Abdul Aziz Sankoh , Nana Sarfo Agyemang Derkyi , Cynthia Laar , Augustine Ovie Edegbene , Jacob Asomaning , Joseph Amara , Ronnie Frazer-Williams
{"title":"Using a Bayesian isotope mixing model to assess nitrate sources in groundwater: A case study of Granvillebrook and Kingtom dumpsites, Sierra Leone","authors":"Abdul Aziz Sankoh , Nana Sarfo Agyemang Derkyi , Cynthia Laar , Augustine Ovie Edegbene , Jacob Asomaning , Joseph Amara , Ronnie Frazer-Williams","doi":"10.1016/j.jafrearsci.2025.105585","DOIUrl":null,"url":null,"abstract":"<div><div>The stable isotope mixing model in R (SIMMR) proves to be a robust method for quantifying the relative contributions of multiple sources to a mixture. In this study, we integrated the stable isotopes of <span><math><mrow><msubsup><mtext>NO</mtext><mn>3</mn><mo>−</mo></msubsup></mrow></math></span> and hydrochemical data into the SIMMR model to assess the proportional sources of <span><math><mrow><msubsup><mtext>NO</mtext><mn>3</mn><mo>−</mo></msubsup></mrow></math></span> in groundwater samples at the Granvillebrook and Kingtom dumpsites. The bi-plot analysis of δ<sup>15</sup>N versus δ<sup>18</sup>O-<span><math><mrow><msubsup><mtext>NO</mtext><mn>3</mn><mo>−</mo></msubsup></mrow></math></span> revealed that the <span><math><mrow><msubsup><mtext>NO</mtext><mn>3</mn><mo>−</mo></msubsup></mrow></math></span> in the dumpsites predominantly originated from manure and leachate (MAL), soil organic-N (SON) and domestic wastewater (DW) confirming the prevalence of denitrification and ammonia volatilization. Furthermore, SIMMR analysis of δ<sup>15</sup>N versus δ<sup>18</sup>O-<span><math><mrow><msubsup><mtext>NO</mtext><mn>3</mn><mo>−</mo></msubsup></mrow></math></span> provided detailed insights. At the Granvillebrook dumpsite, SON emerged as the primary contributor (43.6%) to <span><math><mrow><msubsup><mtext>NO</mtext><mn>3</mn><mo>−</mo></msubsup></mrow></math></span> in groundwater, followed by MAL (31%) and DW (17%). In the Kingtom area, significant contributions came from MAL (32.2%), SON (28.0%), and DW (26.3%). Additionally, SIMMR analysis of δ<sup>15</sup>N versus dissolved oxygen (DO) indicated that MAL played a predominant role (61.1%) in contributing <span><math><mrow><msubsup><mtext>NO</mtext><mn>3</mn><mo>−</mo></msubsup></mrow></math></span> to the groundwaters of the Granvillebrook dumpsite, followed by SON (23.8%) and DW (15.1%). In the Kingtom dumpsite, DW (55.0%), SON (29.1%), and MAL (15.9%) were identified as the major contributors to <span><math><mrow><msubsup><mtext>NO</mtext><mn>3</mn><mo>−</mo></msubsup></mrow></math></span> in groundwater. The study underscores that coupling δ<sup>15</sup>N and DO in the SIMMR model is a more efficient method for quantifying the contributions of <span><math><mrow><msubsup><mtext>NO</mtext><mn>3</mn><mo>−</mo></msubsup></mrow></math></span> sources from MAL, SON, and DW. This research bridges a knowledge gap by providing novel insights into <span><math><mrow><msubsup><mtext>NO</mtext><mn>3</mn><mo>−</mo></msubsup></mrow></math></span> source analysis, serving as a foundational resource for future <span><math><mrow><msubsup><mtext>NO</mtext><mn>3</mn><mo>−</mo></msubsup></mrow></math></span> isotope studies in groundwaters near dumpsites. Assessing the temporal variations and sources of <span><math><mrow><msubsup><mtext>NO</mtext><mn>3</mn><mo>−</mo></msubsup></mrow></math></span> can support the development of improved agricultural management practices and sewage disposal programs, to sustain water quality in wells near dumpsites.</div></div>","PeriodicalId":14874,"journal":{"name":"Journal of African Earth Sciences","volume":"226 ","pages":"Article 105585"},"PeriodicalIF":2.2000,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of African Earth Sciences","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1464343X25000524","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The stable isotope mixing model in R (SIMMR) proves to be a robust method for quantifying the relative contributions of multiple sources to a mixture. In this study, we integrated the stable isotopes of and hydrochemical data into the SIMMR model to assess the proportional sources of in groundwater samples at the Granvillebrook and Kingtom dumpsites. The bi-plot analysis of δ15N versus δ18O- revealed that the in the dumpsites predominantly originated from manure and leachate (MAL), soil organic-N (SON) and domestic wastewater (DW) confirming the prevalence of denitrification and ammonia volatilization. Furthermore, SIMMR analysis of δ15N versus δ18O- provided detailed insights. At the Granvillebrook dumpsite, SON emerged as the primary contributor (43.6%) to in groundwater, followed by MAL (31%) and DW (17%). In the Kingtom area, significant contributions came from MAL (32.2%), SON (28.0%), and DW (26.3%). Additionally, SIMMR analysis of δ15N versus dissolved oxygen (DO) indicated that MAL played a predominant role (61.1%) in contributing to the groundwaters of the Granvillebrook dumpsite, followed by SON (23.8%) and DW (15.1%). In the Kingtom dumpsite, DW (55.0%), SON (29.1%), and MAL (15.9%) were identified as the major contributors to in groundwater. The study underscores that coupling δ15N and DO in the SIMMR model is a more efficient method for quantifying the contributions of sources from MAL, SON, and DW. This research bridges a knowledge gap by providing novel insights into source analysis, serving as a foundational resource for future isotope studies in groundwaters near dumpsites. Assessing the temporal variations and sources of can support the development of improved agricultural management practices and sewage disposal programs, to sustain water quality in wells near dumpsites.
期刊介绍:
The Journal of African Earth Sciences sees itself as the prime geological journal for all aspects of the Earth Sciences about the African plate. Papers dealing with peripheral areas are welcome if they demonstrate a tight link with Africa.
The Journal publishes high quality, peer-reviewed scientific papers. It is devoted primarily to research papers but short communications relating to new developments of broad interest, reviews and book reviews will also be considered. Papers must have international appeal and should present work of more regional than local significance and dealing with well identified and justified scientific questions. Specialised technical papers, analytical or exploration reports must be avoided. Papers on applied geology should preferably be linked to such core disciplines and must be addressed to a more general geoscientific audience.