Prediction of Land Cover Compliance to the Drought Frequency under Climate Change Conditions in Hemrin Watershed

Authors

  • Mahmoud Saleh Al-Khafaji Department of Civil Engineering, Al-Nahrain University, Baghdad, Iraq
  • Rusul Abdul Hadi Al-Ameri Department of Civil Engineering, University of Technology,Baghdad, Iraq
  • Fouad H. Saeed Ministry of Water Resources, Iraq

Keywords:

Land Cover, Drought frequency, Climate Change, Hemrin

Abstract

Climate change plays a crucial role in the frequency of extreme climate events, which greatly impacts the status of land cover (LC). In this paper, the compliance of LC to the drought frequency patterns (DFPs) was assessed for the present and future conditions in Hemrin Watershed, Iraq. The Climate Forecast System Reanalysis (CFSR) data were used in the analysis of monthly weather data and the Reconnaissance Drought Index (RDI) of Hemrin Watershed for the period 1984-2013. In addition, a satellite-based analysis of the vegetation cover (VC) was conducted. Consequently, the satellite-based VC and DFPs were compared to investigate the effect of DFPs on VC and the trend of VC. The results indicated that drought was dominant in the last decades with two or three dry years followed by one wet year. Furthermore, the VC decreased by 0.5% and 4.5% during the dry and wet seasons respectively. The VC can be recovered when consecutive dry years are followed by two or more consecutive wet years and the drought frequency is reduced by 23% and 28% during dry and wet seasons respectively. However, when the wet years are dominant and successive, VC increases by 1% and 37% during dry and wet seasons respectively. The watershed is sensitive to climate change and the VC is highly related to the drought frequency. The dry area is expected to increase to cover most of the watershed by 2049 due to climate change consequents. The seasonal drought needs more investigation in future studies.

References

Abbas, N., Wasimi, S., & Al-Ansari, N. (2016). Impacts of climate change on water resources in Diyala River Basin. Iraq J of Civil Eng and Arch, 10: 1059-1074. https://doi.org/10.17265/1934-7359/2016.09.009

Adamo, N., Al-Ansari, N., Sissakian, V., Knutsson, S., & Laue, J. (2018). Climate change: consequences on Iraq’s environment. J Earth Sci Geotech Eng, 8: 43–58.

Al-Ansari, N. (1987). Geological and hydrological investigation of Hemrin reservoir. J of Water Res, special publication No.2.

Al-Ansari, N. (2016). Hydro-politics of the Tigris and Euphrates basins. Eng., 8: 140-172‏. https://doi.org/10.4236/eng.2016.83015

Al-Aroud, A.M., AL-Balisi, H.H., & Al-Ghanmien, T.M. (2018). Modern climatic modifications on the plant cover in the Wadi Araba North Basin. The Jordanian J of Social Sci, 11: 30-47.

Al-Khafaji, M.S., & Al-Chalabi, R.D. (2019). Assessment and mitigation of streamflow and sediment yield under climate change conditions in Diyala River Basin, Iraq. Hydrology, 6(3), 63; https://doi.org/10.3390/hydrology6030063

Blaney, H.F., & Criddle, W.D. (1950). Determining water requirements in irrigated areas from climatological and irrigation data. Washington Soil Conservation Service, 48: 126-147.

Bonaccorso, B., Cancelliere, A., & Rossi, G. (2003). An analytical formulation of return period of drought severity. Stochastic Environmental Research and Risk Assessment, 17: 157-174.‏ https://doi.org/10.1007/s00477-003-0127-7

Bras, R.L. (1990). Hydrology: An Introduction to Hydrologic Science. Addison-Wesley Publishing Company, Boston, USA, 643 pp.

Dai, A. E. (2012). Drought under global warming: a review. Wiley Interdisciplinary Reviews: Climate Change 3: 617-617.‏ https://doi.org/10.1002/wcc.190

Douglas, E.M., Vogel, R.M., & Kroll, C.N. (2002). Impact of streamflow persistence on hydrologic design. J of Hydro Eng, 7: 220-227.‏ DOI: 10.1061/(ASCE)1084-0699(2002)7:3(220)

Ecic, F.L., & Daniels, E. (1997). Land-cover changes in sub-Saharian Africa (1982–1991): application of remotely sensed surface temperature and vegetation indices at a continental scale. Remote Sens Env, 61: 181-200.‏

Fernández, B., & Salas, J.D. (1999). Return period and risk of hydrologic events. I: mathematical formulation. J of Hydro Eng, 4: 297-307. https://doi.org/10.1061/(ASCE)1084-0699(1999)4:4(297)‏

Gálya, B., Blaskó, L., Jóvér, J., Kovács, G., & Tamás, J. (2017) 15th Int. Conf. on Environmental Science and Technology (Rhodes / Greece).

Hargreaves, G.H., & Samani, Z.A. (1982). Estimating potential evapotranspiration. J of the Irr and Drai Eng, 108: 225-230.

Haverkamp, S., Fohrer, N., & Frede, H.G. (2005). Assessment of the effect of land-use pattern sonhydrologic landscape functions: a comprehensive GIS-based tool to minimize model uncertainty resulting from spatial aggregation Hydro Process, 19 , pp. 715-727

Huete, A. J., Haverkamp, C., & Van Leeuwen, W. (1999). MODIS vegetation index (MOD 13) algorithm theoretical basis document version 3, University of Arizona, 1200.

Khassaf, S.I., Al-Adili, A.S., & Rasheed, R.S. (2009). Seepage analysis underneath Diyala weir foundation. In Proceedings of the Thirteen International Water Technology Conference, IWTC, Hurghada, Egypt: 12-15.‏

Lloyd, E.H. (1970). Return periods in the presence of persistence. J of Hydro, 10: 291-298. https://doi.org/10.1016/0022-1694(70)90256-8‏

Loaiciga, H.A., & Mariño, M.A. (1991). Recurrence interval of geophysical events. J of Water Res Plan and Man 117: 367-382.

Lunetta, R.S., Knight, J.F., Ediriwickrema, J., Lyon, J.G., & Worthy, L.D. (2006). Land-cover change detection using multi-temporal MODIS NDVI data. RS of Env, 105: 142-154.‏ https://doi.org/10.1016/j.rse.2006.06.018

Marticorena, B., Bergametti, G., Gillette, D., & Belnap, J. (1997). Factors controlling threshold friction velocity in semiarid and arid areas of the United States. J of Geophy Res: Atm, 102(D19): 23277-23287.‏ https://doi.org/10.1029/97JD01303

McCarthy, J.J., Canziani, O.F., Leary, N.A., Dokken, D.J., & White, K.S. (2001). Climate change 2001: impacts, adaptation, and vulnerability: contribution of Working Group II to the third assessment report of the Intergovernmental Panel on Climate Change. (Vol. 2). Cambridge University Press.‏ https://doi.org/10.1002/joc.775

Morawitz, D.F., Blewett, T.M., Cohen, A., & Alberti, M. (2006). Using NDVI to assess vegetative land cover change in central Puget Sound. Environmental monitoring and assessment, 114: 85-106.‏ https://doi.org/10.1007/s10661-006-1679-z

Owor, M., Taylor, R.G., Tindimugaya, C., & Mwesigwa, D. (2009). Rainfall intensity and groundwater recharge: empirical evidence from the Upper Nile Basin. Environmental Research, Letters 4: 035009.‏ https://doi.org/10.1088/1748-9326/4/3/035009

Peters, A.J., Walter-Shea, E.A., Ji, L., Vina, A., Hayes, M., & Svoboda, M.D. (2002) Drought monitoring with NDVI-based standardized vegetation index. Photo. Eng and RS, 68: 71-75.

Prince, S.D. (1991). A model of regional primary production for use with coarse resolution satellite data. Int J of RS, 12: 1313-1330.

Quiring, S.M. (2009). Monitoring drought: an evaluation of meteorological drought indices. Geogr Compass, 3: 64–88. http://dx.doi.org/10.1111/j.1749-8198. 2008.00207.x

Schwager, S.J. (1983). Run probabilities in sequences of Markov-dependent trials. J of the A Stat Assoc, 78: 168-175.‏

Sen, Z. (2018). Climate Change Expectations in the Upper Tigris River Basin, Turkey. Theoretical and Applied Climatology, 137: 1–17. http://dx.doi.org/10.1007/s00704-018-2694-z

Shah, R., Manekar, V.L., Christian, R.A., & Mistry, N.J. (2013). Estimation of Reconnaissance Drought Index (RDI) for Bhavnagar District, Gujarat, India. International Journal of Environmental and Ecological Engineering , 7: 507 -510.

She, D., Mishra, A.K., Xia, J., Zhang, L., & Zhang, X. (2016). Wet and dry spell analysis using copulas. Int J of Clim, 36: 476-491.‏ https://doi.org/10.1002/joc.4369

Shiau JT, & Shen HW (2001). Recurrence analysis of hydrologic droughts of differing severity. J of Water Res Plan and Man 1991, 127: 30-40. https://doi.org/10.1061/(ASCE)0733-9496(2001)127:1(30)

Stoms, D.M., & Hargrove, W.W. (2000). Potential NDVI as a baseline for monitoring ecosystem functioning. Int J of RS, 21: 401-407.‏ https://doi.org/10.1080/014311600210920

Thornthwaite, C.W. (1948). An approach toward a rational classification of climate. Geographical review, 38: 55-94. https://doi.org/10.2307/210739

Tran, H.T., Campbell, J.B., Tran, T.D., & Tran, H.T. (2017). Monitoring drought vulnerability using multispectral indices observed from sequential remote sensing (Case Study: Tuy Phong, Binh Thuan, Vietnam). GI Sci and R S, 54: 167-184.‏ https://doi.org/10.1080/15481603.2017.1287838

Tsakiris, G., Pangalou, D., & Vangelis, H. (2007). Regional drought assessment based on the Reconnaissance Drought Index (RDI). WARM, 21: 821-833.‏ https://doi.org/10.1007/s11269-006-9105-4

Tucker, C.J. (1979). Red and photographic infrared linear combinations for monitoring vegetation. R S of Env, 8: 127-150. https://doi.org/10.1016/0034-4257(79)90013-0

UN-ESCWA (2020). Inventory of Shared Water Resources in Western Asia. https://www.unescwa.org/publications/inventory-shared-water-resources-western-asia. Accessed 26 November 2020.

Vogel, R.M. (1987). Reliability indices for water supply systems. J of Water Res Plann and Man, 113: 563-579.‏ https://doi.org/10.1061/(ASCE)0733-9496(1987)113:4(563)

Wang, H., Rogers, J.C. & Munroe, D.K. (2015). Commonly used drought indices as indicators of soil moisture in China. J of Hydrometeorology, 16: 1397-1408.‏ https://doi.org/10.1175/JHM-D-14-0076.1

World Meteorological Organization (WMO) and Global Water Partnership (GWP) (2016). Handbook of Drought Indicators and Indices (M. Svoboda and B.A. Fuchs). Integrated Drought Management Programme (IDMP), Integrated Drought Management Tools and Guidelines Series 2, Geneva.

Zargar, A., Sadiq, R., Naser, B., & Khan, F.I. (2011). A review of drought indices. Environmental Reviews, 19(NA): 333-349.‏ https://doi.org/10.1139/a11-013

Published

2023-03-13

How to Cite

Saleh, M., Abdul Hadi Al-Ameri, R. ., & Saeed, F. H. . (2023). Prediction of Land Cover Compliance to the Drought Frequency under Climate Change Conditions in Hemrin Watershed. Journal of Water Resources and Geosciences, 2(1), 68–93. Retrieved from https://jwrg.gov.iq/index.php/jwrg/article/view/41