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Stochastic Environmental Research and Risk Assessment
基本信息
期刊名称 Stochastic Environmental Research and Risk Assessment
STOCH ENV RES RISK A
期刊ISSN 1436-3240
期刊官方网站 https://www.springer.com/477
是否OA No
出版商 Springer New York
出版周期 Bimonthly
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始发年份 1987
年文章数 268
影响因子 3.9(2023)  scijournal影响因子  greensci影响因子
中科院SCI期刊分区
大类学科 小类学科 Top 综述
环境科学与生态学3区 ENGINEERING, CIVIL 工程:土木2区
ENGINEERING, ENVIRONMENTAL 工程:环境4区
ENVIRONMENTAL SCIENCES 环境科学3区
STATISTICS & PROBABILITY 统计学与概率论2区
WATER RESOURCES 水资源2区
CiteScore
CiteScore排名 CiteScore SJR SNIP
学科 排名 百分位 7.1 0.879 1.118
Environmental Science
Water Science and Technology
37/261 86%
Engineering
Safety, Risk, Reliability and Quality
34/207 83%
Environmental Science
General Environmental Science
50/233 78%
Environmental Science
Environmental Engineering
51/197 74%
Environmental Science
Environmental Chemistry
50/147 66%
补充信息
自引率 7.7%
H-index 57
SCI收录状况 Science Citation Index Expanded
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PubMed Central (PMC) http://www.ncbi.nlm.nih.gov/nlmcatalog?term=1436-3240%5BISSN%5D
投稿指南
期刊投稿网址 https://submission.nature.com/new-submission/477/3
收稿范围
Stochastic Environmental Research and Risk Assessment (SERRA) publishes research papers, reviews and technical notes on stochastic (i.e., probabilistic and statistical) approaches to environmental sciences and engineering, including the description, modelling and prediction of the spatiotemporal evolution of natural and engineered systems under conditions of uncertainty, risk assessment, interactions of terrestrial and atmospheric environments with people and the ecosystem, and environmental health. Its core aim is to bring together research in various fields of environmental, planetary and health sciences and engineering, providing an interdisciplinary forum for the exchange of ideas, for communicating on issues that cut across disciplinary barriers, and for the dissemination of novel stochastic techniques used in various fields. Contributions may cover measurement, instrumentation and probabilistic / statistical modelling approaches in various fields of science and engineering, including (but not limited to):

Surface and subsurface hydrology, including stochastic hydrology and hydraulics, scale invariant phenomena, fractals and multifractals.
Climate science, meteorology and hydrometeorology, including hydrologic/hydroclimatic variability, hydrologic scaling, and climate change impact assessment.
Natural hazards, environmental risk modelling and assessment, including statistical estimation and modelling of hydrologic and hydroclimatic extremes (i.e., precipitation, droughts and floods), spatiotemporal modelling of the availability of surface-water and groundwater resources, hydroclimatic and environmental risk quantification, catastrophe risk and management of insurance and re-insurance.
Public health and environmental epidemiology, including statistical epidemiology, spatiotemporal spread of infectious diseases, as well as human exposure assessment.
Stochastic approaches (probabilistic and statistical) to modelling the Water, Food, Energy and Health nexus, including socio-economic concepts, complex inter-linkages and compound risk resulting from hydroclimatic conditions, water quality, food security and energy production, as well as population health.
Stochastic approaches to modelling and assessment of the efficiency and sustainability of green infrastructure concepts, including smart solutions and modelling approaches for water usage, reduction of water losses, agricultural irrigation, environmental and ecological health monitoring, and associated modelling approaches.
Compound risk modelling and assessment for the design of critical infrastructure under uncertainty (e.g., observation networks, water supply and sewerage works, flood retention structures, etc.), including modelling tools for organizing integrated solutions for water supply, precision agriculture, ecosystem health monitoring, and characterization of environmental conditions.
Probabilistic assessment of the sustainability of the natural environment, including soil contamination and remediation, air pollution monitoring and control, as well as environmental health effects.
Enviroinformatics and hydroinformatics, including application of data-driven approaches as well as machine and deep learning techniques for estimation, prediction and control of natural and engineered systems.
Geostatistics, spatial and spatiotemporal statistics and analyses of environmental (geophysical and biophysical) processes, including cross-scale integration of Earth system spatiotemporal data (ground level and airborne (e.g. UAV) observations, remote sensing products, model simulation outputs, etc.), emerging patterns and scalable properties of environmental processes, as well as statistical downscaling, interpolation and forecasting techniques for environmental variables.
收录体裁
投稿指南 https://link.springer.com/journal/477/submission-guidelines
投稿模板
参考文献格式
编辑信息

Editor-in-Chief

George Christakos 
Department of Geography 
San Diego State University 
Storm Hall 314 
San Diego, CA 92182-4493, USA
Phone: +1(619) 594-8285
Fax: +1(619) 594-4938 
e-mail: PierianSpring@gmail.com


Advisory Board

J.M. Angulo, Granada, Spain 
A.C. Bagtzoglou, Storrs/CT, USA
A. Brenning, Jena, Germany
A.J. Cannon, British Columbia, Canada 
N.B. Chang, Winter Springs/FL, USA 
C.-C. Chen, Zhunan, Taiwan
J. Chen, Hong Kong, China
V. Ciriello, Bologna, Italy
J.H. Cushman, West Lafayette/IN, USA 
M. Demirel, Portland, OR, USA
A. Fassò, Dalmine, Italy 
A. Guadagnini, Milan, Italy
L. Guadagnini, Barcelona, Spain
D. Hristopulos, Chania/Crete, Greece 
G. Huang, Regina/SK, Canada
B. Hu, Guangzhou, China
A. Kolovos, San Diego, USA
A. Langousis, Patras/Achaea, Greece 
S.-J. Lee, Newark, CA, USA
V. Leiva, Viña del Mar, Chile
H.-Y. Li, Richland/WA, USA
L.-P. Li, Austin, TX, USA 
X. Liang, Shenzhen, China
J. Mateu, Castellon, Spain
A. Menafoglio, Milan, Italy
A.K. Mishra, Clemson/SC, USA
K. Modis, Athens, Greece
J. Niu, Beijing, China
R.A. Olea, Reston/VA, USA
E.K. Paleologos, Abu Dhabi, UAE 
E. Porcu, Valparaiso, Chile
G. Porta, Milan, Italy
F. Serinaldi, Newcastle upon Tyne, UK
G.Severino, Naples, Italy
B. Sivakumar, Sydney, Australia
D.M. Tartakovsky, Stanford/CA, USA
J. Wang, Beijing, China
J. Wu, Hangzhou, China
Y. Wu, Sioux Falls/SD, USA
X. Ye, Newark/NJ, USA
H.-L. Yu, Taipei, Taiwan (R.O.C.) 
Y.-K. Zhang, Shenzhen, China
H. Zhou, Austin/TX, USA


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