Spatio-temporal distribution and chemical characterization of groundwater quality of a wastewater irrigated system: a case study

cg.contributor.affiliationInternational Water Management Instituteen_US
cg.contributor.crpWater, Land and Ecosystemsen_US
cg.coverage.countryIndiaen_US
cg.coverage.iso3166-alpha2INen_US
cg.coverage.regionAsiaen_US
cg.coverage.regionSouthern Asiaen_US
cg.identifier.doihttps://doi.org/10.1016/j.scitotenv.2018.04.347en_US
cg.issn0048-9697en_US
cg.journalScience of the Total Environmenten_US
cg.reviewStatusPeer Reviewen_US
cg.volume636en_US
dc.contributor.authorJampani, M.en_US
dc.contributor.authorHuelsmann, S.en_US
dc.contributor.authorLiedl, R.en_US
dc.contributor.authorSonkamble, S.en_US
dc.contributor.authorAhmed, S.en_US
dc.contributor.authorAmerasinghe, Priyanie H.en_US
dc.date.accessioned2018-06-06T04:39:16Zen_US
dc.date.available2018-06-06T04:39:16Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/93063en_US
dc.titleSpatio-temporal distribution and chemical characterization of groundwater quality of a wastewater irrigated system: a case studyen_US
dcterms.abstractWastewater irrigation is a common livelihood practice in many parts of the developing world. With the continuous irrigation supply, groundwater systems in these regions perceive adverse impacts due to inadequate infrastructure to treat the wastewater. The current study area, Musi River irrigation system, is one such case study located in the peri-urban Hyderabad of South India. The Musi River water, which is used for irrigation, is composed of untreated and secondary treated wastewater from Hyderabad city. Kachiwani Singaram micro-watershed in the peri-urban Hyderabad is practicing wastewater irrigation for the last 40 years. The current quality of (untreated) wastewater used for irrigation is expected to have adverse impacts on the local aquifers, but detailed investigations are lacking. To elucidate the groundwater quality dynamics and seasonality of the wastewater irrigation impacts on the peri-urban agricultural system, we analyzed the groundwater quality on a monthly basis for one hydrological year in the wastewater and groundwater irrigated areas, which exist next to each other. The spatio-temporal variability of groundwater quality in the watershed was analyzed with respect to wastewater irrigation and seasonality using multivariate statistical analysis, multi-way modeling and self-organizing maps. This study indicates the significance of combining various statistical techniques for detailed evaluation of the groundwater processes in a wastewater irrigated agricultural system. The results suggest that concentrations of the major ionic substances increase after the monsoon season, especially in wastewater irrigated areas. Multi-way modeling identified the major polluted groundwaters to come from the wastewater irrigated parts of the watershed. Clusters of chemical variables identified by using self-organizing maps indicate that groundwater pollution is highly impacted by mineral interactions and long-term wastewater irrigation. The study recommends regular monitoring of water resources and development of sustainable management strategies to mitigate the aquifer pollution in wastewater irrigation systems.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.bibliographicCitationJampani, M.; Huelsmann, S.; Liedl, R.; Sonkamble, S.; Ahmed, S.; Amerasinghe, Priyanie. 2018. Spatio-temporal distribution and chemical characterization of groundwater quality of a wastewater irrigated system: a case study. Science of the Total Environment, 10p. (Online first) doi: 10.1016/j.scitotenv.2018.04.347en_US
dcterms.extentp. 1089-1098en_US
dcterms.issued2018-09en_US
dcterms.languageenen_US
dcterms.licenseCopyrighted; all rights reserveden_US
dcterms.publisherElsevieren_US
dcterms.subjectwastewater irrigationen_US
dcterms.subjectirrigation systemsen_US
dcterms.subjectgroundwateren_US
dcterms.subjectwater qualityen_US
dcterms.subjectwater pollutionen_US
dcterms.subjectperiurban areasen_US
dcterms.subjectmultivariate analysisen_US
dcterms.subjectstatistical analysisen_US
dcterms.subjectmodelsen_US
dcterms.subjectriver basinsen_US
dcterms.subjectirrigation wateren_US
dcterms.subjectaquifersen_US
dcterms.subjectirrigated landen_US
dcterms.subjectperiurban agricultureen_US
dcterms.subjectmonsoon climateen_US
dcterms.subjectcase studiesen_US
dcterms.subjectpollutionen_US
dcterms.subjectenvironmental engineeringen_US
dcterms.typeJournal Articleen_US

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