地球科学进展

地球科学进展 >

2022 , Vol. 37 >Issue 7: 680 - 691

DOI: https://doi.org/10.11867/j.issn.1001-8166.2022.025

综述与评述

SHUD数值方法分布式水文模型介绍

  • 舒乐乐 ,
  • 常燕 ,
  • 王建 ,
  • 陈昊 ,
  • 李照国 ,
  • 赵林 ,
  • 孟宪红
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  • 1.中国科学院西北生态环境资源研究院，甘肃 兰州 730000
    2.中国科学院寒旱区陆面过程与 气候变化重点实验室，甘肃 兰州 730000
    3.甘肃省遥感重点实验室，甘肃 兰州 730000
舒乐乐（1983-），男，陕西西安人，副研究员，主要从事数值方法水文模型、陆面水文耦合模型研究. E-mail：shulele@lzb.ac.cn
孟宪红（1980-），女，吉林通化人，研究员，主要从事陆面过程与区域气候变化研究. E-mail：mxh@lzb.ac.cn

收稿日期: 2022-01-12

  修回日期: 2022-06-16

  网络出版日期: 2022-07-21

基金资助

中国科学院“百人计划”“数值方法水文模型”(E0290304);国家自然科学基金项目“气候变化背景下三江源区域水循环演变过程及机理研究”(41930759);青海省防灾减灾重点实验室开放基金重点项目“布哈河流域径流变化及水循环机理研究”(QFZ-2021-Z02)

收起

A Brief Review of Numerical Distributed Hydrological Model SHUD

  • Lele SHU ,
  • Yan CHANG ,
  • Jian WANG ,
  • Hao CHEN ,
  • Zhaoguo LI ,
  • Lin ZHAO ,
  • Xianhong MENG
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  • 1.Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
    2.Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Chinese Academy of Sciences, Lanzhou 730000, China
    3.Key Laboratory of Remote Sensing of Gansu Province, Lanzhou 730000, China
SHU Lele (1983-), male, Xi’an City, Shaanxi Province, Associate professor. Research areas include numerical hydrological model and coupled landsurface-hydrology modeling. E-mail: shulele@lzb.ac.cn
MENG Xianhong (1980-), female, Tonghua City, Jilin Province, Professor. Research areas include landsurface processing and regional climate change. E-mail: mxh@lzb.ac.cn

Received date: 2022-01-12

  Revised date: 2022-06-16

  Online published: 2022-07-21

Supported by

the Chinese Academy 100-Talent Program “Numerical hydrological model”(E0290304);The National Natural Science Foundation of China “The evolution of hydrological cycle and its mechanism under the climate change on the Sanjiangyuan region in China”(41930759);The Open Fund of Qinghai Key Laboratory of Disaster Prevention “Streamflow change and hydrological mechanism in Buha River”(QFZ-2021-Z02)

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摘要

水文模型是高效且经济的科学实验工具，不仅能结合观测数据验证科学理论、指导观测网络布设，而且对社会水资源管理、灾害防治以及经济决策等有不可或缺的重要价值。数值方法水文模型依据达西定律、理查兹方程和圣维南方程等水文物理公式，充分表现水文参数空间异质性，精细化表达水文物理过程，是水文模型发展的重要方向之一。SHUD模型利用有限体积法求解地表—地下耦合的流域水文过程，采用不规则三角网构成流域模拟空间，可实现空间上米—公里、时间上秒—小时的超高分辨率的数值模拟。由SHUD模型、rSHUD工具和全球基础地理数据组成的AutoSHUD水文模拟系统，构建了数据制备—模型模拟—结果分析的标准范式，其有效性和适用性已得到验证。当前我国水文领域对于数值方法分布式水文模型的探讨、开发和应用较为薄弱，亟需更多探索；不仅需要支持新模型的研发，同时应丰富已有模型在全球不同区域的验证、推广和改进工作。

关键词： 水文模型; 分布式; 数值方法; SHUD模型

本文引用格式

舒乐乐 , 常燕 , 王建 , 陈昊 , 李照国 , 赵林 , 孟宪红 . SHUD数值方法分布式水文模型介绍[J]. 地球科学进展, 2022 , 37(7) : 680 -691 . DOI: 10.11867/j.issn.1001-8166.2022.025

Abstract

Hydrological models are efficient and economical tools for conducting scientific studies. They are not only useful in validating scientific theories and guiding the deployment of observation networks, but they also play an indispensable role in facilitating decision-making within socioeconomic spheres such disaster prevention and mitigation. Distributed hydrological modelling via numerical methods entail the application of hydrological equations to express the spatial heterogeneity of hydrological parameters at a fine-scale. This fine-scale analysis allows for a detailed characterization of hydrological processes, which is a critical step within the context of developing robust hydrological models. The SHUD model adopts the finite volume method to resolve integrated surface-subsurface hydrological processes. The model uses an irregular triangular network, which can rapidly realize an ultra-high-resolution numerical simulation (i.e., from meters to kilometers). The AutoSHUD automated hydrological simulation system, which consists of the SHUD model, rSHUD tool, and global essential terrestrial data, can facilitate pre- and post-processing of the model and has been applied to several research projects; hence, the validity and applicability of the model have been verified. At present, the exploration, development, and application of distributed hydrological models by numerical methods are limited in our hydrological community, and there is an urgent need for more original research in this field. The global development of new models as well as the validation, promotion, and improvement of existing models is a worthwhile goal.

Key words： Hydrological model; Distributed model; Numerical method; SHUD model

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