respectively). This outcome demonstrates the capability of SWAT model to obtain spatial and accurate simulation of eco-hydrological processes, also when rivers are ungauged and the water withdrawal system is complex.
机译：本文利用蒸散（ET）和叶面积指数（LAI）校准了SWAT模型，而遥感降水和其他气候参数被用作了6300 km 2 Day Basin（红河支流）的强迫数据。在越南。对于每个水文响应单位（HRU），使用区域特定的遥感输入参数测试了顺序不确定拟合（SUFI-2）参数敏感性和优化模型的有效性，而不是使用代表大量HRU的河流流量测量进行了测试，即，批量校准。模拟的每月ET与遥感估计值的相关性显示R 2 = 0.71，纳什-苏特克利夫效率NSE = 0.65，克林古普塔效率KGE = 0.80，而每月LAI显示R 2 = 0.59，NSE = 0.57和KGE = 0.83五年验证期。在5年的校准期内，累积的模拟ET总计为5713毫米，而遥感ET为6015毫米，相差302毫米（5.3％）。对两个流量测量站的月流量进行了充分估计（对于Phu Ly和Ninh Binh，R 2分别为0.78和0.55，NSE = 0.71和0.63，KGE = 0.59和0.75）。这一结果证明了SWAT模型在获得生态水文过程的空间和精确模拟方面的能力，即使在河流未加水且取水系统复杂的情况下也是如此。

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