Water and Irrigation Management

Water and Irrigation Management

Basin’s Water Resource Carrying Capacity Assessment in Climate Change Conditions Using Simulation-Optimization Approach; Case Study: Tashk-Bakhtegan basin

Document Type : Research Paper

Authors
Hamid Abbasi 1
Majid Delavar 2
Hamid Mohammadi Sedaran 3
1 M.Sc. Graduate, Department of Water Resources Engineering and Management, Tarbiat Modares University, Tehran, Iran.
2 Associate Professor, Department of Water Resources Engineering and Management, Tarbiat Modares University, Tehran, Iran.
3 . M.Sc. Student, Department of Water Resources Engineering and Management, Tarbiat Modares University, Tehran, Iran
10.22059/jwim.2022.330638.925
Abstract
Water resources carrying capacity (WRCC) is a major component of resource and environmental studies and it is a management concept aimed at supporting sustainable socioeconomic development on a regional scale and catchment areas. Failure to pay attention to concepts such as the carrying capacity in the country's planning has led to the ineffectiveness of most programs. For this purpose, in the present study, it has been tried to use the simulation-optimization approach to determine the water resources carrying capacity in a pilot basin (Tashk-Bakhtegan Basin), considering the economic, environmental and Water resources in the historical periods (1985-2014) and terms of climate change (2045-2015) should be considered. In this regard, the Water and Soil Assessment Tool (SWAT) and the Genetic Algorithm are used. For this purpose, the outputs of three general circulation atmosphere models under RCP 2.6, 4.5, 8.5 scenarios have been used to assess climate change in this study. The results of the study indicate overloading of water resources due to increased crop area in all studied periods. Also, the water resources carrying capacity due to climate fluctuations and climate change in the examined period (1985 - 2045) has been declining, and from 2.6 billion cubic meters in the period (1985-2006) to 1.9 billion cubic meters. The most pessimistic climatic conditions are reduced.
Keywords
Genetic algorithm
SWAT model
Tashk-Bakhtegan basin
Water resources carrying capacity
Subjects
  1. Aguilar, P., Mendoza, E., & Silva, R. (2021). Interaction between Tourism Carrying Capacity and Coastal Squeeze in Mazatlan, Mexico. Land, 10(9), 900.‏
  2. Arnold, J. G., Srinivasan, R., Muttiah, R. S., & Williams, J. R. (1998). Large area hydrologic modeling and assessment part I: model development 1. JAWRA Journal of the American Water Resources Association, 34(1), 73-89.‏
  3. Bao, H., Wang, C., Han, L., Wu, S., Lou, L., Xu, B., & Liu, Y. (2020). Resources and environmental pressure, carrying capacity, and governance: A case study of Yangtze river economic belt. Sustainability, 12(4), 1576.‏
  4. Cao, X., Shi, Y., Zhou, L., Tao, T., & Yang, Q. (2021). Analysis of Factors Influencing the Urban Carrying Capacity of the Shanghai Metropolis Based on a Multiscale Geographically Weighted Regression (MGWR) Model. Land, 10(6), 578.‏
  5. Chi, M., Zhang, D., Fan, G., Zhang, W., & Liu, H. (2019). Prediction of water resource carrying capacity by the analytic hierarchy process-fuzzy discrimination method in a mining area. Ecological Indicators, 96, 647-655.‏
  6. Del Monte‐Luna, P., Brook, B. W., Zetina‐Rejón, M. J., & Cruz‐Escalona, V. H. (2004). The carrying capacity of ecosystems. Global ecology and biogeography, 13(6), 485-495.‏
  7. Delavar, M., Morid, S., Morid, R., Farokhnia, A., Babaeian, F., Srinivasan, R., & Karimi, P. (2020). Basin-wide water accounting based on modified SWAT model and WA+ framework for better policy making. Journal of Hydrology, 585, 124762.‏
  8. Dou, M., Ma, J. X., Li, G. Q., & Zuo, Q. T. (2015). Measurement and assessment of water resources carrying capacity in Henan Province, China. Water Science and Engineering, 8(2), 102-113.‏
  9. Feng, L. H., & Huang, C. F. (2008). A risk assessment model of water shortage based on information diffusion technology and its application in analyzing carrying capacity of water resources. Water resources management, 22(5), 621.‏
  10. Ghotbizadeh, M., Bagheri, A., & Abbasi, E. (2018). Assessment of local organizations’ institutional adaptive capacity to water scarcity in Tashk-Bakhtegan Basin. Iran-Water Resources Research, 14(4), 25-31.
  11. Hoekstra, A. Y., Chapagain, A. K., Mekonnen, M. M., & Aldaya, M. M. (2011). The water footprint assessment manual: Setting the global standard. Routledge.
  12. Holland, J. H. (1992). Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence. MIT press.‏
  13. Hou, G. Y., & Tang, D. S. (2014). Fuzzy comprehensive evaluation of water resources carrying capacity based on vague method. In Applied Mechanics and Materials(Vol. 501, 2040-2044). Trans Tech Publications Ltd.‏
  14. Kang, J., Zi, X., Wang, S., & He, L. (2019). Evaluation and optimization of agricultural water resources carrying capacity in Haihe river basin, China. Water, 11(5), 999.‏
  15. Ketabchi, H., & Ataie-Ashtiani, B. (2015). Evolutionary algorithms for the optimal management of coastal groundwater: a comparative study toward future challenges. Journal of Hydrology, 520, 193-213.‏
  16. Li, K., Jin, X., Ma, D., & Jiang, P. (2019). Evaluation of resource and environmental carrying capacity of China’s rapid-urbanization areas-a case study of Xinbei district, Changzhou. Land, 8(4), 69.‏
  17. Liao, X., Ren, Y., Shen, L., Shu, T., He, H., & Wang, J. (2020). A “carrier-load” perspective method for investigating regional water resource carrying capacity. Journal of Cleaner Production, 269, 122043.‏
  18. Luo, X., Wang, G., Mou, Y., Liu, R., Zhou, H., Si, H., & Chen, Q. (2017). The Analysis of the Water Resource Carrying Capacity in the Shale and Gas Exploration Area, Southwest China Karst Region‒A Case Study from Cenggong County. The Open Civil Engineering Journal, 11(1), 1-12.‏
  19. Ma, P., Ye, G., Peng, X., Liu, J., Qi, J., & Jia, S. (2017). Development of an index system for evaluation of ecological carrying capacity of marine ecosystems. Ocean & Coastal Management, 144, 23-30.‏
  20. Massah, A., Morid, M., & Delavar, M. (2016). Assessment of climate change ipmacts on hydrological condition of Tashk–Bakhtegan Basin. Technical Report, Ministry of Rnergy, Iran (in Persian).
  21. Mohammadi sedaran, H., Delavar, M., & Shahbazbegian, M. R. (2021). Assessment of Water Resources Carrying Capacity of the River Basins Using the Simulation Approach and Index-Based Evaluation Method; Case Study: Zarrineh-Roud Basin. Iran-Water Resources Research, 17(2), 154-173.
  22. Moriasi, D. N., Arnold, J. G., Van Liew, M. W., Bingner, R. L., Harmel, R. D., & Veith, T. L. (2007). Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the ASABE, 50(3), 885-900.‏
  23. Nicklow, J., Reed, P., Savic, D., Dessalegne, T., Harrell, L., Chan-Hilton, A., ... & ASCE Task Committee on Evolutionary Computation in Environmental and Water Resources Engineering. (2010). State of the art for genetic algorithms and beyond in water resources planning and management. Journal of Water Resources Planning and Management, 136(4), 412-432.‏
  24. Nogueira, M. (2019). The sensitivity of the atmospheric branch of the global water cycle to temperature fluctuations at synoptic to decadal time-scales in different satellite-and model-based products. Climate Dynamics, 52(1), 617-636.‏
  25. Pellicer-Martínez, F., & Martínez-Paz, J. M. (2016). The Water Footprint as an indicator of environmental sustainability in water use at the river basin level. Science of the Total Environment, 571, 561-574.
  26. Pellicer-Martínez, F., & Martínez-Paz, J. M. (2018). Probabilistic evaluation of the water footprint of a river basin: Accounting method and case study in the Segura River Basin, Spain. Science of the Total Environment, 627, 28-38.
  27. Ren, C., Guo, P., Li, M., & Li, R. (2016). An innovative method for water resources carrying capacity research–metabolic theory of regional water resources. Journal of environmental management, 167, 139-146.‏
  28. Song, X. M., Kong, F. Z., & Zhan, C. S. (2011). Assessment of water resources carrying capacity in Tianjin city of China. Water Resources Management, 25(3), 857-873.
  29. Sun, B., & Yang, X. (2019). Simulation of Water Resources Carrying Capacity in Xiong’an New Area Based on System Dynamics Model. Water, 11(5), 1085.‏
  30. Tukimat, N. N. A., & Harun, S. (2019). Comparative study on the reservoir operation planning with the climate change adaptation. SN Applied Sciences, 1(11), 1-11.‏
  31. Van Vuuren, D. P., Stehfest, E., den Elzen, M. G., Kram, T., van Vliet, J., Deetman, S., ... & van Ruijven, B. (2011). RCP2. 6: exploring the possibility to keep global mean temperature increase below 2 C. Climatic change, 109(1), 95-116.‏
  32. Wang, C., Hou, Y., & Xue, Y. (2017). Water resources carrying capacity of wetlands in Beijing: Analysis of policy optimization for urban wetland water resources management. Journal of Cleaner Production, 161, 1180-1191.‏
  33. Wang, J., Ren, Y., Shen, L., Liu, Z., Wu, Y., & Shi, F. (2020). A novel evaluation method for urban infrastructures carrying capacity. Cities, 105, 102846.‏
  34. Wang, Z. (2018). Land spatial development based on carrying capacity, land development potential, and efficiency of urban agglomerations in China. Sustainability, 10(12), 4701.‏
  35. Wilby, R. L., & Harris, I. (2006). A framework for assessing uncertainties in climate change impacts: Low‐flow scenarios for the River Thames, UK.Water resources research, 42(2), 1-12.‏
  36. Wu, F., Zhuang, Z., Liu, H. L., & Shiau, Y. C. (2021). Evaluation of Water Resources Carrying Capacity Using Principal Component Analysis: An Empirical Study in Huai’an, Jiangsu, China. Water, 13(18), 2587.‏
  37. Wu, X., & Hu, F. (2020). Analysis of ecological carrying capacity using a fuzzy comprehensive evaluation method. Ecological Indicators, 113, 106243.‏
  38. Yang, J., Lei, K., Khu, S., & Meng, W. (2015). Assessment of water resources carrying capacity for sustainable development based on a system dynamics model: a case study of Tieling City, China. Water Resources Management, 29(3), 885-899.‏
  39. Yang, S., & Yang, T. (2021). Exploration of the dynamic water resource carrying capacity of the Keriya River Basin on the southern margin of the Taklimakan Desert, China. Regional Sustainability, 2(1), 73-82.‏
  40. Yang, X. H., Sun, B. Y., Zhang, J., Li, M. S., He, J., Wei, Y. M., & Li, Y. Q. (2016). Hierarchy evaluation of water resources vulnerability under climate change in Beijing, China. Natural Hazards, 84(1), 63-76.‏
  41. Yu, X., Xie, J., Jiang, R., Zuo, G., & Liang, J. (2020). Assessment of water resource carrying capacity based on the chicken swarm optimization-projection pursuit model. Arabian Journal of Geosciences, 13(1), 1-14.‏
  42. Zhao, Y., Wang, Y., & Wang, Y. (2021). Comprehensive evaluation and influencing factors of urban agglomeration water resources carrying capacity. Journal of Cleaner Production, 288, 125097.‏
  43. Zhou, W., Elshkaki, A., Zhong, S., & Shen, L. (2021). Study on Relative Carrying Capacity of Land Resources and Its Zoning in 31 Provinces of China. Sustainability, 13(3), 1459.‏
  44. Zhu, M., Shen, L., Tam, V. W., Liu, Z., Shu, T., & Luo, W. (2020). A load-carrier perspective examination on the change of ecological environment carrying capacity during urbanization process in China. Science of the Total Environment, 714, 136843.‏
  45. Zou, H., & Ma, X. (2021). Identifying resource and environmental carrying capacity in the Yangtze River Economic Belt, China: the perspectives of spatial differences and sustainable development. Environment, Development and Sustainability, 23, 14775-14798.
Water and Irrigation Management
Volume 11, Issue 4
Winter 2022
Pages 797-814