A Review of Event-Based Conceptual Rainfall-Runoff Models: A Case for Australia

Author:

Ali Sabrina1,Rahman Ataur1,Shaik Rehana2ORCID

Affiliation:

1. School of Engineering, Design and Built Environment, Western Sydney University, Penrith, NSW 2751, Australia

2. Spatial Informatics Research Group, International Institute of Information Technology, Hyderabad 500032, India

Abstract

Event-based models focus on modelling of peak runoff from rainfall data. Conceptual models indicate simplified models that provide reasonably accurate answers despite their crude nature. Rainfall-runoff models are used to transform a rainfall event into a runoff event. This paper focuses on reviewing computational simulation of rainfall-runoff processes over a catchment. Lumped conceptual, event-based rainfall-runoff models have remained the dominant practice for design flood estimation in Australia for many years due to their simplicity, flexibility, and accuracy under certain conditions. Attempts to establish regionalization methods for prediction of design flood hydrographs in ungauged catchments have seen little success. Therefore, as well as reviewing key rainfall-runoff model components for design flood estimation with a special focus on event-based conceptual models, this paper covers the aspects of regionalization to promote their applications to ungauged catchments.

Funder

Ministry of Human Resource Development, Government of India

Publisher

MDPI AG

Reference125 articles.

1. Dalrymple, T. (2024, April 15). Flood-Frequency Analyses, Manual of Hydrology: Part 3, Available online: https://pubs.usgs.gov/publication/wsp1543A.

2. US Department of Agriculture, Soil Conservation Service (USDA-SCS) (2024, April 15). National Engineering Handbook: Hydrology, Section 4, Available online: https://books.google.com.hk/books?id=sjOEf-5zjXgC&printsec=frontcover&hl=zh-CN&source=gbs_ge_summary_r&cad=0#v=onepage&q&f=false.

3. US Army Corps of Engineers, Hydrologic Engineering Centre (USACE-HEC) (1981). HEC-1 flood hydrograph package, Program User Manual.

4. Technical review of large-scale hydrological models for implementation in operational flood forecasting schemes on continental level;Kauffeldt;Environ. Model. Softw.,2016

5. Vaze, J., Jordan, P., Beecham, R., Frost, A., and Summerell, G. (2011). Guidelines for Rainfall-Runoff Modelling: Towards Best Practice Model Application, eWater Cooprative Research Centre.

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