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Water Resources Management

ISSN: 0920-4741

官网: http://link.springer.com/journal/11269

出版商: Springer

Description:

Water Resources Management is an international, multidisciplinary forum for the publication of original contributions and the exchange of knowledge and experience on the management of water resources. In particular, the journal publishes contributions on water resources assessment, development, conservation and control, emphasizing policies and strategies. Contributions examine planning and design of water resource systems, and operation, maintenance and administration of water resource systems. Coverage extends to these closely related topics: water demand and consumption; applied surface and groundwater hydrology; water management techniques; simulation and modelling of water resource systems; forecasting and control of quantity and quality of water; economic and social aspects of water use; legislation and water resources protection. Water Resources Management is supported scientifically by the European Water Resources Association, a scientific and technical nonprofit-making European association.

Title Scholar cited Year Review Cycle Accept Cycle
Fuzzy Logic for Rainfall-Runoff Modelling Considering Soil Moisture

Authors：Gokmen Tayfur,Luca Brocca

Keywords：Soil moisture,Rainfall,Discharge,Simulation,Fuzzy logic,Mamdani,Watershed

DOI：10.1007/s11269-015-1012-0

Received：2014-11-24 ; Accepted：2015-04-17 ; Online：2015-05-08

- 2015 4.1 4.8
Multi-Resolution Cointegration Prediction for Runoff and Sediment Load

Authors：Jinping Zhang,Yong Zhao,Weihua Xiao

Keywords：Runoff,Sediment load,Multi-resolution cointegration,Wavelet transform

DOI：10.1007/s11269-015-1018-7

Received：2014-08-22 ; Accepted：2015-04-21 ; Online：2015-05-03

- 2015 7.4 8.1
Spatial Distribution of Flood Incidents Along Urban Overland Flow-Paths

Authors：Santiago Gaitan,Marie-claire ten Veldhuis,Nick van de Giesen

Keywords：Urban flooding,Flood risks analysis,Overland flow-paths,Urban watersheds,Spatial patterns

DOI：10.1007/s11269-015-1006-y

Received：2014-11-19 ; Accepted：2015-04-07 ; Online：2015-05-02

- 2015 3.9 4.6
Urban Residential Water Demand Prediction Based on Artificial Neural Networks and Time Series Models

Authors：Muhammad A. Al-Zahrani,Amin Abo-Monasar

Keywords：Water demand,Artificial neural networks,Time series,Climatic variables,Saudi Arabia

DOI：10.1007/s11269-015-1021-z

Received：2015-01-13 ; Accepted：2015-04-21 ; Online：2015-05-01

- 2015 2.6 3.3
Effects of Spatial-Temporal Imperviousness on Hydrological Responses of Various Areas in an Urbanized Watershed

Authors：Yu-ming Wang,Yu-ji Li,Shin-jen Cheng,Fu-ti Yang,Yin-ta Chen

Keywords：Block Kriging,Watershed divisions,Semidistributed model,Reliable parameters,Urbanization behavior relationship,Hydrological response

DOI：10.1007/s11269-015-1014-y

Received：2014-08-22 ; Accepted：2015-04-17 ; Online：2015-04-30

- 2015 7.2 7.9
A More Efficient Rainfall Intensity-Duration-Frequency Relationship by Using an “at-site” Regional Frequency Analysis: Application at Mediterranean Climate Locations

Authors：J. L. Ayuso-Muñoz,A. P. García-Marín,P. Ayuso-Ruiz,J. Estévez,R. Pizarro-Tapia,E. V. Taguas

Keywords：IDF relationships,L-Moments,Regional frequency analysis,Precipitation,Mediterranean climate

DOI：10.1007/s11269-015-0993-z

Received：2014-11-21 ; Accepted：2015-03-27 ; Online：2015-04-30

- 2015 3.5 4.2
Non-Stationary Annual Maximum Flood Frequency Analysis Using the Norming Constants Method to Consider Non-Stationarity in the Annual Daily Flow Series

Authors：Lihua Xiong,Tao Du,Chong-Yu Xu,Shenglian Guo,Cong Jiang,Christopher J. Gippel

Keywords：Climate change,Non-stationarity,Flood frequency analysis (FFA),Norming constants method (NCM)

DOI：10.1007/s11269-015-1019-6

Received：2014-06-12 ; Accepted：2015-04-21 ; Online：2015-04-29

- 2015 9.7 10.4
Optimal Operation of Bidirectional Inter-Basin Water Transfer-Supply System

Authors：Qiang Wang,Huicheng Zhou,Guohua Liang,Haijun Xu

Keywords：Bidirectional inter-basin water transfer-supply system,Water transfer rule,Multiple hedging rules,Quantum-behaved particle swarm optimization

DOI：10.1007/s11269-014-0905-7

Received：2013-11-14 ; Accepted：2014-12-15 ; Online：2015-04-29

- 2015 12.5 13.2
On the Value of Hydrological Models Developed in the Context of Undergraduate Education for Discharge Prediction and Reservoir Management

Authors：Helge Bormann,Oliver Caspari

Keywords：Conceptual catchment model,Education,Water management,Climate impact,Reservoir management

DOI：10.1007/s11269-015-1015-x

Received：2014-12-05 ; Accepted：2015-04-17 ; Online：2015-04-28

- 2015 3.7 4.4
Appraisal of NLDAS-2 Multi-Model Simulated Soil Moistures for Hydrological Modelling

Authors：Lu Zhuo,Dawei Han,Qiang Dai,Tanvir Islam,Prashant K. Srivastava

Keywords：Hydrological modelling,Land surface modelling,Xinanjiang,Soil moisture deficit,NLDAS-2,Evaluation

DOI：10.1007/s11269-015-1011-1

Received：2014-06-22 ; Accepted：2015-04-06 ; Online：2015-04-26

- 2015 8.9 9.6