Factors Influencing the Spatio-Temporal Distribution of Chlorophyll-a in Jinmeng Bay, China
Field observations were combined with a coupled hydrodynamic and water quality model to investigate the spatial and temporal variation in Chlorophyll-a (Chl-a) in Jinmeng Bay, China. The relatively high Chl-a values were distributed in the inshore waters, mainly due to the abundant nutrient inflow f...
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MDPI AG
2024-02-01
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Online Access: | https://www.mdpi.com/2077-1312/12/3/384 |
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author | Dan Wang Cuiping Kuang Gang Wang Jiantao Liu Wei Song Rongrong Xing Qingping Zou |
author_facet | Dan Wang Cuiping Kuang Gang Wang Jiantao Liu Wei Song Rongrong Xing Qingping Zou |
author_sort | Dan Wang |
collection | DOAJ |
description | Field observations were combined with a coupled hydrodynamic and water quality model to investigate the spatial and temporal variation in Chlorophyll-a (Chl-a) in Jinmeng Bay, China. The relatively high Chl-a values were distributed in the inshore waters, mainly due to the abundant nutrient inflow from the Tanghe River. The model’s results indicate that the Chl-a concentration was much higher in seaweed beds surrounded by artificial islands and reefs under the southeasterly wind, largely due to the fact that pollutants are prone to accumulate in coastal areas where flow is attenuated by the presence of natural and artificial marine structures. It was also found that the southwesterly winds suppress the inflow of nutrients from the Tanghe River to the coastal areas, and, therefore, lower the Chl-a levels. River input and wind forcing are the major factors that influence Chl-a concentrations in the anthropogenically influenced bay. This finding provides useful guidance for the prediction and mitigation of green tides in Jinmeng Bay in the future. |
first_indexed | 2024-04-24T18:07:50Z |
format | Article |
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issn | 2077-1312 |
language | English |
last_indexed | 2024-04-24T18:07:50Z |
publishDate | 2024-02-01 |
publisher | MDPI AG |
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series | Journal of Marine Science and Engineering |
spelling | doaj.art-2e3fe1280954404e839860b04df421b92024-03-27T13:49:07ZengMDPI AGJournal of Marine Science and Engineering2077-13122024-02-0112338410.3390/jmse12030384Factors Influencing the Spatio-Temporal Distribution of Chlorophyll-a in Jinmeng Bay, ChinaDan Wang0Cuiping Kuang1Gang Wang2Jiantao Liu3Wei Song4Rongrong Xing5Qingping Zou6College of Civil Engineering, Tongji University, Shanghai 200092, ChinaCollege of Civil Engineering, Tongji University, Shanghai 200092, ChinaThe Eighth Geological Brigade, Hebei Geological and Mineral Exploration Development Bureau, Qinhuangdao 066001, ChinaThe Eighth Geological Brigade, Hebei Geological and Mineral Exploration Development Bureau, Qinhuangdao 066001, ChinaKey Laboratory of Science and Engineering for Marine Ecology and Environment, The First Institute of Oceanography, Ministry of Natural Resources of People’s Republic of China, Qingdao 266061, ChinaThe Eighth Geological Brigade, Hebei Geological and Mineral Exploration Development Bureau, Qinhuangdao 066001, ChinaThe Lyell Centre for Earth and Marine Science and Technology, Institute for Infrastructure and Environment, Heriot-Watt University, Edinburgh EH14 4AS, UKField observations were combined with a coupled hydrodynamic and water quality model to investigate the spatial and temporal variation in Chlorophyll-a (Chl-a) in Jinmeng Bay, China. The relatively high Chl-a values were distributed in the inshore waters, mainly due to the abundant nutrient inflow from the Tanghe River. The model’s results indicate that the Chl-a concentration was much higher in seaweed beds surrounded by artificial islands and reefs under the southeasterly wind, largely due to the fact that pollutants are prone to accumulate in coastal areas where flow is attenuated by the presence of natural and artificial marine structures. It was also found that the southwesterly winds suppress the inflow of nutrients from the Tanghe River to the coastal areas, and, therefore, lower the Chl-a levels. River input and wind forcing are the major factors that influence Chl-a concentrations in the anthropogenically influenced bay. This finding provides useful guidance for the prediction and mitigation of green tides in Jinmeng Bay in the future.https://www.mdpi.com/2077-1312/12/3/384Chlorophyll-a concentrationnumerical modelingnutrientsresidual currentwind |
spellingShingle | Dan Wang Cuiping Kuang Gang Wang Jiantao Liu Wei Song Rongrong Xing Qingping Zou Factors Influencing the Spatio-Temporal Distribution of Chlorophyll-a in Jinmeng Bay, China Journal of Marine Science and Engineering Chlorophyll-a concentration numerical modeling nutrients residual current wind |
title | Factors Influencing the Spatio-Temporal Distribution of Chlorophyll-a in Jinmeng Bay, China |
title_full | Factors Influencing the Spatio-Temporal Distribution of Chlorophyll-a in Jinmeng Bay, China |
title_fullStr | Factors Influencing the Spatio-Temporal Distribution of Chlorophyll-a in Jinmeng Bay, China |
title_full_unstemmed | Factors Influencing the Spatio-Temporal Distribution of Chlorophyll-a in Jinmeng Bay, China |
title_short | Factors Influencing the Spatio-Temporal Distribution of Chlorophyll-a in Jinmeng Bay, China |
title_sort | factors influencing the spatio temporal distribution of chlorophyll a in jinmeng bay china |
topic | Chlorophyll-a concentration numerical modeling nutrients residual current wind |
url | https://www.mdpi.com/2077-1312/12/3/384 |
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