雜志介紹

Stochastic Environmental Research And Risk Assessment雜志介紹

《Stochastic Environmental Research And Risk Assessment》是一本以English為主的未開放獲取國際優(yōu)秀期刊，中文名稱隨機(jī)環(huán)境研究和風(fēng)險(xiǎn)評估，本刊主要出版、報(bào)道環(huán)境科學(xué)與生態(tài)學(xué)-STATISTICS & PROBABILITY領(lǐng)域的研究動(dòng)態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗(yàn)和科研成果，介紹該領(lǐng)域有關(guān)本專業(yè)的最新進(jìn)展，探討行業(yè)發(fā)展的思路和方法，以促進(jìn)學(xué)術(shù)信息交流，提高行業(yè)發(fā)展。該刊已被國際權(quán)威數(shù)據(jù)庫SCIE收錄，為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動(dòng)作用，也得到了本專業(yè)人員的廣泛認(rèn)可。該刊最新影響因子為3.9，最新CiteScore 指數(shù)為7.1。

本刊近期中國學(xué)者發(fā)表的論文主要有：

• 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

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

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

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

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

• 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

英文介紹

Stochastic Environmental Research And Risk Assessment雜志英文介紹

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.