利用全球数据库评估数据稀缺流域水资源核算的工具包

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Environmental Modelling & Software Pub Date : 2024-07-10 DOI:10.1016/j.envsoft.2024.106140
Sobhan Rostami , Majid Delavar , Shokri Kuchak Vahid , Majid Mirzaei
{"title":"利用全球数据库评估数据稀缺流域水资源核算的工具包","authors":"Sobhan Rostami ,&nbsp;Majid Delavar ,&nbsp;Shokri Kuchak Vahid ,&nbsp;Majid Mirzaei","doi":"10.1016/j.envsoft.2024.106140","DOIUrl":null,"url":null,"abstract":"<div><p>This study develops a toolkit for implementing the WA + framework, integrating observational data and global databases to enhance data collection for water accounting assessment. By addressing data gaps, updating processes, and coverage issues through automated systems, it compiles key variables like precipitation, evapotranspiration, and groundwater fluctuations, leveraging GLDAS (Global Land Data Assimilation System), GLEAM (Global Land Evaporation Amsterdam Model), and GRACE (Gravity Recovery and Climate Experiment) datasets. The toolkit, named NWBWAS (National Web Based Water Accounting System), automates water accounting components' calculation, providing comprehensive reports and indicators. Using the Tashk-Bakhtegan watershed as a case study, NWBWAS demonstrated significant advancements, offering a robust, efficient solution for rapid, cost-effective initial water accounting assessments, marking a substantial improvement over previous approaches.</p></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"180 ","pages":"Article 106140"},"PeriodicalIF":4.8000,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Toolkit for assessing water accounting in data-scarce river basins using global databases\",\"authors\":\"Sobhan Rostami ,&nbsp;Majid Delavar ,&nbsp;Shokri Kuchak Vahid ,&nbsp;Majid Mirzaei\",\"doi\":\"10.1016/j.envsoft.2024.106140\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This study develops a toolkit for implementing the WA + framework, integrating observational data and global databases to enhance data collection for water accounting assessment. By addressing data gaps, updating processes, and coverage issues through automated systems, it compiles key variables like precipitation, evapotranspiration, and groundwater fluctuations, leveraging GLDAS (Global Land Data Assimilation System), GLEAM (Global Land Evaporation Amsterdam Model), and GRACE (Gravity Recovery and Climate Experiment) datasets. The toolkit, named NWBWAS (National Web Based Water Accounting System), automates water accounting components' calculation, providing comprehensive reports and indicators. Using the Tashk-Bakhtegan watershed as a case study, NWBWAS demonstrated significant advancements, offering a robust, efficient solution for rapid, cost-effective initial water accounting assessments, marking a substantial improvement over previous approaches.</p></div>\",\"PeriodicalId\":310,\"journal\":{\"name\":\"Environmental Modelling & Software\",\"volume\":\"180 \",\"pages\":\"Article 106140\"},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2024-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Modelling & Software\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1364815224002019\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Modelling & Software","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1364815224002019","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0

摘要

这项研究开发了一个实施 "WA+"框架的工具包,整合了观测数据和全球数据库,以加强水资源核算评估的数据收集工作。通过自动化系统解决数据缺口、更新过程和覆盖范围等问题,该工具包利用全球陆地数据同化系统(GLDAS)、全球陆地蒸发阿姆斯特丹模型(GLEAM)和重力恢复与气候实验(GRACE)数据集,汇编了降水量、蒸散量和地下水波动等关键变量。该工具包被命名为 NWBWAS(基于网络的国家水资源核算系统),可自动计算水资源核算内容,并提供综合报告和指标。以 Tashk-Bakhtegan 流域为案例研究,NWBWAS 取得了重大进展,为快速、具有成本效益的初步水资源核算评估提供了一个强大、高效的解决方案,标志着与以前的方法相比有了实质性的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Toolkit for assessing water accounting in data-scarce river basins using global databases

This study develops a toolkit for implementing the WA + framework, integrating observational data and global databases to enhance data collection for water accounting assessment. By addressing data gaps, updating processes, and coverage issues through automated systems, it compiles key variables like precipitation, evapotranspiration, and groundwater fluctuations, leveraging GLDAS (Global Land Data Assimilation System), GLEAM (Global Land Evaporation Amsterdam Model), and GRACE (Gravity Recovery and Climate Experiment) datasets. The toolkit, named NWBWAS (National Web Based Water Accounting System), automates water accounting components' calculation, providing comprehensive reports and indicators. Using the Tashk-Bakhtegan watershed as a case study, NWBWAS demonstrated significant advancements, offering a robust, efficient solution for rapid, cost-effective initial water accounting assessments, marking a substantial improvement over previous approaches.

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
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
期刊最新文献
QGIS Shoreline Change Analysis Tool (QSCAT): A fast, open-source shoreline change analysis plugin for QGIS Probability analysis of shallow landslides in varying vegetation zones with random soil grain-size distribution Variable sensitivity analysis in groundwater level projections under climate change adopting a hybrid machine learning algorithm Taxonomy of purposes, methods, and recommendations for vulnerability analysis Canopy height Mapper: A google earth engine application for predicting global canopy heights combining GEDI with multi-source data
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1