Temporal sediment source tracing during storm events in the black soil region, Northeast China

IF 7.3 1区 农林科学 Q1 ENVIRONMENTAL SCIENCES International Soil and Water Conservation Research Pub Date : 2023-07-20 DOI:10.1016/j.iswcr.2023.07.005
Lin Su , Donghao Huang , Lili Zhou , Chengjiu Guo , Baoyong Liu
{"title":"Temporal sediment source tracing during storm events in the black soil region, Northeast China","authors":"Lin Su ,&nbsp;Donghao Huang ,&nbsp;Lili Zhou ,&nbsp;Chengjiu Guo ,&nbsp;Baoyong Liu","doi":"10.1016/j.iswcr.2023.07.005","DOIUrl":null,"url":null,"abstract":"<div><p>Sediment fingerprinting technology is widely used to differentiate sediment sources. However, despite its long-recognized benefits, there it has been seldom applied to assess the variability of sediment sources during storm events. In this study, sediment fingerprinting is used for four storm events to determine the dynamic changes in sediment sources throughout them in the black soil region in Northeast China. Three potential sediment sources—cultivated land, unpaved roads, and gullies—were effectively differentiated using four geochemical tracers (As, Be, Cs, and Cu), with an accuracy of 100%. The relative sediment contribution from each source was determined using linear and Bayesian mixing models. The mean absolute fit (MAF) values of the linear mixing model (MAF<sub>mean</sub> = 0.976–0.949) were higher than those of the Bayesian mixing model (MAF<sub>mean</sub> = 0.921–0.992), indicating that the first performed better. Cultivated land was the primary source of the sediment load, accounting for 59.03% of it (load-weighted mean = 68.29%), followed by the gullies (37.15%, load-weighted mean = 28.09%), and unpaved roads (3.90%, load-weighted mean = 3.69%) for the four storm events. In addition, a high variability in sediment source contribution was observed during the storm events. Cultivated land was the dominant sediment source during storm events with higher sediment concentrations (logarithmic function, r<sup>2</sup> = 0.878, p &lt; 0.01), discharge (linear function, r<sup>2</sup> = 0.452, p &lt; 0.05), and sediment flux (logarithmic function, r<sup>2</sup> = 0.857, p &lt; 0.01), whereas the reverse was observed for gullies. Contrastingly, the contribution of sediment from unpaved roads remained relatively stable during rainfall events. This provides a potential means to assess dynamic changes in sediment contributions from different erosion units. Moreover, it provides data support for exploring soil erosion mechanisms and effective erosion control in the black soil region in Northeast China.</p></div>","PeriodicalId":48622,"journal":{"name":"International Soil and Water Conservation Research","volume":"12 2","pages":"Pages 322-336"},"PeriodicalIF":7.3000,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S209563392300059X/pdfft?md5=a091c13ce2236b6181ff110097aca2f5&pid=1-s2.0-S209563392300059X-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Soil and Water Conservation Research","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S209563392300059X","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Sediment fingerprinting technology is widely used to differentiate sediment sources. However, despite its long-recognized benefits, there it has been seldom applied to assess the variability of sediment sources during storm events. In this study, sediment fingerprinting is used for four storm events to determine the dynamic changes in sediment sources throughout them in the black soil region in Northeast China. Three potential sediment sources—cultivated land, unpaved roads, and gullies—were effectively differentiated using four geochemical tracers (As, Be, Cs, and Cu), with an accuracy of 100%. The relative sediment contribution from each source was determined using linear and Bayesian mixing models. The mean absolute fit (MAF) values of the linear mixing model (MAFmean = 0.976–0.949) were higher than those of the Bayesian mixing model (MAFmean = 0.921–0.992), indicating that the first performed better. Cultivated land was the primary source of the sediment load, accounting for 59.03% of it (load-weighted mean = 68.29%), followed by the gullies (37.15%, load-weighted mean = 28.09%), and unpaved roads (3.90%, load-weighted mean = 3.69%) for the four storm events. In addition, a high variability in sediment source contribution was observed during the storm events. Cultivated land was the dominant sediment source during storm events with higher sediment concentrations (logarithmic function, r2 = 0.878, p < 0.01), discharge (linear function, r2 = 0.452, p < 0.05), and sediment flux (logarithmic function, r2 = 0.857, p < 0.01), whereas the reverse was observed for gullies. Contrastingly, the contribution of sediment from unpaved roads remained relatively stable during rainfall events. This provides a potential means to assess dynamic changes in sediment contributions from different erosion units. Moreover, it provides data support for exploring soil erosion mechanisms and effective erosion control in the black soil region in Northeast China.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
东北黑土区暴雨过程中沉积物源的时间追踪
沉积物指纹识别技术被广泛用于区分沉积物来源。然而,尽管沉积物指纹识别技术的优势早已得到认可,但却很少被用于评估暴雨事件中沉积物来源的变化。本研究利用沉积物指纹识别技术对中国东北黑土区的四次暴雨事件进行了研究,以确定暴雨事件中沉积物来源的动态变化。利用四种地球化学示踪剂(As、Be、Cs 和 Cu)有效区分了三种潜在的沉积物来源--耕地、未铺设路面的道路和沟壑,准确率达到 100%。利用线性和贝叶斯混合模型确定了每个来源的相对沉积物贡献率。线性混合模型的平均绝对拟合值(MAFmean = 0.976-0.949)高于贝叶斯混合模型的平均绝对拟合值(MAFmean = 0.921-0.992),表明前者的性能更好。在四次暴雨事件中,耕地是泥沙负荷的主要来源,占 59.03%(负荷加权平均值 = 68.29%),其次是冲沟(37.15%,负荷加权平均值 = 28.09%)和未铺设路面的道路(3.90%,负荷加权平均值 = 3.69%)。此外,在暴雨事件中观察到的沉积物来源变化很大。在暴雨事件中,耕地是最主要的沉积物来源,其沉积物浓度(对数函数,r2 = 0.878,p <0.01)、排放量(线性函数,r2 = 0.452,p <0.05)和沉积物通量(对数函数,r2 = 0.857,p <0.01)均较高,而沟壑的情况则相反。相反,在降雨事件期间,未铺设路面的道路所产生的沉积物相对稳定。这为评估不同侵蚀单元所产生的沉积物的动态变化提供了一种潜在的方法。此外,它还为探索东北黑土区的水土流失机理和有效的水土流失控制提供了数据支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
International Soil and Water Conservation Research
International Soil and Water Conservation Research Agricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
12.00
自引率
3.10%
发文量
171
审稿时长
49 days
期刊介绍: The International Soil and Water Conservation Research (ISWCR), the official journal of World Association of Soil and Water Conservation (WASWAC) http://www.waswac.org, is a multidisciplinary journal of soil and water conservation research, practice, policy, and perspectives. It aims to disseminate new knowledge and promote the practice of soil and water conservation. The scope of International Soil and Water Conservation Research includes research, strategies, and technologies for prediction, prevention, and protection of soil and water resources. It deals with identification, characterization, and modeling; dynamic monitoring and evaluation; assessment and management of conservation practice and creation and implementation of quality standards. Examples of appropriate topical areas include (but are not limited to): • Conservation models, tools, and technologies • Conservation agricultural • Soil health resources, indicators, assessment, and management • Land degradation • Sustainable development • Soil erosion and its control • Soil erosion processes • Water resources assessment and management • Watershed management • Soil erosion models • Literature review on topics related soil and water conservation research
期刊最新文献
Editorial Board Utilizing geodetectors to identify conditioning factors for gully erosion risk in the black soil region of northeast China Automated quantification of contouring as support practice for improved soil erosion estimation considering ridges Editorial Board Three-dimensional spatiotemporal variation of soil organic carbon and its influencing factors at the basin scale
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1