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Analysis and simulation of the influencing factors on regional water use based on information entropy

Ma Lihua, Shaozhong Kang, Yunqing Xuan Orcid Logo, Su Xiaoling, Dimitri P Solomatine

Water Policy, Volume: 14, Issue: 6, Start page: 1033

Swansea University Author: Yunqing Xuan Orcid Logo

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DOI (Published version): 10.2166/wp.2012.066

Abstract

Water scarcity and sustainability are two significant issues that affect social-economical development in my emerging economies such as China as well as in the developed world. This paper summarises a joint research programme looking into the water consumption issues in arid North-Western China unde...

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Published in: Water Policy
ISSN: 1366-7017
Published: 2012
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa13906
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spelling 2013-08-20T11:47:15.6025993 v2 13906 2013-09-03 Analysis and simulation of the influencing factors on regional water use based on information entropy 3ece84458da360ff84fa95aa1c0c912b 0000-0003-2736-8625 Yunqing Xuan Yunqing Xuan true false 2013-09-03 CIVL Water scarcity and sustainability are two significant issues that affect social-economical development in my emerging economies such as China as well as in the developed world. This paper summarises a joint research programme looking into the water consumption issues in arid North-Western China under future climate change impact. It proposed a completely novel entropy-based method along with AI technique to look into complex impact factors in order to support effective mitigation measures taken by the local government. I was the main PhD supervisor of this research where I developed the research framework and the main research line. Journal Article Water Policy 14 6 1033 1366-7017 Information entropy; Mutual information; Water use proportion 31 12 2012 2012-12-31 10.2166/wp.2012.066 COLLEGE NANME Civil Engineering COLLEGE CODE CIVL Swansea University 2013-08-20T11:47:15.6025993 2013-09-03T06:39:26.0000000 College of Engineering Engineering Ma Lihua 1 Shaozhong Kang 2 Yunqing Xuan 0000-0003-2736-8625 3 Su Xiaoling 4 Dimitri P Solomatine 5
title Analysis and simulation of the influencing factors on regional water use based on information entropy
spellingShingle Analysis and simulation of the influencing factors on regional water use based on information entropy
Yunqing Xuan
title_short Analysis and simulation of the influencing factors on regional water use based on information entropy
title_full Analysis and simulation of the influencing factors on regional water use based on information entropy
title_fullStr Analysis and simulation of the influencing factors on regional water use based on information entropy
title_full_unstemmed Analysis and simulation of the influencing factors on regional water use based on information entropy
title_sort Analysis and simulation of the influencing factors on regional water use based on information entropy
author_id_str_mv 3ece84458da360ff84fa95aa1c0c912b
author_id_fullname_str_mv 3ece84458da360ff84fa95aa1c0c912b_***_Yunqing Xuan
author Yunqing Xuan
author2 Ma Lihua
Shaozhong Kang
Yunqing Xuan
Su Xiaoling
Dimitri P Solomatine
format Journal article
container_title Water Policy
container_volume 14
container_issue 6
container_start_page 1033
publishDate 2012
institution Swansea University
issn 1366-7017
doi_str_mv 10.2166/wp.2012.066
college_str College of Engineering
hierarchytype
hierarchy_top_id collegeofengineering
hierarchy_top_title College of Engineering
hierarchy_parent_id collegeofengineering
hierarchy_parent_title College of Engineering
department_str Engineering{{{_:::_}}}College of Engineering{{{_:::_}}}Engineering
document_store_str 0
active_str 0
description Water scarcity and sustainability are two significant issues that affect social-economical development in my emerging economies such as China as well as in the developed world. This paper summarises a joint research programme looking into the water consumption issues in arid North-Western China under future climate change impact. It proposed a completely novel entropy-based method along with AI technique to look into complex impact factors in order to support effective mitigation measures taken by the local government. I was the main PhD supervisor of this research where I developed the research framework and the main research line.
published_date 2012-12-31T03:23:31Z
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score 10.897746