Assessing the impact of wildfires on water quality using satellite remote sensing: the Lake Baikal case study

M. Pinardi, D. Stroppiana, R. Caroni, Lorenzo Parigi, Giulio Tellina, G. Free, C. Giardino, C. Albergel, M. Bresciani
{"title":"Assessing the impact of wildfires on water quality using satellite remote sensing: the Lake Baikal case study","authors":"M. Pinardi, D. Stroppiana, R. Caroni, Lorenzo Parigi, Giulio Tellina, G. Free, C. Giardino, C. Albergel, M. Bresciani","doi":"10.3389/frsen.2023.1107275","DOIUrl":null,"url":null,"abstract":"Lakes have been observed as sentinels of climate change. In the last decades, global warming and increasing aridity has led to an increase in both the number and severity of wildfires. This has a negative impact on lake catchments by reducing forest cover and triggering cascading effects in freshwater ecosystems. In this work we used satellite remote sensing to analyse potential fire effects on lake water quality of Lake Baikal (Russia), considering the role of runoff and sediment transport, a less studied pathway compared to fire emissions transport. The main objectives of this study were to analyse time series and investigate relationships among fires (i.e., burned area), meteo-climatic parameters and water quality variables (chlorophyll-a, turbidity) for the period 2003–2020. Because Lake Baikal is oligotrophic, we expected detectable changes in water quality variables at selected areas near the three mains tributaries (Upper Angara, Barguzin, Selenga) due to river transport of fire-derived burned material and nutrients. Time series analysis showed seasonal (from April to June) and inter-annual fire occurrence, precipitation patterns (high intensity in summer) and no significant temporal changes for water quality variables during the studied periods. The most severe wildfires occurred in 2003 with the highest burned area detected (36,767 km2). The three lake sub-basins investigated have shown to respond differently according to their morphology, land cover types and meteo-climatic conditions, indicating their importance in determining the response of water variables to the impact of fires. Overall, our finding suggests that Lake Baikal shows resilience in the medium-long term to potential effects of fires and climate change in the region.","PeriodicalId":198378,"journal":{"name":"Frontiers in Remote Sensing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Remote Sensing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/frsen.2023.1107275","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Lakes have been observed as sentinels of climate change. In the last decades, global warming and increasing aridity has led to an increase in both the number and severity of wildfires. This has a negative impact on lake catchments by reducing forest cover and triggering cascading effects in freshwater ecosystems. In this work we used satellite remote sensing to analyse potential fire effects on lake water quality of Lake Baikal (Russia), considering the role of runoff and sediment transport, a less studied pathway compared to fire emissions transport. The main objectives of this study were to analyse time series and investigate relationships among fires (i.e., burned area), meteo-climatic parameters and water quality variables (chlorophyll-a, turbidity) for the period 2003–2020. Because Lake Baikal is oligotrophic, we expected detectable changes in water quality variables at selected areas near the three mains tributaries (Upper Angara, Barguzin, Selenga) due to river transport of fire-derived burned material and nutrients. Time series analysis showed seasonal (from April to June) and inter-annual fire occurrence, precipitation patterns (high intensity in summer) and no significant temporal changes for water quality variables during the studied periods. The most severe wildfires occurred in 2003 with the highest burned area detected (36,767 km2). The three lake sub-basins investigated have shown to respond differently according to their morphology, land cover types and meteo-climatic conditions, indicating their importance in determining the response of water variables to the impact of fires. Overall, our finding suggests that Lake Baikal shows resilience in the medium-long term to potential effects of fires and climate change in the region.
利用卫星遥感评估野火对水质的影响:以贝加尔湖为例研究
湖泊被视为气候变化的哨兵。在过去的几十年里,全球变暖和日益严重的干旱导致了野火的数量和严重程度的增加。这通过减少森林覆盖和触发淡水生态系统的级联效应,对湖泊集水区产生了负面影响。在这项工作中,我们利用卫星遥感分析了火灾对贝加尔湖(俄罗斯)水质的潜在影响,考虑了径流和沉积物运输的作用,与火灾排放运输相比,径流和沉积物运输是一个研究较少的途径。本研究的主要目标是分析时间序列,并调查2003-2020年期间火灾(即燃烧面积)、气象气候参数和水质变量(叶绿素-a、浊度)之间的关系。由于贝加尔湖是贫营养湖泊,我们预计在三条主要支流(上安加拉、巴尔古津和色楞加)附近的选定地区,由于河流运输的火灾燃烧物质和营养物质,水质变量会发生可检测的变化。时间序列分析显示,4 ~ 6月的火灾发生、降水模式(夏季高强度)和年际变化均不显著,水质变量在时间上无显著变化。最严重的野火发生在2003年,探测到的燃烧面积最大(36767平方公里)。所调查的三个湖泊子流域显示出根据其形态、土地覆盖类型和气象气候条件的不同响应,表明它们在确定水变量对火灾影响的响应方面的重要性。总的来说,我们的发现表明,贝加尔湖在中长期内对该地区火灾和气候变化的潜在影响表现出弹性。
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
自引率
0.00%
发文量
0
×
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:481959085
Book学术官方微信