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A strategy to deal with water crisis under climate change for mainstream in the middle reaches of Yellow River

dc.contributor.authorWang, Xiao-jun
dc.contributor.authorZhang, Jian-yun
dc.contributor.authorHe, Rui-min
dc.contributor.authorElMahdi, Amgad
dc.contributor.authorEl Sawah, Sondoss
dc.contributor.authorShang, Man-ting
dc.date.accessioned2015-12-10T23:11:14Z
dc.date.issued2011
dc.date.updated2016-02-24T08:33:19Z
dc.description.abstractOur planet is increasingly threatened by degradation in water quantity and quality due to climate change, population growth and development pressures. Water shortage is one of the most challenging environmental problems to humankind in the 21st century under the changing climate. Water shortages and scarcity escalate risks to food security and economic viability. For decades, water management has been dominated by supply oriented paradigm of expanding the capacity of accessible water (e. g. building dams). While large scale infrastructure projects provided effective solutions for chronic water crises in the past, they have come at expensive, irreversible and delayed ecological, economic and social costs. As more questions are raised concerning over reliance on infrastructure solutions, discussions about a sustainable future suggest a greater focus on the demand side of the equation is needed. In this paper, we use multi-recursive and runoff coefficient analysis methods to analyze the annual runoff of the mainstreams (Kuye River, Tuwei River, Wuding River and Jialu River) in the middle reaches of Yellow River. The main objective is to estimate the impacts of climate change and human activity on water resources in the study area and test the potential of water demand management to lessen the gap between supply and demand. Results show remarkable drop in the average annual runoff as a combined effect of climate change and human activity. Moreover, results show that human activities are the direct reason for the changes of river runoff, and the proportion of human activities account the biggest is Wuding river, next is Kuye river, Jialu river is smallest, these changes lead to the decrease of river runoff, and even drying up in recent years. This result highlights the importance of using WDM to diminish the increasing gap between demand and supply. Motivated by this, the paper presents a comprehensive framework for implementation WDM in the middle reaches of Yellow River. The framework includes a wide range of instruments: legislative, economic, technological and educational. The core step of the framework, collaboration among water planners, water service providers and end-users lies as an essential mechanism for achieving long term trade-offs between ecological and socio-economic water needs.
dc.identifier.issn1381-2386
dc.identifier.urihttp://hdl.handle.net/1885/63725
dc.publisherKluwer Academic Publishers
dc.sourceMitigation and adaptation strategies for global change
dc.subjectKeywords: climate change; food security; human activity; population growth; regression analysis; socioeconomic survey; trade-off; twenty first century; water demand; water management; water quality; water supply; China; Yellow River Climate change; Regression analysis; Water Demand Management (WDM); Yellow River
dc.titleA strategy to deal with water crisis under climate change for mainstream in the middle reaches of Yellow River
dc.typeJournal article
local.bibliographicCitation.lastpage12
local.bibliographicCitation.startpage1
local.contributor.affiliationWang, Xiao-jun, Nanjing Hydraulic Research Institute
local.contributor.affiliationZhang, Jian-yun, Nanjing Hydraulic Research Institute
local.contributor.affiliationHe, Rui-min, Nanjing Hydraulic Research Institute
local.contributor.affiliationElMahdi, Amgad, Bureau of Meteorology
local.contributor.affiliationEl Sawah, Sondoss, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationShang, Man-ting, Nanjing Hydraulic Research Institute
local.contributor.authoruidEl Sawah, Sondoss, u4900991
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor010406 - Stochastic Analysis and Modelling
local.identifier.absfor050204 - Environmental Impact Assessment
local.identifier.absfor050209 - Natural Resource Management
local.identifier.absseo960301 - Climate Change Adaptation Measures
local.identifier.absseo960302 - Climate Change Mitigation Strategies
local.identifier.absseo960303 - Climate Change Models
local.identifier.ariespublicationf2965xPUB841
local.identifier.citationvolumeOnline
local.identifier.doi10.1007/s11027-010-9279-1
local.identifier.scopusID2-s2.0-79955988753
local.identifier.thomsonID000290581400004
local.type.statusPublished Version

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