No Cover Image

Journal article 60 views 13 downloads

Development of a New Quantile-Based Method for the Assessment of Regional Water Resources in a Highly-Regulated River Basin / Salam A. Abbas; Yunqing Xuan

Water Resources Management, Volume: 33, Issue: 9, Pages: 3187 - 3210

Swansea University Author: Xuan, Yunqing

Abstract

We developed a new method for assessing water resources dynamics of highly managed river basins using a detailed study in the UK. Modelling water resources of highly managed river basin has long been an issue as man-made controls and regulations alter the way how river catchment responds to the exte...

Full description

Published in: Water Resources Management
ISSN: 0920-4741 1573-1650
Published: 2019
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa50789
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract: We developed a new method for assessing water resources dynamics of highly managed river basins using a detailed study in the UK. Modelling water resources of highly managed river basin has long been an issue as man-made controls and regulations alter the way how river catchment responds to the external forcing factors hence rendering many existing models useless. In this paper, we show the way of how those catchments can be fairly restored to their 'natural' states by effectively separating the managing practices from the underlying hydrological processes. With the assistance of this method, we further employ a quantile-based analysis to provide detailed distributions of water resources in both time and space. The method will be of great use for both researchers and practitioners in terms of managing and planning water resources under a changing climate.
Item Description: 2019 - This paper focuses really on the methodological development of modelling and managing catchment water resources. It addresses one of the key issues that baffles many researchers and practitioners in the field, i.e., human managing practice, regulation, operations actually alter largely the natural hydrological processes that the basis of the computer models they heavily rely on. The novelty of our method paves a way to effectively separating the human impacts from the natural impacts. This method is of great relevance to industry that often needs to plan for future water management facing both climate change impacts as well as human factors such as urbanisation and growth. The Swansea team collaborated with the team based in Colorado State University in the US, which has led to a successful small grant application in the US that helped establish the partnership between the two groups led by Dr Xuan (the corresponding author of the paper) and Dr Ryan Bailey of CSU.
College: College of Engineering
Issue: 9
Start Page: 3187
End Page: 3210