国家高新技术企业
杭州市西湖区优秀创新人才“325”计划入选单位
杭州市高层次人才项目

18668047932    pg2020365

chinasupport@papergoing.com

登录 注册

  1. Home
  2. Journals
  3. KSCE Journal of Civil Engineering

KSCE Journal of Civil Engineering

ISSN: 1226-7988

官网: http://link.springer.com/journal/12205

出版商: Springer

Description:

The KSCE Journal of Civil Engineering is a technical monthly journal of the Korean Society of Civil Engineers. The journal reports original study results (both academic and practical) on past practices and present information in all civil engineering fields. The journal publishes original papers within the broad field of civil engineering, which includes, but are not limited to, the following: coastal and harbor engineering, construction management, environmental engineering, geotechnical engineering, highway engineering, hydraulic engineering, information technology, nuclear power engineering, railroad engineering, structural engineering, surveying and geo-spatial engineering, transportation engineering, tunnel engineering, and water resources and hydrologic engineering. Both theoretical and practice-oriented papers, including case studies and reviews, are encouraged. From 2018, the journal will be published monthly including two special issues, consisting of 50 papers per issue.

Title Scholar cited Year Review Cycle Accept Cycle
Mapping risk of levee overtopping using LiDAR data: A case study in Nakdong River Basins, South Korea

Authors：Yunjae Choung

Keywords：LiDAR,levee,overtopping,risk mapping,designed flood level

DOI：10.1007/s12205-015-0452-7

Received：2014-08-08 ; Revised：2014-12-09 ; Accepted：2014-12-10 ; Online：2015-01-20

- 2015 3.6 4.1
Ensemble Climate Projection for Hydro-Meteorological Drought over a river basin in Central Highland, Vietnam

Authors：M. T. Vu,V. S. Raghavan,S.-Y. Liong

Keywords：SWAT,WRF,SPI,SRI,ensemble climate projections

DOI：10.1007/s12205-015-0506-x

Received：2014-09-01 ; Revised：2014-12-04 ; Accepted：2015-01-05 ; Online：2015-01-20

- 2015 2.7 4.2
Effect of threshold on the comparison of radar and rain gauge rain rate

Authors：Eunho Ha,Chulsang Yoo,Jungsoo Yoon

Keywords：radar rain rate,rain gauge rain rate,threshold,systematic bias

DOI：10.1007/s12205-015-0482-1

Received：2014-08-21 ; Revised：2014-10-20 ; Accepted：2014-10-28 ; Online：2015-01-20

- 2015 1.5 2.3
Multistep-ahead flood forecasting using wavelet and data-driven methods

Authors：Youngmin Seo,Sungwon Kim,Vijay P. Singh

Keywords：flood stage forecasting,discrete wavelet decomposition,data-driven methods,artificial neural network,adaptive neuro-fuzzy inference system,Wavelet-based ANN,Wavelet-based ANFIS

DOI：10.1007/s12205-015-1483-9

Received：2014-08-22 ; Revised：2014-11-11 ; Accepted：2014-12-04 ; Online：2015-01-20

- 2015 2.2 3.5
Numerical simulation of artificial groundwater recharge for controlling land subsidence

Authors：Yu Huang,Yang Yang,Jinglin Li

Keywords：artificial groundwater recharge,land subsidence,numerical simulation,site recharge test,Shanghai

DOI：10.1007/s12205-015-0505-y

Received：2014-09-01 ; Revised：2014-12-16 ; Accepted：2014-12-30 ; Online：2015-01-20

- 2015 3.1 4
Application of Bayesian Markov Chain Monte Carlo method with mixed gumbel distribution to estimate extreme magnitude of tsunamigenic earthquake

Authors：Ji Yae Shin,Si Chen,Tae-Woong Kim

Keywords：bayesian MCMC,frequency analysis,mixed gumbel,tsunamigenic earthquake

DOI：10.1007/s12205-015-0430-0

Received：2014-08-04 ; Revised：2014-09-28 ; Accepted：2014-10-27 ; Online：2015-01-20

- 2015 1.4 2.8
Hydro-environmental runoff projection under GCM scenario downscaled by Artificial Neural Network in the Namgang Dam watershed, Korea

Authors：Boosik Kang,Young Do Kim,Jong Mun Lee,Seong Joon Kim

Keywords：climate change,namgang dam,SWAT,GCM scenario,artificial neural network

DOI：10.1007/s12205-015-0580-0

Received：2014-09-29 ; Revised：2014-12-06 ; Accepted：2014-12-07 ; Online：2015-01-20

- 2015 1.8 2.3
Analysis of Drought Length using the BDS statistic and Close Returns Test

Authors：Soojun Kim,Hung Soo Kim,Jaewon Kwak,Yonsoo Kim,Huisung Noh,Jongso Lee

Keywords：drought length,BDS statistic,close returns test,nonlinearity,chaos

DOI：10.1007/s12205-014-0587-y

Received：2014-10-03 ; Revised：2014-11-08 ; Accepted：2014-11-10 ; Online：2015-01-20

- 2015 0.7 1.3
Impact of climate change on hydrological droughts in the upper Namhan River basin, Korea

Authors：Jaewon Kwak,Soojun Kim,Vijay P. Singh,Hung Soo Kim,Duckgil Kim,Seungjin Hong,Keonhaeng Lee

Keywords：climate change,hydrological drought,joint probability distribution,copula theory

DOI：10.1007/s12205-015-0446-5

Received：2014-08-07 ; Revised：2014-11-09 ; Accepted：2014-12-14 ; Online：2015-01-20

- 2015 2.7 4.3
Climate change — Is it the cause or the effect?

Authors：A. W. Jayawardena

Keywords：climate change,global warming,population,IPCC,projection uncertainties,scenarios,paleoclimatology,water and food security

DOI：10.1007/s12205-015-0524-8

Received：2014-09-07 ; Revised：2014-11-24 ; Accepted：2014-12-07 ; Online：2015-01-20

- 2015 2.1 3