Analysis of Precipitation Trends and characteristics on Agricultural Water Resources in Lorestan Province
Subject Areas : Water resources managementehsan lornezhad 1 , hossein ebrahimi 2 , Hamidreza Rabieifar 3
1 - Ph.D. Candidate, Department of Civil Engineering, Kish International Branch, Islamic Azad University, Kish Island, Iran.
2 - Associate Professor Department of Water Science and Engineering, Shahr-Ghods Branch, Islamic Azad University, Tehran, Iran.
3 - Assistant Professor Department of Civil Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran.
Keywords: Non-parametric test, Hydrological analysis, Mann-Kendall method, Joint functions,
Abstract :
Background and Aim: The analysis of hydrological events is one of the important components of the management of water resources and consumption. The amount of water consumption directly depends on the climatic phenomena in a region. Rainfall is one of the important indicators of climate change, which has been considered by researchers in the probabilistic analysis of hydrological phenomena. This research has been conducted with the aim of evaluating trend analysis and estimation of rainfall return period in water resources management of Lorestan province using modified Mann-Kendall method and bivariate probabilistic modeling.Method: The study area is Lorestan province located in the western part of Iran. Based on the conceptual framework of the study, time series of rainfall data were collected for the statistical period of 35 years from 1365 to 1400. In order to analyze the trend of precipitation in the province, the modified Mann-Kendall non-parametric test was used. Furthermore, Archimedean joint functions were used to determine the return period of two variables, duration and height of precipitation.Results: The results showed that in most parts of Lorestan province, the height of rainfall in the 10-year return period was less than 50 mm per day. This amount of rainfall will provide between 100 and 200 million cubic meters of agricultural water for eight cities. Noorabad and Aleshtar respectively have the highest and lowest predicted amounts of water in the next 10 years. Moreover, the comparison of precipitation trends showed that there was no significant decreasing or increasing trend at the 5% confidence level.Conclusion: The results showed that although a significant decreasing or increasing trend was not detected using the Man-Kendall method in the cities of Lorestan province, the return period of rainfall indicates a decrease in available water resources for agriculture. Planning based on bivariate distribution functions showed that the duration of rainfall can play a decisive role in calculating the return period.
Afsharipour, Z., Behramand, A.R., Abdolhosseini, M. 2019. Bivariate frequency analysis of rainfall intensity and depth using copula functions (Case study: Chehelchai Watershed, GorganRood, Golestan). Irrigation and water Engineering. 9(2):121-134 [in Persian]
Alamanos, A., Mylopoulos, N., Vasiliades, L., & Loukas, A. 2018. Climate change effects on the availability of water resources of Lake Karla watershed for irrigation and Volos city urban water use. In Proceedings of the 14th Protection and Restoration of the Environment (PRE) Conference, Thessaloniki, Greece, 3-6.
Asaibi Hir, R., Mostafazadeh, R., Raoof, M., Esmali-Ouri, A. 2020. Evaluating surface water sustainability of Ardabil Province watersheds. Watershed Engineering and Management. 11(4): 984-998 [in Persian]
Ashofteh, P. and A. Masahbavani. 2007. Impact of climate change on the intensity and frequency of flooding in future periods, case study: Aidoghmoush Basin, East Azarbaijan. Technical Workshop on the Impacts of Climate Change on Water Resources Management, Tehran [in Persian].
Azaranfar, A., A. Abrishamchi and M. Tagrishi. 2006. Assessment effects of climate change on precipitation and temperature in zayandehrud basin using the model of the turn popular. 2nd National Conference on Water Resources Iran, Esfahan [in Persian].
Azari, M., H.R. Moradi, B. Saghafian and M. Framarzi. 2013. Assessment of hydrological effects of climate change in Geourganroud River. Journal of Water and Soil, 12: 537-547.
Babaeian, I., Kwon, W.T., and Im, E.S., 2004: Application of weather generator technique for climate change assessment over Korea. Korea Meteorological Research Institute, climate research lab, 98pp.
Banibayat, A., Ghorbanizadeh Kharazi, H., Eslami, H. 2022. Drought Monitoring in Bivariate Probabilistic Framework for the Maximization of Water Use Efficiency. Iran J Sci Technol Trans Civ Eng 46, 573–584.
Chen L. and Guo S. 2019. Copulas and Its Application in Hydrology and Water Resources. Springer https://doi.org/10.1007/978-981-13-0574-0.
Daba, M., G. Mamo and G.N. Rao. 2018. Evaluating potential impact of climate change on hydro-meteorological variables in upper Blue Nile Basin, case study: fincha sub-basin. International Conference on Climate Change Effects, 27-30.
Elsner MM, Cuo L, Voisin N, Hamlet AF, Deems JS, Lettenmaier DP, Mickelson KEB, Lee SY. 2009 Implications of 21st century climate change for the hydrology of Washington State. Washington Climate Change Impacts Assessment: Evaluating Washington’s future in a changing climate.
Fakheri, A., S. Romiynfar, H. Aboali and A. Khaki Torabi. 2011. Investigation effects of climate change on water inflow into Lake Orumiyeh using SDSM micro-scale model. The 4th conference on Water Resources Management, Amirkabir Technology University, Tehran [in Persian].
Fallah, G. and Shakri, F. 1401. Evaluation of the role of climate change and remote sensing signals on the maximum temperature of Hordi study in Khuzestan province. Journal of Applied Researches in Geographical Sciences. 22(67): 439-457 [in Persian].
Farmanara, S.M., Bakhtiari, B., Sayari, N. 2019. Analysis of meteorological drought characteristics under the influence of climate change with Copula approach in Fars province. Water and Soil. 34(5): 1157-1173 [in Persian]
Fentaw, F., Mekuria, B. and Arega, A. 2018. Impacts of Climate Change on the Water Resources of Guder Catchment, Upper Blue Nile, Ethiopia. Ethiopia. WaterSA, 1(1), 16-29.
Hamed, K., Rao, R. 1998. A modified Mann-Kendall trend test for autocorrelated data. Journal of Hydrology. 204:182-196.
Kendall, M. G., 1975. Rank correlation methods. Charles Griffin, London.
Khosravi, A. and Azari, M. 1401. Determining the temporal and temporal trends of temperature and precipitation changes in Kashf River basin. Journal of Applied Researches in Geographical Sciences. 22(66): 289-306 [in Persian].
Lalehzari, R., Kerachian, R. 2021. An Integrated Framework for Optimal Irrigation Planning Under Uncertainty: Application of Soil, Water, Atmosphere and Plant Modeling. Iran J Sci Technol Trans Civ Eng 45, 429–442.
Mann, H. B., 1945. Nonparametric tests against trend. Econometrica 13, pp 245-259.
Mirian, M., Karampour, M., Moradi, M., Ghaemi, H., and Nasiri B. 1401. Analysis of statistics and anomalies of 50-year rainfall of Iran's synoptic stations (period 1960-2010). Journal of Applied Researches in Geographical Sciences. 1402. 23(68): 243-327 [in Persian].
Mostafazadeh, R., Mehri, S. 2018. Trends in Variability of Flood Coefficient in River Gauge Stations of Ardabil Province, Iran. Journal of Watershed Management Research. 9(17): 82-95 [in Persian]
Mostafazadeh, R., Shahabi, M. and Zabihi, M. 2014. Analysis Planning of Space meteorological drought using Triple Diagram Model in the Kurdistan Province, Iran. Geographical Planning of Space Quarterly Journal. 5(17): 129-140 [in Persian]
Ochera, G., Sierra, A., Vives, L. 2020. Spatio-temporal effect of climate change on water balance and interactions between groundwater and surface water in plains, science of the Total Enviroment, 722, 137886.
Sabaghi, B., Shafai Bajestan, M., Aminnejad, B. 2022. Uncertainty Analysis of Rainfall–Runoff Relationships Using Fuzzy Set Theory and Copula Functions. Iran J Sci Technol Trans Civ Eng 46, 2667–2676.
Sabaghi, M., Nazari, M., Araghinejad, Sh. 2020. Economic impacts of climate change on water resources and agriculture in Zayandehroud river basin in Iran, Agricultural Water Management, 241, 106323.
Samuel, K., L. Michele, E. Warburton, G. Archer van and P.W. Graham. 2021. Impacts of climate change on water resources in Southern Africa: A review study of Vernonia, Oregon, USA. Applied Geography, 46: 137–146.
Shrestha N K, Du X, and Wang J. 2017. Assessing climate change impacts on fresh water resources of the Athabasca River Basin Canada. Science of the Total Environment 601:425-440
Tan, M L, Yusop Z, Chua V P and Chan NW 2021. Climate change impacts under CMIP5 RCP scenarios on water resources of the Kelantan River Basin Malaysia. Atmospheric Research 189:1-10.
Wang, C., Shang, Y., Khayatnezhad, M. 2021. Fuzzy stress-based modeling for probabilistic irrigation planning using Copula-NSPSO. Water Resource Management. 35, 4943–4959.
Zainadini, S., Anvari, S., Zahmatkesh, Z. 2019. Investigation of Water Allocation Conditions in Aharchay Basin under Climate Change Impacts. Irrigation science and engineering. 42(4): 195-210 [in Persian]
