利用GIS工具和数据在干旱区进行水文模拟:文献综述

Hassan M. Khormi
{"title":"利用GIS工具和数据在干旱区进行水文模拟:文献综述","authors":"Hassan M. Khormi","doi":"10.21608/ejec.2019.96533","DOIUrl":null,"url":null,"abstract":"This study reviews a number of hydrological modelling studies in arid areas, including the use of spatial analysis in geographical information systems (GIS) and remote sensing (RS) packages. Specifically, it aims to review the most important GIS tools and spatial data used in modeling processes. We discuss the use of digital elevation model data, land-use/cover data, soil data, and rainfall data in terms of their impacts on applications of hydrological modelling. The review concentrates on commonly used tools, e.g., the soil and water assessment tool, the kinematic runoff and erosion model, the identification of unit hydrograph and component flows from rainfall, the evaporation and stream flow model, and the Hydrologic Engineering Center-Hydrologic Modelling System. The runoff curve number method is illustrated as an example of methods that are utilized in GIS-based hydrological models. Arid areas require more attention from researchers in order to overcome the obstacles to hydrological modelling identified in the study. For example, they should consider new methods for determining spatial rainfall and infiltration from transient flows that come from flash floods. Instead of using gauged data on arid areas, RS data can be used for simulating events. Observational data can also be improved by creating multiple measurement stations in affected areas.","PeriodicalId":211158,"journal":{"name":"The Egyptian Journal of Environmental Change","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using GIS Tools and Data for Hydrological Modelling in Arid Areas: A Literature Review\",\"authors\":\"Hassan M. Khormi\",\"doi\":\"10.21608/ejec.2019.96533\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study reviews a number of hydrological modelling studies in arid areas, including the use of spatial analysis in geographical information systems (GIS) and remote sensing (RS) packages. Specifically, it aims to review the most important GIS tools and spatial data used in modeling processes. We discuss the use of digital elevation model data, land-use/cover data, soil data, and rainfall data in terms of their impacts on applications of hydrological modelling. The review concentrates on commonly used tools, e.g., the soil and water assessment tool, the kinematic runoff and erosion model, the identification of unit hydrograph and component flows from rainfall, the evaporation and stream flow model, and the Hydrologic Engineering Center-Hydrologic Modelling System. The runoff curve number method is illustrated as an example of methods that are utilized in GIS-based hydrological models. Arid areas require more attention from researchers in order to overcome the obstacles to hydrological modelling identified in the study. For example, they should consider new methods for determining spatial rainfall and infiltration from transient flows that come from flash floods. Instead of using gauged data on arid areas, RS data can be used for simulating events. Observational data can also be improved by creating multiple measurement stations in affected areas.\",\"PeriodicalId\":211158,\"journal\":{\"name\":\"The Egyptian Journal of Environmental Change\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Egyptian Journal of Environmental Change\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21608/ejec.2019.96533\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Egyptian Journal of Environmental Change","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21608/ejec.2019.96533","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本研究回顾了干旱地区的一些水文模型研究,包括在地理信息系统(GIS)和遥感(RS)包中使用空间分析。具体来说,它的目的是审查最重要的GIS工具和空间数据用于建模过程。我们讨论了数字高程模型数据、土地利用/覆盖数据、土壤数据和降雨数据对水文建模应用的影响。综述了常用的工具,如水土评价工具、径流和侵蚀运动模型、单位水文线和降雨分量流的识别、蒸发和径流模型以及水文工程中心-水文模拟系统。径流曲线数法是用于基于gis的水文模型的一个例子。干旱地区需要更多的关注,以克服研究中确定的水文建模障碍。例如,他们应该考虑用新的方法来确定来自山洪暴发的瞬时水流的空间降雨和入渗。在干旱地区,遥感数据可用于模拟事件,而不是使用测量数据。还可以通过在受灾地区建立多个测量站来改进观测数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using GIS Tools and Data for Hydrological Modelling in Arid Areas: A Literature Review
This study reviews a number of hydrological modelling studies in arid areas, including the use of spatial analysis in geographical information systems (GIS) and remote sensing (RS) packages. Specifically, it aims to review the most important GIS tools and spatial data used in modeling processes. We discuss the use of digital elevation model data, land-use/cover data, soil data, and rainfall data in terms of their impacts on applications of hydrological modelling. The review concentrates on commonly used tools, e.g., the soil and water assessment tool, the kinematic runoff and erosion model, the identification of unit hydrograph and component flows from rainfall, the evaporation and stream flow model, and the Hydrologic Engineering Center-Hydrologic Modelling System. The runoff curve number method is illustrated as an example of methods that are utilized in GIS-based hydrological models. Arid areas require more attention from researchers in order to overcome the obstacles to hydrological modelling identified in the study. For example, they should consider new methods for determining spatial rainfall and infiltration from transient flows that come from flash floods. Instead of using gauged data on arid areas, RS data can be used for simulating events. Observational data can also be improved by creating multiple measurement stations in affected areas.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信