Zhendong Hong , Pengwei Qiu , Yu Xi , Qinghe Zhao , Shengyan Ding
{"title":"利用多示踪剂方法结合贝叶斯混合模型跟踪河岸湿地中硝酸盐的来源和运输途径","authors":"Zhendong Hong , Pengwei Qiu , Yu Xi , Qinghe Zhao , Shengyan Ding","doi":"10.1016/j.catena.2025.109201","DOIUrl":null,"url":null,"abstract":"<div><div>Identifying nitrate (NO<sub>3</sub><sup>−</sup>) sources and key transport pathways is essential to manage diffuse NO<sub>3</sub><sup>−</sup> pollution, particularly in riparian wetlands where nitrate pollution is a major contribution to eutrophication. In this study, we used multiple tracers to assess the contribution of multiple NO<sub>3</sub><sup>−</sup> sources and transport pathways in the riparian wetlands along the lower Yellow River during four hydrological seasons. The results revealed that NO<sub>3</sub><sup>−</sup> concentrations in approximately 12.2 % riparian wetland water along the lower Yellow River were higher than the Chinese government and WHO allowed threshold (10 mg/L), particularly in wetlands outside the dykes during high flow seasons. The signature of hydrochemical parameters and stable isotopes (δ<sup>15</sup>N-NO<sub>3</sub><sup>−</sup>, δ<sup>18</sup>O-NO<sub>3</sub><sup>−</sup> and δ<sup>18</sup>O-H<sub>2</sub>O) values illustrated multiple sources recharge NO<sub>3</sub><sup>−</sup> levels in riparian wetland water, rather than biogeochemical processes. A Bayesian mixing model based on dual nitrate isotope values further revealed that chemical fertilizer (35 %), soil organic nitrogen (33 %), and manure/sewage (26 %) served as the main NO<sub>3</sub><sup>–</sup> source recharging riparian wetlands water. Of the main nitrate transport pathways, groundwater (34 %), the Yellow River (33 %), and canal water (28 %) contributed more to riparian wetlands water pollution that did atmospheric deposition (precipitation). However, both source and the relative importance of certain transport pathways of NO<sub>3</sub><sup>−</sup> varied both spatially and temporally. These results are critical for better informing the management and restoration of riparian wetlands.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"257 ","pages":"Article 109201"},"PeriodicalIF":5.7000,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tracking nitrate sources and transport pathways in riparian wetlands using a multi-tracer approach combined with a Bayesian mixing model\",\"authors\":\"Zhendong Hong , Pengwei Qiu , Yu Xi , Qinghe Zhao , Shengyan Ding\",\"doi\":\"10.1016/j.catena.2025.109201\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Identifying nitrate (NO<sub>3</sub><sup>−</sup>) sources and key transport pathways is essential to manage diffuse NO<sub>3</sub><sup>−</sup> pollution, particularly in riparian wetlands where nitrate pollution is a major contribution to eutrophication. In this study, we used multiple tracers to assess the contribution of multiple NO<sub>3</sub><sup>−</sup> sources and transport pathways in the riparian wetlands along the lower Yellow River during four hydrological seasons. The results revealed that NO<sub>3</sub><sup>−</sup> concentrations in approximately 12.2 % riparian wetland water along the lower Yellow River were higher than the Chinese government and WHO allowed threshold (10 mg/L), particularly in wetlands outside the dykes during high flow seasons. The signature of hydrochemical parameters and stable isotopes (δ<sup>15</sup>N-NO<sub>3</sub><sup>−</sup>, δ<sup>18</sup>O-NO<sub>3</sub><sup>−</sup> and δ<sup>18</sup>O-H<sub>2</sub>O) values illustrated multiple sources recharge NO<sub>3</sub><sup>−</sup> levels in riparian wetland water, rather than biogeochemical processes. A Bayesian mixing model based on dual nitrate isotope values further revealed that chemical fertilizer (35 %), soil organic nitrogen (33 %), and manure/sewage (26 %) served as the main NO<sub>3</sub><sup>–</sup> source recharging riparian wetlands water. Of the main nitrate transport pathways, groundwater (34 %), the Yellow River (33 %), and canal water (28 %) contributed more to riparian wetlands water pollution that did atmospheric deposition (precipitation). However, both source and the relative importance of certain transport pathways of NO<sub>3</sub><sup>−</sup> varied both spatially and temporally. These results are critical for better informing the management and restoration of riparian wetlands.</div></div>\",\"PeriodicalId\":9801,\"journal\":{\"name\":\"Catena\",\"volume\":\"257 \",\"pages\":\"Article 109201\"},\"PeriodicalIF\":5.7000,\"publicationDate\":\"2025-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Catena\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S034181622500503X\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GEOSCIENCES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Catena","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S034181622500503X","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
Tracking nitrate sources and transport pathways in riparian wetlands using a multi-tracer approach combined with a Bayesian mixing model
Identifying nitrate (NO3−) sources and key transport pathways is essential to manage diffuse NO3− pollution, particularly in riparian wetlands where nitrate pollution is a major contribution to eutrophication. In this study, we used multiple tracers to assess the contribution of multiple NO3− sources and transport pathways in the riparian wetlands along the lower Yellow River during four hydrological seasons. The results revealed that NO3− concentrations in approximately 12.2 % riparian wetland water along the lower Yellow River were higher than the Chinese government and WHO allowed threshold (10 mg/L), particularly in wetlands outside the dykes during high flow seasons. The signature of hydrochemical parameters and stable isotopes (δ15N-NO3−, δ18O-NO3− and δ18O-H2O) values illustrated multiple sources recharge NO3− levels in riparian wetland water, rather than biogeochemical processes. A Bayesian mixing model based on dual nitrate isotope values further revealed that chemical fertilizer (35 %), soil organic nitrogen (33 %), and manure/sewage (26 %) served as the main NO3– source recharging riparian wetlands water. Of the main nitrate transport pathways, groundwater (34 %), the Yellow River (33 %), and canal water (28 %) contributed more to riparian wetlands water pollution that did atmospheric deposition (precipitation). However, both source and the relative importance of certain transport pathways of NO3− varied both spatially and temporally. These results are critical for better informing the management and restoration of riparian wetlands.
期刊介绍:
Catena publishes papers describing original field and laboratory investigations and reviews on geoecology and landscape evolution with emphasis on interdisciplinary aspects of soil science, hydrology and geomorphology. It aims to disseminate new knowledge and foster better understanding of the physical environment, of evolutionary sequences that have resulted in past and current landscapes, and of the natural processes that are likely to determine the fate of our terrestrial environment.
Papers within any one of the above topics are welcome provided they are of sufficiently wide interest and relevance.