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Impacts of Climate Change on the Statistical Trends of Monthly and Annual Flood Discharges in the Kashafrood River Basin Iran | ||
| مجله پژوهش های خشکسالی و تغییراقلیم | ||
| دوره 1، شماره 2، شهریور 1402، صفحه 27-40 اصل مقاله (618.7 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22077/jdcr.2022.5797.1000 | ||
| نویسندگان | ||
| Reza Khodabandeh Baygi1؛ Abbas Ali Ghezelsofloo2؛ Mobin Eftekhari* 3؛ Melika Rastgoo4 | ||
| 1Department of Civil Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran | ||
| 2Associate Professor, Department of Civil Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran | ||
| 3M.Sc., Civil Engineering, Water and Hydraulic Structures. Young Reearchers and Elite Club, Mashhad Branch, Islamic Azad University, Mashhad, Iran. | ||
| 4MSc. Student of Engineering and Water Resources Management, Faculty of Civil and Environmental Engineering, Tarbiat Madras University, Tehran, Iran | ||
| چکیده | ||
| The planet's climate has lost its balance in recent decades, so the issue of climate change has attracted much attention In the study of climate change, long-term statistics can show changes to a large extent. The purpose of this study was to investigate the statistical trend of monthly and annual series, flood discharge of Kashafrood river basin . Therefore, the statistical data of the last 65 years related to the monthly and annual series of the station were examined. Mann-Kendall test was used to check whether it was random or non-random, for the trend, type and time of change, which was observed in 5 months of the year increasing trend and in 7 months of sudden jump. Linear regression method was used for correlation of dependent and independent variables, which in most months, moderate or weak correlation was observed. Mann-Whitney and Kruskal-Wallis tests were used to evaluate the significance of jump points, which were significant in most months except November and June. | ||
| کلیدواژهها | ||
| Climate Change؛ Flood؛ Kashafrood؛ Mann-Kendall؛ Mann-Whitney؛ Trend | ||
| مراجع | ||
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Ahmad, I., Tang, D., Wang, T., Wang, M. and Wagan, B. (2015). Precipitation trends over time using Mann-Kendall and spearman’s rho tests in swat river basin, Pakistan,Advances in Meteorology,2015. Asgari, A. and Rahimzadeh, F. (2006). Study of precipitation variability of recent decadal of Iran, Geographical Research Quarterly, 41(58), 67-80. Avand, M., Moradi, H.R. and Ramazanzadeh lasboyee, M. (2021). Using machine learning models, remote sensing, and GIS to investigate the effects of changing climates and land uses on flood probability, Journal of Hydrology, 595, 1-10. Azamizade, M., ghahreman, B. and Ismaili, K. (2019). Investigation of flood potential of Kashfar Mashhad watershed based on SCS method in GIS environment, Journal of Watershed Management Research, 17, 26-37. Azizi, Gh. and Roshani, M. )2004(. Using Mann-Kendall test to recognize of climate change in Caspian Sea southern coasts, GEOGRAPHICAL RESEARCH QUARTERLY, 64, 13-28. BaniWaheb, A. and MehrAfrooz, A. (2006). Regional Flood Frequency Analysis in Basin of Golestan River, Journal of Studies Of Human Settlements Planning, 1(3), 38-50. [In Persian]. Barati, R., AjdariMoghaddam, M. and AramiKhodafan, M. (2011). Regional Flood Frequency Analysis in the Kashafrud Basin Using Linear Moments Method, Iranian Journal of Water Resource, 5 (9), 223-228. [In Persian]. Darand, M., Dolatyari, Z., Aslani, F. and Azizi, Y. (2013). Investigation of Kermanshah Precipitation Behavior by Statistical Test, Geographic space, 46, 213-233. Doulabian, Sh., Shadmehri Toosi, A.H., Humberto Calbimonte, G., Ghasemi Tousi, E. and Alaghmand, S. (2021). Projected climate change impacts on soil erosion over Iran, Journal of Hydrology, 598, 1-16. Eslaminezhad, S. A., Eftekhari, M. and Akbari, M. (2020). GIS-Based Flood Risk Zoning Based On Data-Driven Models, Journal of Hydraulic Structures, 6(4), 75-98. Eslaminezhad, S.A., Eftekhari, M., Azma, A., Kiyanfar, R. and Akbari, M. (2022). Assessment of flood susceptibility prediction based on optimized tree-based machine learning models, Journal of Water and Climate Change, 13 (6), 2353–2385. Ghorbani, M.H. and Soltani, A. (2002). investigating Gorgan climate change over the past forty years, Agriculture and Natural Resources, 4, 3 - 1 4 . Helmi, M., & Shahidi, A. (2023). The using of SPI and SPEI indices in evaluating the effect of drought on quality of surface water resources (Case study: Kashafroud river). Journal of Drought and Climate change Research, 1(1), 83-96. doi: 10.22077/jdcr.2023.6023.1008 Hosseinzadeh, R. and Jihadi Tarighi, M. (2007). The Effects of Mashhad Expansion on Natural Drainage and Resonance Pattern in Urban Floods, Geographical Research, 6, 159-145. [In Persian]. Kendall, M. G. (1975). Rank correlation Methods. 4th edn, Charles Grifn, London. Kruskal, W.H. and Wallis, W.A. (1952). use of ranks in one-criterion variance analysis. Journal of the American statistical Association, 47, 261-583. Mann, H.B. (1945). Non parametric tests against trend, Econometrica, 13, 245-259. Mann, H.B. and Whitney, D.R. (1947). on a test of whether one of 2 random variables is stochastically larger than the other, The annals of mathematical statistics,18, 50-60. Modarres, R., Sarhadi, A. and Burn, D.H. (2016). Changes of extreme drought and flood events in Iran, Global and Planetary Change, 144, 67-81. Mohammed, M.H., Zwain, H.M. and Hassan, W.H. (2021). Modeling the impacts of climate change and flooding on sanitary sewage system using SWMM simulation: a case study, Results in Engineering, 12, 1-8. Pal, S.C., Chowdhuri, I., Das, B., Chakrabortty, R., Roy, P., Saha, A. and Shit, M. (2022). Threats of climate change and land use patterns enhance the susceptibility of future floods in India, Journal of environmental management, 305, 1-15. Sayari, N., Alizadeh, A., Hosseini, A. and Hesami Kermani, M.R. (2011). comparison of two GCM model for the prediction of climate parameter and crop water use under climate change, Journal Water and Soil, 25, 912-925. Sayemuzzaman, M. and Jha, M.K. (2014). Seasonal and annual precipitation time series trend analysis in North Carolina, United States, Atmospheric Research, 137, 183-194. Shaikh, M., Lodha, P. and Islamian, S. (2022). A framework for assessing the impact of climate change and reducing watershed hydrological parameters through trend analysis and hydrological modelling, Ch. 6 In Handbook of Eurasian Forecasting, Nova Science Publishers, Inc., USA, 79-110. Sun, X., Li, R., Shan, X., Xu, H. and Wang, J. (2021). Assessment of climate change impacts and urban flood management schemes in central ShanghaiInt, International Journal of Disaster Risk Reduction, 65, 1-9. Waikar, M.L. and Nilawar, A.P. (2014). Morphometric analysis of a drainage basin using geographical information system: a case study. International Journal of Multidisciplinary and Current Research, 2(2014), 179-184. Zhou, Q., Leng, G., Su, J. and Ren, Y. (2019). Comparison of urbanization and climate change impacts on urban flood volumes: Importance of urban planning and drainage adaptation, Science of the Total Environment, 658, 24-33. | ||
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