Accesso libero

Optimization in Water Resources At Dry Weather Conditions Before and After the Dam Failure By Using Dummy Variable Regression Approach

INFORMAZIONI SU QUESTO ARTICOLO

Cita

Alok, K.P., 2014. Measuring Energy Intensity and Elasticity in India, A DummyVariablea Approach for Unit LevelHouseh. Jindal Journal of Business Research, 3(1&2), pp.77-92.10.1177/2278682116647602 Search in Google Scholar

Ashofteh, P.S., Rajaee, T., Golfam, P., 2017. Assessment of Water Resources Development Projects under Conditions of Climate Change Using Efficiency Indexes (EIs). Water Resour Manage, 31, pp.3723-3744.10.1007/s11269-017-1701-y Search in Google Scholar

Christer, N., Catherine, A., Reidy, M.D., 2005. Fragmentation and Flow Regulation of the World’s Large River Systems. Science, 308, pp.405-407.www.sciencemag.org (15 April 2005).10.1126/science.1107887 Search in Google Scholar

Christina, T.,Susan, R., 2016. Planning and implementing small dam removals: lessons learned from dam removals across the eastern United States. Water Resource Managment, 2, pp.489–493.10.1007/s40899-016-0062-7 Search in Google Scholar

Doorenbos, J., KASSAN, A. H.,1979. Yield response to water. Roma, FAO. 193p. Search in Google Scholar

English, M.J., NUSS, G.S., 1982. Designing for deficit irrigation.Journal of the Irrigation and Drainage Engineering, 08(02), pp91-106.10.1061/JRCEA4.0001386 Search in Google Scholar

English, M.J., NUSS, G.S., 1982. Designing for deficit irrigation.Journal of the Irrigation and Drainage Engineering, 08(02), pp91-106.10.1061/JRCEA4.0001386 Search in Google Scholar

Frizzone, R.D., Coelho, D., Dourado, N., 1997. Linear Programming Model to Optimize the Water Resource Use in. Irrigation Projects:an Application to the Senator Nilo Coelho. Sci agric Piracicaba, 54, pp.136-148.10.1590/S0103-90161997000300016 Search in Google Scholar

Ghahraman, B., Sepaskhah, A.R., 2004. Linear and Non linear optimization model for allocation of limited water supply.Irrig Darin Jornal, 53(3), pp39-34.10.1002/ird.108 Search in Google Scholar

Hargreaves, G.H., Samani, Z.A., 1984. Economics considerations on deficit irrigation.Journal of the Irrigation and Drainage Engineering,10(4), pp.343-258.10.1061/(ASCE)0733-9437(1984)110:4(343) Search in Google Scholar

Hasan, S., Mohammad, F.A., 2015. Linear Programming Model to Optimize Water Supply and Cropping Area for Irrigation A Case Study for Kalihati.Global Journal of Researches Engineering: G Industrial Engineering, 15 (2), PP.19-24. Search in Google Scholar

Hassani, N.,Yadollahi, P., Mortazavi, A., 2017. Farmers’ Perception of the Seriousness of the Declining Groundwater Volume and their Reactions to Mitigation of its undesirable Outcomes. Journal Management System, 10 (Issue 34), Page 1-10. Search in Google Scholar

HSPD., 2011. Estimating Economic Consequences for Dam Failure Scenarios. Homeland Security Presidential Directive (HSPD), USA, pp.1-45. Search in Google Scholar

Huai, Z.u., Jiang, H., Zhi, P.W., 2013. Optimizationof reinforcement strategies for dangerous dams considering time-averaged system failure probability and benefit–cost ratio using a life quality index. Natural Hazards, 65, PP.799–817.10.1007/s11069-012-0394-z Search in Google Scholar

Jonkman, S.N., Vrijling, J.K.,Vrouwenvelder, A., 2008. Methods for the estimation of loss of life due to floods: a literature review and a proposal for a new method. Natural Hazards, 3, PP.353–389.10.1007/s11069-008-9227-5 Search in Google Scholar

Kassahun, B.,Tena, A., Megersa, O., Dinka, S., 2014. Optimizing Reservoir Operation Policy Using Chance Constraint Nonlinear Programming for Koga Irrigation Dam, Ethiopia. Water Resour. Manag, 28, PP.4957–4961.10.1007/s11269-014-0770-4 Search in Google Scholar

Kumar, D.N., Raju, K.S., Ashok, B., 2012. Optimalreservoir operation for irrigation of multiple crops using genetic algorithms. ASCE J Irrig Drain Eng, 132(2), pp.123-129.10.1061/(ASCE)0733-9437(2006)132:2(123) Search in Google Scholar

Michael, L. D., Gary, H.M., 1992. Predicting Loss of Life in Cases of Dam Failure and Flash flood. RiskAnalysk, 13(2),PP193-204.10.1111/j.1539-6924.1993.tb01069.x Search in Google Scholar

Palacios,V. H., 1976. Strategies to improve water management in Mexican irrigation districts: A case study in Sonora. Tucson, 197p. Thesis (Ph.D.) the University of Arizona,USA. Search in Google Scholar

Rao, S.S., 1984. Optimization Theory and Application Second edition. John Wiley and Sons, IEEE,PP1247-1248. Search in Google Scholar

The American Statistician, 2012. Use of Dummy Variables in Testing for Equality Between Sets of Coefficients in linear Regressions: A Generalization. The American Statistician City University of New York, New York, USA. Regressions: A Generalization. The American Statistician City University of New York, New York, USA. Search in Google Scholar

Yavary, G.R., Sashvary, N., 2005. Determining surface and subsurface water productivity in the agriculture sector of Iran. Agriculture Economy &development, 76, pp.167-181. Search in Google Scholar

U.S.Water Resources Council, 2012. Economic and Environmental Principles and Guidelines for Water and Related Land Resources Implementation Studies, U.S. Government Printing Office, Washington, USA. Search in Google Scholar

eISSN:
2284-7197
Lingua:
Inglese
Frequenza di pubblicazione:
2 volte all'anno
Argomenti della rivista:
Engineering, Introductions and Overviews, other, Electrical Engineering, Energy Engineering, Geosciences, Geodesy