Araştırma Makalesi
BibTex RIS Kaynak Göster

Optimum Water Resources Allocation by Artificial Immune Systems

Yıl 2021, Cilt: 1 Sayı: 2, 75 - 82, 15.01.2021

Öz

This study proposes an optimization model using Artificial Immune Systems (AIS) for allocation of water resources among different sectors such as agriculture, industry, livestock production, drinking and environmental water demands, energy, tourism, mining, aquaculture and commercial water. The modified Clonal Selection Algorithm (modified Clonalg) which is a class of AIS, was used in the study. An objective function of the model was based on both maximum benefit (income) and maximum water satisfaction of the sectors. The model was implemented to a scenario including the mentioned sectors for testing its performance. The results demonstrated that the model is applicable for the water resources allocation.

Kaynakça

  • Babel MS, Das Gupta A, Nayak DK. (2005) “A Model for Optimal Allocation of Water to Competing Demands”. Water Resources Management, 19, 693–712.
  • Das B, Singh A, Panda SN, Yasuda H. (2015) “Optimal land and water resources allocation policies for sustainable irrigated agriculture”. Land Use Policy, 42, 527-537.
  • De Castro LN, Von Zuben FJ. (2002) “Learning and optimization using the clonal selection principle”. IEEE Transactions on Evolutionary Computation, 6(3), 239–251.
  • Eryiğit M. (2015) “Cost optimization of water distribution networks by using artificial immune systems”. Journal of Water Supply: Research and Technology-AQUA, 64(1), 47-63.
  • Letcher RA, Croke BFW, Jakeman AJ. (2007) “Integrated assessment modelling for water resource allocation and management: A generalised conceptual framework”. Environmental Modelling & Software, 22, 733-742.
  • Li YP, Huang GH, Huang YF, Zhou HD. (2009) “A multistage fuzzy-stochastic programming model for supporting sustainable water-resources allocation and management”. Environmental Modelling & Software, 24, 786–797.
  • Li X, Huo Z, Xu B. (2017) “Optimal Allocation Method of Irrigation Water from River and Lake by Considering the Field Water Cycle Process”. Water, 9(12), 911.
  • Li M, Fu Q, Singh VP, Liu D. (2018) “An interval multi-objective programming model for irrigation water allocation under uncertainty”. Agricultural Water Management, 196, 24-36.
  • Messner F, Zwirner O, Karkuschke M. (2006) “Participation in multi-criteria decision support for the resolution of a water allocation problem in the Spree River basin”. Land Use Policy, 23, 63–75.
  • Nguyen DCH, Dandy GC, Maier, HR, Ascough JC. (2016) “Improved Ant Colony Optimization for Optimal Crop and Irrigation Water Allocation by Incorporating Domain Knowledge”. Journal of Water Resources Planning and Management, 142(9).
  • Nikoo MR, Kerachian R, Karimi A, Azadnia AA, Jafarzadegan K. (2014) “Optimal water and waste load allocation in reservoir–river systems: a case study”. Environmental Earth Sciences, 71(9), 4127-4142.
  • Perera BJC, James B, Kularathna MD. (2005) “Computer software tool REALM for sustainable water allocation and management”. Journal of Environmental Management, 77(4), 291–300.
  • Roozbahani R, Schreider S, Abbasi B. (2015) “Optimal water allocation through a multi-objective compromise between environmental, social, and economic preferences”. Environmental Modelling & Software, 64, 18-30.
  • Sethi LN, Panda SN, Nayak MK. (2006) “Optimal crop planning and water resources allocation in a coastal groundwater basin, Orissa, India”. Agricultural Water Management, 83, 209-220.
  • Shangguan Z, Shao M, Horton R, Lei T, Qin L, Ma J. (2002) “A model for regional optimal allocation of irrigation water resources under deficit irrigation and its applications”. Agricultural Water Manangement, 52, 139-154.
  • Shiklomanov I. (1993) Water in Crisis: A Guide to the World’s Fresh Water Resources. New York, USA, Oxford University Press.
  • Wang LZ, Fang L, Hipel KW. (2003) “Water Resources Allocation: A Cooperative Game Theoretic Approach”. Journal of Environmental Informatics, 2(2), 11-22.
  • Zhang F, Tan Q, Zhang C, Guo S, Guo P. (2017) “A Regional Water Optimal Allocation Model Based on the Cobb-Douglas Production Function under Multiple Uncertainties”. Water, 9(12), 923.
Yıl 2021, Cilt: 1 Sayı: 2, 75 - 82, 15.01.2021

Öz

Kaynakça

  • Babel MS, Das Gupta A, Nayak DK. (2005) “A Model for Optimal Allocation of Water to Competing Demands”. Water Resources Management, 19, 693–712.
  • Das B, Singh A, Panda SN, Yasuda H. (2015) “Optimal land and water resources allocation policies for sustainable irrigated agriculture”. Land Use Policy, 42, 527-537.
  • De Castro LN, Von Zuben FJ. (2002) “Learning and optimization using the clonal selection principle”. IEEE Transactions on Evolutionary Computation, 6(3), 239–251.
  • Eryiğit M. (2015) “Cost optimization of water distribution networks by using artificial immune systems”. Journal of Water Supply: Research and Technology-AQUA, 64(1), 47-63.
  • Letcher RA, Croke BFW, Jakeman AJ. (2007) “Integrated assessment modelling for water resource allocation and management: A generalised conceptual framework”. Environmental Modelling & Software, 22, 733-742.
  • Li YP, Huang GH, Huang YF, Zhou HD. (2009) “A multistage fuzzy-stochastic programming model for supporting sustainable water-resources allocation and management”. Environmental Modelling & Software, 24, 786–797.
  • Li X, Huo Z, Xu B. (2017) “Optimal Allocation Method of Irrigation Water from River and Lake by Considering the Field Water Cycle Process”. Water, 9(12), 911.
  • Li M, Fu Q, Singh VP, Liu D. (2018) “An interval multi-objective programming model for irrigation water allocation under uncertainty”. Agricultural Water Management, 196, 24-36.
  • Messner F, Zwirner O, Karkuschke M. (2006) “Participation in multi-criteria decision support for the resolution of a water allocation problem in the Spree River basin”. Land Use Policy, 23, 63–75.
  • Nguyen DCH, Dandy GC, Maier, HR, Ascough JC. (2016) “Improved Ant Colony Optimization for Optimal Crop and Irrigation Water Allocation by Incorporating Domain Knowledge”. Journal of Water Resources Planning and Management, 142(9).
  • Nikoo MR, Kerachian R, Karimi A, Azadnia AA, Jafarzadegan K. (2014) “Optimal water and waste load allocation in reservoir–river systems: a case study”. Environmental Earth Sciences, 71(9), 4127-4142.
  • Perera BJC, James B, Kularathna MD. (2005) “Computer software tool REALM for sustainable water allocation and management”. Journal of Environmental Management, 77(4), 291–300.
  • Roozbahani R, Schreider S, Abbasi B. (2015) “Optimal water allocation through a multi-objective compromise between environmental, social, and economic preferences”. Environmental Modelling & Software, 64, 18-30.
  • Sethi LN, Panda SN, Nayak MK. (2006) “Optimal crop planning and water resources allocation in a coastal groundwater basin, Orissa, India”. Agricultural Water Management, 83, 209-220.
  • Shangguan Z, Shao M, Horton R, Lei T, Qin L, Ma J. (2002) “A model for regional optimal allocation of irrigation water resources under deficit irrigation and its applications”. Agricultural Water Manangement, 52, 139-154.
  • Shiklomanov I. (1993) Water in Crisis: A Guide to the World’s Fresh Water Resources. New York, USA, Oxford University Press.
  • Wang LZ, Fang L, Hipel KW. (2003) “Water Resources Allocation: A Cooperative Game Theoretic Approach”. Journal of Environmental Informatics, 2(2), 11-22.
  • Zhang F, Tan Q, Zhang C, Guo S, Guo P. (2017) “A Regional Water Optimal Allocation Model Based on the Cobb-Douglas Production Function under Multiple Uncertainties”. Water, 9(12), 923.
Toplam 18 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Research Articles
Yazarlar

Mirac Eryiğit

Nusret Karakaya

Yayımlanma Tarihi 15 Ocak 2021
Yayımlandığı Sayı Yıl 2021 Cilt: 1 Sayı: 2

Kaynak Göster

MLA Eryiğit, Mirac ve Nusret Karakaya. “Optimum Water Resources Allocation by Artificial Immune Systems”. International Journal of Water Management and Diplomacy, c. 1, sy. 2, 2021, ss. 75-82.


2(6).png

100(5).png