Bathymetric and contemporary sediment quantity assessment for the Lukanga Swamps in central Province, Zambia

IF 2.5 3区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Manoah Muchanga , Henry M. Sichingabula , Moses N. Chisola , Beauty S. Mbale , Gershom Pule , Rowen Jani , Fungai Musana
{"title":"Bathymetric and contemporary sediment quantity assessment for the Lukanga Swamps in central Province, Zambia","authors":"Manoah Muchanga ,&nbsp;Henry M. Sichingabula ,&nbsp;Moses N. Chisola ,&nbsp;Beauty S. Mbale ,&nbsp;Gershom Pule ,&nbsp;Rowen Jani ,&nbsp;Fungai Musana","doi":"10.1016/j.jglr.2025.102646","DOIUrl":null,"url":null,"abstract":"<div><div>Globally, wetlands are under threat and Lukanga Swamps (14,000 km<sup>2</sup>), a wetland of international significance and a Ramsar site, is one of them. This study aimed to assess the bathymetry and sediment quantity of the Lukanga Swamps, identify associated threats, and compare sedimentation with similar wetland case studies. A Hydrographic Survey Boat Sonar Model RC-S2 mounted with a Trimble Hemisphere OmniSTAR Virtual Base Station for Differential Geographic Positioning System was used to measure water depths across Lukanga Swamps (here referred to as the Swamp). Data on sediment depth was collected using a sediment coring method with the aid of a Graduated Sediment Depth Rod. Bathymetric and sediment data were analysed using the Inverse Distance Weighted interpolation method in ArcMap 10.4 Environment. The findings showed that at the time of survey, the water stored in the Swamp was about 2918 million cubic metres (MCM), and about 1200 MCM of the Swamp’s capacity was lost to sedimentation. The study concludes that the Swamp has lost the original storage capacity and Nature-based Solutions are recommended to preserve it. Although other studies have been done on the Lukanga Swamps, we are of the view that this study is a novel contribution to the understanding of the Lukanga Swamps’ storage capacity and sedimentation dynamics by producing, for the first time, a comprehensive bathymetric map and sediment distribution map for the Swamp, which provide firsthand scientific baseline data that allows for future monitoring of the Swamp’s sedimentation rates and storage capacity over time.</div></div>","PeriodicalId":54818,"journal":{"name":"Journal of Great Lakes Research","volume":"51 5","pages":"Article 102646"},"PeriodicalIF":2.5000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Great Lakes Research","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0380133025001406","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Globally, wetlands are under threat and Lukanga Swamps (14,000 km2), a wetland of international significance and a Ramsar site, is one of them. This study aimed to assess the bathymetry and sediment quantity of the Lukanga Swamps, identify associated threats, and compare sedimentation with similar wetland case studies. A Hydrographic Survey Boat Sonar Model RC-S2 mounted with a Trimble Hemisphere OmniSTAR Virtual Base Station for Differential Geographic Positioning System was used to measure water depths across Lukanga Swamps (here referred to as the Swamp). Data on sediment depth was collected using a sediment coring method with the aid of a Graduated Sediment Depth Rod. Bathymetric and sediment data were analysed using the Inverse Distance Weighted interpolation method in ArcMap 10.4 Environment. The findings showed that at the time of survey, the water stored in the Swamp was about 2918 million cubic metres (MCM), and about 1200 MCM of the Swamp’s capacity was lost to sedimentation. The study concludes that the Swamp has lost the original storage capacity and Nature-based Solutions are recommended to preserve it. Although other studies have been done on the Lukanga Swamps, we are of the view that this study is a novel contribution to the understanding of the Lukanga Swamps’ storage capacity and sedimentation dynamics by producing, for the first time, a comprehensive bathymetric map and sediment distribution map for the Swamp, which provide firsthand scientific baseline data that allows for future monitoring of the Swamp’s sedimentation rates and storage capacity over time.
赞比亚中部省Lukanga沼泽的水深和当代泥沙量评价
在全球范围内,湿地正受到威胁,具有国际意义的湿地和拉姆萨尔湿地——Lukanga swamp(14000平方公里)就是其中之一。本研究旨在评估鲁康加沼泽的水深和沉积物数量,确定相关的威胁,并与类似的湿地案例进行比较。利用RC-S2型水文测量船声纳模型,安装了Trimble半球OmniSTAR差分地理定位系统虚拟基站,对陆坎加沼泽(此处简称沼泽)进行了水深测量。沉积物深度数据的采集采用了沉积物取心法,并借助分级沉积物深度杆。利用arcmap10.4环境中的逆距离加权插值方法对水深和沉积物数据进行分析。调查结果显示,在调查时,沼泽的储水量约为2.918亿立方米,其中约1200亿立方米的沼泽容量因沉积而损失。该研究的结论是,沼泽已经失去了原有的储存能力,建议采用基于自然的解决方案来保护它。虽然已有其他研究对陆坎加沼泽进行了研究,但我们认为,本研究首次绘制了陆坎加沼泽的综合水深图和沉积物分布图,为今后监测陆坎加沼泽的沉积速率和储存能力提供了第一手的科学基线数据,对了解陆坎加沼泽的储存能力和沉积动力学做出了新的贡献。
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 求助全文
来源期刊
Journal of Great Lakes Research
Journal of Great Lakes Research 生物-海洋与淡水生物学
CiteScore
5.10
自引率
13.60%
发文量
178
审稿时长
6 months
期刊介绍: Published six times per year, the Journal of Great Lakes Research is multidisciplinary in its coverage, publishing manuscripts on a wide range of theoretical and applied topics in the natural science fields of biology, chemistry, physics, geology, as well as social sciences of the large lakes of the world and their watersheds. Large lakes generally are considered as those lakes which have a mean surface area of >500 km2 (see Herdendorf, C.E. 1982. Large lakes of the world. J. Great Lakes Res. 8:379-412, for examples), although smaller lakes may be considered, especially if they are very deep. We also welcome contributions on saline lakes and research on estuarine waters where the results have application to large lakes.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信