{"id":"https://openalex.org/W4396852582","doi":"https://doi.org/10.1145/3647444.3652436","title":"Integrating Traditional Analyses and Machine Learningfor Holistic Assessment of Groundwater Quality in theSirohi Region: A Case Study on Physico-ChemicalParameters and Predictive Models","display_name":"Integrating Traditional Analyses and Machine Learningfor Holistic Assessment of Groundwater Quality in theSirohi Region: A Case Study on Physico-ChemicalParameters and Predictive Models","publication_year":2023,"publication_date":"2023-11-23","ids":{"openalex":"https://openalex.org/W4396852582","doi":"https://doi.org/10.1145/3647444.3652436"},"language":"en","primary_location":{"id":"doi:10.1145/3647444.3652436","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3647444.3652436","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Information Management &amp; Machine Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068339322","display_name":"Priya Mathur","orcid":"https://orcid.org/0000-0003-0378-7171"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Priya Mathur","raw_affiliation_strings":["Mathematics, PIET, India"],"affiliations":[{"raw_affiliation_string":"Mathematics, PIET, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103149304","display_name":"Rekha Rani Agarwal","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126659","display_name":"Poornima University","ror":"https://ror.org/03gnqp653","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210126659"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rekha Rani Agarwal","raw_affiliation_strings":["Chemistry, Poornima Institute of Engineering and Technology, Jaipur, India"],"affiliations":[{"raw_affiliation_string":"Chemistry, Poornima Institute of Engineering and Technology, Jaipur, India","institution_ids":["https://openalex.org/I4210126659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084621305","display_name":"Amit Kumar Gupta\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c","orcid":"https://orcid.org/0000-0002-5345-2794"},"institutions":[{"id":"https://openalex.org/I73779912","display_name":"Manipal University Jaipur","ror":"https://ror.org/040h76494","country_code":null,"type":"education","lineage":["https://openalex.org/I73779912"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amit Kumar Gupta","raw_affiliation_strings":["School of Computer Science &amp; Engineering, Manipal University Jaipur, India"],"affiliations":[{"raw_affiliation_string":"School of Computer Science &amp; Engineering, Manipal University Jaipur, India","institution_ids":["https://openalex.org/I73779912"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068339322"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2902588,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.8507000207901001,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.8507000207901001,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11634","display_name":"Water Quality and Pollution Assessment","score":0.7742999792098999,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.7164000272750854,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.597267746925354},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5423660278320312},{"id":"https://openalex.org/keywords/groundwater","display_name":"Groundwater","score":0.4935857057571411},{"id":"https://openalex.org/keywords/water-resource-management","display_name":"Water resource management","score":0.3355715274810791},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.2768327593803406},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22169604897499084},{"id":"https://openalex.org/keywords/geotechnical-engineering","display_name":"Geotechnical engineering","score":0.08451974391937256}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.597267746925354},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5423660278320312},{"id":"https://openalex.org/C76177295","wikidata":"https://www.wikidata.org/wiki/Q161598","display_name":"Groundwater","level":2,"score":0.4935857057571411},{"id":"https://openalex.org/C524765639","wikidata":"https://www.wikidata.org/wiki/Q1501619","display_name":"Water resource management","level":1,"score":0.3355715274810791},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.2768327593803406},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22169604897499084},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.08451974391937256},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3647444.3652436","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3647444.3652436","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Information Management &amp; Machine Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","score":0.800000011920929,"display_name":"Clean water and sanitation"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1967984866","https://openalex.org/W1997863042","https://openalex.org/W2432179848","https://openalex.org/W4299516422","https://openalex.org/W6615796722"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W2387473253"],"abstract_inverted_index":{"Water":[0],"stands":[1],"as":[2,45,107,126,157],"fundamental":[3],"life-sustaining":[4],"natural":[5],"resource,":[6],"with":[7,197,214],"groundwater":[8,26,43,84,147,244],"being":[9],"indispensable":[10],"for":[11,50,240],"fulfilling":[12],"life's":[13],"essential":[14],"needs.":[15],"This":[16],"study":[17],"focuses":[18],"on":[19,171],"examination":[20],"of":[21,62,70,77,83,146,180,190,202,217,229,238],"physico-chemical":[22,78],"parameters":[23,105],"within":[24],"numerous":[25],"sources":[27],"in":[28,93,194,232,246],"the":[29,51,68,81,94,127,138,233,236],"Sirohi":[30,95],"area,":[31],"a":[32,74,143],"region":[33],"predominantly":[34],"characterized":[35],"by":[36,200],"marble":[37],"and":[38,54,120,135,164,186,206,222,242],"cement":[39],"industries.":[40],"Given":[41],"that":[42],"serves":[44],"primary":[46],"drinking":[47,71],"water":[48,72,191,230],"source":[49],"municipality,":[52],"understanding":[53,145],"assessing":[55],"its":[56],"quality":[57,69,82,192,231,245],"is":[58,65],"imperative.":[59],"The":[60,97,224],"objective":[61],"this":[63],"research":[64,139],"to":[66,141,151],"enhance":[67],"through":[73],"comprehensive":[75],"analysis":[76,98],"parameters.":[79],"Evaluating":[80],"involves":[85],"studying":[86],"samples":[87],"collected":[88,172],"from":[89],"various":[90],"rural":[91],"communities":[92],"district.":[96],"encompasses":[99],"25":[100],"distinct":[101],"villages,":[102],"comparing":[103],"physiochemical":[104],"such":[106,125],"electrical":[108,218],"conductivity,":[109],"pH,":[110],"total":[111,113,121],"alkalinity,":[112],"dissolved":[114],"solids":[115],"(TDS),":[116],"chloride,":[117],"fluoride,":[118],"nitrate,":[119],"hardness.":[122],"Utilizing":[123],"methodologies":[124],"Scott-Sanchis":[128],"(visual)":[129],"method,":[130,132],"SPADNS":[131],"tritimetric,":[133],"titration,":[134],"colorimetry":[136],"methods,":[137,153],"aims":[140],"provide":[142],"detailed":[144],"quality.":[148],"In":[149],"addition":[150],"traditional":[152],"machine":[154],"learning":[155],"techniques":[156],"k-Nearest":[158],"Neighbor":[159],"(KNN),":[160],"Logistic":[161],"Regression":[162],"(LR),":[163],"Support":[165],"Vector":[166],"Machine":[167],"(SVM)":[168],"were":[169],"implemented":[170],"samples.":[173],"These":[174],"ML":[175],"models":[176],"exhibited":[177],"an":[178],"accuracy":[179],"80%":[181],"across":[182],"all":[183],"KNN,":[184],"LR,":[185],"SVM":[187],"models.":[188],"Comparison":[189],"results":[193],"specific":[195],"areas":[196],"standards":[198],"set":[199],"Bureau":[201],"Indian":[203],"Standards":[204],"(BIS)":[205],"World":[207],"Health":[208],"Organization":[209],"(WHO)":[210],"revealed":[211],"some":[212],"regions":[213],"elevated":[215],"levels":[216],"conductivity":[219],"(EC),":[220],"TDS,":[221],"fluoride.":[223],"findings":[225],"underscore":[226],"current":[227],"state":[228],"region,":[234],"emphasizing":[235],"importance":[237],"integration":[239],"determining":[241],"sustaining":[243],"these":[247],"areas.":[248]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
