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The Application of Remote Sensing Precipitation Products for Runoff Modelling and Flood Inundation Area Estimation in Typical Monsoon Basins of Indochina Peninsula

机译:遥感降水产物在靛蓝树半岛典型季风盆地中的径流建模和洪水淹没区估计的应用

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Tropical monsoon climate in IndoChina Peninsula features dry and rainy season. Microwave remote sensing offers emerging capabilities for hydrological simulation. This paper aims to clarify whether the contributions of remote sensing precipitation on runoff simulation will change due to terrains and model algorithms. We simulated runoff in mountainous area-Yuan River Basin based on remote sensing early version precipitation products by using Soil & Water Assessment Tool (SWAT) model. We also simulated runoff in flat terrain area-Mun-chi River Basin based on remote sensing final version precipitation products by Variable Infiltration Capacity Model (VIC) model. We compared the runoff results against gauge-based CMORPH-AWS and World Meteorological Organization (WMO) interpolated precipitation, and also estimated flood inundation areas in Mun-chi River from 2005 to 2014 based on runoff simulations. The results show that (1) gauge-based precipitation products CMORPH-AWS and WMO precipitation have largest NSE and smallest RMSE for runoff simulation in these two basins. The runoff simulation by VIC model and SWAT model based on TRMM Multi-satellite Preciptiation Analysis (TMPA) remote sensing product have higher correlation with the observations; (2) Runoff simulations based on TMPA can be used for flood inundation area estimation in larger river basin rather than smaller basin or subbasin. Our study reveals that high-quality precipitation products significantly improved runoff simulation accuracy in these two basins. Remote sensing precipitation product TMPA has potential on runoff simulation and flood assessment in remote or observation lacking area in IndoChina Peninsula.
机译:印度吲哚诺岛的热带季风气候都有干燥和雨季。微波遥感提供了水文模拟的新兴能力。本文旨在阐明遥感降水对径流模拟的贡献是否会因地形和模型算法而变化。基于遥感早期版本沉淀产品的山区源河流域模仿径流,采用水土水分评估工具(SWAT)模型。我们还通过可变渗透能力模型(VIC)模型,基于遥感最终版本的降水产品模拟平坦地形区域 - 智河流域。我们将径流结果与基于衡量的Cmorph-AWS和世界气象组织(WMO)内插降水进行比较,并根据径流模拟,从2005年到2014年估计了Mun-Chi River的洪水淹没区域。结果表明,(1)基于仪表的降水量CMORPH-AWS和WMO降水在这两个盆地中具有最大的NSE和最小的RMSE用于径流模拟。基于TRMM多卫星预关分析(TMPA)遥感产品的VIC型号和SWAT模型的径流模拟与观察结果较高; (2)基于TMPA的径流模拟可用于较大的河流盆地的洪水淹没区估计,而不是较小的盆地或蛛巴。我们的研究表明,高质量的降水产品在这两个盆地中显着提高了径流模拟精度。遥感降水产品TMPA在遥远或观察区域缺乏吲哚诺岛半岛的区域具有潜在的径流模拟和洪水评估。

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