اثر تغییر اقلیم بر بارش، دما و کیفیت آب سطحی در حوزه اسکندری اصفهان

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانش آموخته کارشناسی ارشد آبخیزداری، دانشکده کشاورزی و منابع طبیعی، دانشگاه اردکان

2 استادیار علوم و مهندسی آب، دانشکده کشاورزی و منابع طبیعی، دانشگاه اردکان، اردکان، جمهوری اسلامی ایران

3 دکترای آبخیزداری، مرکز ملی تحقیقات و مطالعات باروری ابرها، یزد

4 استادیار علوم و مهندسی آب، دانشکده کشاورزی و منابع طبیعی، دانشگاه اردکان

چکیده

افزایش دمای کره زمین ناشی از نوسانات اقلیمی باعث تغییراتی در پدیده‌های مرتبط با منابع آب از جمله کمیت و کیفیت آب شده است. در این پژوهش تغییرات برخی از پارامترهای اقلیمی و کیفی آب سطحی در حوزه اسکندری اصفهان در دوره پایه و آتی بررسی شد. ابتدا داده‌های روزانه دمای حداقل و حداکثر و بارش روزانه ایستگاه سینوپتیک داران در بازه زمانی (پایه) 2013-1993 تحت مدل بزرگ مقیاس گردش عمومی جو HadCM3 شبیه سازی و با استفاده از مدل ریز مقیاس‌گردانی LARS-WG و سناریو های A1B ، A2 و B1 برای دوره آتی 2030-2020 پیش‌بینی گردید. سپس با برقراری رابطه‌ای تجربی بین هر کدام از داده های کیفیت آب در دوره پایه با داده‌های اقلیمی معادله‌ای چند متغیره برای محاسبه پارامترهای کیفیت آب بدست آمد. با جایگزین کردن داده‌های هر سناریو اقلیمی مقدار پارامترهای کیفیت آب در آن سناریو در دوره آتی محاسبه گردید. نتایج نشان داد دمای حداقل روزانه در دوره آتی تحت هر سه سناریو روند افزایشی خواهد داشت و روند دمای حداکثر روزانه در سناریو B1 ثابت بوده اما در سناریو A1B و A2 افزایش می‌یابد. همچنین بارندگی سالانه روند کاهشی داشته که اثر مستقیم بر کیفیت آب دارد. بر اساس نتایج، مقدار EC تحت هر سه سناریو اقلیمی نسبت به دوره پایه افزایش و برعکس مقدار pH کاهش یافته است. همچنین SAR به طور متوسط 17% افزایش می‌یابد. تحت سناریوهای اقلیمی بررسی شده آب رودخانه حوزه اسکندری بر اساس دیاگرام شولر و ویلکاکس در دوره آتی برای شرب و کشاورزی استانداردهای لازم را خواهد داشت.

کلیدواژه‌ها


عنوان مقاله [English]

Climate change impact on rainfall, temperature and surface water quality in Eskandari Watershed of Isfahan

نویسندگان [English]

  • Mohsen Tollabi 1
  • Abolfazl Azizian 2
  • Samaneh Pourmohammadi 3
  • Najmeh Yarami 4
1 Former M.Sc. student, College of Agriculture and Natural Resources, Ardakan University , Ardakan, Iran
2 Assistant Professor, Department of Water Science and Engineering, College of Agriculture and Natural Resources, Ardakan University, Ardakan, I.R. of Iran
3 Ph.D. of watershed management, National Cloud Seeding Reaserch Center, Yazd, Iran
4 Assistant professor, College of Agriculture and Natural Resources, Ardakan University , Ardakan, Iran
چکیده [English]

Extended abstract



Introduction

Climate change is one of the effective phenomena on the ecosystems and their resources management. Today, water resources management has special aspects with climate change. Predicting water quality has the same important as water quantity. Increasing global temperature due to climate change has changed the precipitation and river flow-rate pattern in the watersheds. Hence, the quantity and quality of the water resources (especially surface water) is particularly affected by climate variations. Many studies have investigated the climate change impacts on weather parameters; however, changing in water quality factors caused by climate variations has been less studied. Hence, this study has focused on the variations of weather parameters (temperature and precipitation) and forecasting of the surface water quality under different future climate scenarios. For this purpose, the GCM (general circulation model) HadCM3 and LARS-WG down scaling models were used in Eskandari Watershed of Isfahan.



Materials and methods

In this study, the changes of climatic parameters and surface water quality factors in Eskandari Watershed of Isfahan (located in central Iran) were investigated in the base (BP) and future period (FP). The daily minimum (MinT) and maximum (MaxT) temperatures and precipitation data of Daran Station during 1993-2013 (BP) were simulated using HadCM3 general circulation and LARS-WG down scaling models. These parameters then predicted under A1B, A2 and B1 scenarios for the FP (2020-2030). Thereafter, the main quality factors of the surface water including electrical conductivity (EC), acidity (pH) and sodium absorption ratio (SAR) in the FP were estimated by substituting the climatic parameters in the multivariate empirical models derived from water quality and climatic factors in the BP. Then the suitability of water for agriculture and drinking was investigated using Schoeller and Wilcox diagram.

Results and Discussion

Results of the study showed that the MinT and MaxT of the study area will increase under three selected scenarios in the FP except for MaxT which will remain in B1 emission scenario. Precipitation will decrease in all studied scenarios specially in A1B and A2. Surface water quality had a close relationship with the variations of the temperature and precipitation in BP. There will be a greater increase in EC under A2 scenario. There will be the greatest increase of temperature and decrease in precipitation in this scenario as compared to the others which justifies the increase in water salinity. Whereas, pH of the surface water will decrease under three scenarios in the FP. Furthermore, SAR will enhance in all three scenarios which shows water quality degradation in the FP. Changing water type-facies from Ca2+-CO32- in BP to the Mg2+-CO32- in FP under A1B an A2 scenarios also indicates the deterioration of the surface water quality in Eskandari watershed. Although, the water quality of the watershed will degrade, but it will still satisfy the criteria for drinking (based on the Schoeller diagram) and agricultural (based on the Wilcox diagram) uses. It should not be overlooked that the land use type will have more effect on surface water quality rather than the variations of temperature and precipitation in the future. Hence, future anthropogenic activities make it difficult to interpret the effect of predicted climate variations on water resources quality (especially surface water resources). However, monitoring of the factors that affect quality of the water is the essential part of a water resources management plan in a watershed.



Conclusion

Results showed that the MinT in the study area will increase in the FB under three studied scenarios (A1B, A2 and B1); however, MaxT will also increase under A1B and A2 scenarios but it will nearly remain without change under B1 emission scenario. The annual precipitation has also a declining trend in the FP under three emission scenarios which has a negative impact on the surface water quality. Results also showed that EC will increase under three studied scenarios; whereas, pH will decrease with regard to the BP. Besides, SAR will increase as 17% in the FP as compared to the BP. The quality of surface water in the Eskandari watershed will satisfy the required criteria for drinking and irrigation according to the Schoeller and Wilcox classification, respectively, in the FP under three emission scenarios.



Keywords: Climate change, LARS-WG model, Daran Station, Water type and facies.

کلیدواژه‌ها [English]

  • Climate change
  • LARS-WG model
  • Daran Station
  • Water type and facies
  1.  

    1. Ababaei, B., Mirzaei, F. and Sohrabi, T. 2011. Evaluation of performance of LARS-WG in 12 coastal weather station of Iran. Journal of Iranian Water Research, 5(9), pp. 217-222. (In Persian).
    2. Abbasi, F., Babaeian, I., Habibi-Nokhandan, M., Goli-Mokhtari, L. and Malbusi, SH. 2010. Evaluation of the climate change impact on temperature and precipitation of Iranian future decades using MAGICC-SCENGEN Model. National Geographic Researches, 42(72), pp. 91-109. (In Persian)
    3. Johnson, A.F. and Mohari, F. 2009. Ecological Impacts of Climate Change, The National Academies, 32p.
    4. Babaeian, I. and Najafi Nik, Z. 2006. Introducing and Evaluation of LARS-WG Model for Modelling Meteorological Parameters of Khorasan Province (1961-2003). Nivar Journal, 31(62-63), pp. 49-65. (In Persian)
    5. Bahri, M., dastorani, M.T. and Goodarzi, M. 2015. Assessment of future drought under climate change status, case study: Eskandari Basin, Isfahan Province. Watershed Engineering and Management, 7(2), pp. 157-171. (In Persian).
    6. Carter, T. R., Hulme, M. and Lal, M. 1999. Guidelines on the use of scenario data for climate change impact and adaptation assessment. Task Group on Scenarios for Climate Impact Assessment (TGCIA), Intergovernmental Panel on Climate Change (IPCC), 69p.
    7. Eghtetaf, M. 2015. Climate change impacts on surface water quality and quantity (case study: Balikhli Chai River). M.Sc. Thesis in Civil Enginnering, Shahrood University of Technology. Iran. (In Persian)
    8. Fowler, H. J., Kilsby, C.G. and Stunell, J. 2007. Modeling the impacts of projected future climate change on water resources in north-west England. Hydrology and Earth System Sciences, 11(3), pp. 1115-1126.
    9. Ghamdideh, A. 2008. The impact of climate change on temperature and rain, case study: Kordestan province. MSc Thesis in Geography, Shahid Beheshti University. (In Persian).
    10. Ghanbari-Adivi, K. and Borna, R. 2015. Climate change and its impact on water quality of Andimeshk Lur Plain. International Congress Geography and Sustainable Development, Tehran, Iran. (In Persian).
    11. Heydarzadeh, N., Shariarinia, E., Khodabakhshi, N. and Panahandeh, A. 2014. A review on the climate change impacts on quantity and quality of the water in Iran and the world. The First Conference on Climate Change and Towards Sustainable Futures, Tehran, Iran. (In Persian).
    12. Hosseini, N., Johnstone, J. and Lindenschmidt, K.E. 2017. Impacts of climate change on the water quality of a regulated Prairie River. Water, 9(3), pp. 199-214.
    13. Jalili, Kh., Moradi, H. R. and Bozorg Haddad, O. 2016. Assessment of Climate Change Impacts on Water Resources in Islam Abad Aquifer and Land Allocation Optimization. Desert Ecosystem Engineering Journal, 5(11), pp. 117-131. (In Persian).
    14. Jung, II. W. and Chang, H. 2010. Assessment of future runoff trends under multiple climate change scenarios in the Willamette River Basin, Oregon, USA. Hydrological Process, 25(2), pp. 258-277.
    15. Khakpournejad, A. 2015. Effect of climate change on quantity and quality of groundwater resources in Hamedan Bhahar Plain. M.Sc. Thesis in Water Engineering, BuAli Sina University, Hamedan. (In Persian).
    16. Khalili, K., Rasuli, N. and Jabbari, A. 2014. Assesment of the climate change impact on quality and quantity changes of groundwater (case study: Uromieh and Kahriz Aquifer). National Conference on Climate Change and Engineering Sustainable Agriculture and Natural Resources. June 2014. Hamedan, Iran. (In Persian).
    17. Kienzle, S. W., Nemeth, M.W., Byrne, J. M. and MacDonald, R. J. 2012. Simulating the hydrological impacts of climate change in the upper North Saskatchewan River basin, Alberta, Canada. Journal of Hydrology, 412, pp. 76–89.
    18. Komatsu, E., Fukushima, T. and Harasawa, H. A. 2007. Modeling approach to forecast the effect of long-term climate change on lake water quality. Ecological Modeling, 209(2-4), pp. 351–366.
    19. Mimikou, M. A., Baltas, E., Varanou, E. and Pantazis, K. 2000. Regional impacts of climate change on water resources quantity and quality indicators. Journal of Hydrology, 234, pp. 95–109.
    20. Mote, P. W. 2006. Climate-driven variability and trends in mountain snowpack in western North America. Journal of Climate, 19, pp. 6209-6220.
    21. Racsko, P., Szeidl, L. and Semenov, M. 1991. A serial approach to local stochastic weather models. Ecological Modeling, 57(1-2), pp. 27-41.
    22. Radhapyari, K., Datta, S., Dutta, S. and Barman, R. 2021. Impacts of global climate change on water quality and its assessment. 229-275. In: Thokchom, B., Qiu, P., Singh, P. and Iyer P.K. (Eds.). 2021. Impacts of global climate change on water quality and its assessment. Elsevier Publication. 446p.
    23. Semenov, M.A. and Porter, J.R. 1995. Climate variability and the modeling of crop yields. Agriculture and Forest Meteorology, 73(3-4), pp. 265- 283.
    24. Taleghani-Nia, M. 2013. Climate change impacts on quantity and quality parameters of surface water using rainfall-run off model. M.Sc. Thesis In Environment, Tehran University, Iran. (In Persian).