Relevant bibliographies by topics / Water demand and supply

Academic literature on the topic 'Water demand and supply'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Water demand and supply"

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Alfarra, Amani, Eric Kemp Benedict, Heinz Hötzl, Nayif Sader, and Ben Sonneveld. "Modeling Water Supply and Demand for Effective Water Management Allocation in the Jordan Valley." Journal of Agricultural Science and Applications 01, no. 01 (March 30, 2012): 1–7. http://dx.doi.org/10.14511/jasa.2012.010101.

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Cai, Ximing, and Mark W. Rosegrant. "Global Water Demand and Supply Projections." Water International 27, no. 2 (June 2002): 159–69. http://dx.doi.org/10.1080/02508060208686989.

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Rosegrant, Mark W., and Ximing Cai. "Global Water Demand and Supply Projections." Water International 27, no. 2 (June 2002): 170–82. http://dx.doi.org/10.1080/02508060208686990.

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Seizarwati, Wulan, Heni Rengganis, Muhshonati Syahidah, and Waluyo Hatmoko. "Water Supply Scheme in Morotai Island." Journal of the Civil Engineering Forum 6, no. 1 (May 19, 2020): 123. http://dx.doi.org/10.22146/jcef.51516.

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Morotai Island is designated as one of the National Tourism Strategic Area, and has increased demand for pure water. It is known as a dry area where water is difficult to obtain, and therefore, it is necessary to prepare a supply scheme to meet the island's demand. Hence, this study aims to obtain supply protocol from various available sources, in order to meet all water demands, especially for tourism sector development. The several methods used in this research include demand calculation for domestic, industry, irrigation, livestock, and tourism; rainfall-runoff simulation using Wflow model and estimation of groundwater availability using the baseflow recession method. Furthermore, surface balance shows the water availability in each sub-districts is not able to meet the demands. To overcome this problem, a supply scheme has been prepared, e.g. surface water utilization by constructing free intake in North Morotai, groundwater use by constructing dug and drilled wells in many locations, especially coastal areas, spring water utilization by creating a collection system (broncaptering) in Jaya, East and South Morotai. Furthermore, small islands can utilize springs and shallow dug wells, to prevent seawater intrusion from affecting the quality. The scheme suggests an appropriate infrastructural support to supply local communities, as well as develop the Island to be the new primary tourism center in Indonesia.
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Sahin, Oz, Rodney A. Stewart, and Fernanda Helfer. "Bridging the Water Supply–demand Gap in Australia: Coupling Water Demand Efficiency with Rain-independent Desalination Supply." Water Resources Management 29, no. 2 (September 14, 2014): 253–72. http://dx.doi.org/10.1007/s11269-014-0794-9.

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Zanfei, Ariele, Andrea Menapace, and Maurizio Righetti. "An artificial intelligence approach for managing water demand in water supply systems." IOP Conference Series: Earth and Environmental Science 1136, no. 1 (January 1, 2023): 012004. http://dx.doi.org/10.1088/1755-1315/1136/1/012004.

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Abstract Water demand management is essential for water utilities, which have the critical task of supplying drinking water from water sources to end-users through the distribution network. Therefore, the water utilities have to make decisions for the current and future functioning of the water distribution system. In this context, the artificial intelligence approach with data-driven methods can be used to develop powerful tools to improve overall water management. In fact, data-driven methods can model water demands for plenty of tasks and applications such as demand forecasting or anomaly detection. In this work, we propose and discuss a practical application of an artificial neural network to model the urban water demand of a water supply system. The flexibility of the proposed method allows the prediction of water demand on different horizons. Moreover, this developed model can effectively support water utilities on different operational schedules and decision tasks.
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Hoy, L., and S. Stelli. "Water conservation education as a tool to empower water users to reduce water use." Water Supply 16, no. 1 (August 19, 2015): 202–7. http://dx.doi.org/10.2166/ws.2015.073.

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There is a finite supply of global fresh water available for human consumption, which is in great demand from both humans and the environment. As technology and populations increase, so do the demands and pressure on this limited resource. Demand far too often outstrips supply, requiring authorities to impose restrictions on water use. Recent research undertaken by Rand Water, in the Rand Water supply area (in and around Gauteng, South Africa) points to the desire from end users to be empowered with knowledge to make their own decisions on water use reduction, rather than to have authoritative restrictions imposed on them. This observation indicates the importance of water conservation education and awareness campaigns to facilitate the reduction in water consumption by consumers, and suggests that education is a priority in the implementation of water conservation strategies.
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He, Shuang Hua. "Functional Reliability Analysis of Post-Earthquake Water Supply System." Applied Mechanics and Materials 438-439 (October 2013): 1551–54. http://dx.doi.org/10.4028/www.scientific.net/amm.438-439.1551.

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Conventional demand-driven models of water supply system are formulated under the assumption that nodal demands are statistic constants, which is not suitable for the cases where nodal pressure is not sufficient for supplying the required demand. An efficient approach for pressure-dependent demand analysis was developed to simulate the hydraulic states of the network for low pressure scenarios, and the mean-first-order-second-moment method was introduced to do the functional reliability analysis of post-earthquake water supply system, which can be applied to further study for seismic performance control analysis of water distribution system.
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Zhu, Ran, and Yiping Fang. "Application of a Water Supply-Demand Balance Model to Set Priorities for Improvements in Water Supply Systems: A Case Study from the Koshi River Basin, Nepal." International Journal of Environmental Research and Public Health 19, no. 3 (January 30, 2022): 1606. http://dx.doi.org/10.3390/ijerph19031606.

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Water scarcity is one of the leading challenges for sustainable development in the context of climate change, particularly for agriculturally reliant countries. Inadequate water supplies tend to generate environmental and health issues. Improvements in water supply systems should give priority to the region with the most severe mismatch between water supply and demand. To set priorities for the improvement of water supply systems, this study proposed a water supply-demand balance model to quantify the water supply-demand gap in the Koshi River basin and compared it with the traditional water vulnerability model. The results suggested that (1) the water supply-demand balance model had good applicability to the Koshi River basin and was superior to traditional models in identifying the region with the most severe mismatch; (2) the shortage of agricultural water was much more serious than that of domestic water in the basin; (3) the largest supply-demand gap of domestic water was in Tarai and that of agricultural water was in the hill areas; and (4) Four districts, including Lalitpur, Mahottari, Makwanpur, and Solukhumbu, were found to be the most water-stressed regions and priority should be given to them. Based on these findings, the priority setting in the improvement of water supply systems and adaptation strategies for mitigating water stress from the perspectives of the government, communities, and households were presented. It helps design water supply systems that match heterogeneous demands and optimize systems operation. Targeted improvements in water supply systems can make limited funds available to benefit more residents.
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Brazel, Anthony J. "Water: A Case of Supply and Demand." Weatherwise 39, no. 2 (April 1986): 88. http://dx.doi.org/10.1080/00431672.1986.9930168.

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Dissertations / Theses on the topic "Water demand and supply"

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Regli, Philip Warner. "Residential demand for water in the Phoenix metropolitan area." Thesis, The University of Arizona, 1985. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu_e9791_1985_160_sip1_w.pdf&type=application/pdf.

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Collins-Webb, Jason. "Decision support for sustainable water supply management." Thesis, University of Surrey, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.250879.

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Du, Plessis J. A. "Integrated water demand management for local water governance." Thesis, Stellenbosch : University of Stellenbosch, 2010. http://hdl.handle.net/10019.1/5435.

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Nyong, Anthony Okon. "Domestic water demand in rural semi-arid Nigeria /." *McMaster only, 1998.

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Cobba, Hussain M. A. Raji. "Pricing, investment, and demand management in the water supply industry." Thesis, University of Leicester, 1988. http://hdl.handle.net/2381/35472.

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The subject matter of this thesis is the definition, measurement and use of marginal cost as a tool of analysis to assist the process of decision-making in the water supply industry. Demand management is viewed in broad terms to include the establishment of an optimal structure and level of prices and investment in optimal capacity as well as investment in demand-restraining measures such as leakage detection and control. The study examines the definition of marginal cost as a benchmark for price setting. It provides empirical estimates of the various components of marginal cost of water supply in the Hampshire area, part of the Southern Water Authority. These estimates assume an exogenously determined level of demand and therefore exclude any possible direct interaction between the pricing and investment decisions. Departing from this tradition the study also examines a number of models where, under specific assumptions, optimal prices, output and capacity levels over a chosen planning horizon are simultaneously determined. This allows for direct interaction between the pricing and investment decisions. The study simulates optimal paths of prices, output and capacity expansion in the Hampshire area. This is carried out under various assumptions, one of which admits the potential of staging capacity expansion in order to take advantage of economies of scale in the capital cost function. An analysis of leakage detection and control as a demand management tool is presented in the final part of the study. The purpose of this analysis is to investigate how leakage detection and control may be conducted using either cost-benefit analysis or an appropriately defined tool of marginal cost.
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Martinez-Espineira, Roberto. "Residential water pricing for demand management in the UK : lessons from Spain." Thesis, University of York, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.369321.

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Manning, Jill Anna. "Water resources of west Cape Cod : an investigation of water supply and demand planning." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/43357.

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Helmle, Samuel F. "Water conservation planning : developing a strategic plan for socially acceptable demand control programs /." View online, 2005. http://ecommons.txstate.edu/arp/2/.

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Hartley, Joseph Alan. "A neural network and rule based system application in water demand forecasting." Thesis, Brunel University, 1995. http://bura.brunel.ac.uk/handle/2438/7867.

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This thesis describes a short term water demand forecasting application that is based upon a combination of a neural network forecast generator and a rule based system that modifies the resulting forecasts. Conventionally, short term forecasting of both water consumption and electrical load demand has been based upon mathematical models that aim to either extract the mathematical properties displayed by a time series of historical data, or represent the causal relationships between the level of demand and the key factors that determine that demand. These conventional approaches have been able to achieve acceptable levels of prediction accuracy for those days where distorting, non cyclic influences are not present to a significant degree. However, when such distortions are present, then the resultant decrease in prediction accuracy has a detrimental effect upon the controlling systems that are attempting to optimise the operation of the water or electricity supply network. The abnormal, non cyclic factors can be divided into those which are related to changes in the supply network itself, those that are related to particular dates or times of the year and those which are related to the prevailing meteorological conditions. If a prediction system is to provide consistently accurate forecasts then it has to be able to incorporate the effects of each of the factor types outlined above. The prediction system proposed in this thesis achieves this by the use of a neural network that by the application of appropriately classified example sets, can track the varying relationship between the level of demand and key meteorological variables. The influence of supply network changes and calendar related events are accounted for by the use of a rule base of prediction adjusting rules that are built up with reference to past occurrences of similar events. The resulting system is capable of eliminating a significant proportion of the large prediction errors that can lead to non optimal supply network operation.
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Antunes, André Filipe Martins. "Energetic analysis of water supply systems: demand forecasting using artificial intelligence techniques." Master's thesis, Universidade de Aveiro, 2017. http://hdl.handle.net/10773/23359.

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Mestrado em Engenharia Mecânica
In current days, a large number of water utilities manage their operation on the instant water demand of the network, meaning the use of the equipment is conditioned by the immediate water necessity. The water reservoirs of the networks are filled using pumps that start working when the water level reaches a specified minimum, stopping when it reaches a maximum level. Shifting the focus to management based on future demand allows to use the equipment when energy is cheaper, taking advantage of the electricity tariff in action, thus bringing significant financial savings over time. Short-term water demand forecasting is a crucial step to support decision making regarding the equipment operation management. For this purpose, forecasting methodologies were implemented and analyses in Python. Several machine learning methods, such as neural networks, random forests, support vector machines and k-nearest neighbours, are evaluated using real data from two Portuguese water utilities. Moreover, the influence of factors such as weather, seasonality, amount of data used in training and forecast window are also tested. The results are validated and compared with those achieved by ARIMA using benchmarks.
Hoje em dia, grande parte das empresas fornecedoras de água gere a sua operação com base na procura instantânea da rede, o que significa que a utilização dos equipamentos é condicionada pela procura imediata de água. Os reservatórios das redes são abastecidos recorrendo a bombas que são acionadas quando a água atinge o limite mínimo e desativadas quando esta atinge o limite máximo. Basear esta gestão na procura futura permite utilizar o equipamento de bombagem quando a energia elétrica é mais barata, ao tirar vantagem da tarifa elétrica em vigor, resultando numa diminuição de custos para a empresa. A previsão de consumos a curto prazo é um passo fundamental no apoio à decisão referente à gestão da operação dos equipamentos. Para isso, uma série de metodologias de previsão são implementadas e analisadas em Python. Alguns métodos de machine learning, como redes neuronais, random forests, support vector machines e k-nearest neighbours, são avaliados usando dados reais de duas empresas fornecedoras de água portuguesas. Além disso, a influência de fatores como a meteorologia, sazonalidade, quantidade de dados usados no treino, e janela temporal das previsões também são testadas. Os resultados são validados e comparados com aqueles alcançados pelo ARIMA com recurso a benchmarks.
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Books on the topic "Water demand and supply"

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O'Sullivan, Gerald. Water supply: The supply/demand problem. Dublin: Institution of Engineers of Ireland, 2002.

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Open University. Environmental Control and Public Health Course Team. Water supply and demand (and) Water quality/water experiments. Milton Keynes: Open University Press, 1985.

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Islam, Rafiqul. Water supply systems: Demand, distribution, and pollution. Hauppauge, N.Y: Nova Science Publishers, 2011.

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Billings, R. Bruce. Forecasting urban water demand. 2nd ed. Denver, Colo: American Water Works Association, Science and Technology, 2007.

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Vaughan, Jones Clive, ed. Forecasting urban water demand. Denver, Colo: American Water Works Association, 1996.

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Bevans, Hugh E. Water supply and demand in Sedgwick County, Kansas. [Reston, Va.?]: U.S. Geological Survey, Dept. of the Interior, 1989.

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San Francisco Public Utilities Commission. Wholesale customer water demand projections: Technical report. San Francisco: San Francisco Public Utilities Commission, 2004.

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Services, Great Britain Office of Water. Future levels of demand and supply for water. Birmingham: Ofwat, 1994.

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H, Austin Lloyd, American Water Resources Association. Utah Section., Central Utah Water Conservancy District., and Ballard, Spahr, Andrews & Ingersoll., eds. Water in the 21st century: Conservation, demand and supply : proceedings. Herndon, VA: The Association, 1995.

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1936-, Boland John, and Hanemann W. Michael, eds. Urban water demand management and planning. New York: McGraw-Hill, 1998.

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Book chapters on the topic "Water demand and supply"

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Sanders, Thomas G., and Vujica Yevjevieh. "Urban Water Demand." In Water Supply Systems, 7–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-61187-2_1.

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Stephenson, David. "Demand Management, Price and Reliability." In Water Supply Management, 107–40. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-5131-3_5.

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Veltri, Paolo. "Water Demand Has a Threshold." In Water Supply Systems, 19–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-61187-2_2.

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Jayawardena, A. W. "Domestic water – Supply and demand." In Water for Life, 71–91. London: Routledge, 2022. http://dx.doi.org/10.1201/9781003329206-5.

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Hausmann, Patrick. "Demand forecast." In Decision Support Systems for Water Supply Systems, 39–49. Zuerich, Switzerland: European Mathematical Society Publishing House, 2020. http://dx.doi.org/10.4171/207-1/3.

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Agthe, Donald E., and R. Bruce Billings. "Elasticity of Demand for Water Resource Managers." In Managing Urban Water Supply, 71–86. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-0237-9_5.

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McCarton, Liam, Sean O’Hogain, and Anna Reid. "Answering the Demand Versus Supply Question." In The Worth of Water, 105–34. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50605-6_7.

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Cuviella-Suárez, Carlos, David Borge-Diez, and Antonio Colmenar-Santos. "Energy Supply Versus Energy Demand." In Water and Energy Use in Sanitary-ware Manufacturing, 249–59. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72491-7_8.

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Fendeková, M., and M. Zeleňáková. "Water Supply and Demand in Slovakia." In The Handbook of Environmental Chemistry, 63–78. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/698_2017_212.

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Sherman, Martin. "Supply and Demand for Water in Israel." In The Politics of Water in the Middle East, 7–13. London: Palgrave Macmillan UK, 1999. http://dx.doi.org/10.1057/9780333983706_2.

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Conference papers on the topic "Water demand and supply"

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Kirsch, Brian R., Gregory W. Characklis, and Jocelyn Ramsey. "Optimization of a Water Supply Portfolio in a Stochastic Demand/Supply Environment." In World Water and Environmental Resources Congress 2005. Reston, VA: American Society of Civil Engineers, 2005. http://dx.doi.org/10.1061/40792(173)77.

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"The Water Scarcity: Imbalanced Supply-and-demand." In 2017 International Conference on Materials, Energy, Civil Engineering and Computer. Francis Academic Press, 2017. http://dx.doi.org/10.25236/matecc.2017.15.

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Mechelynck, André L. "WATER SUPPLY AND DEMAND: A TENTATIVE INVENTORY." In Proceedings of the Forty-Ninth Pugwash Conference on Science and World Affairs. WORLD SCIENTIFIC, 2001. http://dx.doi.org/10.1142/9789812799647_0050.

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Jayyousi, Anan, Ammar Jarrar, Mac McKee, and Jagath Kaluarachchi. "Development of Water Supply and Demand in Palestine." In World Water and Environmental Resources Congress 2004. Reston, VA: American Society of Civil Engineers, 2004. http://dx.doi.org/10.1061/40737(2004)132.

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Zhang, Qing James. "Water Demand and Supply Management from Utilities' Perspective." In World Environmental and Water Resources Congress 2007. Reston, VA: American Society of Civil Engineers, 2007. http://dx.doi.org/10.1061/40927(243)534.

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Nyende-Byakika, S., G. Ngirane-Katashaya, and J. M. Ndambuki. "Impact of water demand management on sustainable water supply service delivery." In Urban Water 2012. Southampton, UK: WIT Press, 2012. http://dx.doi.org/10.2495/uw120161.

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Singh, Ajay, and Anand Patwardhan. "Assessing water demand - supply imbalances in continental India." In 2010 International Conference on Environmental Engineering and Applications (ICEEA). IEEE, 2010. http://dx.doi.org/10.1109/iceea.2010.5596123.

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Kernan, Ronan, Xueqin Liu, Sean McLoone, and Brendan Fox. "Demand Side Management of public clean water supply." In 2015 50th International Universities Power Engineering Conference (UPEC). IEEE, 2015. http://dx.doi.org/10.1109/upec.2015.7339923.

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Florent, Guhl, Bremond Bernard, and Gilbert Denis. "The Uncertainty of Demand in Water Supply Optimization Models." In 29th Annual Water Resources Planning and Management Conference. Reston, VA: American Society of Civil Engineers, 1999. http://dx.doi.org/10.1061/40430(1999)49.

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Athapaththu, A. M. H. N., D. U. S. Illeperumarachchi, H. M. K. U. Herath, H. K. Jayasinghe, W. H. Rankothge, and Narmadha Gamage. "Supply and Demand Planning for Water: A Sustainable Water Management System." In 2020 2nd International Conference on Advancements in Computing (ICAC). IEEE, 2020. http://dx.doi.org/10.1109/icac51239.2020.9357256.

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Reports on the topic "Water demand and supply"

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Shrestha, B., G. Nakarmi, J. Merz, P. B. Shah, R. Weingartner, and S. Shrestha. Water and Erosion Studies of PARDYP Nepal; Water Demand and Supply Survey. Kathmandu, Nepal: International Centre for Integrated Mountain Development (ICIMOD), 2002. http://dx.doi.org/10.53055/icimod.399.

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Shrestha, B., G. Nakarmi, J. Merz, P. B. Shah, R. Weingartner, and S. Shrestha. Water and Erosion Studies of PARDYP Nepal; Water Demand and Supply Survey. Kathmandu, Nepal: International Centre for Integrated Mountain Development (ICIMOD), 2002. http://dx.doi.org/10.53055/icimod.399.

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HI-AWARE, ICIMOD. Rising demand and dwindling water supply: Urban Himalaya running dry. Kathmandu, Nepal: International Centre for Integrated Mountain Development (ICIMOD), 2018. http://dx.doi.org/10.53055/icimod.881.

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Pagan, Brianna R., Jeremy Pal, Chengyu Gao, Joseph Reichenberger, Donald R. Kendall, Moetasim Ashfaq, Deeksha Rastogi, Shih-Chieh Kao, Bibi S. Naz, and Jerry Schubel. Long Beach Climate Resiliency Study: Impacts on Water Supply and Demand. Office of Scientific and Technical Information (OSTI), August 2015. http://dx.doi.org/10.2172/1502614.

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Ozano, Kim, Andrew Roby, and Jacob Tompkins. Learning Journey on Water Security: UK Water Offer. Institute of Development Studies (IDS), January 2022. http://dx.doi.org/10.19088/k4d.2022.026.

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The overarching goals for the UK in relation to global water security are to; tackle and reverse growing water insecurity and its consequences caused by depletion and degradation of natural water sources; and address poor water management and increasing demand. To do this, the UK has a well-developed water ‘offer’ that together can help reach the goal of global water security. This note details some of that water offer: UK water leadership: The UK developed the concept of modern sanitation and water supply, with an early example being the Victorian Bazalgette London sewer; Ownership and regulation: The UK has four models of ownership: government department in Northern Ireland, GoCo in Scotland, Mutual in Wales, and private companies in England. But the common thread is strong and clear, regulation to deliver the right outcomes for society; Competition and markets: The UK set up the world’s first water retail markets for business customers, delivering savings and environmental benefits. Similar market mechanisms are being developed for sewage sludge, which will help drive circular economy solutions; Innovation: The UK has a huge number of water tech start-ups and most water companies have labs and pilot schemes to support these fledgling companies. At the same time, the English regulator, Ofwat, has established a huge innovation fund, which along with the Scottish Hydro Nation initiative has made the UK the best place in the world for water innovation and tech.
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Datshkovsky, Darcia, Maria Perez, Jesse Madden Libra, and Julien Sylvain Collaer,. Open configuration options Scarcity in the Land of Plenty. Inter-American Development Bank, February 2022. http://dx.doi.org/10.18235/0003969.

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Latin America and the Caribbean (LAC) is the most water-rich region in the world, but millions of its inhabitants live with water risk. This contradiction, driven by mismatches in the location of supply vs demand, quality issues, and failing infrastructure, makes it crucial that policy makers use people-centric water risk metrics when assessing water risk in LAC. 35% of the population lives in water stressed basins, a number which balloons to 60% when accounting for the lack of institutional capacity for preserving water quality and providing water services.
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Aghaie, Hamid. Solar District Heating Perspective in Austria. IEA SHC Task 55, November 2020. http://dx.doi.org/10.18777/ieashc-task55-2020-0013.

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Austrian district heating (DH) has experienced a fast increasing trend for the last 30 years (with the exception of the period 2010-2014), resulting in a triplication of delivered heat; in the year 2018, with about 2400 networks and 20 TWh supply, DH covered 6.4% of the final energy consumption (1122.5 PJ). Worth to underline is also that this growth of Austrian district heating has been about twice faster than the one of the energy demand in the same period. Currently, district heating provides about 26% of the Austrian households with the energy requested for space heating and domestic hot water preparation.
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Farmer, Roger E. Aggregate Demand and Supply. Cambridge, MA: National Bureau of Economic Research, September 2007. http://dx.doi.org/10.3386/w13406.

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Research Institute (IFPRI), International Food Policy. Seed demand and supply responses. Washington, DC: International Food Policy Research Institute, 2018. http://dx.doi.org/10.2499/9780896292833_04.

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Asquith, Brian J., Evan Mast, and Davin Reed. Supply Shock versus Demand Shock. W.E. Upjohn Institute for Employment Research, 2020. http://dx.doi.org/10.17848/pb2020-19.

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