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首页> 外文期刊>Nordic hydrology >Integration of remote sensing evapotranspiration (ET) model and hydrologic model for mapping daily ET time series at river basin scale
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Integration of remote sensing evapotranspiration (ET) model and hydrologic model for mapping daily ET time series at river basin scale

机译：遥感蒸散模型与水文模型的集成，用于绘制流域日平均ET时间序列

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摘要

Hydrological models and remote sensing evapotranspiration (ET) models usually are used to estimate regional ET. This study aims to integrate the advantages of both the models to simulate the daily ET processes. A compromise between these two methodologies is represented by improving the optimization of the hydrological model on the basis of a new probability optimal ET series, which is produced by a data assimilation scheme combining sparse remote estimates and continuous modeling of regional ETs. The distributed time-variant gain hydrological model (DTVGM) and a two-layer remote sensing ET model are chosen. First, the DTVGM is optimized by maximizing the Nash-Sutcliffe efficiency of daily streamflow in the Shahe River basin, and simulates the daily hydrological processes of 1999-2007. For improving the accuracy of continuous ET simulation, the DTVGM is further optimized by dual objective functions composed of the assimilated ETs and observed outlet discharge. The results show that the accuracy of the DTVGM-based daily ETs is improved after the dual optimization, and the mean absolute percentage error between the DTVGM-based ETs and the measured ETs in the study area is reduced by 5.84%. The integrated method is proved better, and improves the hydrology modeling accuracy.
机译：水文模型和遥感蒸散模型通常用于估算区域性ET。这项研究旨在整合两个模型的优势来模拟日常ET过程。这两种方法之间的折衷是通过在新的概率最优ET系列的基础上改进水文模型的优化来表示的，该系列由结合稀疏远程估计和区域ET连续建模的数据同化方案产生。选择了分布式时变增益水文模型（DTVGM）和两层遥感ET模型。首先，通过最大化沙河流域日流量的纳什-萨特克利夫效率来优化DTVGM，并模拟了1999-2007年的每日水文过程。为了提高连续ET模拟的准确性，DTVGM通过由同化ET和观察到的出口放电组成的双重目标函数进一步优化。结果表明，双重优化后，基于DTVGM的日常ET的准确性提高了，研究区域中基于DTVGM的ET与测得的ET之间的平均绝对百分比误差降低了5.84％。证明该综合方法较好，提高了水文建模精度。

著录项

  • 来源
    《Nordic hydrology》 |2017年第2期|311-325|共15页
  • 作者

    Jian Yin; Chesheng Zhan; Huixiao Wang; Feiyu Wang;

  • 作者单位

    Surface Processes, Institute of Geographical Sciences and Natural Research, CAS, Beijing 100101, China , School of Resources and Environment. Anqing Normal University, Anqing 246011, China;

    Surface Processes, Institute of Geographical Sciences and Natural Research, CAS, Beijing 100101, China;

    College of Water Sciences, Beijing Normal University, Beijing 100875, China;

    Surface Processes, Institute of Geographical Sciences and Natural Research, CAS, Beijing 100101, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    evapotranspiration; hydrologic model; model; optimization; remote sensing; simulation;

    机译：蒸散水文模型模型;优化;遥感;模拟;

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