Abstract
Longchuan River Basin is located in Chuxiong (central Yunnan province, China) that is subject to severe drought. Agriculture is critical to local economy, which can lead to intense agricultural activity. Accordingly, delineating groundwater potential zones and developing usable groundwater resources are required to meet potable and irrigating water demands in the zone. Remote sensing (RS), geographic information system (GIS) and improved fuzzy analytic hierarchy process (FAHP) were adopted to delineate the groundwater potential zones to assess the groundwater availability in Longchuan River Basin. The surveys of China geological map, Landsat 8 OLI and GDEM Aster satellite images were employed to generate eight thematic layers, i.e., lithology, land use/land cover (LULC), lineaments density, rainfall, slope, normalized difference vegetation index (NDVI), drainage density and elevation; subsequently, the mentioned layers were converted into raster data in ArcGIS. According to the ability of thematic layer to impact groundwater potential, the mentioned criteria were weighted differently by improved FAHP. Next, a map based on weighted linear combination (WLC) model was generated. Lastly, the groundwater potential zones of study area fell into ‘poor’ zone, ‘moderate’ zone and ‘good’ zone. As revealed from the results of the study, nearly 31.22% of the area exhibited ‘good’ groundwater potential, approximately 36.46% was terrain exhibiting ‘moderate’ groundwater potential, and the residual 32.23% were considered to exhibit ‘poor’ groundwater potential. The results provide more insights, and the groundwater potential zones map can be exploited by local governments for groundwater resources management and exploitation.
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References
Al Saud M (2010) Mapping potential areas for groundwater storage in Wadi Aurnah Basin, western Arabian peninsula, using remote sensing and geographic information system techniques. Hydrogeol J 18:1481–1495. https://doi.org/10.1007/s10040-010-0598-9
Dar T, Rai N, Bhat A (2020) Delineation of potential groundwater recharge zones using analytical hierarchy process (AHP). Geol Ecol Landsc:1–16. https://doi.org/10.1080/24749508.2020.1726562
Das B, Pal SC (2020) Assessment of groundwater vulnerability to over-exploitation using MCDA, AHP, fuzzy logic and novel ensemble models: a case study of Goghat-I and II blocks of West Bengal, India. Environ Earth Sci 79(5):1–16. https://doi.org/10.1007/s12665-020-8843-6
Elewa HH, Qaddah AA (2011) Groundwater potentiality mapping in the Sinai peninsula, Egypt, using remote sensing and GIS-watershed-based modeling. Hydrogeol J 19(3):613–628. https://doi.org/10.1007/s10040-011-0703-8
Geetha SA, Elangovan K, Sivakumar C (2016) Evaluation of groundwater potential zones using electric resistivity and GIS in Noyyal River basin, Tamil Nadu. J Geol Soc India 87:573–582. https://doi.org/10.1007/s12594-016-0431-8
Gupta M, Srivastava PK (2010) Integrating GIS and remote sensing for identification of groundwater potential zones in the hilly terrain of Pavagarh, Gujarat. India Water Int 35:233–245. https://doi.org/10.1080/02508061003664419
Haider H, Ghumman AR, Al-Salamah IS, Thabit H (2020) Assessment framework for natural groundwater contamination in arid regions: development of indices and wells ranking system using fuzzy VIKOR method. Water 12(2):423. https://doi.org/10.3390/w12020423
Hongmei Z, Xiaoling C, Jian Z, Zhiyong Y (2012) Land-use/−cover change spatial patterns and their impacts on sediment charge in the Longchuan River catchment, South-Western China. Int J Remote Sens 33(14):4527–4552. https://doi.org/10.1080/01431161.2011.652312
Jha MK, Chowdhary VM, Chowdhury A (2010) Groundwater assessment in Salboni block, West Bengal (India) using remote sensing, geographical information system and multi-criteria decision analysis techniques. Hydrogeol J 18:1713–1728. https://doi.org/10.1007/s10040-010-0631-z
Jidong T, Mengjie X, Su L, Xiaohu L (2008) Study on confirming the weights of risk evaluation indexes in geological disasters by improved fuzzy. J Anhui Agric Sci 36(1):22–23. https://doi.org/10.3969/j.issn.0517-6611.2008.01.010
Kanagaraj G, Suganthi S, Elango L, Magesh NS (2019) Assessment of groundwater potential zones in Vellore district, Tamil Nadu, India using geospatial techniques. Earth Sci Inf 12:211–223. https://doi.org/10.1007/s12145-018-0363-5
Kaur L, Rishi MS, Singh G, Thakur SN (2020) Groundwater potential assessment of an alluvial aquifer in Yamuna sub-basin (Panipat region) using remote sensing and GIS techniques in conjunction with analytical hierarchy process (AHP) and catastrophe theory (CT). Ecol Indic 110:105850. https://doi.org/10.1016/j.ecolind.2019.105850
Khashei-Siuki A, Keshavarz A, Sharifan H (2020) Comparison of AHP and FAHP methods in determining suitable areas for drinking water harvesting in Birjand aquifer, Iran. Groundw Sustain Dev 10:100328. https://doi.org/10.1016/j.gsd.2019.100328
Kim GB (2020) A study on the establishment of groundwater protection area around a saline waterway by combining artificial neural network and GIS-based AHP. Environ Earth Sci 79(5):1–17. https://doi.org/10.1007/s12665-020-8862-3
Leblanc M, Favreau G, Tweed S, Leduc C, Razack M, Mofor L (2007) Remote sensing for groundwater modelling in large semiarid areas: Lake Chad Basin, Africa. Hydrogeol J 15:97–100. https://doi.org/10.1007/s10040-006-0126-0
Lentswe GB, Molwalefhe L (2020) Delineation of potential groundwater recharge zones using analytic hierarchy process-guided GIS in the semi-arid Motloutse watershed, eastern Botswana. J Hydrol Reg Stud 28:100674. https://doi.org/10.1016/j.ejrh.2020.100674
Murthy KSR, Mamob AG (2009) Multi-criteria decision evaluation in groundwater zones identification in Moyale-Teltele sub basin, South Ethiopia. Int. J. Remote Sens 30:2729–2740. https://doi.org/10.1080/01431160802468255/
Nag SK, Saha S (2014) Integration of GIS and remote sensing in groundwater investigations: a case study in Gangajalghati block, Bankura district, West Bengal, India. Arab J Sci Eng 39:5543–5553. https://doi.org/10.1007/s13369-014-1098-3
Oikonomidis D, Dimogianni S, Kazakis N, Voudouris K (2015) A GIS/remote sensing-based methodology for groundwater potentiality assessment in Tirnavos area, Greece. Hydrol J 525:197–208. https://doi.org/10.1016/j.jhydrol.2015.03.056
Pan J, Li BY, Jiang MC (2013) Improved fuzzy equilibrium average type comprehensive evaluation method in the application of water quality evaluation. Adv Mater Res 779-780:1619–1622. https://doi.org/10.4028/www.scientific.net/AMR.779-780.1619
Patra S , Mishra P , Mahapatra SC (2018) Delineation of groundwater potential zone for sustainable development: a case study from Ganga Alluvial Plain covering Hooghly district of India using remote sensing, geographic information system and analytic hierarchy process. Journal of Cleaner Production, 172:2485–2502. https://doi.org/10.1016/j.jclepro.2017.11.161.
Ping H, Jinxiao L, Yongmei F, Shuhua L (2019) Analysis of precipitation characteristics and its causes in Central Yunnan city. Acta Sci Nat Univ Pekin 55(4):626–634. https://doi.org/10.13209/j.0479-8023.2019.040
Pradhan B (2009) Groundwater potential zonation for basaltic watersheds using satellite remote sensing data and GIS techniques. Eur J Geosci 1(1):120–129. https://doi.org/10.2478/v10085-009-0008-5
Rahman MA, Rusteberg B, Gogu RC, Ferreira JL, Sauter M (2012) A new spatial multi-criteria decision support tool for site selection for implementation of managed aquifer recharge. J Environ Manag 99:61–75. https://doi.org/10.1016/j.jenvman.2012.01.003
Rao YS, Jugran DK (2003) Delineation of groundwater potential zones and zones of groundwater quality suitable for domestic purposes using remote sensing and GIS. Hydrol Sci J 48:821–833. https://doi.org/10.1623/hysj.48.5.821.51452
Rezaei A, Hassani H, Tziritis E, Mousavi SBF, Jabbari N (2020) Hydrochemical characterization and evaluation of groundwater quality in Dalgan basin, SE Iran. Groundw Sustain Dev 100353:100353. https://doi.org/10.1016/j.gsd.2020.100353
Rui G, Long W, Tengyun L, Ying W (2015) The Spatio-temporal distribution and evolution of drought in Dianzhong. J Irrig Drain 34(6):95–98. https://doi.org/10.13522/j.cnki.ggps.2015.06.020
Samson S, Elangovan K (2015) Delineation of groundwater recharge potential zones in Namakkal District, Tamilnadu, India using remote sensing and GIS. J Indian Soc Remote Sens 43(4):769–778. https://doi.org/10.1007/s12524-014-0442-0
Sander P (2007) Lineaments in groundwater exploration: a review of applications and limitations. Hydrogeol J 15:71–74. https://doi.org/10.1007/s10040-006-0138-9
Selvam S, Magesh NS, Sivasubramanian P, Soundranayagam JP, Manimaran G, Seshunarayana T (2014) Deciphering of groundwater potential zones in Tuticorin, Tamil Nadu, using remote sensing and GIS techniques. J Geol Soc India 84(5):597–608. https://doi.org/10.1007/s12594-014-0167-2
Seraphin P, Vallet-Coulomb C, Gonçalvès J (2016) Partitioning groundwater recharge between rainfall infiltration and irrigation return flow using stable isotopes: the crau aquifer. Hydrol J 542:241–253. https://doi.org/10.1016/j.jhydrol.2016.09.005
Shaban A, Khawlie M, Abdallah C (2006) Use of remote sensing and GIS to determine recharge potential zones: the case of occidental Lebanon. Hydrogeol J 14(4):433–443. https://doi.org/10.1007/s10040-005-0437-6
Thapa R, Gupta S, Reddy DV (2017) Application of geospatial modelling technique in delineation of fluoride contamination zones within Dwarka Basin, Birbhum, India. Geosci Front 8(5):1105–1114. https://doi.org/10.1016/j.gsf.2016.11.006
Thilagavathi N, Subramani T, Suresh M, Karunanidhi D (2015) Mapping of groundwater potential zones in Salem Chalk Hills, Tamil Nadu, India, using remote sensing and GIS techniques. Environ Monit Assess 187(4):164–185. https://doi.org/10.1007/s10661-015-4376-y
Tweed SO, Leblanc M, Webb JA, Lubczynski MW (2007) Remote sensing and GIS for mapping groundwater recharge and discharge areas in salinity prone catchments, southeastern Australia. Hydrogeol J 15(1):75–96. https://doi.org/10.1007/s10040-006-0129-x
Yong L, Xianghong H, Jian Q (2005) An improved fuzzy AHP method. J Northwest Univ (Nat Sci Ed) 35(1):11–12,16. https://doi.org/10.3321/j.issn:1000-274X.2005.01.004
Acknowledgments
This study was supported by the remote sensing geochemistry disciplinary innovation team, Kunming University of Science and Technology, Kunming, China. The first would like to acknowledge Dr. Wang and Master Rui, for their selfless help in manuscript preparation.
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Luo, D., Wen, X., Zhang, H. et al. An improved FAHP based methodology for groundwater potential zones in Longchuan River basin, Yunnan Province, China. Earth Sci Inform 13, 847–857 (2020). https://doi.org/10.1007/s12145-020-00469-2
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DOI: https://doi.org/10.1007/s12145-020-00469-2