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The purpose of this paper is to present a proposal for formulating a national water demand management policy for Jordan. The objective is to stimulate discussion on the development and adoption of a formal policy document.

The paper reviews data on water availability and use in Jordan. This is followed by a discussion of a number of policy objectives and elements.

The paper results in the formulation of a policy that should be further reviewed and made official by the Ministry of Water and Irrigation in Jordan.

The paper is a new source of information on the necessary elements of water policy.

The purpose of this paper is twofold: first, to estimate the water demand elasticities using a parametric linear programming (LP) model to provide an insight into the accurate and flexible pricing policy of irrigation water in the Jordan Valley; and second, to highlight key risk aspects, related to water demand, which are likely to impact the community.

A parametric LP model was used in this research. Primary and secondary data were collected.

Results revealed that the demand elasticity is high in Spring and Summer than in Fall and Winter, meaning that during Spring and Summer farmers are willing to forgo larger amounts of water than in other months. This is because of areas planted during Spring seasons are much less than those of Autumn and Winter.

The Jordan Valley suffers from water scarcity risk, and consequently the area to be planted is not fully utilized, leading to lower cropping intensities. Responsible authorities in Jordan need to address these issues and propose proper solutions in order to reduce further escalation of this risk and subsequent impact on local communities. Insight into the value of water demand elasticities is essential to support and mitigate policy decision making under risk conditions, concerning investments in water supply systems; investments in the water distribution and irrigation systems; efficient allocation of water with competing sectors; setting water pricing and tariffs; setting cost recovery mechanisms, and the risks encountered under lack of mitigated policy decision making.

This is one of few studies that addresses in detail using a parametric LP model the issue of water scarcity, related risks and subsequent impact on society in Jordan. It is expected to help policy and decision makers better formulate future estimates and demand which subsequently reduce related risks.

The purpose of this paper is to develop a statistical-based model to forecast future domestic water demand in the context of climate change, population growth and technological development in Yellow River.

The model is developed through the analysis of the effects of climate variables and population on domestic water use in eight sub-basins of the Yellow River. The model is then used to forecast water demand under different environment change scenarios.

The model projected an increase in domestic water demand in the Yellow River basin in the range of 67.85 × 10⁸ to 62.20 × 10⁸ m³ in year 2020 and between 73.32 × 10⁸ and 89.27 × 10⁸ m³ in year 2030. The general circulation model Beijing Normal University-Earth System Model (BNU-ESM) predicted the highest increase in water demand in both 2020 and 2030, while Centre National de Recherches Meteorologiques Climate Model v.5 (CNRM-CM5) and Model for Interdisciplinary Research on Climate- Earth System (MIROC-ESM) projected the lowest increase in demand in 2020 and 2030, respectively. The fastest growth in water demand is found in the region where water demand is already very high, which may cause serious water shortage and conflicts among water users.

The simple regression-based domestic water demand model proposed in the study can be used for rapid evaluation of possible changes in domestic water demand due to environmental changes to aid in adaptation and mitigation planning.

The purpose of this paper is to assess the long‐term ability of the Integrated Southern Ghor Project (ISGP) to meet the required water demands, assess the resulting energy requirements, pumping costs, water transfers, benefits of the current system with respect to predevelopment conditions and effect of projected water demands increase on the resulting water deficits.

A surface water resources management model is developed using dynamic programming. The model inputs are the hydrological inflows from the different wadis in the project area, reservoirs characteristics and evaporation rates, system water demands. The model outputs are water deficits at the different demand areas, reservoirs storage and release sequences, water transfers and energy requirements and the associated costs. The average annual values of different performance criteria with the annual frequency curves are used to evaluate the implications of different water scenarios on the ISGP.

The results show the efficiency of the ISGP model in reducing the water deficits in the demand areas as compared to predevelopment conditions. Increased demand scenario showed the importance of finding new water projects to supplement the Southern Ghor Area in the future in order to meet the increasing water demands. The proposed water transfer will reduce the resulting deficits at the agricultural areas without the expenses of increasing the water deficits at other demand areas. The application of this model is expected to enhance decision making regarding water policies in Jordan.

This paper provides critical quantitative information to decision makers in Jordan about the potential of the different storage facilities and proposed transfers in meeting the required water demands in the Southern Ghor Project and assesses the required energy for that. This can help decision makers to have a holistic view about the expected water deficits in the area and therefore assist them in determining the areas impacted most and what alternative solution to use. The paper also shows the importance of using optimal control/management models to support water resources decision making in Jordan.

Freshwater availability is reducing globally, due to increasing demand with population growth and climate change and is disproportionately impacting developing countries. This study aims to investigate the dynamics of water access and consumption across all regions of Thailand with various characteristics and water systems. Understanding the relationship between institutional, economic and climate variables in Thailand’s water management is important for water scarcity planning. Our paper fills a gap in the literature by examining the determinants of water consumption and exploring potential water management policies.

The authors empirically analyze the determinants of water consumption in Thailand, including institutional, economic and climate variables. The authors use data sets from both metropolitan and provincial waterworks authorities (PWA), as well as economic and meteorological macro-level data. The authors also adopt an auto-regressive distributed lag (ARDL) model and a Johansen cointegration test to estimate short- and long-run effects of the variables on water consumption.

The authors confirm a negative relationship between water pricing and consumption and verify a positive relationship between economic growth and water consumption across most regions of Thailand. Furthermore, the authors reveal a clear relationship between climate factors and water consumption and an inverse relationship between income and water consumption in metropolitan area. Findings indicate that authorities, especially PWA, should examine high water use in agriculture and develop regulations to ensure equitable water distribution to sustain economic growth. The authors recommend that water prices are increased within specific income thresholds to prevent impacting low-income families and to secure higher public revenue. In pursuit of environmental sustainability, the authors also recommend increasing public awareness of freshwater scarcity through education programs and investment in water-saving technologies. Differences among regions should be considered when developing water management strategies, which could be monitored through the respective water boards.

This study provides deep insight into the key factors that drive both water prices and water consumption in poor and rich areas. The unique nature of the research indicated that the paper will be of interest to policymakers and the academic community. The findings are relevant for water consumption management in Thailand and other developing countries with similar characteristics.

This paper aims to provide a view on the implications of large‐scale increases in demand for biomass production on water storage behaviours. In climates of high variability in rainfall, the pressures on farmers to build up on‐farm surface water supplies to the detriment of communities and businesses downstream is already present. Therefore, the added water storage pressures that arise from future demands for biomass need to be investigated.

This viewpoint presents a review of the issues surrounding the forecast for demand for agriculturally produced biomass and the increased demands on surface water storage created. The paper then presents the problem of unfair and unsafe water storage in agriculture through a review of the surrounding literature and policy in place in Australia.

The paper finds that if predicted skyrocketing future demand for biomass production for energy eventuates, then surface water on‐farm storages would be placed at increased risk as farmers experience pressure to store more water than they are entitled to. Increased demands from biomass production could mean that surrounding communities suffer increased threat from unfair water sharing in times of drought, and unsafe water storage in times of flood.

Policy should be developed rapidly to address the current unsustainable water storage management practices of farmers and sustainable biomass production. Water management behaviour certification should be introduced immediately to counter the risk of over storage in light of the demands of the future.

The paper provides an overview of the issues surrounding unfair and unsafe on farm water storage in dams in climate extremes placed in the context of a new and emerging demand on farmers to produce in an unsustainable manner.

It is essential to provide drinking water to affected population directly after a disaster. The purpose of this paper is to develop an optimization methodology that helps in the distribution of drinking water in post-disaster situations.

The research was conducted on two phases: phase 1 aims at identifying an appropriate way to deliver drinking water to refugee camps from external sources, considering required drinking water quantities and four possible sources of water with respect to cost and risk assessments. Phase 2 investigates drinking water distribution within a refugee camp using covering models. The MCLP–optimal number of facilities model is proposed to ensure that the water is distributed and delivered to all individuals in a camp with minimum number of water storage tanks required. A control policy is proposed to ensure the fair distribution of water to all targeted individuals.

Al-Za’atari refugee camp, located in northeast of Jordan, was considered as the case study for this research. The result showed that the appropriate way to deliver water to the camp is by using tanker–trucks, and a minimum number of five tanks are required to distribute water to individuals inside the camp with respect to tank locations and the allocation of tank of each area.

The proposed methodology is essential in decision making for the distribution of drinking water in refugee camps in short-term needs. The model adds important value to the literature as the proposed problem has no solution in the literature before.

The purpose of this paper is to investigate the factors affecting consumer demand for and the effects on tax on sparkling and non-sparkling bottled water in the USA.

Using nationally representative data from 62,092 households and tobit econometric procedure, conditional and unconditional factors affecting the demand for sparkling and non-sparkling bottled water were estimated.

The own-price elasticity of demand for sparkling and non-sparkling bottled water is −0.664 and −0.229, respectively. Coffee, fruit drinks, whole milk and tea are substitutes for non-sparking bottled water. Non-sparking bottled water, coffee, fruit drinks and whole milk are substitutes for sparking bottled water. Household income, race, region and presence of children significantly affect the demand for bottled water. A 10 percent increase in price due to a tax on bottled water decreased plastic use by 50 grams per household per year. This is equivalent to saving 9.5m pounds of plastic annually.

Data used in this analysis only captured at-home consumption of bottled water by US households. While tax on bottled water may reduce the consumption of bottled water, it may increase the consumption of competitive beverages such as carbonated soft drinks or fruit drinks. Although the use of plastic with regards to water bottles may go down as a result of the tax, the plastic consumption could go up with regards to consumers’ increased purchase of other beverages. This might contribute net increase plastic bottle consumption, undermining the effects of a bottled water tax.

To the best of the authors’ knowledge, this study is the first to look at demand and tax aspects with regards to disaggregated bottled water products.

Tackling the challenges of water scarcity requires comprehensive management according to financial, environmental and social issues. This paper aims to develop a planning approach for systematic decision-making and pay attention to uncertainties in water demand management and supply investment.

This study presents a multiobjective optimization model to manage water resources based on the balance of supply and demand. The objectives of the model include economic, social and environmental (sustainable development) factors. The model achieves an optimal urban water portfolio by using a scenario tree.

The mathematical goal programming (GP) in a multiobjective optimization model is applied and solved by the branch and bound method. The results indicate the selected supply augmentation and demand management options in each stage for 20 years according to the dry, normal and wetness year scenarios.

This model is based on a real-world case and has been implemented in the city of Karaj. It can be applied for water management of other cities concerning sustainable development as well.

This paper innovates by considering the sustainable development criteria that are defined using three objective functions, including economic, social and environmental factors. The balance of supply and demand concerning uncertainty has not been investigated in any urban water portfolios. The standardized precipitation evapotranspiration index (SPEI) is incorporated to generate different scenarios. To the best of the authors’ knowledge, this approach is used for the first time.

The purpose of this study is to develop a methodology for sustainable drinking water management by assessing the existing state of the water supply system in the study area (Allahabad, India). An attempt is made to identify various problems and gaps in the existing system and evolve solutions for the present water supply problems in a GIS framework. Finally, the paper proposes a conceptual framework for sustainable drinking water management.

The study was conducted in four stages. The first stage involved collection of data and background information through various primary and secondary sources including reports and publications of various organizations. This was followed by discussions with various officials of Uttar Pradesh (UP) Jal Nigam (Water Corporation), Jal Sansthan (Water Board), State Ground Water Board, Central Ground Water Board and Municipal Corporation of the city. The second stage involved field studies in a few zones of the city. The third stage involved data input and analysis on a GIS platform, and the fourth stage includes the development of a solution of the present problems and proposing a conceptual framework for ensuring sustainable drinking water management for Allahabad City.

ArcInfo 9.1 has been used as a tool for storing all types of relevant data for analysis and decision making. The various thematic maps include water supply zone map, water deficit localities map, land use map, location of tubewells, overhead tanks, zonal pumping station, ward boundaries, population map, water demand and supply map.

Applicability of a partnership between the public and the private sector has to be checked for proper institutional analysis in Allahabad City.

The paper assesses the problems in the existing water supply system in Allahabad and proposes to give a GIS‐based solution strategy for its sustainability. The proposed GIS‐based conceptual framework would improve the current practice of drinking water management and would reduce the present problem of water crisis. The findings of the study would be useful for cities with similar problems in underdeveloped and developing countries.