Coastal Water Quality Observation and Numerical Modeling

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Marine Environmental Science".

Deadline for manuscript submissions: 10 July 2025 | Viewed by 1065

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Guest Editor
Laboratório Nacional de Engenharia Civil, Lisbon, Portugal
Interests: environmental quality in coastal areas; water quality and hydrodynamic modeling; nowcast–forecast systems for water quality; in situ data acquisition and online monitoring networks; effects of climate change on water quality and ecological dynamics
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Special Issue Information

Dear Colleagues,

Coastal systems issue multiple ecosystem services, such as aquaculture, marine transportation, water quality regulation, and tourism, providing resilience to coastal communities. These systems are under a multitude of pressures and threats that may affect their environmental quality. The increase in human activities in coastal areas and climate change may exacerbate the impacts and increase the vulnerability of coastal populations.

This Special Issue intends to collect original research articles on all aspects of coastal water quality, presenting a platform for researchers to share their latest findings and exchange ideas on this topic. We invite high-quality research papers on various topics related to coastal water quality monitoring and simulation, including coastal water quality and environmental contamination assessment, numerical modeling of coastal water quality, in situ monitoring and Earth observations, impacts of land-driven contaminants, impacts of climate change, coastal forecast systems, and coastal planning and management. By enhancing our understanding of coastal water quality through these studies, we will contribute to improving the management and conservation of coastal environments.

Dr. Marta Rodrigues
Guest Editor

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Keywords

  • coastal pollution and land-driven contaminants
  • climate change impacts and adaptations
  • coastal eutrophication
  • microplastics
  • scenario analyses and simulations
  • operational modeling
  • machine learning/deep learning/artificial intelligence
  • in situ observations
  • remote sensing
  • risk assessment

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Published Papers (2 papers)

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Research

26 pages, 27571 KiB  
Article
Nutrient Fluxes from the Kamchatka and Penzhina Rivers and Their Impact on Coastal Ecosystems on Both Sides of the Kamchatka Peninsula
by Pavel Semkin, Galina Pavlova, Vyacheslav Lobanov, Kirill Baigubekov, Yuri Barabanshchikov, Sergey Gorin, Maria Shvetsova, Elena Shkirnikova, Olga Ulanova, Anna Ryumina, Ekaterina Lepskaya, Yuliya Fedorets, Yi Xu and Jing Zhang
J. Mar. Sci. Eng. 2025, 13(3), 569; https://doi.org/10.3390/jmse13030569 - 14 Mar 2025
Viewed by 427
Abstract
Catchment areas on volcanic territories in different regions are of great interest since they are enriched with nutrients that contribute significantly to coastal ecosystems. The Kamchatka Peninsula is one of the most active volcanic regions of the world; however, to date, the chemistry [...] Read more.
Catchment areas on volcanic territories in different regions are of great interest since they are enriched with nutrients that contribute significantly to coastal ecosystems. The Kamchatka Peninsula is one of the most active volcanic regions of the world; however, to date, the chemistry of its river waters and the state of its coastal ecosystems remain understudied in connection with volcanism. The two rivers under study are the largest in this region. The Kamchatka River, unlike the Penzhina River, drains volcanic territories, including the areas of the most active volcanoes of the Klyuchevskaya group of volcanoes and the Shiveluch Volcano. The mouth of the Kamchatka River has been shown to have DIP and DIN concentrations of 2.79–3.87 and 10.0–23.8 µM, respectively, during different seasons, which are comparable to rivers in urbanized areas with sewerage and agricultural sources of nutrients. It has been established that volcanoes form high concentrations of nutrients in the catchment area of the Kamchatka River. The Penzhina River has had very low DIP and DIN concentrations of 0.2–0.8 and 0.17–0.35 µM, respectively, near the mouth during different seasons, but high concentrations of DOC, at 5.9 mg/L in spring, which may be due to seasonal thawing of permafrost. During the period of increasing river discharge, seasonal phytoplankton blooms occur in spring and summer in bays of the same name, as shown using satellite data. The biomass of zooplankton in Penzhina Bay is at a level of 100 mg/L, while in Kamchatka Gulf, it exceeds 2000 mg/L. Thus, the biomass of zooplankton in the receiving basin, which is influenced by the runoff of the Kamchatka River with a volcanic catchment area in eastern Kamchatka, is 20 times higher than in the basin, which has a small nutrient flux with the river runoff in northwestern Kamchatka. This study demonstrates the connection between nutrient fluxes from a catchment area and the formation of seasonal phytoplankton blooms and high zooplankton biomass in the coastal area. We also study seasonal, year-to-year, and climatic variability of water discharges and hydrometeorological conditions to understand how nutrient fluxes can change in the foreseeable future and influence coastal ecosystems. Full article
(This article belongs to the Special Issue Coastal Water Quality Observation and Numerical Modeling)
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21 pages, 7334 KiB  
Article
Comparative Study on the Diffusion of Thermal Discharge from Coastal Power Plants in Different Geographical Environments
by Zhijie Chen, Ziqing Wang, Zhi Zeng and Junjian Tang
J. Mar. Sci. Eng. 2025, 13(2), 383; https://doi.org/10.3390/jmse13020383 - 19 Feb 2025
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Abstract
The diffusion characteristics of thermal discharge from coastal power plants were studied by analyzing the Ningde Nuclear Power Plant and Kemen Power Plant, which are located in different geographical regions in China. The former is in the open sea, and the latter is [...] Read more.
The diffusion characteristics of thermal discharge from coastal power plants were studied by analyzing the Ningde Nuclear Power Plant and Kemen Power Plant, which are located in different geographical regions in China. The former is in the open sea, and the latter is in a well-sheltered bay. In the vicinity of the outfall areas of the two power plants, large-area surface temperature observations and tidal current observations were conducted. The results indicate that the thermal discharge diffusion characteristics of coastal power plants located in different geographical environments are significantly different. In the well-sheltered sea area of the Kemen Power Plant, the water temperature diffuses faster along the coast, in line with the direction of tidal movement, and slower in the offshore direction under the influence of rectilinear tidal currents within the bay, resulting in a significantly greater longitudinal diffusion distance of thermal discharge along the shore than the transverse diffusion distance offshore. In the area surrounding the Ningde Nuclear Power Plant, rotational currents diffuse the thermal discharge in various directions, causing the range of temperature rise to expand toward the outer sea. Dominant tidal currents within the tidal cycle in the sea area can influence the distribution of high-temperature rise zones near outfalls. The distribution of high-temperature rise zones predominantly occurs on the side with the higher average tidal velocity, either the ebb tide side if its velocity is greater than that of the flood tide or the flood tide side otherwise. Full article
(This article belongs to the Special Issue Coastal Water Quality Observation and Numerical Modeling)
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