Nutrient pollutant loading and source apportionment along a Mediterranean river

dc.contributor.authorEl-Nakib, Sania
dc.contributor.authorAlameddine, Ibrahim M.
dc.contributor.authorMassoud, May A.
dc.contributor.authorAbou Najm, Majdi R.
dc.contributor.departmentDepartment of Civil and Environmental Engineering
dc.contributor.departmentEnvironmental Health (ENHL)
dc.contributor.facultyMaroun Semaan Faculty of Engineering and Architecture (MSFEA)
dc.contributor.facultyFaculty of Health Sciences (FHS)
dc.contributor.institutionAmerican University of Beirut
dc.date.accessioned2025-01-24T11:27:44Z
dc.date.available2025-01-24T11:27:44Z
dc.date.issued2020
dc.description.abstractRivers are increasingly being subjected to increased anthropogenic pollution stresses that undermine their designated uses and negatively affect sensitive coastal regions. The degradation of river water quality is attributed to both point and nonpoint sources of pollution. In this study, we determine the relative contribution of point and nonpoint pollutant loads in the Beirut River basin, a poorly monitored seasonal Mediterranean river. Water quality samples were collected on a weekly basis over 2 consecutive years (2016 and 2017) from four sampling sites that represent a gradient of increasing urbanization. Flow-concentration models were first developed to estimate total phosphorus (TP), total nitrogen (TN), and total suspended solids (TSS) loads reaching the different sub-basins. The performance of the regression models varied by location and by pollutant, with improved performance in the downstream sections (adjusted R2 66% for TP and 59% for TN). Loads were also determined using the Beale’s ratio method, which generally underestimated the loads as compared with the regression-based models. The relative contribution of the nonpoint source loads were then quantified using the Open Nonpoint Source Pollution and Erosion Comparison Tool (OpenNSPECT). The results showed that point sources were the main cause of water quality impairment across the entire basin, with load contributions varying between 75% in the headwaters and 98% in the urbanized downstream sections. The adopted modeling approach in this study provides an opportunity to better understand pollutant load dynamics in poorly monitored basins and a mechanism to apportion pollution loads between point and nonpoint sources. © 2020, Springer Nature Switzerland AG.
dc.identifier.doihttps://doi.org/10.1007/s10661-020-8220-7
dc.identifier.eid2-s2.0-85083072348
dc.identifier.pmid32266479
dc.identifier.urihttp://hdl.handle.net/10938/26940
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofEnvironmental Monitoring and Assessment
dc.sourceScopus
dc.subjectBeirut river
dc.subjectLoad estimation
dc.subjectNonpoint sources
dc.subjectOpennspect
dc.subjectPoint sources
dc.subjectWater quality
dc.subjectChina
dc.subjectEnvironmental monitoring
dc.subjectEnvironmental pollutants
dc.subjectNitrogen
dc.subjectNutrients
dc.subjectPhosphorus
dc.subjectRivers
dc.subjectWater pollutants, chemical
dc.subjectMediterranean region
dc.subjectPollution detection
dc.subjectRegression analysis
dc.subjectWater treatment
dc.subjectAnthropogenic pollution
dc.subjectMediterranean rivers
dc.subjectNon-point source pollution
dc.subjectPoint and nonpoint sources
dc.subjectRegression-based model
dc.subjectRelative contribution
dc.subjectTotal suspended solids
dc.subjectWater quality impairment
dc.subjectNonpoint source pollution
dc.subjectNutrient
dc.subjectPollutant
dc.subjectRiver pollution
dc.subjectRiver water
dc.subjectSource apportionment
dc.subjectArticle
dc.subjectPollution monitoring
dc.subjectPollution transport
dc.subjectRiver
dc.subjectRiver basin
dc.subjectSouthern europe
dc.subjectSuspended particulate matter
dc.subjectUrbanization
dc.subjectWater flow
dc.subjectWater pollutant
dc.subjectChemistry
dc.titleNutrient pollutant loading and source apportionment along a Mediterranean river
dc.typeArticle

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