Mar Menor lagoon (SE Spain) chlorophyll-a and turbidity estimation with Sentinel-2

IF 1.2 4区环境科学与生态学 Q4 LIMNOLOGY

Limnetica Pub Date : 2022-01-01 DOI:10.23818/limn.41.18

Zhan Yeley, J. Delegido, M. Erena, J. Soria, A. Ruiz-Verdú, Patricia Urrego, X. Sòria-Perpinyà, E. Vicente, J. Moreno

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引用次数: 5

Abstract

Mar Menor is a Mediterranean Coastal lagoon with high environmental and social value, but has suffered important episodes of contamination in recent years due to heavy rains, sediment dragging and polluting substances mainly from agriculture as well as the entry of mining waste, causing an increase in eutrophication. Water quality variables such as chlorophyll-a concentration [Chl-a] and turbidity, can be studied through its optical properties by remote sensing techniques. In this work, a methodology is proposed for monitoring [Chl-a] and the turbidity of the Mar Menor using Sentinel-2 images. For this purpose, an extensive database of both variables was used consisting of data taken on different dates between 2016 and 2019 at 12 points of Mar Menor. The images were atmospherically corrected using Case 2 Regional Coast Color Processor (C2RCC) version for turbid waters (C2X) to obtain the water surface reflectance. Then several arithmetic relations between database and reflectance bands used in the bibliography for [Chl-a] and turbidity were analyzed. Comparing the results of each one of these relations with the in situ data, decided that the best index for [Chl-a] estimation is the relation (R560 + R705)/ (R560 + R665) with an RMSE = 2.6 mg/m3 and a NRMSE = 9.1 % and for turbidity R705*R705/R490 with an RMSE = 1.5 NTU and a NRMSE= 10.9 %. Finally, by applying these relationships on different dates, thematic maps of [Chl-a] and turbidity of Mar Menor were obtained. One of these images was some days after September 2019 torrential rains, in which a considerable [Chl-a] and turbidity increase was observed

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用Sentinel-2估算Mar Menor泻湖(西班牙东南部)的叶绿素-a和浊度

Mar Menor是地中海沿岸的一个泻湖，具有很高的环境和社会价值，但近年来由于暴雨、沉积物拖曳和主要来自农业的污染物质以及采矿废物的进入，造成了富营养化的增加，因此遭受了严重的污染事件。水质变量，如叶绿素a浓度和浊度，可以通过遥感技术通过其光学性质来研究。在这项工作中，提出了一种使用Sentinel-2图像监测[Chl-a]和Mar Menor浊度的方法。为此，研究人员使用了一个包含这两个变量的广泛数据库，该数据库由2016年至2019年期间在Mar Menor 12个点的不同日期采集的数据组成。使用Case 2区域海岸彩色处理器(C2RCC)版本对浑浊水域(C2X)进行大气校正，获得水面反射率。在此基础上，分析了[Chl-a]参考文献中数据库与反射率带与浊度之间的几种算法关系。将各关系的结果与现场数据进行比较，确定[Chl-a]估算的最佳指标为(R560 + R705)/ (R560 + R665)关系，RMSE= 2.6 mg/m3, NRMSE= 9.1%;浊度R705*R705/R490的RMSE= 1.5 NTU, NRMSE= 10.9%。最后，通过将这些关系应用于不同的日期，获得了[Chl-a]和Mar Menor浊度的专题图。其中一张图像是在2019年9月暴雨后的几天拍摄的，其中观察到相当大的[Chl-a]和浊度增加

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来源期刊

Limnetica LIMNOLOGY-MARINE & FRESHWATER BIOLOGY

CiteScore

3.70

自引率

7.10%

发文量

审稿时长

>12 weeks

期刊介绍： Limnetica publishes original research articles on the ecology of inland waters. The scope of Limnetica includes the ecology of rivers, lakes, reservoirs, coastal lagoons and wetlands, as well as biogeochemistry, paleolimnology, development of new methodologies, taxonomy, biogeography and any aspect of theoretical and applied continental aquatic ecology such as management and conservation, impact assessment, ecotoxicology and pollution. Limnetica will accept for its publication scientific articles presenting advances in knowledge or technological development, as well as as papers derived from new practical approaches on the topics covered by the journal.