تأثیر تغییر الگوی کشت و بهبود راندمان سیستم های آبیاری بر کاهش برداشت از منابع آب زیرزمینی تحت سناریوهای تغییر اقلیم (مطالعه موردی: دشت کوار)

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکترای گروه علوم و مهندسی آب، دانشکده کشاورزی، دانشگاه صنعتی اصفهان.

2 استاد گروه علوم و مهندسی آب، دانشکده کشاورزی، دانشگاه صنعتی اصفهان

3 استاد گروه علوم ومهندسی آب، دانشکده کشاورزی، دانشگاه صنعتی اصفهان.

4 استادیار گروه علوم و مهندسی آب، دانشکده کشاورزی، دانشگاه صنعتی اصفهان.

چکیده

کمبود شدید منابع آب سطحی و زیرزمینی مهم­ترین محدودیت توسعه پایدار کشاورزی در مناطق خشک و نیمه خشک می­ باشد. در مطالعه حاضر به بررسی شناخت تأثیرات توسعه سیستم­ های آبیاری و تغییر الگوی کشت روی نیاز آبیاری در شرایط تغییر اقلیم پرداخته شده است. برای شبیه ­سازی پارامترهای اقلیمی در آینده و میزان تأثیر آن ­ها روی نیاز آبیاری از سناریوهای انتشار RCP2.6، RCP4.5 و RCP8.5 گزارش پنجم تغییر اقلیم استفاده گردید. هم­چنین برای بررسی هم­زمان اثر بهبود راندمان آبیاری، تغییر اقلیم و تغییر الگوی کشت روی نیاز ناخالص آبیاری؛ ابتدا تغییرات الگوی کشت و سیستم ­های آبیاری دشت کوار در طی یک دهه مورد ارزیابی قرار گرفت، سپس سناریوهای مدیریتی مختلفی برای کاهش برداشت از آبخوان تعریف گردید. نتایج پیش­بینی پارامترهای اقلیمی بیانگر آن است که در هر سه سناریوی انتشار، دما افزایش و بارندگی کاهش می­ یابد. بر همین اساس میزان افزایش نیاز ناخالص آبیاری برای گیاهان مختلف تحت سناریو RCP2.6 بین چهار تا هشت درصد؛ تحت سناریو RCP4.5 بین شش تا 13و تحت سناریو RCP8.5 بین هشت تا 18 درصد پیش­بینی ­گردید. هم­چنین بررسی سطوح الگوی کشت دشت کوار در دهه اخیر نشان داد که افزایش راندمان آبیاری در منطقه موجب افزایش 10 درصدی سطح زیرکشت شده و عدم کاهش برداشت آب از آبخوان را به دنبال داشته است. نتایج اعمال سناریوهای آبیاری مختلف نشان داد با طراحی و تنظیم الگوی کشت و بهبود راندمان ­­های آبیاری سطحی و تحت فشار می­ توان در شرایط خشک و نرمال بین 21 تا 40 درصد، برداشت از منابع آب زیر زمینی دشت را کاهش داد.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

The effect of changing the cultivation pattern and improving the efficiency of irrigation systems on reducing the withdrawal of groundwater resources under climate change scenarios (Case study: Kavar Plain)

نویسندگان [English]

  • Mohammad Kazem Shaabani 1
  • Jahangir Abedi Koupai 2
  • S. Saeid Eslamian 3
  • Alireza Gohari 4
1 Ph.D. Student, Department of Water Science and Engineering, College of Agriculture, Isfahan University of Technology, Isfahan, Iran.
2 Professor, Department of Water Science and Engineering, College of Agriculture, Isfahan University of Technology, Isfahan, Iran.(
3 Professor, Department of Water Science and Engineering, College of Agriculture, Isfahan University of Technology, Isfahan, Iran.
4 Assistant Professor, Department of Water Science and Engineering, College of Agriculture, Isfahan University of Technology, Isfahan, Iran.
چکیده [English]

The Severe shortage of surface and groundwater resources is the most important constraint on sustainable agricultural development in arid and semi-arid regions. Frequent droughts in recent decades have also led to a significant drop in groundwater levels due to uncontrolled abstraction. In the present study, different irrigation scenarios are provided to reduce the withdrawal of water from the aquifer of Kavar plain in Fars province. The results of various studies show that due to climate change, water resources are reduced and irrigation requirements of plants will be increased during the growing season (Goodarzi et al., 2015; Zeinoddini et al., 2019). In this study, to simulate future climate parameters, the outputs of AOGCMs models and emission scenarios RCP2.6, RCP4.5, and RCP8.5 of the Fifth Climate Change Report were used (IPCC,2014). Then irrigation requirements of the study area were calculated by Cropwat software considering the cultivation pattern for the future period. Finally, by defining irrigation scenarios, the simultaneous effects of climate change and cultivation pattern change in the development of irrigation systems (surface and pressurized) on groundwater resources were evaluated.

کلیدواژه‌ها [English]

  • Irrigation Requirement
  • Prediction
  • Temperature
  • Rainfall
  • Irrigation scenarios

مراجع

1- Abbasi, F., Sohrab, F. and Abbasi, N., 2017. Evaluation of Irrigation Efficiencies in Iran. Irrigation and Drainage Structures Engineering Research, 17(67), pp.113-128. (In Persian).
 
2- Abbasi, H., Delavar, M. and Bigdeli Naalbanda, R., 2020. Evaluation of the effects of climate change on water resource sustainability in basins using water footprint scarcity indicators. Iran-Water Resources Research, 15(4), pp.252-279. (In Persian).
 
3- Alizadeh, A., Sayari, N., Hesami Kermani, M.R., Bannayan Aval, M. and Farid Hossaini, A., 2010. Assessment of Climate Change Potential Impacts on Agricultural Water Use and Water Resources of Kashaf rood basin. Journal of Water and Soil, 24(4), pp. 815-835. (In Persian).
 
4- Anonymous, 2015. Studies of the second phase of the irrigation and drainage network Mirza Shirazi dam (Kavar plain). Parab Consulting Engineers. Regional water company of Fars. Technical Report. 295p. (In Persian).
 
5- Anonymous, 2018. Statistics and performance Agriculture section Fars province. Agricultural organization of Fars. Technical Rep. 224p. (In Persian).
 
6- Arora, V. K., Scinocca, J. F., Boer, G. J., Christian, J. R., Denman, K. L., Flato, G. M., Kharin, V. V., Lee, W. G. and Merry field, W. J., 2011. Carbon emission limits required to satisfy future representative concentration pathways of greenhouse gases. Geophysical Research Letters, 38(5), pp. 1-6.
 
7- Chen, H., Chong-Yu, X. and Shenglian, G., 2012. Comparison and evaluation of multiple GCMs, statistical downscaling and hydrological models in the study of climate change impacts on runoff. Journal of Hydrology, 434(435), pp.36–45.
 
8- Etemadi, H. and Delshab, H., 2020. Potential expected climate change impact on Persian Gulf Coastal Mangrove ecosystems based on temperature and precipitation variables. Journal of Environmental Science and Technology (JEST), 22(2), pp. 1-13. (In Persian).
 
9- Ewert, F., Rounsevell, M.D.A., Reginster, I., Metzger, M.G. and Leemans, R., 2005. Future scenarios of european agricultural land use. I. Estimating changes in crop productivity. Agriculture, Ecosystems and Environment, 107(2), pp.101–116.
 
10- Fahiminezhad, E., Baaghide, M.O., Babaeian, I. and Entezari, A., 2019. Simulation of the effect of global warming on the mean and extreme events of some hydrochemical variables in Shandiz catchment basin Case study: The Case of the general circulation model CanESM2. Journal of Spatial Analysis Environmental, 6(3), pp.27-48. (In Persian).
 
11- Gohari, A.R., Eslamian, S., Abedi-Koupaei, J., Massah Bavani, A.R., Wang, D. and Madani, K., 2013 Climate change impacts on crop production in Iran's Zayandeh-Rud River Basin. Science of the Total Environment, 442 (1), pp.405–419.
 
12- Goodarzi, M., Abedi-Koupai, J., Heidarpour, M. and Safavi, H.R., 2016. Evaluation of the effects of climate change on groundwater recharge using a hybrid method. Water Resources Management, 30, pp.133-148.
 
13- Goodarzi, M.R. and Faraji, A.R., 2017. Evaluation of different exponential downscaling methods for indicators minimal flow under the effects of climate change. Journal of Climate Research, 31(1), pp.57-72. (In Persian).
 
14- Grafton, R.Q.,  Williams, J., Perry, C.J., Molle, F., Ringler, C., Steduto, P., Udall. B., Wheeler, S.A., Wang, Y., Garrick, D. and Allen, R.G, 2018. The paradox of irrigation efficiency. Science, 361(6404), pp.748-750.
 
15- Gutierrez, J.M., San-Martín, D., Brands, S., Manzanas, R. and Herrera, S., 2013. Reassessing statistical downscaling techniques for their robust application under climate change conditions. Journal of Climate, 26(1), pp.171–188.
 
16- IPCC, 2014. Climate change 2014 synthesis report. Summary for policymakers. Contribution of Working Group I, II and III to Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC), In: R. Pachauri and L. Meyer (eds). Geneva, Switzerland. 151p.
 
17- King, L., Iriwin, M.S., Sarwar, R., McLeod, A.I., Slobodan, P. and Simonovic, P., 2012. The Effects of climate change on extreme precipitation events in the upper thames river basin: a comparison of downscaling approaches. Canadian Water Resources Journal, 37(3),pp.252-274.
 
18- Khayat, A., Amirabadizadeh, M., Pourreza-Bilondi, M. and Khozeymeh Nezhad, H., 2020. Study temperature and precipitation parameters under the effect of climate change (case study: Birjand plain). Journal of Irrigation and Water Engineering, 11(1), pp. 200-210. (In Persian).
 
19- Kumar, C.P., 2012. Climate change and its impact on groundwater resources. International Journal of Engineering and Science, 1(5), pp.43-60.
 
20- Malmir, M., Mohammadrezapour, O. and Sharif Azari, S., 2016. Evaluation of climate change impacts on agricultural water allocation in Qara Su watershed, using WEAP. Journal of Irrigation and Water Engineering, 23(1), pp.143-155. (In Persian).
 
21- Mehta, V.K., Haden, V.R., Joyce, B.A., Purkey, D.R. and Jackson, L.E., 2013. Irrigation demand and supply, given projections of climate and land-use change, in Yolo County, California. Agricultural Water Management, 117(1), pp. 70-82.
 
22- Mesbah Zadeh, T., Mirakbari, M., Mohseni Saravi, M., Khosravi, H. and Mortezaie Farizhendi, G.H., 2019. Study of current and future meteorological drought conditions using the CMIP5 model under RCP scenarios. Iran-Watershed Management Science & Engineering, 13(46), pp.11-22. (In Persian).
 
23- Mohebi, A.H., 2019. Study of climate change on water requirement for date palm in Ahwaz region. Journal of Water and Soil Conservation, 26(4), pp.135-153. (In Persian).
 
24- Molavi, H., Liaghat, A.M. and Nazari, B, 2017, Assessment of development and improvement policies of pressurized and surface irrigation systems using system Dynamics; case study Aras basin. Journal of Irrigation and Water Engineering, 7(27), pp.75-92. (In Persian).
 
25- Mojerloo, F., Fazloula, R. and Emadi, A.R., 2019. Application of the IHACRES model to assess the effects of climate change on the discharge of Tajan watershed. Iranian Journal of Irrigation and Drainage, 13(1), pp. 129-141. (In Persian).
 
26- Multsch, s., Elshamy, M.E., Batarseh, s., Seid, A.H., Frede, H.G. and Breuer, L., 2017. Improving irrigation efficiency will be insufficient to meet future water demand in the Nile Basin. Journal of Hydrology: Regional Studies, 12(1), pp.315-330.
 
27- Nasseri, A., Abbasi, F. and Akbari, M., 2017. Estimating Agricultural Water Consumption by Analyzing Water Balance. Irrigation and Drainage Structures Engineering Research, 18(68), pp.17-32.
 
28- Rafiee, M.R., Moazed, H., Ghaemi, A.A. and Boroomandnasab, S., 2015. FAO-56 Method for Estimating Evapotranspiration and Crop Coefficients of Eggplant in Greenhouse and Outdoor Conditions. Journal of Irrigation Sciences and Engineering (JISE), 39(2), pp.59-77. (In Persian).
 
29- Sepaskhah, A.R., Fooladmand, H.R. 2004. A computer model for desing of microcatchment water harvesting system for rain-fed vineyard. Agricultural Water Management, 64(3), pp.213-232.
 
30- Shaltout, M.E.S. and Tobol, K.M., 2018. Global climate models: the case of Egypt. Alexandria Research Center for Adaptation to Climate Change (ARCA), 6(1), pp.1-27.
 
31- Sivakumar, M.V.K., Das, H.P. and Brunini, O., 2005. Impacts of present and future climate variability and change on agriculture and forestry in the arid and semi-arid tropics. Climatic Change, 70(1), pp.31–72.
 
32- Stancalie, G., Marica, A. and Toulios, L., 2010. Using earth observation data and CROPWAT model to estimate the actual crop evapotranspiration. Physics and Chemistry of the Earth, 35(2), pp.25–30.
 
33- Surendran, U., Sushanth, C.M., Mammen, G. and Joseph, E.J., 2015. Modelling the crop water requirement using FAO-CROPWAT and assessment of water resources for sustainable water resource management: A case study in Palakkad district of humid tropical Kerala, India. Aquatic Procedia, 4(1), pp.1211- 1219.
 
34- Wilby, R.L. and Dawson, C.W., 2007. SDSM 4.2- A decision support tool for the assessment of regional climate change impacts. SDSM manual version 4.2, Environment Agency of England and Wales, 94p.
 
35- Zand-Parsa, S.h., Mahmoudian Shooshtari, M. and Majnooni-Heris, A., 2015. Measurements of standard maize evapotranspiration using water balance method and Variable Root Depth in an Arid and Semi-Arid Region. Water and Soil Science, 25(1), pp.169-181.(In Persian).
 
36- Zeinoddini, S., Anvari, S. and Zahmatkesh, Z., 2019. Application of simulation-optimization approaches to assess the effect of climate and management scenarios on a water resource system. Iran-Water Resources Research, 14(5), pp.295-310. (In Persian).
علوم و مهندسی آبیاری
دوره 46، شماره 1
خرداد 1402
صفحه 47-63

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سابقه مقاله

  • تاریخ دریافت: 24 مهر 1400
  • تاریخ بازنگری: 15 دی 1400
  • تاریخ پذیرش: 18 دی 1400
  • تاریخ انتشار: 01 خرداد 1402

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