A set of tools for predictive modeling of the spatial distribution of oil pollution

\nPollution of water by the oil and oil products poses a great threat to its ecosystem and the development of coastal cities. Knowledge of the features of these processes is crucial for simulation their spreading, analysis, and planning responses in case of unforeseen circumstances. This article discusses a set of tools for predictive modeling the oil pollution spreading, designed to analyse the environmental situation in water objects. The developed complex contains models of the situation of the water environment, transfer and transformation of oil pollution taking into account a number of determining factors. Implementation of models using the developed software will allow making accurate forecasts of the environmental situation in water on an accelerated time. The research results can be used to assess hydrophysical changes at monitoring the geosystems of coastal systems in the South of Russia (for example, the Azov Sea and the Tsimlyansk Reservoir), which are most susceptible to anthropogenic influence, as well as to design schemes for optimal nature management and protection of unique natural waters.\n

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-11-20
DOI
https://doi.org/10.1051/e3sconf/202459204017/pdf
Primary Topic
Aquatic and Environmental Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A set of tools for predictive modeling of the spatial distribution of oil pollution

Springer Link (Chiba Institute of Technology)
Aquatic and Environmental Studies
article

A set of tools for predictive modeling of the spatial distribution of oil pollution

article en

Abstract

\nPollution of water by the oil and oil products poses a great threat to its ecosystem and the development of coastal cities. Knowledge of the features of these processes is crucial for simulation their spreading, analysis, and planning responses in case of unforeseen circumstances. This article discusses a set of tools for predictive modeling the oil pollution spreading, designed to analyse the environmental situation in water objects. The developed complex contains models of the situation of the water environment, transfer and transformation of oil pollution taking into account a number of determining factors. Implementation of models using the developed software will allow making accurate forecasts of the environmental situation in water on an accelerated time. The research results can be used to assess hydrophysical changes at monitoring the geosystems of coastal systems in the South of Russia (for example, the Azov Sea and the Tsimlyansk Reservoir), which are most susceptible to anthropogenic influence, as well as to design schemes for optimal nature management and protection of unique natural waters.\n

Springer Link (Chiba Institute of Technology)
Russian Science Foundation
Sustainable cities and communities
Openalex Percentile: Top 68%
Aquatic and Environmental Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.