Using a Bayesian isotope mixing model to assess nitrate sources in groundwater: A case study of Granvillebrook and Kingtom dumpsites, Sierra Leone

IF 2.2 4区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Journal of African Earth Sciences Pub Date : 2025-02-18 DOI:10.1016/j.jafrearsci.2025.105585
Abdul Aziz Sankoh , Nana Sarfo Agyemang Derkyi , Cynthia Laar , Augustine Ovie Edegbene , Jacob Asomaning , Joseph Amara , Ronnie Frazer-Williams
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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 NO3 and hydrochemical data into the SIMMR model to assess the proportional sources of NO3 in groundwater samples at the Granvillebrook and Kingtom dumpsites. The bi-plot analysis of δ15N versus δ18O-NO3 revealed that the NO3 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-NO3 provided detailed insights. At the Granvillebrook dumpsite, SON emerged as the primary contributor (43.6%) to NO3 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 NO3 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 NO3 in groundwater. The study underscores that coupling δ15N and DO in the SIMMR model is a more efficient method for quantifying the contributions of NO3 sources from MAL, SON, and DW. This research bridges a knowledge gap by providing novel insights into NO3 source analysis, serving as a foundational resource for future NO3 isotope studies in groundwaters near dumpsites. Assessing the temporal variations and sources of NO3 can support the development of improved agricultural management practices and sewage disposal programs, to sustain water quality in wells near dumpsites.
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R 中的稳定同位素混合模型(SIMMR)被证明是量化多种来源对混合物的相对贡献的可靠方法。在本研究中,我们将 NO3- 的稳定同位素和水化学数据整合到 SIMMR 模型中,以评估 Granvillebrook 和 Kingtom 倾倒场地下水样本中 NO3- 的比例来源。δ15N与δ18O-NO3-的双图分析表明,垃圾场中的 NO3-主要来自粪便和渗滤液(MAL)、土壤有机氮(SON)和生活废水(DW),这证实了反硝化和氨挥发的普遍性。此外,δ15N 与 δ18O-NO3- 的 SIMMR 分析提供了详细的见解。在 Granvillebrook 垃圾场,SON 是地下水中 NO3- 的主要来源(43.6%),其次是 MAL(31%)和 DW(17%)。在 Kingtom 地区,MAL(32.2%)、SON(28.0%)和 DW(26.3%)是 NO3-的主要来源。此外,δ15N 与溶解氧 (DO) 的 SIMMR 分析表明,MAL 在向 Granvillebrook 垃圾场的地下水提供 NO3- 方面发挥了主要作用(61.1%),其次是 SON(23.8%)和 DW(15.1%)。在 Kingtom 垃圾场,DW(55.0%)、SON(29.1%)和 MAL(15.9%)被确定为地下水中 NO3- 的主要来源。该研究强调,在 SIMMR 模型中将 δ15N 和溶解氧耦合是量化 MAL、SON 和 DW 的 NO3-来源的更有效方法。这项研究填补了知识空白,为氮氧化物来源分析提供了新的见解,为今后垃圾场附近地下水的氮氧化物同位素研究提供了基础资源。对 NO3- 的时间变化和来源进行评估,有助于制定更好的农业管理方法和污水处理计划,以维持垃圾场附近水井的水质。
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来源期刊
Journal of African Earth Sciences
Journal of African Earth Sciences 地学-地球科学综合
CiteScore
4.70
自引率
4.30%
发文量
240
审稿时长
12 months
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.
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