{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T15:27:19Z","timestamp":1774279639683,"version":"3.50.1"},"reference-count":90,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2023,8,4]],"date-time":"2023-08-04T00:00:00Z","timestamp":1691107200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Key R&amp;D Program of China","award":["2020YFC1512401"],"award-info":[{"award-number":["2020YFC1512401"]}]},{"name":"National Key R&amp;D Program of China","award":["U1939204"],"award-info":[{"award-number":["U1939204"]}]},{"name":"National Key R&amp;D Program of China","award":["42074176"],"award-info":[{"award-number":["42074176"]}]},{"name":"National Key R&amp;D Program of China","award":["41874169"],"award-info":[{"award-number":["41874169"]}]},{"name":"National Natural Science Foundation","award":["2020YFC1512401"],"award-info":[{"award-number":["2020YFC1512401"]}]},{"name":"National Natural Science Foundation","award":["U1939204"],"award-info":[{"award-number":["U1939204"]}]},{"name":"National Natural Science Foundation","award":["42074176"],"award-info":[{"award-number":["42074176"]}]},{"name":"National Natural Science Foundation","award":["41874169"],"award-info":[{"award-number":["41874169"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The Gannan region is situated in Ganzhou City, Jiangxi Province, China, and has a complicated geological background. Seasonal droughts significantly jeopardize the water security of the local population. Groundwater is essential to alleviate the region\u2019s water needs. In this research, the groundwater potential (GWP) of the Gannan region was assessed using the Soil and Water Assessment Tool (SWAT) and the Analytical Hierarchical Process (AHP). The groundwater recharge and rainfall estimated by the SWAT model exhibited notable inconsistencies regarding their spatial distribution. Eight groundwater potential assessment factors (lithology, fault density, land use, slope, convergence index, drainage density, rainfall, and groundwater recharge) were constructed by integrating remote sensing, geological, and SWAT output data. Two GWP maps were constructed by an overlay analysis based on the obtained weights using the AHP, with the rainfall and groundwater recharge assigned the same weight to calculate the GWP with the other six factors separately. Each map was split into five classes: excellent, good, moderate, poor, and very poor. Data from 23 wells and 42 springs were collected to validate the two maps by correlation analysis between the GWP and flow rates of wells and springs. The correlation analysis result indicates that the GWP calculated by the recharge (R2 = 0.8 and 0.74, respectively) is more accurate than the GWP calculated by the rainfall (R2 = 0.21 and 0.48, respectively) and can provide a theoretical basis for groundwater management and exploration in the area.<\/jats:p>","DOI":"10.3390\/rs15153873","type":"journal-article","created":{"date-parts":[[2023,8,4]],"date-time":"2023-08-04T09:28:04Z","timestamp":1691141284000},"page":"3873","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Groundwater Potential Assessment in Gannan Region, China, Using the Soil and Water Assessment Tool Model and GIS-Based Analytical Hierarchical Process"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-3358-3125","authenticated-orcid":false,"given":"Zeyi","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Geodesy and Geomatics, Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan 430079, China"},{"name":"Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan 430079, China"}]},{"given":"Shuangxi","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Geodesy and Geomatics, Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan 430079, China"},{"name":"Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan 430079, China"}]},{"given":"Mengkui","family":"Li","sequence":"additional","affiliation":[{"name":"School of Geodesy and Geomatics, Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan 430079, China"},{"name":"Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan 430079, China"}]},{"given":"Yu","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Geodesy and Geomatics, Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan 430079, China"},{"name":"Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan 430079, China"}]},{"given":"Meng","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Geodesy and Geomatics, Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan 430079, China"},{"name":"Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan 430079, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9945-4840","authenticated-orcid":false,"given":"Qing","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Geodesy and Geomatics, Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan 430079, China"},{"name":"Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan 430079, China"}]},{"given":"Zhouqing","family":"Dai","sequence":"additional","affiliation":[{"name":"School of Geodesy and Geomatics, Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan 430079, China"},{"name":"Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan 430079, China"}]},{"given":"Jing","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Geodesy and Geomatics, Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan 430079, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,8,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1068","DOI":"10.1126\/science.1128845","article-title":"Global hydrological cycles and world water resources","volume":"313","author":"Oki","year":"2006","journal-title":"Science"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1545","DOI":"10.1016\/j.asej.2020.11.011","article-title":"Extreme gradient boosting (Xgboost) model to predict the groundwater levels in Selangor Malaysia","volume":"12","author":"Osman","year":"2021","journal-title":"Ain Shams Eng. J."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"3843","DOI":"10.1007\/s11831-022-09715-w","article-title":"Past, present and perspective methodology for groundwater modeling-based machine learning approaches","volume":"29","author":"Osman","year":"2022","journal-title":"Arch. Comput. Method Eng."},{"key":"ref_4","first-page":"69","article-title":"Groundwater: Making the invisible visible","volume":"1","author":"Water","year":"2022","journal-title":"Legal Lock J."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1016\/j.jhydrol.2017.03.020","article-title":"A comparative assessment of GIS-based data mining models and a novel ensemble model in groundwater well potential mapping","volume":"548","author":"Naghibi","year":"2017","journal-title":"J. Hydrol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s13201-017-0639-9","article-title":"Resistivity method contribution in determining of fault zone and hydro-geophysical characteristics of carbonate aquifer, eastern desert, Egypt","volume":"8","author":"Ammar","year":"2018","journal-title":"Appl. Water Sci."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"112","DOI":"10.3390\/rs13010112","article-title":"Identification of groundwater potential zones using remote sensing and GIS techniques: A case study of the Shatt Al-Arab Basin","volume":"13","author":"Allafta","year":"2020","journal-title":"Remote Sens."},{"key":"ref_8","unstructured":"Moss, R., and Moss, G.E. (1990). Handbook of Ground Water Development, Wiley-Interscience."},{"key":"ref_9","unstructured":"Fetter, C.W. (2018). Applied Hydrogeology, Waveland Press."},{"key":"ref_10","first-page":"132","article-title":"Automatic detection of near surface geological and hydrological features and investigating their influence on groundwater accumulation and salinity in southwest Egypt using remote sensing and GIS","volume":"30","author":"Elmahdy","year":"2015","journal-title":"Geocarto Int."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"587","DOI":"10.1007\/s10816-017-9347-x","article-title":"Monitoring the environmental risks around Medinet Habu and Ramesseum Temple at West Luxor, Egypt, using remote sensing and GIS techniques","volume":"25","author":"Elfadaly","year":"2018","journal-title":"J. Archaeol. Method Theory"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"2307","DOI":"10.1007\/s10040-019-02001-3","article-title":"Advances in groundwater potential mapping","volume":"27","year":"2019","journal-title":"Hydrogeol. J."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.asej.2014.08.008","article-title":"An overview of integrated remote sensing and GIS for groundwater mapping in Egypt","volume":"6","author":"Elbeih","year":"2015","journal-title":"Ain Shams Eng. J."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"887","DOI":"10.1007\/s12040-013-0309-8","article-title":"Delineation of groundwater potential zone: An AHP\/ANP approach","volume":"122","author":"Agarwal","year":"2013","journal-title":"J. Earth Syst. Sci."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/j.jaridenv.2018.05.005","article-title":"Delineation of groundwater potential (GWP) in the northern United Arab Emirates and Oman using geospatial technologies in conjunction with Simple Additive Weight (SAW), Analytical Hierarchy Process (AHP), and Probabilistic Frequency Ratio (PFR) techniques","volume":"157","author":"Abrams","year":"2018","journal-title":"J. Arid. Environ."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"899","DOI":"10.1007\/s10040-017-1683-0","article-title":"Use of geospatial technology for delineating groundwater potential zones with an emphasis on water-table analysis in Dwarka River basin, Birbhum, India","volume":"26","author":"Thapa","year":"2018","journal-title":"Hydrogeol. J."},{"key":"ref_17","first-page":"10524","article-title":"Evaluation of groundwater potential zones in Krishnagiri District, Tamil Nadu using MIF Technique","volume":"3","author":"Manikandan","year":"2014","journal-title":"Int. J. Innov. Res. Sci. Eng. Technol."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1307","DOI":"10.1007\/s13146-018-0420-7","article-title":"Delineation of groundwater potential zones using remote sensing (RS), geographical information system (GIS) and analytic hierarchy process (AHP) techniques: A case study in the Leylia\u2013Keynow watershed, southwest of Iran","volume":"34","author":"Charchi","year":"2019","journal-title":"Carbonates Evaporites"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1016\/j.jhydrol.2011.10.010","article-title":"GIS-based groundwater spring potential mapping in the Sultan Mountains (Konya, Turkey) using frequency ratio, weights of evidence and logistic regression methods and their comparison","volume":"411","author":"Ozdemir","year":"2011","journal-title":"J. Hydrol."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1016\/j.jhydrol.2010.12.027","article-title":"GIS mapping of regional probabilistic groundwater potential in the area of Pohang City, Korea","volume":"399","author":"Oh","year":"2011","journal-title":"J. Hydrol."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1007\/s10661-015-5049-6","article-title":"GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran","volume":"188","author":"Naghibi","year":"2016","journal-title":"Environ. Monit. Assess."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1016\/j.jksus.2016.08.003","article-title":"Frequency ratio model for groundwater potential mapping and its sustainable management in cold desert, India","volume":"29","author":"Guru","year":"2017","journal-title":"J. King Saud Univ.-Sci."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.jenvman.2011.09.016","article-title":"Application of a weights-of-evidence method and GIS to regional groundwater productivity potential mapping","volume":"96","author":"Lee","year":"2012","journal-title":"J. Environ. Manag."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"2064575","DOI":"10.1155\/2016\/2064575","article-title":"Assessment of groundwater potential based on multicriteria decision making model and decision tree algorithms","volume":"2016","author":"Duan","year":"2016","journal-title":"Math. Probl. Eng."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"617","DOI":"10.1016\/j.gsd.2019.03.003","article-title":"Comparison among influencing factor, frequency ratio, and analytical hierarchy process techniques for groundwater potential zonation in Vaitarna basin, Maharashtra, India","volume":"8","author":"Das","year":"2019","journal-title":"Groundw. Sustain. Dev."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"853","DOI":"10.1016\/j.scitotenv.2018.04.055","article-title":"GIS-based groundwater potential analysis using novel ensemble weights-of-evidence with logistic regression and functional tree models","volume":"634","author":"Chen","year":"2018","journal-title":"Sci. Total Environ."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/0270-0255(87)90473-8","article-title":"The analytic hierarchy process\u2014What it is and how it is used","volume":"9","author":"Saaty","year":"1987","journal-title":"Math. Model."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1016\/S0195-9255(02)00002-1","article-title":"Environmental risk assessment for pesticides: A tool for decision making","volume":"22","author":"Finizio","year":"2002","journal-title":"Environ. Impact Assess. Rev."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"2082","DOI":"10.1038\/s41598-019-38567-x","article-title":"GIS and AHP techniques based delineation of groundwater potential zones: A case study from southern Western Ghats, India","volume":"9","author":"Arulbalaji","year":"2019","journal-title":"Sci. Rep."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1105","DOI":"10.1007\/s40808-020-00744-7","article-title":"Groundwater potential zone mapping using analytical hierarchy process (AHP) and GIS for Kancheepuram District, Tamilnadu, India","volume":"6","author":"Saranya","year":"2020","journal-title":"Model. Earth Syst. Environ."},{"key":"ref_31","first-page":"100248","article-title":"Assessment of groundwater potential zones in Chittar basin, Southern India using GIS based AHP technique","volume":"15","author":"Nithya","year":"2019","journal-title":"Remote Sens. Appl. Soc. Environ."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"100365","DOI":"10.1016\/j.gsd.2020.100365","article-title":"Multi-criteria decision analysis for delineation of groundwater potential zones in a tropical river basin using remote sensing, GIS and analytical hierarchy process (AHP)","volume":"10","author":"Achu","year":"2020","journal-title":"Groundw. Sustain. Dev."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"693","DOI":"10.1007\/s12517-020-05702-2","article-title":"Delineation of groundwater potential zones in Karha river basin, Maharashtra, India, using AHP and geospatial techniques","volume":"13","author":"Bera","year":"2020","journal-title":"Arab. J. Geosci."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Genjula, W., Jothimani, M., Gunalan, J., and Abebe, A. (2023). Applications of statistical and AHP models in groundwater potential mapping in the Mensa river catchment, Omo river valley, Ethiopia. Model. Earth Syst. Environ., 1\u201319.","DOI":"10.1007\/s40808-023-01765-8"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1007\/s12594-022-1936-y","article-title":"AHP and GIS-based delineation of groundwater potential of Papum Pare District of Arunachal Pradesh, India","volume":"98","author":"Mahato","year":"2022","journal-title":"J. Geol. Soc. India"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"115832","DOI":"10.1016\/j.envres.2023.115832","article-title":"Integration of hydrogeological data, GIS and AHP techniques applied to delineate groundwater potential zones in sandstone, limestone and shales rocks of the Damoh district,(MP) central India","volume":"228","author":"Moharir","year":"2023","journal-title":"Environ. Res."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"100908","DOI":"10.1016\/j.gsd.2023.100908","article-title":"Delineation of groundwater potential zone for sustainable water resources management using remote sensing-GIS and analytic hierarchy approach in the state of Jharkhand, India","volume":"21","author":"Ashwini","year":"2023","journal-title":"Groundw. Sustain. Dev."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1101","DOI":"10.3390\/w15061101","article-title":"An Assessment of Geospatial Analysis Combined with AHP Techniques to Identify Groundwater Potential Zones in the Pudukkottai District, Tamil Nadu, India","volume":"15","author":"Arumugam","year":"2023","journal-title":"Water"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"2892","DOI":"10.1016\/j.asr.2022.11.022","article-title":"Exploration of groundwater potential zones mapping for hard rock region in the Jakham river basin using geospatial techniques and aquifer parameters","volume":"71","author":"Gautam","year":"2023","journal-title":"Adv. Space Res."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1007\/s40808-022-01502-7","article-title":"An integrated geoinformatics and hydrogeological approach to delineating groundwater potential zones in the complex geological terrain of Abuja, Nigeria","volume":"9","author":"Etuk","year":"2023","journal-title":"Model. Earth Syst. Environ."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"1436","DOI":"10.3390\/w15071436","article-title":"Delineation of Groundwater Potential Area using an AHP, Remote Sensing, and GIS Techniques in the Ifni Basin, Western Anti-Atlas, Morocco","volume":"15","author":"Ikirri","year":"2023","journal-title":"Water"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"104122","DOI":"10.1016\/j.jconhyd.2022.104122","article-title":"Application of analytical hierarchical process, multi-influencing factor, and geospatial techniques for groundwater potential zonation in a semi-arid region of western India","volume":"253","author":"Yadav","year":"2023","journal-title":"J. Contam. Hydrol."},{"key":"ref_43","first-page":"75","article-title":"Geospatial techniques for groundwater potential zones delineation in a coastal municipality, Ghana","volume":"26","author":"Danso","year":"2023","journal-title":"Egypt. J. Remote Sens. Space Sci."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"100876","DOI":"10.1016\/j.gsd.2022.100876","article-title":"Groundwater potential zone demarcation in the Khadir Island of Kachchh, Western India","volume":"20","author":"Goswami","year":"2023","journal-title":"Groundw. Sustain. Dev."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"523","DOI":"10.1007\/s11053-023-10164-w","article-title":"Groundwater Potential Assessment of Penang Island, Malaysia, Through Integration of Remote Sensing and GIS with Validation by 2D ERT","volume":"32","author":"Petrick","year":"2023","journal-title":"Nat. Resour. Res."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1007\/s13201-021-01556-5","article-title":"Assessment of groundwater potential zones using GIS and AHP techniques: A case study of the Lafia district, Nasarawa State, Nigeria","volume":"12","author":"Ifediegwu","year":"2022","journal-title":"Appl. Water Sci."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"2100068","DOI":"10.1002\/gch2.202100068","article-title":"Groundwater potential zone mapping using analytical hierarchy process and GIS in Muga Watershed, Abay Basin, Ethiopia","volume":"6","author":"Melese","year":"2022","journal-title":"Glob. Chall."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"786","DOI":"10.1007\/s12665-018-7971-8","article-title":"Integrated geospatial, geostatistical, and remote-sensing approach to estimate groundwater level in North-western India","volume":"77","author":"Kaur","year":"2018","journal-title":"Environ. Earth Sci."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.iswcr.2017.10.003","article-title":"Impact of urbanization on groundwater recharge and urban water balance for the city of Hyderabad, India","volume":"6","author":"Wakode","year":"2018","journal-title":"Int. Soil Water Conserv. Res."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Zhang, Q., Zhang, S., Zhang, Y., Li, M., Wei, Y., Chen, M., Zhang, Z., and Dai, Z. (2021). GIS-Based Groundwater Potential Assessment in Varied Topographic Areas of Mianyang City, Southwestern China, Using AHP. Remote Sens., 13.","DOI":"10.3390\/rs13224684"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"2656","DOI":"10.3390\/w11122656","article-title":"Modeling groundwater potential zone in a semi-arid region of Aseer using fuzzy-AHP and geoinformation techniques","volume":"11","author":"Mallick","year":"2019","journal-title":"Water"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"2546","DOI":"10.1007\/s12205-020-0168-1","article-title":"Groundwater potential mapping using SWAT and GIS-based multi-criteria decision analysis","volume":"24","author":"Yifru","year":"2020","journal-title":"KSCE J. Civ. Eng."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"1379","DOI":"10.1002\/hyp.8274","article-title":"Recharge estimation using remotely sensed evapotranspiration in an irrigated catchment in southeast Australia","volume":"26","author":"Githui","year":"2012","journal-title":"Hydrol. Process."},{"key":"ref_54","first-page":"143","article-title":"Evaluation of drought impact on groundwater recharge rate using SWAT and Hydrus models on an agricultural island in western Japan","volume":"371","author":"Jin","year":"2015","journal-title":"Proc. Int. Assoc. Hydrol. Sci."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1368","DOI":"10.1016\/j.jhydrol.2014.08.049","article-title":"A new technique to map groundwater recharge in irrigated areas using a SWAT model under changing climate","volume":"519","author":"Awan","year":"2014","journal-title":"J. Hydrol."},{"key":"ref_56","first-page":"826","article-title":"Quantifying the impact of urban area expansion on groundwater recharge and surface runoff","volume":"61","author":"Eshtawi","year":"2016","journal-title":"Hydrol. Sci. J."},{"key":"ref_57","first-page":"51","article-title":"SWAT and MODFLOW modeling of spatio-temporal runoff and groundwater recharge distribution","volume":"Volume 2017","author":"Putthividhya","year":"2017","journal-title":"World Environmental and Water Resources Congress"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"434","DOI":"10.1038\/514434c","article-title":"Open access to Earth land-cover map","volume":"514","author":"Jun","year":"2014","journal-title":"Nature"},{"key":"ref_59","unstructured":"Fischer, G., Nachtergaele, F., Prieler, S., Van Velthuizen, H.T., Verelst, L., and Wiberg, D. (2008). Global Agro-Ecological Zones Assessment for Agriculture (GAEZ 2008), FAO."},{"key":"ref_60","unstructured":"Meng, X., and Wang, H. (2018). China meteorological assimilation driving datasets for the SWAT model Version 1.1 (2008\u20132016). Natl. Tibet. Plateau Data Cent."},{"key":"ref_61","first-page":"1","article-title":"China National Digital Geological Map (Public Version at 1: 200 000 Scale) Spatial Database (V1)","volume":"46","author":"Li","year":"2017","journal-title":"China Geol. Surv."},{"key":"ref_62","unstructured":"Freeze, R.A., and Cherry, J.A. (1977). Groundwater, Prentice-Hall."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"1","DOI":"10.2134\/jeq2013.11.0466","article-title":"Applications of the SWAT model special section: Overview and insights","volume":"43","author":"Gassman","year":"2014","journal-title":"J. Environ. Qual."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1111\/j.1752-1688.1998.tb05961.x","article-title":"Large area hydrologic modeling and assessment part I: Model development 1","volume":"34","author":"Arnold","year":"1998","journal-title":"JAWRA J. Am. Water Resour. Assoc."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1016\/j.iswcr.2018.03.007","article-title":"Estimation of water balance and water yield in the Reedy Fork-Buffalo Creek Watershed in North Carolina using SWAT","volume":"6","author":"Ayivi","year":"2018","journal-title":"Int. Soil Water Conserv. Res."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1007\/s10201-020-00629-9","article-title":"The impact of land use and climate change on surface runoff and groundwater in Cimanuk watershed, Indonesia","volume":"21","author":"Ridwansyah","year":"2020","journal-title":"Limnology"},{"key":"ref_67","unstructured":"Neitsch, S.L., Arnold, J.G., Kiniry, J.R., and Williams, J.R. (2011). Soil and Water Assessment Tool Theoretical Documentation Version 2009, Texas Water Resources Institute."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"1511","DOI":"10.3390\/rs14061511","article-title":"Calibration and validation of SWAT model by using hydrological remote sensing observables in the Lake Chad Basin","volume":"14","author":"Bennour","year":"2022","journal-title":"Remote Sens."},{"key":"ref_69","first-page":"19","article-title":"Impacts of land use\/cover change on water balance by using the SWAT model in a typical loess hilly watershed of China","volume":"4","author":"Liu","year":"2023","journal-title":"Geogr. Sustain."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"106298","DOI":"10.1016\/j.catena.2022.106298","article-title":"Influence of climate and land-use changes on the sensitivity of SWAT model parameters and water availability in a semi-arid river basin","volume":"215","author":"Sharma","year":"2022","journal-title":"Catena"},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"3091","DOI":"10.1007\/s10668-021-01295-2","article-title":"Application of SWAT model to assess land use change and climate variability impacts on hydrology of Nam Rom Catchment in Northwestern Vietnam","volume":"24","author":"Son","year":"2022","journal-title":"Environ. Dev. Sustain."},{"key":"ref_72","unstructured":"Trivedi, A., Awasthi, M.K., Gautam, V.K., Pande, C.B., and Din, N.M. (2023). Environment, Development and Sustainability, Springer."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"1438","DOI":"10.3390\/su15021438","article-title":"Simulation of water balance components using SWAT model at sub catchment level","volume":"15","author":"Pandi","year":"2023","journal-title":"Sustainability"},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"1881","DOI":"10.1007\/s10708-020-10160-0","article-title":"Delineating of groundwater potential zones based on remote sensing, GIS and analytical hierarchical process: A case of Waddai, eastern Chad","volume":"86","author":"Elmorabiti","year":"2021","journal-title":"GeoJournal"},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"105850","DOI":"10.1016\/j.ecolind.2019.105850","article-title":"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)","volume":"110","author":"Kaur","year":"2020","journal-title":"Ecol. Indic."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1007\/s13201-015-0270-6","article-title":"Delineation of groundwater potential zones in the Comoro watershed, Timor Leste using GIS, remote sensing and analytic hierarchy process (AHP) technique","volume":"7","author":"Pinto","year":"2017","journal-title":"Appl. Water Sci."},{"key":"ref_77","unstructured":"Mukherjee, I., and Singh, U.K. (2018). Advance Technologies in Agriculture for Doubling Farmer\u2019s Income, New Delhi Publishers."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1016\/j.jhydrol.2015.03.056","article-title":"A GIS\/remote sensing-based methodology for groundwater potentiality assessment in Tirnavos area, Greece","volume":"525","author":"Oikonomidis","year":"2015","journal-title":"J. Hydrol."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"104681","DOI":"10.1016\/j.catena.2020.104681","article-title":"Delineation of groundwater potential zones in a drought-prone semi-arid region of east India using GIS and analytical hierarchical process techniques","volume":"194","author":"Mukherjee","year":"2020","journal-title":"Catena"},{"key":"ref_80","doi-asserted-by":"crossref","unstructured":"Yang, J., Zhang, H., Ren, C., Nan, Z., Wei, X., and Li, C. (2019). A cross-reconstruction method for step-changed runoff series to implement frequency analysis under changing environment. Int. J. Environ. Res. Public Health, 16.","DOI":"10.3390\/ijerph16224345"},{"key":"ref_81","first-page":"17","article-title":"Determination of drainage network in digital elevation models, utilities and limitations","volume":"2","author":"Kiss","year":"2004","journal-title":"J. Hung. Geomath."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"125197","DOI":"10.1016\/j.jhydrol.2020.125197","article-title":"Application of extreme gradient boosting and parallel random forest algorithms for assessing groundwater spring potential using DEM-derived factors","volume":"589","author":"Naghibi","year":"2020","journal-title":"J. Hydrol."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/j.geomorph.2014.09.020","article-title":"Assessment of susceptibility to earth-flow landslide using logistic regression and multivariate adaptive regression splines: A case of the Belice River basin (western Sicily, Italy)","volume":"242","author":"Conoscenti","year":"2015","journal-title":"Geomorphology"},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"1991","DOI":"10.5194\/gmd-8-1991-2015","article-title":"System for automated geoscientific analyses (SAGA) v. 2.1. 4","volume":"8","author":"Conrad","year":"2015","journal-title":"Geosci. Model Dev."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"1110","DOI":"10.1016\/j.scitotenv.2016.06.176","article-title":"Application of Dempster\u2013Shafer theory, spatial analysis and remote sensing for groundwater potentiality and nitrate pollution analysis in the semi-arid region of Khuzestan, Iran","volume":"568","author":"Rahmati","year":"2016","journal-title":"Sci. Total Environ."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"104868","DOI":"10.1016\/j.envsoft.2020.104868","article-title":"Integrated remote sensing and GIS approach using Fuzzy-AHP to delineate and identify groundwater potential zones in semi-arid Shanxi Province, China","volume":"134","author":"Shao","year":"2020","journal-title":"Environ. Modell. Softw."},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"100997","DOI":"10.1016\/j.ejrh.2022.100997","article-title":"Integration of shannon entropy (SE), frequency ratio (FR) and analytical hierarchy process (AHP) in GIS for suitable groundwater potential zones targeting in the Yoyo river basin, M\u00e9iganga area, Adamawa Cameroon","volume":"39","author":"Elvis","year":"2022","journal-title":"J. Hydrol. Reg. Stud."},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"12014","DOI":"10.1088\/1755-1315\/842\/1\/012014","article-title":"Identification of groundwater potential zones using AHP in district Kuala Krai, Kelantan, Malaysia","volume":"842","author":"Jamil","year":"2021","journal-title":"IOP Conf. Ser. Earth Environ. Sci."},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/0377-2217(90)90057-I","article-title":"How to make a decision: The analytic hierarchy process","volume":"48","author":"Saaty","year":"1990","journal-title":"Eur. J. Oper. Res."},{"key":"ref_90","first-page":"559","article-title":"Single-parameter sensitivity analysis for aquifer vulnerability assessment using DRASTIC and SINTACS","volume":"235","author":"Napolitano","year":"1996","journal-title":"IAHS Publ. -Ser. Proc. Rep. -Intern. Assoc. Hydrol. Sci."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/15\/3873\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T20:25:49Z","timestamp":1760127949000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/15\/3873"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,4]]},"references-count":90,"journal-issue":{"issue":"15","published-online":{"date-parts":[[2023,8]]}},"alternative-id":["rs15153873"],"URL":"https:\/\/doi.org\/10.3390\/rs15153873","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,8,4]]}}}