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Stochastic Environmental Research And Risk Assessment

Stochastic Environmental Research And Risk AssessmentSCIE

国际简称:STOCH ENV RES RISK A  参考译名:随机环境研究和风险评估

  • 中科院分区

    3区

  • CiteScore分区

    Q1

  • JCR分区

    Q1

基本信息:
ISSN:1436-3240
E-ISSN:1436-3259
是否OA:未开放
是否预警:否
TOP期刊:否
出版信息:
出版地区:GERMANY
出版商:Springer Berlin Heidelberg
出版语言:English
出版周期:Bimonthly
出版年份:1987
研究方向:工程:环境-环境科学
评价信息:
影响因子:3.9
H-index:57
CiteScore指数:7.1
SJR指数:0.879
SNIP指数:1.118
发文数据:
Gold OA文章占比:15.84%
研究类文章占比:97.76%
年发文量:268
自引率:0.0952...
开源占比:0.1375
出版撤稿占比:0
出版国人文章占比:0.2
OA被引用占比:0.0676...
英文简介 期刊介绍 CiteScore数据 中科院SCI分区 JCR分区 发文数据 常见问题

英文简介Stochastic Environmental Research And Risk Assessment期刊介绍

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.

期刊简介Stochastic Environmental Research And Risk Assessment期刊介绍

《Stochastic Environmental Research And Risk Assessment》自1987出版以来,是一本环境科学与生态学优秀杂志。致力于发表原创科学研究结果,并为环境科学与生态学各个领域的原创研究提供一个展示平台,以促进环境科学与生态学领域的的进步。该刊鼓励先进的、清晰的阐述,从广泛的视角提供当前感兴趣的研究主题的新见解,或审查多年来某个重要领域的所有重要发展。该期刊特色在于及时报道环境科学与生态学领域的最新进展和新发现新突破等。该刊近一年未被列入预警期刊名单,目前已被权威数据库SCIE收录,得到了广泛的认可。

该期刊投稿重要关注点:

Cite Score数据(2024年最新版)Stochastic Environmental Research And Risk Assessment Cite Score数据

  • CiteScore:7.1
  • SJR:0.879
  • SNIP:1.118
学科类别 分区 排名 百分位
大类:Environmental Science 小类:Water Science and Technology Q1 37 / 261

86%

大类:Environmental Science 小类:Safety, Risk, Reliability and Quality Q1 34 / 207

83%

大类:Environmental Science 小类:General Environmental Science Q1 50 / 233

78%

大类:Environmental Science 小类:Environmental Engineering Q2 51 / 197

74%

大类:Environmental Science 小类:Environmental Chemistry Q2 50 / 147

66%

CiteScore 是由Elsevier(爱思唯尔)推出的另一种评价期刊影响力的文献计量指标。反映出一家期刊近期发表论文的年篇均引用次数。CiteScore以Scopus数据库中收集的引文为基础,针对的是前四年发表的论文的引文。CiteScore的意义在于,它可以为学术界提供一种新的、更全面、更客观地评价期刊影响力的方法,而不仅仅是通过影响因子(IF)这一单一指标来评价。

历年Cite Score趋势图

中科院SCI分区Stochastic Environmental Research And Risk Assessment 中科院分区

中科院 2023年12月升级版 综述期刊:否 Top期刊:否
大类学科 分区 小类学科 分区
环境科学与生态学 3区 STATISTICS & PROBABILITY 统计学与概率论 ENGINEERING, CIVIL 工程:土木 ENGINEERING, ENVIRONMENTAL 工程:环境 ENVIRONMENTAL SCIENCES 环境科学 WATER RESOURCES 水资源 2区 3区 3区 3区 3区

中科院分区表 是以客观数据为基础,运用科学计量学方法对国际、国内学术期刊依据影响力进行等级划分的期刊评价标准。它为我国科研、教育机构的管理人员、科研工作者提供了一份评价国际学术期刊影响力的参考数据,得到了全国各地高校、科研机构的广泛认可。

中科院分区表 将所有期刊按照一定指标划分为1区、2区、3区、4区四个层次,类似于“优、良、及格”等。最开始,这个分区只是为了方便图书管理及图书情报领域的研究和期刊评估。之后中科院分区逐步发展成为了一种评价学术期刊质量的重要工具。

历年中科院分区趋势图

JCR分区Stochastic Environmental Research And Risk Assessment JCR分区

2023-2024 年最新版
按JIF指标学科分区 收录子集 分区 排名 百分位
学科:ENGINEERING, CIVIL SCIE Q1 35 / 181

80.9%

学科:ENGINEERING, ENVIRONMENTAL SCIE Q2 38 / 81

53.7%

学科:ENVIRONMENTAL SCIENCES SCIE Q2 120 / 358

66.6%

学科:STATISTICS & PROBABILITY SCIE Q1 8 / 168

95.5%

学科:WATER RESOURCES SCIE Q1 28 / 127

78.3%

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:ENGINEERING, CIVIL SCIE Q1 29 / 181

84.25%

学科:ENGINEERING, ENVIRONMENTAL SCIE Q1 16 / 81

80.86%

学科:ENVIRONMENTAL SCIENCES SCIE Q1 72 / 359

80.08%

学科:STATISTICS & PROBABILITY SCIE Q1 18 / 168

89.58%

学科:WATER RESOURCES SCIE Q1 20 / 127

84.65%

JCR分区的优势在于它可以帮助读者对学术文献质量进行评估。不同学科的文章引用量可能存在较大的差异,此时单独依靠影响因子(IF)评价期刊的质量可能是存在一定问题的。因此,JCR将期刊按照学科门类和影响因子分为不同的分区,这样读者可以根据自己的研究领域和需求选择合适的期刊。

历年影响因子趋势图

发文数据

2023-2024 年国家/地区发文量统计
  • 国家/地区数量
  • CHINA MAINLAND169
  • USA85
  • Iran48
  • Italy46
  • Spain45
  • India37
  • Canada36
  • Australia30
  • England30
  • Taiwan23

本刊中国学者近年发表论文

  • 1、Development of adaptive standardized precipitation index and its application in the Tibet Plateau region

    Author: Li, Zhenya; Riaz, Saba; Qamar, Sadia; Ali, Zulfiqar; Abbasi, Javeria Nawaz; Fayyaz, Rabia

    Journal: STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT. 2023; Vol. 37, Issue 2, pp. 557-575. DOI: 10.1007/s00477-022-02279-y

  • 2、Real-time flood forecasting based on a general dynamic neural network framework

    Author: Wan, Xinyu; Wu, Qingyang; Cao, Zhenyu; Wu, Yan

    Journal: STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT. 2023; Vol. 37, Issue 1, pp. 133-151. DOI: 10.1007/s00477-022-02271-6

  • 3、A hybrid mathematical model for estimation of runoff uncertainty influenced by climate drivers

    Author: Zuo, Jingping; Xu, Jianhua; Qian, Cuncun

    Journal: STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT. 2023; Vol. 37, Issue 2, pp. 595-610. DOI: 10.1007/s00477-022-02285-0

  • 4、A hybrid time- and signature-domain Bayesian inference framework for calibration of hydrological models: a case study in the Ren River basin in China

    Author: Liu, Song; She, Dunxian; Zhang, Liping; Xia, Jun

    Journal: STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT. 2023; Vol. 37, Issue 1, pp. 153-173. DOI: 10.1007/s00477-022-02282-3

  • 5、Statistic evaluation of low-frequency acoustic wave impact on rainfall stimulation

    Author: Wang, Mengyao; Chen, Ji; Li, Jiaye; Wang, Jinzhao; Xie, Hongwei

    Journal: STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT. 2023; Vol. 37, Issue 2, pp. 611-623. DOI: 10.1007/s00477-022-02283-2

  • 6、PM2.5 concentration prediction in Lanzhou, China, using hyperchaotic cuckoo search-extreme learning machine

    Author: Yang, Wenjing; Du, Juan; Jia, Bowen; Yang, Ling; Dong, Renze; Li, Xinyi

    Journal: STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT. 2023; Vol. 37, Issue 1, pp. 261-273. DOI: 10.1007/s00477-022-02293-0

  • 7、Source apportionment and risk assessment of heavy metals in urban soils from a central China city by using positive matrix factorization model coupled with Monte Carlo simulation

    Author: Shen, Lianfeng; Zeng, Jin; Guo, Erhui; Cheng, Yongxia; Li, Limei; Niu, Cunyang; Yuan, Yuan; Ma, Li

    Journal: STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT. 2023; Vol. 37, Issue 1, pp. 291-304. DOI: 10.1007/s00477-022-02297-w

  • 8、Decomposition and convergence analysis of industrial energy consumption in the Yangtze River Delta

    Author: Sun, Dongying; Wang, Shijie; Tian, Gang; Liu, Gang

    Journal: STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s00477-023-02442-z

投稿常见问题

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