Volume 9, Issue 17 (9-2018)
jwmr 2018, 9(17): 269-279 |
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Roshun S H, Habibnejad Roshan M. (2018). Monitoring of Temporal and Spatial Variation of Groundwater Drought using GRI and SWI Indices (Case Study: Sari-Neka Plain). jwmr. 9(17), 269-279. doi:10.29252/jwmr.9.17.269
URL: http://jwmr.sanru.ac.ir/article-1-725-en.html
URL: http://jwmr.sanru.ac.ir/article-1-725-en.html
Abstract: (3779 Views)
Decrease of aquifer recharge, Increased pumping through deep wells for agricultural purposes, increases in temperature and evapotranspiration, climate change and change the type of precipitation induced reduce of water level and water table which is called Groundwater Drought. Identifying, monitoring and characterization of drought is very important for water resources planning. The object of this study is investigating temporal and spatial variations of groundwater drought using Groundwater Resource Index (GRI) and Standardized Water Level Index (SWI) in the plain area of Sari-Neka. For this purpose, groundwater data of 40 piezometric well from 1364 to 1394 were analyzed. Thus, GRI and SWI indices for time scales of 3, 6, 9, 12, 18, 24 and 48 months in Minitab and M.S Excel was calculated. Spatial extent of groundwater drought in the plain using IDW in ArcMap 10.3 was obtained. The results show that the severest drought in 3-month time scale using GRI index in Shahrivar 1394 in the amount of -93.3 and SWI index in Mehr 1394, with value of 86.4 occurred. Drought spatial changes in northern parts of the plain are related to Mordad 1384. Zoning maps indicated that Mordad highest amount of drought and Bahman has lowest value; the most important for this is pumping water from groundwater aquifers for agriculture.
Type of Study: Research |
Subject:
آبخیزداری
Received: 2016/11/25 | Revised: 2018/09/26 | Accepted: 2017/11/29 | Published: 2018/09/26
Received: 2016/11/25 | Revised: 2018/09/26 | Accepted: 2017/11/29 | Published: 2018/09/26
References
1. Adhikary, S., K. Das, S.K. Saha and T. Chaki. 2013. Groundwater Drought Assessment for Barind Irrigation Project in Northwestern Bangladesh. 20th International Congress on Modeling and Simulation. Adelaide, Australia, 1-6 December. www.mssanz.org.au/modsim.
2. Ahmadi Akhoorme, M., A. Nohegar, M. Soleimani Motlagh and M. Taie Semiromi. 2015. Groundwater Drought Investigating using SWI and GRI Indices (Case Study: Marvdasht Kharameh Aquifer). Journal of Irrigation and Water, 6(22): 105-118 (In Persian).
3. Alizadeh, A. 2015. Principles of Applied Hydrology. 40th Reprint, 7th Edition, Astan Quds Razavi Publication, 941 pp (In Persian).
4. Bhuiyan, C. 2004. Various drought indices for monitoring drought condition in Aravalli terrain of India, In: Proceedings of the XXth ISPRS Conference, Int. Soc, Photogram, Remote Sens. Istanbul, 1-6.
5. Bhuiyan, C., R.P. Singh and F.N. Kogan. 2006. Monitoring drought dynamics in the Aravalli region (India) using different indices based on ground and remote sensing data. International Journal of Applied Earth Observation and Geoinformation, 8: 289-302. [DOI:10.1016/j.jag.2006.03.002]
6. Bordi, I. and A. Sutera. 2004. Drought variability andits climatic implications. Global and PlanetaryChange, 40(1, 2): 115-127. [DOI:10.1016/S0921-8181(03)00102-4]
7. Chamanpira, Gh. Gh. Zehtabian, H. Ahmadi, and A. Malekian. 2014. Effect of drought on groundwater resources in order to optimize utilization management, case study: Plain Alashtar. Watershed Engineering and management, 6(1): 10-20 (In Persian).
8. Choi, M., J.M. Jacobs, M.C. Anderson, D.D. and Bosch. 2013. Evaluation of drought indices via remotely sensed data with hydrological variables. Journal of Hydrology, 476: 265-273. [DOI:10.1016/j.jhydrol.2012.10.042]
9. Dracup, J.A., K.S. Lee and E.G. Paulson. 1980. on the definition of drought. Water Resources Research, 16(2): 297-302. [DOI:10.1029/WR016i002p00297]
10. Ezzine, H., A. Bouziane and D. Quasar. 2014. Seasonal comparisons of meteorological and agricultural drought indexes in morocco using open short time series data. Journal of Applied Earth Observation and Geoinformation, 26: 36-48. [DOI:10.1016/j.jag.2013.05.005]
11. Han, J.Ch., Y. Huang, Zh. Li, Ch. Zhao, G. Cheng and P. Huang. 2016. Groundwater level prediction using a SOM-aided stepwise cluster inference model. Journal of Environmental Management, 182: 308-321. [DOI:10.1016/j.jenvman.2016.07.069]
12. Hua, Sh., J. Liang, G. Zeng, M. Xu, Ch. Zhang, Y. Yuan, X. Li, P. Li, J. Liu and L. Huang. 2015. How to manage future groundwater resource of China under climate change and urbanization: An optimal stage investment design from modern portfolio theory. Water Research, 85: 31-37. [DOI:10.1016/j.watres.2015.08.007]
13. Jha, M.K., A. Chowdhury, V.M. Chowdary and S. Peiffer. 2006. Groundwater management and development by integrated remote sensing and geographic information systems: prospects and constraints. Water Resource Management, 21(2): 427-467. [DOI:10.1007/s11269-006-9024-4]
14. Karimi, M., K. Shahedi, Kh. Khosravi and T. Edrisi. 2016. Evalution of interpolation methods to zoning drought in the plains Sari-Neka. Journal of Natural Environmental Hazards, 5(7): 11-25 (In Persian).
15. Karimirad, I., K. Ebrahimi and Sh. Araghinejad. 2015. Investigation of climate variability impacts on multilayer aquifers (Case study: Gorgan plain). Journal of Water and Irrigation Management, 5(2): 261-275 (In Persian).
16. Khosravi, H., E. Hydari, Gh. Zehtabian and J. Bazrafshan. 2016. Analysis of spatial and temporal trends of groundwater index (GRI) (Case study: Yazd-Ardakan plain). Iranian Journal of Range and Desert Research, 22(4): 711-720 (In Persian).
17. Lijzen, J.P., P. Otte and M. Van Dreumel. 2014. Towards sustainable management of groundwater: policy developments in The Netherlands. Sci. Total Environ, 485-486, 804-809. [DOI:10.1016/j.scitotenv.2014.02.081]
18. Malekinejad, H. and M. Soleimani Motlagh. 2012. Assessing the severity of climatic and hydrologic droughts in Chaghalvandi basin. Iranian Water Research Journal, 5(9): 61-72 (In Persian).
19. Mendicino, G., A. Senatore and P. Versace. 2008. A Groundwater Resource Index (GRI) for Drought Monitoring and Forecasting in a Mediterranean Climate. Hydrology Journal, 357: 282-302. [DOI:10.1016/j.jhydrol.2008.05.005]
20. Mohammadi, M., H. Moradi and M. Vafakhah. 2008. Determination of Groundwater Drought in Arak Plain using SWI Index and GIS Approach.Third International Conference on Water Resources Management, Tabriz, Iranian Water Resources Association. Tabriz University.
21. Nico, W., A.J. Van Lanen and A.F. Loon. 2010. Indicators for drought characterization on a globalscale, Wageningen, Netherlands. Water and Global Change, 24: 80-93.
22. Nourani, V. and Sh. Mousavi. 2016. Spatiotemporal groundwater level modeling using hybridartificial intelligence-meshless method. Journal of Hydrology, 536: 10-25. [DOI:10.1016/j.jhydrol.2016.02.030]
23. Peters, E., G. Bier, H.A.J. Van Lanen and P.J.J.F. Torfs. 2006. Drought Propagation and Spatial Distribution of Drought in a Groundwater Catchment. Hydrology Journal, 321(1-4): 257-275. [DOI:10.1016/j.jhydrol.2005.08.004]
24. Recep, Ç. 2015. Temporal Changes in the Groundwater Level in the Upper Tigris Basin, Turkey, Determined by a GIS Technique. Journal of African Earth Sciences, 107: 134-143. [DOI:10.1016/j.jafrearsci.2015.03.004]
25. Samadi, R., J. Behmanesh and H. Rezaei. 2015. Investigation of groundwater level changes trend (Case study: Urmia plain). J. of Water and Soil Conservation, 22(4): 67-84 (In Persian).
26. Shafiei, M., M. Raeini-Sarjaz, R. Fazoula. 2014. Drought Monitoring of Arjan-Parishan Plain (Study Area of Parishan Lake of Fars Province). Journal of Watershed Management Research, 5(9): 46-63 (In Persian).
27. Sun, R., M. Jin, M. Giordano and K.G. Villholth. 2009. Urban and rural groundwater use in Zhengzhou, China: challenges in joint management. Hydrogeol. J. 17(6): 1495-1506. [DOI:10.1007/s10040-009-0452-0]
28. Villholth, K.G., C. Tottrup, M. Stendel and A. Maherry. 2013. Integrated mapping ofgroundwater drought risk in the Southern African Development Community (SADC) region, Hydrogeology Journal, 21(4): 863-885. [DOI:10.1007/s10040-013-0968-1]
29. Wilhite, D.A. and M.H. Glantz. 1985. Understanding the drought phenomenon: the role of definitions, Water International, 10(3): 111-120. [DOI:10.1080/02508068508686328]
30. Willeke, G., J. Hosking and N. Guttman. 1994. The National Drought Atlas, Institutefor Water Resources Report 94-NDS-4, U.S. Army Corps of Engineers, 587 pp.
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