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Comparison of the impact of drought on surface and sub-surface water in the Kaka-Reza basin | ||
Water Harvesting Research | ||
دوره 4، شماره 2 - شماره پیاپی 6، اسفند 2021، صفحه 145-152 اصل مقاله (997.38 K) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22077/jwhr.2022.5211.1056 | ||
نویسندگان | ||
Rahim Kazemi* 1؛ Jahangir porhemmat2 | ||
1Assistant Prof. Soil Conservation and Watershed Management Research Institute, Agricultural Research, Education and Extension Organization, Tehran, Iran | ||
2Prof. Soil Conservation and Watershed Management Research Institute, Agricultural Research, Education and Extension Organization, Tehran, Iran | ||
چکیده | ||
Awareness of drought interrelationships and hydrological response of watersheds is a prerequisite for optimal management of surface and groundwater resources. The aim of the present study was to compare the impact of drought on surface and subsurface waters in the Kaka-Reza basin. In this study, after controlling the data, a common period (1982-2017) for hydrometric and rainfall stations was considered. Then the standardized precipitation index (SPI) and the standardized discharge index (SDI) were calculated for the 1-, 3-, 6-, 9-, 18-, 12- and 24-month time steps. The base flow and the corresponding index were calculated by B-Flow Lyne and Hollick recursive digital filter. Then, the standardized base flow index (SBFI) was calculated by adapting the SPI method for the corresponding time steps. Finally, the relationships between SPI, SDI and SBFI were investigated and analyzed using correlation method. The results showed that the greatest effect of drought on groundwater for the 9- and 12-month time step with coefficient of determination 0.87, While the effect of drought on surface water for the corresponding time step has a coefficient of determination of about 0.4. | ||
کلیدواژهها | ||
Standardized precipitation؛ Standardized discharge index, Standardized base flow index | ||
مراجع | ||
Agrawala, S., Barlow, M., Cullen, H., Lyon, B., 2001, The drought and humanitarian crisis in central and southwest Asia: A climate perspective, 01(1):11-24. Amini, A., Abdeh Kolahchi, A., Al-Ansari, N., Karami Moghadam, M., Mohammad, T., 2019, Application of TRMM precipitation data to evaluate drought and its effects on water resources instability. Applied Sciences, 9(24):5377. Azareh, A., Rahdari, M. R., Sardoii, E. R., Moghadam, F. A., 2014, Investigate the relationship between hydrological and meteorological droughts in Karaj dam basin. European journal of experimental biology, 4(3):102-107. Babaei, H., Araghinejad, S., Horfar, A., Araghinejad, S., 2011, Time interval identification of the occurrences of meteorological and hydrological droughts in Zayandeh-Rud basin. Journal of Arid Biome, 1(3):1-13. Bazrkar, M. H., Chu, X., 2020, New Standardized Base Flow Index for Identification of Hydrologic Drought in the Red River of the North Basin. Natural Hazards Review, 21(4):05020011. Eghtedari, M., Bazrafshan, J., Shafie, M., Hejabi, S., 2016, Prediction of Streamflow Drought Using SPI and Markov Chain in Kharkheh’s Basin. Journal of Water and Soil Conservation, 23(2):115-130. Jahangir, M. H., Yarahmadi, Y., 2020, Hydrological drought analyzing and monitoring by using Streamflow Drought Index (SDI) (case study: Lorestan, Iran). Arabian Journal of Geosciences, 13(3):1-12. Kazemi, R., Porhemmat, J., 2020, Calibration of recursive digital filters to separate the base flow, case study: Karkheh basin. Watershed engineering and management, 12(1):30-43. Kazemi, R., Ghermezcheshmeh, B., 2021, Investigating the Impact of Drought on Flow Duration Curve in Karst Catchments (Case study: Kaka-Reza Catchment). Environment and Water Engineering, 7(3):433-443. Koushki, R., Rahimi, M., Amiri, M., Mohammadi, M., Dastorani, J., 2017, Investigation of relationship between meteorological and hydrological drought in Karkheh watershed. Iranian journal of Ecohydrology, 4(3):687-698. Lyne, V., Hollick, M., 1979, September, Stochastic time-variable rainfall-runoff modelling. In Institute of Engineers Australia National Conference (Vol. 79, No. 10, pp. 89-93). Barton, Australia: Institute of Engineers Australia. McKee, T. B., Doesken, N. J., Kleist, J., 1993, January, The relationship of drought frequency and duration to time scales. In Proceedings of the 8th Conference on Applied Climatology, 1722):179-183). Mofidipoor, N., Sheikh, V., Ownegh, M., Sadodin, A., 2012, The Analysis of Relationship Between Meteorological and Hydrological Droughts In Atrak Watershed. Journal of Watershed Management Research. 3 (5):16-26. Parsamehr, A., Khosravani, Z., 2017, Determining drought severity using multi-criteria decision-making based on topsis method (case study: selective stations of isfahan province). Iranian Journal of Range and Desert Research, 24(1):16-29. Smakhtin, V. U., 2001, Estimating continuous monthly baseflow time series and their possible applications in the context of the ecological reserve. Water SA, 27(2):213-218. Verdi Pourazad, A., Azarakhshi, M., Mosaedi, A., Farzadmehr, J., 2014, Investigation of the effect of meteorological drought on groundwater changes in Mashhad plain using GRI and SPI indicators. International Conference on Sustainable Development, Strategies and Challenges with a focus on agriculture, Natural resources, Environment and Tourism, Tabriz Wilhite, D. A., Glantz, M. H., 1985, Understanding: the drought phenomenon: the role of definitions. Water international, 10(3):111-120. | ||
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