Stochastic Environmental Research and Risk Assessment

SJR Rank #6,428H-index: 96SJR: 0.840Best quartile: Q1APC: US$4,090
Journal website: aims, scope and author guidelines
Publisher

Springer Science and Business Media Deutschland GmbH

Country

Germany

Type

journal

SJR by Edition

2022202500.250.50.751

Subject Categories

  • Safety, Risk, Reliability and QualityQ1
  • Statistics and ProbabilityQ1
  • Water Science and TechnologyQ1
  • Environmental ChemistryQ2
  • Environmental EngineeringQ2
  • Environmental Science (miscellaneous)Q2

Areas: Engineering · Environmental Science · Mathematics

Most published research topics

Hydrology and Drought AnalysisHydrology and Watershed Management StudiesClimate variability and modelsFlood Risk Assessment and ManagementHydrological Forecasting Using AISoil Geostatistics and MappingGroundwater flow and contamination studiesWater resources management and optimizationMeteorological Phenomena and SimulationsAir Quality and Health Impacts

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs0200400600800

Documents per Year

20222025080160240320

Detailed Information

ISSN

1436-3259, 1436-3240

SJR Best Quartile

Q1

Region

Western Europe

Citations per Document (2 years)

4.26

References per Document

65.66

Coverage

1996, 1999-2026

Scope

Stochastic Environmental Research and Risk Assessment (SERRA) will publish research papers, reviews and technical notes on stochastic and probabilistic approaches to environmental sciences and engineering, including interactions of earth and atmospheric environments with people and ecosystems. The basic idea is to bring together research papers on stochastic modelling in various fields of environmental sciences and to provide an interdisciplinary forum for the exchange of ideas, for communicating on issues that cut across disciplinary barriers, and for the dissemination of stochastic techniques used in different fields to the community of interested researchers. Original contributions will be considered dealing with modelling (theoretical and computational), measurements and instrumentation in one or more of the following topical areas: - Spatiotemporal analysis and mapping of natural processes. - Enviroinformatics. - Environmental risk assessment, reliability analysis and decision making. - Surface and subsurface hydrology and hydraulics. - Multiphase porous media domains and contaminant transport modelling. - Hazardous waste site characterization. - Stochastic turbulence and random hydrodynamic fields. - Chaotic and fractal systems. - Random waves and seafloor morphology. - Stochastic atmospheric and climate processes. - Air pollution and quality assessment research. - Modern geostatistics. - Mechanisms of pollutant formation, emission, exposure and absorption. - Physical, chemical and biological analysis of human exposure from single and multiple media and routes; control and protection. - Bioinformatics. - Probabilistic methods in ecology and population biology. - Epidemiological investigations. - Models using stochastic differential equations stochastic or partial differential equations. - Hazardous waste site characterization.

Metrics from SCImago Journal Rank 2025. View on SCImago