A framework for establishing a distributed, daily-time-step water resources model based on a pre-existing spatially lumped monthly representation: A case study of the Grootdraai Catchment, South Africa

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies Pub Date : 2025-06-02 DOI:10.1016/j.ejrh.2025.102493

Sofia Lazar , Andrew Robert Slaughter , Neil Griffin , Oghenekaro Nelson Odume

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引用次数: 0

Abstract

Study region

Southern Africa

Study focus

Proprietary monthly lumped models are pragmatic tools for water resources management and planning. However, their low spatial granularity and limited transparency pose significant obstacles to effective water quantity and quality management, particularly in developing countries. This study aimed to develop a distributed, daily-time-step model for a developing country catchment based on an existing black-box, lumped, monthly representation.

New hydrological insights for the region

An Open-Source, Python Water Resources (Pywr) model of the Grootdraai Catchment, South Africa was developed based on a pre-existing monthly Water Resources Yield Model (WRYM) representation. Nodes in the Pywr model were established at a finer spatial scale, and return flows were represented individually. Lumped, monthly natural inflows of the WRYM model were disaggregated to daily using an existing method based on daily rainfall. Abstractions and return flows in the WRYM were disaggregated evenly among the days in the month for input into the Pywr representation. Comparisons of monthly simulated WRYM reservoir storage and river flow with the daily simulations by Pywr exhibited a high level of agreement. The proposed framework can considerably reduce the time and resources required to develop spatially distributed models by leveraging existing resources and can guide the cost-effective and rapid transition from monthly-lumped to daily-distributed water resources models.

查看原文本刊更多论文

基于预先存在的空间集总月表示建立分布式、日时间步水资源模型的框架：以南非Grootdraai集水区为例

研究区域——研究焦点——专有的每月总集模型是水资源管理和规划的实用工具。然而，它们的低空间粒度和有限的透明度对有效的水量和水质管理构成重大障碍，特别是在发展中国家。本研究旨在基于现有的黑箱、集总、月度表示，为发展中国家集水区开发一个分布式的、每日时间步长模型。南非Grootdraai集水区的开源Python水资源（Pywr）模型是基于已有的月度水资源产量模型（WRYM）表示而开发的。Pywr模型中的节点建立在更精细的空间尺度上，回流单独表示。使用基于日降雨量的现有方法，将WRYM模型的月自然流入量分解为日流入量。WRYM中的抽象和返回流在每个月的每一天被均匀地分解，以便输入到Pywr表示中。每月模拟的水库库容和河流流量与Pywr的日模拟结果一致。所提出的框架可以通过利用现有资源大大减少开发空间分布模型所需的时间和资源，并可以指导从每月集中的水资源模型向每日分布的水资源模型的成本效益和快速过渡。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Hydrology-Regional Studies Earth and Planetary Sciences-Earth and Planetary Sciences (miscellaneous)

CiteScore

6.70

自引率

8.50%

发文量

284

审稿时长

60 days

期刊介绍： Journal of Hydrology: Regional Studies publishes original research papers enhancing the science of hydrology and aiming at region-specific problems, past and future conditions, analysis, review and solutions. The journal particularly welcomes research papers that deliver new insights into region-specific hydrological processes and responses to changing conditions, as well as contributions that incorporate interdisciplinarity and translational science.