Developing Water Quality Formulations for a Semi-Distributed Rainfall–Runoff Model

Author:

Tal-maon Merav1ORCID,Ostfeld Avi2ORCID

Affiliation:

1. Faculty of Architecture and Town Planning, Technion-Israel Institute of Technology, Haifa 3200003, Israel

2. Faculty of Civil and Environmental Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel

Abstract

Hydrological modeling can be challenging due to significant data requirements and computational complexities. Hydrological models must be sufficiently complex to describe physical processes yet simple enough to use. This paper describes the development of a simplified watershed-scale input–output model to simulate runoff quantity and quality during a storm event. This work builds upon an existing semi-distributed rainfall–runoff model by adding calculations for pollutant concentrations based on simplified mass balance equations. The model was tested against various watershed examples of increasing complexity. The results show the change in peak flow and pollutant concentration in different areas of the watershed, demonstrating the model’s ability to account for the dynamics of runoff movement through the watershed. This paper advances watershed management by addressing data scarcity through the development of a simplified hydrological model that effectively incorporates spatial variability within a watershed while requiring minimal data input.

Publisher

MDPI AG

Reference21 articles.

1. GWP (2000). Integrated Water Resources Management, Global Water Partnership. Global Water Partnership. Technical Advisory Committee (TAC) Background paper No.4.

2. Water resources management: What should be integrated?;Hering;Science,2012

3. Ostfeld, A. (2011). Ant colony optimization for water resources systems analysis–review and challenges. Ant Colony Optimization-Methods and Applications, IntechOpen Limited.

4. Zribi, M., Brocca, L., Tramblay, Y., and Molle, F. (2020). Modeling for Integrated Water Resources Management in the Mediterranean Region. Water Resources in the Mediterranean Region, Elsevier Inc.. Chapter 7.

5. Watershed optimization of best management practices using AnnAGNPS and a genetic algorithm;Srivastava;Water Resour. Res.,2002

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3