MODELING WATER SUPPLY AND DEMAND FOR EFFECTIVE WATER MANAGEMENT ALLOCATION IN SELANGOR

Authors

  • Nurul Nadiah Mohd Firdaus Hum Faculty of Applied Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia
  • Suhaimi Abdul Talib Faculty of Civil Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia

DOI:

https://doi.org/10.11113/jt.v78.8569

Keywords:

Integrated Water Resource Management, Selangor, Water Supply and Demand, WEAP

Abstract

Water in Selangor is getting scarce due to its rapid economic growth. A fast growing population and expanding urbanization in the state creates new demands for water availability. Thus, the present study analyses the effects of three different scenarios using Water Evaluation and Planning (WEAP) model to evaluate the plausible future water scenarios of water availability in Selangor. The first scenario is business as usual which is later referred to as reference in this study. Second, higher population growth and the third is the application of the demand side management onto the reference and higher population growth scenario. These scenarios were then used to calculate the impact on the supply – demand gap by the year 2050. Two catchments were used namely Selangor and Langat to illustrate the water supply and demand in the state of Selangor. The study then generates information for use in managing water allocations amongst economic sectors in Selangor as the explicit accounting in the description of the water supply and demand among the urban and industry water usage is advocated. Such detailed scenario simulation and the inclusion of previously unaccounted for factors like the higher population growth and water savings management can help to create awareness of potential future problems, inform water practices and suggest management alternatives. Results show that with proper water savings measures, water deficit within Selangor will be significantly reduced.  

References

Babel, M. S., Das Gupta, A. and Nayak, D. K. 2005. A Model for Optimal Allocation of Water to Competing Demands. Water Resource Management. 19: 693-712.

Gleick, H. P., Cooley, H., Cohen, M., Morikawa, M., Morrison, J. and Palaniappan, M. 2009. The World’s Water 2008-2009: The Biennial Report on Freshwater Resources. Washington DC: Island Press.

Du Toit, D. R., Biggs, H. and Pollard, S. 2011. The Potential Role Of Mental Models Methodologies In Multistakeholder Negotiations:Integrated Water Resource Management In South Africa. Ecology and Society. 16(3): 21.

Barton, D. N., Saloranta, T., Moe, S. J., Eggestad, H. O., and Kuikka, S. 2008. Bayesian Belief Networks As A Meta-Modelling Tool In Integrated River Basin Management — Pros And Cons In Evaluating Nutrient Abatement Decisions Under Uncertainty In A Norwegian River Basin. Ecological Economics. 66: 91-104.

Bouma, J. A., Hegde, S. S., and Lasage, R. 2016. Assessing The Returns To Water Harvesting: A Meta-Analysis. Agricultural Water Management. 163: 100-109.

Keshtkar, A. R., Salajegheh, A., Sadodin, A. and Allan, M. G. 2013. Application of Bayesian Network for Sustainability Assessment in Catchment Modeling and Management (Case Study: The Hablehrood River Catchment). Ecological Modelling. 268: 48-54.

Brouwer, R., Hofkes, M. 2008. Integrated Hydro-Economic Modelling: Approaches, Key Issues And Future Research Directions. Ecological Economics. 66: 16-22.

Babel, M. S., Maporn, N, and Shide, V. R. 2014. Incorporationg Future Climatic and Socioeconomic Variable in Water Demand Forecasting: A Case Study in Bangkok. Water Resour Manage. 28: 2049-2062.

Volk, M., Hirschfeld, J., Dehnhardt, A., Schmidt, G., Bohn, C., Liershch, S. and Gassman, P. W. 2008. Intergrated Ecological-Economic Modelling Of Water Pollution Abatement Management Options In The Upper Ems River Basin. Ecological Economics. 66: 66-76.

Harou, J. J., M. Pulido-Velazquez, D. E. Rosenberg, J. Medellin-Azuara, J. R. Lund and R. E. Howitt. 2009. Hydroeconomic Models: Concept, Design, Application and Future Prospects. Journal of Hydrology. 375: 627-643.

Rosegrant, M., Cai, X. and Cline, S. 2002. World Water Food to 2025: Dealing with Scarcity. International Food Policy Research Institute (IFPRI), Washington DC. 338.

De Fraiture, C. 2007. Integrated Water And Food Analysis At The Global And Basin Level. An Application Of WATERSIM. Water Resource Management. 21: 185-198.

Maneta, M. P., Torres, M. O., Wallender, W. W., Vosti, S., Howitt, R., Rodrigues, L., Bassoi, L. H., and Panday, S. 2009. A Spatially Distributed Hydroeconomic Model To Assess The Effects Of Drought On Land Use, Farm Profits, And Agricultural Employment. Water Resource Research. 45: 1-19.

Ahrends, H., Mast, M., Rogers, C. and Kunstmann, H. 2008. Coupled Hydrological-Economic Modelling For Optimised Irrigated Cultivation In A Semi-Arid Catchment Of West Africa. Environmental Modelling & Software. 23: 1327-1337.

Jenkins, M. W., Lund, J., Howitt, R., Draper, A., Msangi, S., Tanaka, S., Ritzema, R. and Marques, G. 2004. Optimization of California’s Water Supply System: Results and Insights. Journal of Water Resources Planning and Management. 130: 271-280.

Qureshi, M., Qureshi, S., Bajracharya, K. and Kirby, M. 2008. Integrated Biophysical and Economic Modelling Framework to Assess Impacts of Alternative Groundwater Management Options. Water Resources Management. 22: 321-341.

Blanco-Gutiérrez, I., Vartega-Ortega, C. and Flichman, G. 2011. Cost-effectiveness Of Groundwater Conservation Measures: A Multi-Level Analysis With Policy Implications. Agricultural Water Management. 98: 639-652.

Yates, D., Sieber, J., Purkey, D. and Huber, A. L. 2005a. WEAP21: A Demand, Priority And Preferences Driven Water Planning Model: Part 1 Model Characteristics. Water International. 30: 487-500.

Yates, D., Sieber, J., Purkey, D., Huber, A. L. and Galbraith, H. 2005b. WEAP21: A Demand, Priority And Preferences Driven Water Planning Model: Part 2, Aiding Freshwater Ecosystem Service Evaluation. Water International. 30: 501-512.

Nash, J. E. and Sutcliffe, J. V. 1970. River Flow Forecasting Through Conceptual Models Part I – A Discussion Of Principles. Journal Hydrology. 10: 282-290.

Ali, M. F., Saadon, A., Abd Rahman, N. F. and Khalid, K. 2013. An Assessment of Water Demand in Malaysia Using Water Evaluation and Planning (WEAP) System. Paper presented in InCEIC 2013 International Civil and Infrastructure Engineering Conference. Kuching, Malaysia. 6-11.

Downloads

Published

2016-05-11

How to Cite

MODELING WATER SUPPLY AND DEMAND FOR EFFECTIVE WATER MANAGEMENT ALLOCATION IN SELANGOR. (2016). Jurnal Teknologi (Sciences & Engineering), 78(5-5). https://doi.org/10.11113/jt.v78.8569