Use of multimedia models (MMMs) has been limited in exposure assessment for aquatic ecosystems at local scale typically due to their coarse spatial resolution and inability to predict the individual concentrations of multiple streams within a watershed cell. An MMM named ECORAME is presented which overcomes the limitations by treating each water segment as an independent cell rather than a compartment within a watershed cell. This offers two advantages for exposure assessment, i.e., i) the spatial resolution for water is readily adjustable and ii) multiple water streams within one watershed cell could be handled individually. Model evaluation with respect to polycyclic aromatic hydrocarbons (PAHs) demonstrated that ECORAME's prediction of relative concentration agreed with measured values within a factor of five or less. A case study of PAHs using ECORAME shows that the concentration can change by more than 10 fold over the 40km main stream stretch of the Han River in Seoul, Korea. The concentration difference among multiple streams in the same watershed cell could be substantial (greater than 100 fold). Besides a need of finer spatial resolutons than those typically used in MMMs, the results strongly suggest that exposure prediction capability for individual streams in the same watershed is necessary for local scale assessment. As demostrated with ECORAME, the need can be effectively met by handling the water segments as individual cells in future MMMs.
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http://dx.doi.org/10.1016/j.scitotenv.2014.08.097 | DOI Listing |
Chemosphere
December 2024
Department of Civil and Environmental Engineering, Dongguk University-Seoul, Seoul 04620, South Korea. Electronic address:
Even at trace concentrations, micropollutants, including pesticides and pharmaceuticals, pose considerable ecological risks, and the increasing presence of synthetic chemical substances in aquatic systems has emerged as a growing concern. Moreover, limited machine-learning (ML) approaches exist for analyzing environmental data, and the increasing complexity of ML models has made it challenging to understand predictor-outcome relationships. In particular, understanding complex interactions among multiple variables remains challenging.
View Article and Find Full Text PDFEnviron Sci Technol
December 2024
Department of Civil and Environmental Engineering, Stanford University, Stanford, California 94305, United States.
California's Bay-Delta watershed encompasses 40% of the state's runoff and serves water supply and irrigation needs throughout the state. A recently amended policy attempts to rebalance water supply and ecological outcomes by requiring 40% of the flow to remain in-stream in the Tuolumne River and other tributaries between February 1 and June 30 each year. This policy impacts water supply diversions serving millions of customers in the San Francisco Bay Area.
View Article and Find Full Text PDFYing Yong Sheng Tai Xue Bao
October 2024
Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Benggang (collapsing hill) erosion is one of the most serious ecological problems in the south of China. Understanding the relationship between Benggang erosion and landscape pattern is conducive to the study of Benggang occurrence and development from the perspective of landscape ecology, with great significance for Benggang prevention and ecological protection. We classified the Lanxi River Basin in Anxi County, Fujian Province into 32 small watersheds.
View Article and Find Full Text PDFHuan Jing Ke Xue
January 2025
Basin Research Center for Water Pollution Control, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
The Beijing-Tianjin-Hebei (Jing-Jin-Ji) Region is home to the most acute economic, resource, and environmental conflicts in the Bohai Sea region, and the rivers entering the sea carry abundant total nitrogen (TN) input into the Bohai Bay, which is the main land-based input causing eutrophication of the bay. The Haihe River Basin in the Jing-Jin-Ji Region was divided into 112 (2018-2019) and 187 (2020-2022) control units, and the spatial and temporal variations in TN concentration in the surface water of the Haihe River Basin in the Jing-Jin-Ji Region were systematically analyzed from 2018 to 2022 by combining the Euclidean distance analysis method and the K-means clustering analysis method. The results showed that the annual average concentration of TN in the region showed a trend of decreasing (2018-2020) and then increasing (2021-2022), in which the concentration of TN increased significantly from June 2021 to June 2022.
View Article and Find Full Text PDFJ Environ Manage
December 2024
Ecology and Environment Institute, Ningbo Academy of Agricultural Science, Ningbo, 315040, China.
Accurate analysis of surface water pollution mechanisms is critical for effective environmental restoration and protection. However, evaluation methods for small watersheds with dense populations and complex pollution sources remain limited. This study integrates partial least squares structural equation modeling (PLS-SEM) with fluorescence fingerprinting data from excitation-emission matrix-parallel factor analysis (EEM-PARAFAC) to investigate nutrient sources in rivers of southeastern China.
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