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Erschienen in: Sustainable Water Resources Management 4/2016

01.12.2016 | Original Article

Mapping of groundwater potential zones in Killinochi area, Sri Lanka, using GIS and remote sensing techniques

verfasst von: Pankaj Kumar, Srikantha Herath, Ram Avtar, Kazuhiko Takeuchi

Erschienen in: Sustainable Water Resources Management | Ausgabe 4/2016

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Abstract

Groundwater is a vital natural capital for the consistent and economic provision of potable water supply for both rural and urban environments. There is now a strong consensus that climate change poses a fundamental challenge to the well-being of all countries, with potential of being the harshest on countries already suffering from water scarcity. Dry zone of Killinochi basin in Northern Sri Lanka, which was devastated by civil war for last 25 years, is again being revitalized by human settlement and urbanization in last couple of years. However, the decreasing trend in the rainfall regime of the dry zones and the increase in population size (temporary inflow) and, hence, the demand for water for irrigation and other livelihood requirements, calls for a sustainable exploitation of the groundwater resources in the region. The development of a reasonable model for groundwater potential is need for the present time. This work strives to generate groundwater potential zonation map using integrated use of remote sensing and geographic information system (GIS) for Killinochi area, Northern Sri Lanka. Five different themes of information, such as geomorphology, geology, soil type (extracted from existing topo sheet); slope [generated from shuttle radar topography mission (SRTM) digital elevation model (DEM)]; and land use/land cover (extracted from digital processing of AVNIR satellite data) were integrated with weighted overlay in GIS to generate groundwater potential zonation map of the area. The final map of the area was demarcated by four different zones of groundwater prospects, viz., good (5.32 % of the area), moderate (61.90 % of the area) poor (26.61 % of the area), and very poor (6.17 % of area). The hydrogeomorphological units, such as alluvial plain, low slope area, and land occupied by forest, are prospective zones for groundwater occurrence in the study area.

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Literatur
Zurück zum Zitat Adiat KAN, Nawawi MNM, Abdullah K (2012) Assessing the accuracy of GIS-based elementary multi criteria decision analysis as a spatial prediction tool–A case of predicting potential zones of sustainable ground water resources. J Hydrol 440–441:75–89CrossRef Adiat KAN, Nawawi MNM, Abdullah K (2012) Assessing the accuracy of GIS-based elementary multi criteria decision analysis as a spatial prediction tool–A case of predicting potential zones of sustainable ground water resources. J Hydrol 440–441:75–89CrossRef
Zurück zum Zitat Amarasinghe UA, Mutuwatta L, Sakthivadivel R (1999) Water scarcity variations within a country: A case study of Sri Lanka. Research report 32. International Water Management Institute, Colombo Amarasinghe UA, Mutuwatta L, Sakthivadivel R (1999) Water scarcity variations within a country: A case study of Sri Lanka. Research report 32. International Water Management Institute, Colombo
Zurück zum Zitat Asian Development Bank (2011) Jaffna and Killinochi water supply and sanitation project: Summary poverty reduction and social strategy. ADB, BRP SRI, Mandaluyong, p 37378 Asian Development Bank (2011) Jaffna and Killinochi water supply and sanitation project: Summary poverty reduction and social strategy. ADB, BRP SRI, Mandaluyong, p 37378
Zurück zum Zitat Avtar R, Singh CK, Shashtri S, Singh A, Mukherjee S (2010) Identification and analysis of groundwater potential zones in Ken–Betwa river linking area using remote sensing and geographic information system. Geocarto Int 25(5):379–396CrossRef Avtar R, Singh CK, Shashtri S, Singh A, Mukherjee S (2010) Identification and analysis of groundwater potential zones in Ken–Betwa river linking area using remote sensing and geographic information system. Geocarto Int 25(5):379–396CrossRef
Zurück zum Zitat Bandara KMPS (2003) Monitoring irrigation performance in Sri Lanka with high-frequency satellite measurements during the dry season. Agric Water Manag 58:159–170CrossRef Bandara KMPS (2003) Monitoring irrigation performance in Sri Lanka with high-frequency satellite measurements during the dry season. Agric Water Manag 58:159–170CrossRef
Zurück zum Zitat Chowdary VM, Chandran RV, Neeti N (2008) Assessment of surface and sub-surface waterlogged areas in irrigation command areas of Bihar state using remote sensing and GIS. Agric Water Manag 95(7):754–766CrossRef Chowdary VM, Chandran RV, Neeti N (2008) Assessment of surface and sub-surface waterlogged areas in irrigation command areas of Bihar state using remote sensing and GIS. Agric Water Manag 95(7):754–766CrossRef
Zurück zum Zitat Fetter CW (1994) Applied hydrogeology, 4th edn. Prentice Hall, Englewood Cliffs, pp 543–591 Fetter CW (1994) Applied hydrogeology, 4th edn. Prentice Hall, Englewood Cliffs, pp 543–591
Zurück zum Zitat Freeze RA, Cherry JA (1979) Groundwater. Prentice-Hall, Englewood Cliffs Freeze RA, Cherry JA (1979) Groundwater. Prentice-Hall, Englewood Cliffs
Zurück zum Zitat Gaur S, Chahar BR, Graillot D (2011) Combined use of groundwater modeling and potential zone analysis for management of groundwater. Int J Appl Earth Obs Geoinform 13(1):127–139CrossRef Gaur S, Chahar BR, Graillot D (2011) Combined use of groundwater modeling and potential zone analysis for management of groundwater. Int J Appl Earth Obs Geoinform 13(1):127–139CrossRef
Zurück zum Zitat Gunawardena GMWL (2011) Land use planning in war ravaged areas of Sri Lanka, Master thesis, The University of Tokyo, 106174, p 134 Gunawardena GMWL (2011) Land use planning in war ravaged areas of Sri Lanka, Master thesis, The University of Tokyo, 106174, p 134
Zurück zum Zitat Gupta RP (2003) Remote sensing geology, 2nd edn. Springer, Berlin, pp 460–477CrossRef Gupta RP (2003) Remote sensing geology, 2nd edn. Springer, Berlin, pp 460–477CrossRef
Zurück zum Zitat Gupta RS (2008) Hydrology and hydraulic systems, 3rd edn. Waveland Press, Long Grove Gupta RS (2008) Hydrology and hydraulic systems, 3rd edn. Waveland Press, Long Grove
Zurück zum Zitat Hettiarachchi I (2008) A review on ground water management issues in the dry zone of Sri Lanka (BALWOIS 2008-Ohrid, Republic of Macedonia) pp 27–31 Hettiarachchi I (2008) A review on ground water management issues in the dry zone of Sri Lanka (BALWOIS 2008-Ohrid, Republic of Macedonia) pp 27–31
Zurück zum Zitat Jenks GF (1967) The data model concept in statistical mapping. Int Yearb Cartogr 7:186–190 Jenks GF (1967) The data model concept in statistical mapping. Int Yearb Cartogr 7:186–190
Zurück zum Zitat Madan KJ, Chowdary VM, Chowdhury A (2010) Ground water assessment in Salboni Block, West Bengal (India) using remote sensing, geographical information system and multi-criteria decision analysis techniques. Hydrogeol J 18(7):1713–1728CrossRef Madan KJ, Chowdary VM, Chowdhury A (2010) Ground water assessment in Salboni Block, West Bengal (India) using remote sensing, geographical information system and multi-criteria decision analysis techniques. Hydrogeol J 18(7):1713–1728CrossRef
Zurück zum Zitat Mallick J, Singh CK, Al Wadi H, Ahmed M, Rahman A, Shashtri S, Mukherjee S (2015) Geospatial and geostatistical approach for groundwater potential zone delineation. Hydrol Process. doi:10.1002/hyp.10153 Mallick J, Singh CK, Al Wadi H, Ahmed M, Rahman A, Shashtri S, Mukherjee S (2015) Geospatial and geostatistical approach for groundwater potential zone delineation. Hydrol Process. doi:10.​1002/​hyp.​10153
Zurück zum Zitat Moss R, Moss GE (1990) Handbook of ground water development. Wiley-Interscience, New York, pp 34–51 Moss R, Moss GE (1990) Handbook of ground water development. Wiley-Interscience, New York, pp 34–51
Zurück zum Zitat Mukherjee P, Singh CK, Mukherjee S (2012) Delineation of ground water potential zones in arid region of India—a remote sensing and GIS approach. Water Resour Manag 26(9):2643–2672CrossRef Mukherjee P, Singh CK, Mukherjee S (2012) Delineation of ground water potential zones in arid region of India—a remote sensing and GIS approach. Water Resour Manag 26(9):2643–2672CrossRef
Zurück zum Zitat Rao BV, Briz-Kishore BH (1991) A methodology for locating potential aquifers in a typical semi-arid region in India using resistivity and hydrogeologic parameters. Geoexploration 27:55–64CrossRef Rao BV, Briz-Kishore BH (1991) A methodology for locating potential aquifers in a typical semi-arid region in India using resistivity and hydrogeologic parameters. Geoexploration 27:55–64CrossRef
Zurück zum Zitat Saaty TL (1994) How to make a decision: the analytic hierarchy process. Interfaces 24(6):19–43CrossRef Saaty TL (1994) How to make a decision: the analytic hierarchy process. Interfaces 24(6):19–43CrossRef
Zurück zum Zitat Scanlon BR, Reddy RC, Stonestrom DA, Prudic DE, Dennehy KF (2005) Impact of land use and land cover change on groundwater and quality in the southwestern US. Glob Chang Biol 11:1577–1593CrossRef Scanlon BR, Reddy RC, Stonestrom DA, Prudic DE, Dennehy KF (2005) Impact of land use and land cover change on groundwater and quality in the southwestern US. Glob Chang Biol 11:1577–1593CrossRef
Zurück zum Zitat Sener E, Davraz A, Ozcelik M (2005) An integration of GIS and remote sensing in ground water investigations: a case study in Burdur, Turkey. Hydrogeology 13(5–6):826–834CrossRef Sener E, Davraz A, Ozcelik M (2005) An integration of GIS and remote sensing in ground water investigations: a case study in Burdur, Turkey. Hydrogeology 13(5–6):826–834CrossRef
Zurück zum Zitat Sreedhar G, Kumar GT, Krishna IV, Ercan K, Cüneyd DM (2009) Mapping of ground water potential zones in the Musi basin using remote sensing data and GIS. Adv Eng Softw 40:506–518CrossRef Sreedhar G, Kumar GT, Krishna IV, Ercan K, Cüneyd DM (2009) Mapping of ground water potential zones in the Musi basin using remote sensing data and GIS. Adv Eng Softw 40:506–518CrossRef
Zurück zum Zitat Thomas BC, Kuriakose SL, Jaydev SK (2009) A method for groundwater prospect zonation in data poor areas using remote sensing and GIS: a case study in Kalikavu Panchayath of Malappuram district, Kerala, India. Int J Digit Earth 2(2):155–170CrossRef Thomas BC, Kuriakose SL, Jaydev SK (2009) A method for groundwater prospect zonation in data poor areas using remote sensing and GIS: a case study in Kalikavu Panchayath of Malappuram district, Kerala, India. Int J Digit Earth 2(2):155–170CrossRef
Zurück zum Zitat Verbesselt J, Jonsson P, Lhermitte S, Aardt J, Coppin P (2006) Evaluating satellite and climate data-derived indices as fire risk indicators in savanna ecosystems. IEEE Trans Geosci Remote Sens 44(6):1622–1631CrossRef Verbesselt J, Jonsson P, Lhermitte S, Aardt J, Coppin P (2006) Evaluating satellite and climate data-derived indices as fire risk indicators in savanna ecosystems. IEEE Trans Geosci Remote Sens 44(6):1622–1631CrossRef
Zurück zum Zitat Verma AK, Singh TN (2013) Prediction of water quality from simple field parameters. Environ Earth Sci 69(3):821–829CrossRef Verma AK, Singh TN (2013) Prediction of water quality from simple field parameters. Environ Earth Sci 69(3):821–829CrossRef
Metadaten
Titel
Mapping of groundwater potential zones in Killinochi area, Sri Lanka, using GIS and remote sensing techniques
verfasst von
Pankaj Kumar
Srikantha Herath
Ram Avtar
Kazuhiko Takeuchi
Publikationsdatum
01.12.2016
Verlag
Springer International Publishing
Erschienen in
Sustainable Water Resources Management / Ausgabe 4/2016
Print ISSN: 2363-5037
Elektronische ISSN: 2363-5045
DOI
https://doi.org/10.1007/s40899-016-0072-5

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