Improved river transmission loss modelling for environmental flow releases during droughts

IF 5.2 2区环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Environmental Modelling & Software Pub Date : 2026-03-01 Epub Date: 2026-01-20 DOI:10.1016/j.envsoft.2026.106880

Shaun S.H. Kim , Russell S. Crosbie , Warrick Dawes , Jai Vaze , Bill Wang , Cherry Mateo , Rebekah May , Sudeep Nair , Jahangir Alam

{"title":"Improved river transmission loss modelling for environmental flow releases during droughts","authors":"Shaun S.H. Kim , Russell S. Crosbie , Warrick Dawes , Jai Vaze , Bill Wang , Cherry Mateo , Rebekah May , Sudeep Nair , Jahangir Alam","doi":"10.1016/j.envsoft.2026.106880","DOIUrl":null,"url":null,"abstract":"<div><div>Basin-scale water resources models lack key physical factors such as antecedent conditions, that strongly influence transmission losses under dry conditions. This study presents the development and evaluation of two river transmission loss models for integration into river systems models: dynamic maximum alluvium as river storage (DMAARS) and DMAARS coupled with river dead storage (DMAARSDS). The models were applied to environmental flow events during the 2018/2019 drought in the northern Murray-Darling Basin and compared with a benchmark piecewise linear loss model. They provided significantly improved performance in 8 out of 12 fit metrics and more realistic estimates of environmental flow metrics. Scenario testing revealed that model choice significantly influences predictions, especially of baseline conditions and ecological benefits, e.g., peak water height, flow extent. Analyses also showed strong potential for use in long-term water resource planning. To enable adoption, the new models have been integrated into eWater Source as a community plugin.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"198 ","pages":"Article 106880"},"PeriodicalIF":5.2000,"publicationDate":"2026-03-01","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/S1364815226000277","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/20 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}

引用次数: 0

Abstract

Basin-scale water resources models lack key physical factors such as antecedent conditions, that strongly influence transmission losses under dry conditions. This study presents the development and evaluation of two river transmission loss models for integration into river systems models: dynamic maximum alluvium as river storage (DMAARS) and DMAARS coupled with river dead storage (DMAARSDS). The models were applied to environmental flow events during the 2018/2019 drought in the northern Murray-Darling Basin and compared with a benchmark piecewise linear loss model. They provided significantly improved performance in 8 out of 12 fit metrics and more realistic estimates of environmental flow metrics. Scenario testing revealed that model choice significantly influences predictions, especially of baseline conditions and ecological benefits, e.g., peak water height, flow extent. Analyses also showed strong potential for use in long-term water resource planning. To enable adoption, the new models have been integrated into eWater Source as a community plugin.

查看原文本刊更多论文

改进了干旱期间环境流量释放的河流传输损失模型

流域尺度的水资源模型缺乏关键的物理因素，如先决条件，这些因素在干旱条件下强烈影响传输损失。本文提出了两种河流传输损失模型：动态最大冲积作为河流蓄积（DMAARS）和DMAARS耦合河流死蓄积（DMAARSDS），并对其进行了开发和评价。这些模型应用于墨累-达令盆地北部2018/2019年干旱期间的环境流量事件，并与基准分段线性损失模型进行了比较。它们在12个拟合指标中的8个方面提供了显着改善的性能，并对环境流量指标进行了更现实的估计。情景测试表明，模型选择显著影响预测，特别是基线条件和生态效益，如峰值水位、流量。分析还显示了在长期水资源规划中使用的巨大潜力。为了便于采用，新模型已作为社区插件集成到eWater Source中。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

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.