地理学报 ›› 2023, Vol. 78 ›› Issue (7): 1691-1702.doi: 10.11821/dlxb202307010

• 水文地理 • 上一篇    下一篇

遥感水文模型研究综述

杨胜天1(), 鱼京善1, 娄和震1, 孙文超1, 赵长森1, 王雪蕾2, 宋文龙3, 蔡明勇2, 代韵萌1   

  1. 1.北京师范大学水科学研究院,北京 100875
    2.生态环境部卫星环境应用中心,北京 100094
    3.中国水利水电科学研究院,北京 100048
  • 收稿日期:2023-02-27 修回日期:2023-07-14 出版日期:2023-07-25 发布日期:2023-08-01
  • 作者简介:杨胜天(1965-), 男, 贵州贵阳人, 教授, 博士生导师, 主要从事遥感水文、生态水文研究。E-mail: yangshengtian@bnu.edu.cn
  • 基金资助:
    国家自然科学基金项目(U1812401);第三次新疆综合科学考察项目(SQ2021xjkk02400);中国工程科技发展战略湖北研究院武汉分院咨询研究项目(HB2022B25)

Review of the remote sensing hydrological model

YANG Shengtian1(), YU Jingshan1, LOU Hezhen1, SUN Wenchao1, ZHAO Changsen1, WANG Xuelei2, SONG Wenlong3, CAI Mingyong2, DAI Yunmeng1   

  1. 1. College of the Water Sciences, Beijing Normal University, Beijing 100875, China
    2. Ministry of Ecology and Environment Center for Satellite Application on Ecology and Environment, Beijing 100096, China
    3. China Institute of Hydropower and Water Research, Beijing 100048, China
  • Received:2023-02-27 Revised:2023-07-14 Published:2023-07-25 Online:2023-08-01
  • Supported by:
    National Natural Science Foundation of China(U1812401);The Third Xinjiang Scientific Expedition(SQ2021xjkk02400);Consulting Research Project of Wuhan Branch of Hubei Research Institute of China Engineering Science and Technology Development Strategy(HB2022B25)

摘要:

遥感水文模型是水文学与遥感学的交叉领域,既包括水循环要素遥感反演模型,也包括以水文过程模拟分析为对象的遥感水文模型。本文汇总分析20世纪70年代以来遥感在水文方面应用成果,综述遥感水文模型研究历史、现状及发展趋势。研究表明,20世纪70年代以来遥感水文模型就一直是遥感水文的热点;中国在遥感水文研究兴起之时就与国际上同步,在遥感水文的概念认知、遥感与水文相结合的科学认识,以及遥感水文模型的研发应用等诸多方面做出了探索性的成果。随着信息技术发展,结合多重信息采集手段,围绕遥感径流监测、多传感器智能物联网、缺资料区水文分析和流域水量—水质—水生态精细化模拟等重大实际问题是遥感水文模型发展的趋势。

关键词: 遥感水文, 遥感水文模型, 遥感学, 水文学

Abstract:

Remote sensing in hydrology is a crossing field of hydrology and remote sensing. It not only includes remote sensing retrieval models for water cycle factors, but also covers remote sensing hydrological models which serve for calculating the process of hydrology. This review focuses on the past, present and future development of remote sensing hydrological model by using the meta-analysis method and collecting related research in the past 40 years. The results show that remote sensing hydrological model has played a key role in remote sensing hydrology since the 1970s in the world. In China, the researchers of remote sensing in hydrology keep pace with global scientists, and prominent achievements include the concept generation about the remote sensing hydrology, promotion of the combination between remote sensing and hydrology and development of remote sensing hydrological models. In the future, by the help of enhanced information technology, the remote sensing hydrological models will pay more attention to the runoff monitoring by using remote sensing, the intelligent web of hydrological sensors, hydrological analysis in the data scarce watersheds, and the precise simulation of the water flow, water quality as well as the water ecology.

Key words: remote sensing hydrology, remote sensing hydrological model, remote sensing science, hydrology