Volume 9, Issue 17 (9-2018)
jwmr 2018, 9(17): 82-95 |
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Mostafazadeh R, Mehri S. (2018). Trends in Variability of Flood Coefficient in River Gauge Stations of Ardabil Province, Iran. jwmr. 9(17), 82-95. doi:10.29252/jwmr.9.17.82
URL: http://jwmr.sanru.ac.ir/article-1-629-en.html
URL: http://jwmr.sanru.ac.ir/article-1-629-en.html
Abstract: (4090 Views)
Flood as a rapid and destructive event causes great human and economic losses in Iran and around the world, annually. This study aimed to assess the temporal trend and spatial changes of flood coefficient of Ardabil Province rivers using daily discharge of 22 hydrometric stations over a 22-year (1991 to 2011) of recorded data. The flood coefficient amount was calculated after subtracting the defined base flow resulted from the local minima technique. The non-parametric Mann-Kendall test was used to detect the temporal tend in the time series values. The recorded data length were divided into 5-year periods and the variations of changes of flow rate in different periods were analyzed. The significant differences were determined by using the Kruskal-Wallis statistical test. The results showed that changes of flood coefficient was significant (p<0.05) between different periods. The spatial changes of flood coefficient variation coefficient showed a similar spatial pattern in different studied periods and the highest variability were defined at North-East and West parts of the study area. The highest rate of flood coefficient was observed in Akbardavood station with the value of 0.8 in the fourth sub-period. According to the results of trend analysis, there is an increasing significant temporal trend in 6 stations, and one station had decreasing trend, while other stations had increasing trend with no statistical significance. The increasing trend of flood coefficient can be related to rainfall variations and land use change along with intensified use of extensive rangelands areas which increases the potential runoff and surface flow resulting increase in the flood coefficient in the studied statistics.
Keywords: Ardabil Province, Flood Coefficient, Mann-Kendall, Spatial Variations, Trend Temporal Variations
Type of Study: Research |
Subject:
بلايای طبيعی (سيل، خشکسالی و حرکت های توده ای)
Received: 2016/05/14 | Revised: 2018/09/25 | Accepted: 2017/01/25 | Published: 2018/09/26
Received: 2016/05/14 | Revised: 2018/09/25 | Accepted: 2017/01/25 | Published: 2018/09/26
References
1. Abdollahzadeh, A., M. Ownegh, A. Sadoddin and R. Mostafazadeh. 2016. Constraints to residential land use development arising from flood and runoff coefficient in a land use planning framework, case study: Ziarat Watershed, Golestan Province. Watershed Engineering and Management, 8(2): 221-235 (In Persian).
2. Addor, N., S. Nikolova and J. Seibert. 2016. Simulated discharge trends indicate robustness of hydrological models in a changing climate. Geophysical Research Abstracts, 18, EGU2016-10421-1, EGU2016.
3. Asiabi-Hir, R., R. Mostafazadeh, M. Raoof and A. Esmali-Ouri. 2015. River health, importance and applications. Extension and Development of Watershed Management, 3(11): 17-22 (In Persian).
4. Ahani, A., S. Emamgholizadeg, S.S. Mousavi Nadoushani and Kh. Azhdari. 2015. Regional flood frequency analysis by hybrid cluster analysis and l-moment, Journal of Watershed Management Research, 6(12): 11-20 (In Persian).
5. Ansari, M., Gh. Noor and S. Fotohi. 2016. Investigation of temperature precipitation and flow trend using noparametric Mann-Kendall (case study: Kaju River in Sistan and Baluchestan). Journal of Watershed Management Research, 7(14): 152-157 (In Persian). [DOI:10.29252/jwmr.7.14.158]
6. Drapela, K. and I. Drapelva. 2011. Application of Mann-Kendall test and the Sen's slope estimates for trend detection in deposition data from Bily Kriz (Beskydy Mts., the Czech Republic) 1997-2010. Beskydy, 4(2): 133-146.
7. Farokhnia, A. and S. Morid. 2014. Assessment of the effects of temperature and precipitation variations on the trend of river flows in Urmia Lake watershed. Journal of Water and Wastewater, 3: 86-97 (In Persian).
8. Freeman, G.J. 2002. Looking for recent climatic trends and patterns in California's central sierra. PACLIM Conference Proceedings, pp: 35-48.
9. Foody, G.M., E.M. Ghoneim and W.N. Amell. 2004. Predicting location sensitive to flash flooding in arid environment. Journal of Hydrology, 292: 48-58. [DOI:10.1016/j.jhydrol.2003.12.045]
10. Halbert, K., C.C. Nguyen, O. Payrastre and E. Gaume. 2016. Reducing uncertainty in flood frequency analyses: A comparison of local and regional approaches involving information on extreme historical floods. Journal of Hydrology, doi: 10.1016/j.jhydrol.2016.01.017. [DOI:10.1016/j.jhydrol.2016.01.017]
11. Hamati, R., S. Mohammadi, L. Aslanian and B. Nikjo. 2012. Role system warning fast wireless telecommunication bed (HVF) in management risk Climate disaster Ardebil Province. 2st National Conference on Crisis Management, 1-8., Tehran, Iran (In Persian).
12. Hazbavi, Z. and S.H.R. Sadeghi. 2013. Analysis of spatial trend of rainfall erosivity in iran. 1st International Conference on Environmental Crisis and its Solutions, 434-440, Kish, Iran (In Persian).
13. Isanloo, H. and M. Vafakhah. 2011. Comparison of different methods of peak flood discharge estimation in Khorasan Razavi Province. Watershed Engineering and Management, 3(3): 177-186 (In Persian).
14. Jiang, T., B. Su and H. Hartmann. 2007. Temporal and spatial of precipitation and river flow in the Yangtze River Basin, 1961-2000. Geomorphology, 85: 143-154. [DOI:10.1016/j.geomorph.2006.03.015]
15. Khaliq, M.N., T.B.M.J. Ouarda, P. Gachon, L. Sushama and A. St-Hilaire. 2009. Identification of hydrological trends in the presence of serial and cross correlations: Areview of flow selected methods and their application to annual regimes of Canadian rivers. Journal of Hydrology, 368(1-4): 117-130. [DOI:10.1016/j.jhydrol.2009.01.035]
16. Kleeberg, H.B. 1996. Extreme floods cause and influences. Zeitschrift Tur Kulturtechnic and Ianxentqic, 87: 103-107.
17. Lettenmaier, D.P., E.F. Wood and J.R. Wallis. 1994. Hydro-climatological trends in the Continental United States, 1948-88. Journal of Climate, 7: 586-60.
https://doi.org/10.1175/1520-0442(1994)007<0586:HCTITC>2.0.CO;2 [DOI:10.1175/1520-0442(1994)0072.0.CO;2]
18. Loliyana, V.D and P.L. Patel. 2015. Trend analysis of climatic variables and their impact on stream flow using Nam model. E-proceedings of the 36th. IAHR World Congress, 28June - 3July, The Hague, the Netherlands, 10p.
19. Najafi, A. and M. Nasri. 2010. Effective factors in flood of Esfahan - Sirjan watershed employing factor analysis method. Geography and Planning Environmental, 20(4): 101-118 (In Persian).
20. Rahman, A.S., M.D. Kamruzzaman, S.C. Jahan and Q.H. Mazumder. 2016. Long - Term trend analysis of water table using MAKESENS model and sustainability of groundwater resources in drought Prond Barind area, NW Bangladesh. Journal Geological Society of India, 87: 1-15. [DOI:10.1007/s12594-016-0386-9]
21. Salmi, T., A. Maatta, P. Anttila, T. Ruoho-Airola and T. Amnell. 2002. Detecting trends of annual values of atmospheric pollutants by the Mann-Kendall test and Sen's slope estimates - the EXCEL template application MAKESENS. Publications on air quality 31, Finnish Meteorological Institute, Helsinki, 35p.
22. Sen, P.K. 1968. Estimates of the regression coefficients based on Kendall's tau. Journal of the American Statistical Association, 63: 1379-1389. [DOI:10.1080/01621459.1968.10480934]
23. Shandukani, N and T.A. Kabanda. 2013. Trend and variability assessment of rainfall in Vhembe South Arica. Journal of Human Ecology, 42(2): 171-176. [DOI:10.1080/09709274.2013.11906591]
24. Shaabani Bazneshin, A., A. Emadi and R. Fazloula. 2016. Investigation the flooding potential of basins and determination flood producing areas (case study: Neka basin), Journal of Watershed Management Research, 7(14): 20-28 (In Persian). [DOI:10.29252/jwmr.7.14.28]
25. Vafakhah, M. 2012. Analysis rainfall and discharge trend in Kashafrood watershed. Geography and Development Iranian Journal, 10(29): 77-90 (In Persian).
26. Sheikh, V.B., A. Babai and Y. Mooshakhian. 2009. Trend analysis of precipitation regime in the Gorganroud Basin. Iranian Journal of Watershed Management Science and Engineering, 3(8): 29-38 (In Persian).
27. Xu, C.Y., Y.N. Chen and J.Y. Li. 2004. Impact of climate change on water resources in the Tarim River Basin. Water Resource Management, 18: 439-458. [DOI:10.1023/B:WARM.0000049142.95583.98]
28. Yue, S and P. Pilon. 2004. A comparison of the power of the t test, Mann-Kendall and bootstrap tests for trend detection. Hydrological Sciences Journal, 49(1): 21-37. [DOI:10.1623/hysj.49.1.21.53996]
29. Zaregarizi, A., A. Sadoddin, Sh. Vahed berdi and A.R. Salmanmahiny. 2012 Long-term trend analysis of water quality variables for the Chehelchay River (Golestan Province). Iranian Water Research Journal 6(10): 155-165 (In Persian).
30. Zhang, A., Ch. Zheng and S. Wang. 2015. Analysis of stream flow variations in the Heihe River Basin, northwest China: trends, abrupt change, driving factor and ecological influences. Journal of Hydrology Regional Studies, 3: 106-124. [DOI:10.1016/j.ejrh.2014.10.005]
31. http://www.fallahtafti.blogfa.com, Management Studies-Water Resources Unit Daily discharge data.
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