Feasibility study of Zarghan wetland reviving regarding regional development of Zarghan urban area
Subject Areas : Regional PlanningMohammad Hadi fattahi 1 , Mohammad Hoseini 2 , sara Rahmati 3
1 - 1. Department of Civil Engineering, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran
2 - Department of Civil Engineering, Meymand Center, Islamic Azad University, Meymand, Iran
3 - Department of Civil Engineering, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran
Keywords: Drought, Nash model, wetland, Surface flow, sewage effluent,
Abstract :
The process of regional development, relying on its natural and environmental potentials, is a big step towards sustainable development. Finding places that have the capacity to create nuclei of economic and social prosperity in the region is the first step in development. Wetlands are one of the strategic natural resources of the regions in creating positive developments in agriculture, animal husbandry and tourism, many of which, unfortunately, have been destroyed due to drought or human misconduct. An important part of the dryness of wetlands is due to the lack of water rights for wetlands and also the uncontrolled extraction of surface and groundwater resources of the wetland catchment. The purpose of this study is to study the possibility of rehabilitating Zarghan wetland by using surface flow and sewage effluent in Zarghan and its suburbs for regional development. Considering the three sectors of drinking, industry and agriculture in the region, the Nash dispute resolution model has been used for the allocation decision-making process. The results of the simulation-optimization model of Zarghan Wetland and Forest, as expected, showed that in the current situation, the upstream consumer of Zarghan Wetland and Forest provides its water needs at a lower cost, and in the months of water shortage with a shortage. There will be less water, but in general for the entire Zarghan plain, due to the amount of surface and groundwater abstraction, which is 1.82 mcm and 1.32 mcm per year, respectively, the water needs of the wetland will not be met and with a shortage of 86 mcm / 1 per year. The results of simulation-optimization and Nash model showed that the system is facing many water shortages and therefore it is not possible to rehabilitate the wetland stably with the current conditions.
Adami Ch, Schossau J, & Hintze A (2016) Evolutionary game theory using agent-based methods. Physics of Life Reviews 19(1): 1-26
Akbari N, Niksokhan M, & Ardestani M (2015) Optimization of water allocation using cooperative game theory case study: Zayandehrud basin. Journal of Environmental Studies 40(4): 875-889 (In Persian)
Ayoubikia R, Janatrostami S, Ashrafzadeh A, & Shafiei B (2018) Optimization of regional water resources allocation in sefidroud river basin by social equity approach. Journal of Iran-Water Resources Research 14(5): 236-252 (In Persian)
Chizari A H, & Keramatzadeh A (2006) Water resources management with optimal allocation among different sub-region of dam, (a case study of shirvan barzo dam). Pajouhesh and Sazandegi 18(4): 40-52 (In Persian)
Eskandari H, Noroozi H, Khosravi H, Rafiee H, & Taheri R (2015) Feasibility of implementing "low-crop planting" in order to restore jazmoryan wetland, case study: Jiroft county. Rural Development Strategies 2(3): 287-297 (In Persian)
Guan Z, Zhu H, & Wei X (2015) Information effect on farmers willingness to participaite in wetlands restoration: the case of china Poyang lake wetlands restoration program. AAEA and WAEA joint annal meeting, July 26-28, 2015, San Francisco, California
Hoshyar G (2013) Conservation strategies and rehabilitation of wetlands in arid and semi-arid regions of Iran. The First National Conference on Planning, Conservation, Environmental Protection and Sustainable Development (PCEPSD01), 1 May, Shahid Mofateh University, 52-60 (In Persian)
Kazemi P, & Araghinejad S (2015) Using the prey-predator equation for the water allocation problem and its comparison with conventional water allocation methods, a case study of the Atrak river basin. Journal of Water and Wastewater 26(5): 3-13 (In Persian)
Khani M, Karimi M, & Gomrokchi A (2017) optimization of water allocation between different crops in water stress conditions in Qazvin irrigation network. Water and Soil 31(1): 1-10 (In Persian)
Kheirkhah A S, Esmailzadeh A, & Ghazinoory S (2009) Developing strategies to reduce the risk of hazardous materials transportation in Iran using the method of fuzzy SWOT analysis. Transport 24(4): 325–332
Li W, Liu J, & Li D (2012) Getting their voive heard: three case of public participation in environmental protection in china. Journal of Environmental Management 98(1): 65-72
Mirzaei A, & Zibaei M (2019) Estimating the economic benefits of jazmourian wetland restoration and preservation programs. Journal of Agricultural Economic Research 11(1): 53-80 (In Persian)
Moghddasi M, Morid S, & Araghnejad SH (2009) Optimization of water allocation during water scarcity condition using non-linear programming, genetic algorithm and particle swarm optimization (case study). Journal of Iran-Water Resources Research 4(3): 1-13 (In Persian)
Mohamadi M, Choobkar N, Rezaie M, & Kakoolki S (2018) Rehabilitation of shadegan lagoon, aquaculture opportunity and dust inhibiting with khuzestan sugarcan industry drainage. Aquatic Exploitation and Breeding 7(4): 29-40 (In Persian)
Nikouei A., Zibaei M, & Ward F (2012) Incentetivd to adopt irrigation water saving measures for wetlands preserving: an integrated basin scale analysis. Journal of Hydrology, 464-465: 216-232
Niksokhan M, Tayefeh M, & Alimohammadi M (2018) Optimum water allocation considering prority of stackeholders in Qom province. Quarterly of Geogrphy (Regional Planning) 8(2): 297-312 (In Persian)
Obedavi M, Abyat A, & Ghafeli M (2013) Effect of sugarcane effluent on water pollution of Karun river. The First International Conference on Environmental Engineering (EICONF01), 9 July, Theran, 89-95 (In Persian)
Ordoo S, & Ofie F (2014) Environmental assessment of lake - Parishan international wetland (Fars Province) based on SWOT management analysis model. Scientific Journal Management System 8(1): 29-36 (In Persian)
Ramsar Convention Secretariat (2013) The Ramsar convention manual: a guide to the convention on wetlands (Ramsar, Iran, 1971)”, 6th ed. Ramsar Convention Secretariat, Gland, Switzerland, 78 p
Ritzema H, Froebrich J, Raju R, Sreenivas Ch, & Kselik R (2010) Using participatory modeling to compensate for data scarcity in environmental planning: a case study from India. Environmental Modeling and Software 25: 1450-1458
Rizaldi M A, & Limantara L M (2018) Wetland as revitalization pond at urban area based on the eco hydrology concept. International Journal of Engineering & Technology 7(3): 143-148
Saaty T L (1980) The analytic hierarchy process. McGraw Hill, New York, p 287
Santos N, & Laczniak, G (2015) Marketing to the poor: a SWOT analysis of the market construction model for engaging impoverished market segment. Social Business 5(1): 95-111
Sharieifnia R, Atashkhar F, Nafchi R, & Ashkani N (2015) Socio-economic study of gandeman wetland stakeholders and their willingness to participate in wetland rehabilitation. The Second International Conference on Wetland Management and Engineering (WETLANDC02), 26 oct, environment College, karaj, 115-125 (In Persian)
Sugumaran R, Harken J, & Gerjevic J (2004) Using remote sensing data to study wetland dynamics in Iowa. Iowa Space Grant (Seed) Final Technical Report 23(1):1-17
Taheri R, Eskandari H, Faryadras V, & Shaabanzadeh M (2017) Factors affecting the rural participation in the plan of laying agricultural lands farrow to restore jazmoryan wetland of Iran. Village and Development 20(2): 23-46 (In Persian)
Tarazkar M, Zibaye M, & Soltani, GH (2016) Identification and ranking of reviving strategies for bakhteganwetland using fuzzy-TOPSIS. Journal of Wetland Ecobiology 8(1): 23-39 (In Persian)
Zhou D, Yu J, Guan B, Li Y, Yu M, Qu F, Zhan C, Lv Z, Wu H, Wang Q, & Yangn J (2020) A comparison of the development of wetland restoration techniques in china and other nations. Wetlands 41(1): 41-51
Shi X, Jovanovic D, Zhang K, Meng Z, & Mccarthy D (2022) Modelling and real time control of pathogen dynamics in a stormwater constructed wetland. 12th Urban Drainage Modeling Conference, California.
Wang R, Xu L, Xu X, Xu Z, & Cong X (2021) Simulation and optimization of hydraulic performance of small baffled subsurface flow constructed wetland. Water Sci Technol, 84 (3): 632–643.
Peltola O, Vesala T, Gao Y, Raty O, & Friborg T (2019) Monthly gridded data product of northern wetland methane emissions based on upscaling eddy covariance observations. Earth System Science Data. 11(3): 1263-1289
Evenson G, Jones N, Mclaughlin D, Golden H, Lane C, & Alexander L (2018) A watershed-scale model for depressional wetland-rich landscapes. Journal of Hydrology X. 5(1): 15-24
Makungu E, & Hughes D. (2021) Understanding and modelling the effects of wetland on the hydrology and water resources of large African river basins. Journal of Hydrology. 603(1): 45-53
Merriman L, Hathaway J, Burchell M, & Hunt W. (2017) Adapting the Relaxed Tanks-in-Series Model for Stormwater Wetland Water Quality Performance. Water 9(1): 691-718
_||_