Assessing Temporal Variability of Turbidity in Pampean Shallow Lakes (Argentina) Using Three Decades of Landsat Imagery

IF 2.1 3区 环境科学与生态学 Q2 ECOLOGY
Ecohydrology Pub Date : 2025-01-23 DOI:10.1002/eco.2765
Maira Patricia Gayol, María Laura Sánchez, Ana Inés Dogliotti
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Abstract

The Pampean region (Argentina) encompasses thousands of permanent shallow lakes, which can be either in turbid or clear water regimes. The intensification of human activities in this region has led to a general deterioration of their water quality. Remote sensing allows the monitoring of water quality in lakes over large areas and extended periods. The objectives of this study were to analyse temporal variations in turbidity in six shallow lakes using Landsat satellite data (5-TM, 7-ETM+ and 8-OLI) for the period 1987–2020 and to evaluate the impact of total crop area and El Niño Southern Oscillation (ENSO) events on these variations. A semi-analytical turbidity algorithm using reflectance in the red and near-infrared bands was tested against in situ turbidity measurements. The Floating Algal Index (FAI) was used to discard pixels with above-water vegetation. The best performance of the algorithm was achieved using only the near-infrared band for the four turbid lakes, and the red band for the two clear lakes. High vegetation coverage in clear lakes prevented the estimation of the complete turbidity series. A significant positive turbidity trend was observed for turbid lakes during the 2000s, coinciding with a sharp increase in cultivated area. Regarding ENSO, a statistically significant relationship with turbidity was observed for the entire period in one lake, but turbidity peaks coincided with La Niña events in all lakes. This study emphasizes the utility of remote sensing in complementing field studies and thus monitoring regional changes in aquatic systems over long periods.

利用三十年的陆地卫星图像评估潘潘亚浅水湖泊(阿根廷)浑浊度的时间变化
潘潘地区(阿根廷)包括数以千计的永久浅湖,这些湖可以是浑浊的,也可以是清澈的。由于人类活动的加剧,该地区的水质普遍恶化。遥感可以监测大范围和长时间的湖泊水质。本研究的目的是利用Landsat卫星数据(5-TM、7-ETM+和8-OLI)分析1987-2020年期间6个浅湖浊度的时间变化,并评估作物总面积和厄尔Niño南方涛动(ENSO)事件对这些变化的影响。利用红光和近红外波段的反射率对原位浊度测量进行了半解析浊度算法测试。利用浮藻指数(Floating Algal Index, FAI)剔除有水上植被的像元。4个浑浊湖泊仅使用近红外波段,2个清澈湖泊仅使用红色波段,算法性能最佳。清澈湖泊的高植被覆盖妨碍了完整浊度序列的估计。浑浊湖泊在2000年代呈显著的正浊度趋势,与耕地面积的急剧增加相一致。在一个湖泊中,ENSO与浑浊度在整个时期都有统计学上显著的关系,但所有湖泊的浑浊度峰值都与La Niña事件一致。这项研究强调遥感在补充实地研究方面的效用,从而长期监测水生系统的区域变化。
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来源期刊
Ecohydrology
Ecohydrology 环境科学-生态学
CiteScore
5.10
自引率
7.70%
发文量
116
审稿时长
24 months
期刊介绍: Ecohydrology is an international journal publishing original scientific and review papers that aim to improve understanding of processes at the interface between ecology and hydrology and associated applications related to environmental management. Ecohydrology seeks to increase interdisciplinary insights by placing particular emphasis on interactions and associated feedbacks in both space and time between ecological systems and the hydrological cycle. Research contributions are solicited from disciplines focusing on the physical, ecological, biological, biogeochemical, geomorphological, drainage basin, mathematical and methodological aspects of ecohydrology. Research in both terrestrial and aquatic systems is of interest provided it explicitly links ecological systems and the hydrologic cycle; research such as aquatic ecological, channel engineering, or ecological or hydrological modelling is less appropriate for the journal unless it specifically addresses the criteria above. Manuscripts describing individual case studies are of interest in cases where broader insights are discussed beyond site- and species-specific results.
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