Daanish Mustafa. 2013. Water Resource Management in a Vulnerable World: The Hydro-Harzardscapes of Climate Change. New York, NY: I.B. Tauris & Co. Ltd.

2014 ◽  
Vol 14 (1) ◽  
pp. 138-139 ◽  
Author(s):  
Dallas Blaney
Keyword(s):  
Climate Change ◽  
New York ◽  
Resource Management ◽  
Water Resource ◽  
Water Resource Management

Water-Resource Management in Mexico Under Climate Change

2015 ◽  
pp. 215-243
Author(s):  
R. T. Montes-Rojas ◽  
J. E. Ospina-Noreña ◽  
C. Gay-García ◽  
C. Rueda-Abad ◽  
I. Navarro-González
Keyword(s):  
Climate Change ◽  
Resource Management ◽  
Water Resource ◽  
Water Resource Management

scholarly journals Applications of Bayesian Networks as Decision Support Tools for Water Resource Management under Climate Change and Socio-Economic Stressors: A Critical Appraisal

Water ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2642 ◽  
Author(s):  
Thuc D. Phan ◽  
James C. R. Smart ◽  
Ben Stewart-Koster ◽  
Oz. Sahin ◽  
Wade L. Hadwen ◽  
...  
Keyword(s):  
Climate Change ◽  
Decision Support ◽  
Resource Management ◽  
Bayesian Networks ◽  
Water Resource ◽  
Water Resource Management ◽  
Decision Support Tools ◽  
Management Measures ◽  
Support Tools ◽  
Economic Stressors

Bayesian networks (BNs) are widely implemented as graphical decision support tools which use probability inferences to generate “what if?” and “which is best?” analyses of potential management options for water resource management, under climate change and socio-economic stressors. This paper presents a systematic quantitative literature review of applications of BNs for decision support in water resource management. The review quantifies to what extent different types of data (quantitative and/or qualitative) are used, to what extent optimization-based and/or scenario-based approaches are adopted for decision support, and to what extent different categories of adaptation measures are evaluated. Most reviewed publications applied scenario-based approaches (68%) to evaluate the performance of management measures, whilst relatively few studies (18%) applied optimization-based approaches to optimize management measures. Institutional and social measures (62%) were mostly applied to the management of water-related concerns, followed by technological and engineered measures (47%), and ecosystem-based measures (37%). There was no significant difference in the use of quantitative and/or qualitative data across different decision support approaches (p = 0.54), or in the evaluation of different categories of management measures (p = 0.25). However, there was significant dependence (p = 0.076) between the types of management measure(s) evaluated, and the decision support approaches used for that evaluation. The potential and limitations of BN applications as decision support systems are discussed along with solutions and recommendations, thereby further facilitating the application of this promising decision support tool for future research priorities and challenges surrounding uncertain and complex water resource systems driven by multiple interactions amongst climatic and non-climatic changes.

scholarly journals Analyzing the Effectiveness of a Multi-Purpose Dam Using a System Dynamics Model

Water ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1062 ◽  
Author(s):  
Sleemin Lee ◽  
Doosun Kang
Keyword(s):  
Climate Change ◽  
Resource Management ◽  
System Dynamics ◽  
Water Use ◽  
Water Resource ◽  
Water Resource Management ◽  
Target Area ◽  
System Dynamics Model ◽  
Dynamics Model ◽  
The Social

The increasing frequency of extreme droughts and flash floods in recent years due to climate change has increased the interest in sustainable water use and efficient water resource management. Because the water resource sector is closely related to human activities and affected by interactions between the humanities and social sciences, there is a need for interdisciplinary research that can consider various elements, such as society and the economy. This study elucidates relationships within the social and hydrological systems and quantitatively analyzes the effects of a multi-purpose dam on the target society using a system dynamics model. A causal loop was used to identify causal relationships between the social and hydrological components of the target area, and a simulation model was constructed using the system dynamics technique. Additionally, climate change and socio-economic scenarios were applied to analyze the future effects of the multi-purpose dam on population change, the regional economy, water use, and flood damage prevention in the target area. The model proved reliable in predicting socio-economic changes in the target area and can be used to make decisions about efficient water resource management and water-resource-related facility planning.

scholarly journals Climatic controls on watershed reference evapotranspiration vary dramatically during the past 50 years in southern China

2017 ◽  
Author(s):  
Mengsheng Qin ◽  
Lu Hao ◽  
Lei Sun ◽  
Yongqiang Liu ◽  
Ge Sun
Keyword(s):  
Climate Change ◽  
Resource Management ◽  
Water Resource ◽  
Air Temperature ◽  
Water Resource Management ◽  
Reference Evapotranspiration ◽  
Southern China ◽  
The Past ◽  
Increasing Trend ◽  
The Individual

Abstract. Reference evapotranspiration (ETo) is an important hydrometeorological term widely used in water resource management, hydrological modeling, and understanding and projecting the hydrological effects of future climate change and land use change. Identifying the individual climatic controls on ETo helps better understand the processes of global climatic change impacts on local water resources and also simplify modeling efforts to predict actual evapotranspiration. We conducted a case study on the Qinhuai River Basin (QRB), a watershed dominated by a humid subtropical climate and mixed land uses in southern China. Long term (1961–2012) daily meteorological data at six weather stations across the watershed were used to estimate ETo by the FAO-56 Penman−Monteith model. The seasonal and annual trends of ETo were examined using the Mann−Kendall nonparametric test. The individual contributions from each meteorological variable were quantified by a detrending method. The results showed that basin-wide annual ETo had a decreasing trend during 1961–1987 due to decreased wind speed (WS), solar radiation (Rs), vapor pressure deficit (VPD), and increased relative humidity (RH). These variables had different magnitudes of contribution to the ETo trend in different seasons examined during 1961−1987. However, during 1988–2012, both seasonal and annual ETo showed an increasing trend, mainly due to increased VPD and decreased RH and, to lesser extent, to decreased absolute humidity (AH) and a rising air temperature. We show that the key climatic controls on ETo have dramatically shifted as a result of global climate change during the past five decades. Now the atmospheric demand, instead of air temperature alone, is a major control on ETo. Thus, we conclude that accurately predicting current and future ETo and hydrological change under a changing climate must consider changes in VPD (i.e., air humidity and temperature) in the study region. Water resource management in the study basin must consider the increasing trend of ETo to meet the associated increasing water demand for irrigation agriculture and domestic water uses.

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