Keywords
NDWI
Hydrological Drought
Spatio-Temporal Data
Quantification
Landsat-7 ETM
How to Cite
Abstract
Water is a dynamic and precious resource for all living creatures. Its significance is imperative for different sectors of economy at global and regional level. Sustainable use of land resources such as water is vital to carryout fundamental chores and has become an important area of investigation in developing and developed countries. Pakistan is an under developing country with agro-based economy and it is among the top of those countries which are facing acute water scarcity. World Bank has projected that by 2025 severe food shortage could be caused in Pakistan due to water scarcity.
Karachi is the most populous city of Pakistan with high consumption of water and food but semi arid climate conditions and drastic variability in rainfall pattern make it prone to desertification and drought. In Karachi Hydrological drought is closely associated with agricultural drought. Hence, monitoring, quantification and mapping of water is vital for better planning.
This Study is aimed at monitoring spatio-temporal variation of surface water in Karachi using Geoinformatic techniques. For this purpose four satellite images of Landsat -7 ETM + were used. Through NDWI spatial distribution of water and its seasonal variation was observed and maps of water availability in each Union council of Karachi using software ArcMap 10.1 were also developed for the quick and better interpration. Use of modern state of the art Remote sensing data coupled with GIS for the monitoring of land resources has proved very significant for evaluating the potential of resources in different administrative units for planning and decision making.
References
Qureshi AS. Water management in the Indus basin in Pakistan: challenges and opportunities. Mountain Research and Development 2011; 31(3): 252-260. http://dx.doi.org/10.1659/MRD-JOURNAL-D-11-00019.1
Dai A. Drought under global warming: a review. Wiley Interdisciplinary Reviews: Climate Change 2011; 2(1): 45-65.
IPCC, Field CB, Barros V, Stocker TF, Qin D, Dokken DJ, Ebi KL, Mastrandrea MD, Mach KJ, Plattner G-K, Allen SK, Tignor M, Midgley PM, Eds. Available from Cambridge University Press, The Edinburgh Building, Shaftesbury Road, Cambridge CB2 8RU England 2012; p. 582. https://www.ipcc.ch/publications_and_data/publications_and_data_reports.shtml
Gassert F, Landis M, Luck M, Reig P, Shiao T. Aqueduct global maps 2.0. Water Resources Institute (WRI): Washington, DC. 2013. http://www.waternunc.com/gb/ pws2025.htm (Retrieved on 10th March, 2014 at 5:30pm).
IWMI [International Water Management Institute
World Bank Group (Ed.). World Development Indicators. World Bank Publications 2012.
State of the Environment Report Ministry of Environment, Government of Pakistan (Draft, 2005).
Gao BC. NDWI-a normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sensing of Environment 1996; 58(3): 257-266. http://dx.doi.org/10.1016/S0034-4257(96)00067-3
Hardisky MA, Klemas V, Smart M. The influence of soil salinity, growth form,and leaf moisture on the spectral radiance of. Spartina Alterniflora 1983; 77-83.
Morse A, Zariello T, Kramber WJ. Using remote sensing and GIS technology to help adjudicate Idaho water rights. Photogrammetric Engineering and Remote Sensing 1990; 56(3): 365-370.
Smith LC. Satellite remote sensing of river inundation area, stage, and discharge: A review. Hydrological Processes 1997; 11(10): 1427-1439. http://dx.doi.org/10.1002/(SICI)1099-1085(199708)11:10<1427::AID-HYP473>3.0.CO;2-S
Jain SK, Singh RD, Jain MK, Lohani AK. Delineation of flood-prone areas using remote sensing techniques. Water Resources Management 2005; 19(4): 333-347. http://dx.doi.org/10.1007/s11269-005-3281-5
Ihsanullah. Evaluation and Prospects of Scientific Management of water Resources in Karachi City: A GIS Perspective. Ph.D. Thesis, Department of Geography, University of Karachi 2009. http://eprints.hec.gov.pk/6599/ (Retrieved on 19th August 2014)
Government of Sindh, Development Statistics of Sindh, Bureau of Statistics, Planning and Development Department, 2000, 2005, 2008, 2011 Karachi.
Ghazal L, Kazmi SJH, Afsar S. Spatial Appraisal of the Impacts of Drought on Agricultural Patterns in Karachi. Journal of Basic and Applied Sciences 2013; 9: 352-360.
Ghazal L. Risk Assessment of Agricultural Drought in Karachi. A Remote Sensing and GIS Perspective. Unpublished MS Thesis, Department of Geography, University of Karachi-Pakistan 2012.
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