Analysis of long-term (2002-2020) trends and peak events in total suspended solids concentrations in the Chesapeake Bay using MODIS imagery
Analysis of long-term (2002-2020) trends and peak events in total suspended solids concentrations in the Chesapeake Bay using MODIS imagery
复制标题
使用 MODIS 图像分析切萨皮克湾总悬浮固体浓度的长期（2002-2020）趋势和峰值事件
DOI：
10.1016/j.jenvman.2021.113550
复制
发表时间：
2021
影响因子：
8.7
通讯作者：
Hijioka Yasuaki
中科院分区：
文献类型：
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作者：
Yunus Ali P.;Masago Yoshifumi;Hijioka Yasuaki
水质监测计划已在世界范围内广泛实施，以监测和评估水质并了解其趋势。然而，基于点源实地观测的水质分析很难在大的空间和时间尺度上进行。基于中分辨率成像光谱仪（MODIS）Terra影像，开发了一种全自动的Google Earth Engine（GEE）应用算法，用于估算切萨皮克湾的总悬浮物（TSS）浓度。结合长期存档的卫星数据（2002-2020年）与现场观测，TSS的浓度和时空格局进行了评估。时间序列分析表明，在2002年和2020年之间的TSS浓度的统计上显着的下降趋势，这表明在海湾的泥沙浓度在过去的二十年中逐渐下降。在海湾60个部分中的49个中观察到下降趋势，这意味着在达到切萨皮克湾水质标准方面取得了实质性进展。根据月TSS分析，在切萨皮克湾识别出12个主要的TSS峰值事件，这些事件与极端冬季暴风雪和夏季飓风事件相吻合。GEE应用程序和本文提出的结果补充了现有的监测计划，以达到海湾的水质标准。
Water quality monitoring programs have been widely implemented worldwide to monitor and assess water quality and to understand its trends. However, water quality analysis based on point-source field observations is difficult to perform at large spatial and temporal scales. In this paper, a fully automated Google Earth Engine (GEE) application algorithm was developed to estimate the total suspended solids (TSS) concentration in the Chesapeake Bay based on the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra imagery. Combining long-term archived satellite data (2002–2020) with field observations, the concentrations and spatiotemporal patterns of TSS in the bay water were evaluated. Time series analysis showed a statistically significant decreasing trend in TSS concentration between 2002 and 2020, suggesting that the sediment concentration in the bay has gradually been decreasing over the last two decades. The decreasing trend was observed in 49 out of 60 segments of the bay, implying that substantial progress has been made toward attaining the Chesapeake Bay water quality standards. Based on the monthly TSS analysis, 12 major peak events of TSS were identified in the Chesapeake Bay, which coincided with extreme winter blizzards and summer hurricane events. The GEE application and the results presented herein complement the existing monitoring program in attaining the water quality standards of the bay.