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杭州市高层次人才项目

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Journal of Hydrology

ISSN: 0022-1694

官网: https://www.sciencedirect.com/journal/journal-of-hydrology

出版商: Elsevier

Title Scholar cited Year Review Cycle Accept Cycle

Relevance of hydrological variables in water-saving efficiency of domestic rainwater tanks: Multivariate statistical analysis

DOI:10.1016/j.jhydrol.2016.12.027

Received:2016-08-12 ; Revised:2016-11-29 ; Accepted:2016-12-15 ; Online:2016-12-21

- 2017 3.2 4.2

A current precipitation index-based model for continuous daily runoff simulation in seasonally snow covered sub-arctic catchments

DOI:10.1016/j.jhydrol.2016.12.020

Received:2016-06-07 ; Revised:2016-10-06 ; Accepted:2016-12-12 ; Online:2016-12-21

- 2017 3.6 6.3

Comparing potential recharge estimates from three Land Surface Models across the western US

DOI:10.1016/j.jhydrol.2016.12.028

Received:2016-07-08 ; Revised:2016-12-12 ; Accepted:2016-12-15 ; Online:2016-12-21

- 2017 4.8 5.3

A multi-model approach for analyzing water balance dynamics in Kathmandu Valley, Nepal

DOI:10.1016/j.ejrh.2016.12.080

Received:2016-06-10 ; Revised:2016-11-24 ; Accepted:2016-12-10 ; Online:2016-12-21

- 2017 5.1 6.1

Resolving hydrologic water balances through a novel error analysis approach, with application to the Tahoe basin

DOI:10.1016/j.jhydrol.2016.12.029

Received:2016-08-01 ; Revised:2016-12-14 ; Accepted:2016-12-16 ; Online:2016-12-21

- 2017 4 4.6

Spatiotemporal variation of the surface water effect on the groundwater recharge in a low-precipitation region: Application of the multi-tracer approach to the Taihang Mountains, North China

DOI:10.1016/j.jhydrol.2016.12.030

Received:2016-06-17 ; Revised:2016-12-16 ; Accepted:2016-12-19 ; Online:2016-12-21

- 2017 5.6 6.2

Choice of rainfall inputs for event-based rainfall-runoff modeling in a catchment with multiple rainfall stations using data-driven techniques

DOI:10.1016/j.jhydrol.2016.12.024

Received:2016-06-22 ; Revised:2016-11-01 ; Accepted:2016-12-12 ; Online:2016-12-20

- 2017 3.9 5.8

Comparison of methods for non-stationary hydrologic frequency analysis: Case study using annual maximum daily precipitation in Taiwan

DOI:10.1016/j.jhydrol.2016.12.001

Received:2016-04-07 ; Revised:2016-11-12 ; Accepted:2016-12-02 ; Online:2016-12-19

- 2017 6.8 8

Application of time-lagged ensemble approach with auto-regressive processors to reduce uncertainties in peak discharge and timing

DOI:10.1016/j.ejrh.2016.12.081

Received:2015-10-07 ; Revised:2016-11-06 ; Accepted:2016-12-10 ; Online:2016-12-19

- 2017 12.7 14.3

Stage-discharge prediction in natural rivers using an innovative approach

DOI:10.1016/j.jhydrol.2016.12.026

Received:2016-09-09 ; Revised:2016-12-11 ; Accepted:2016-12-13 ; Online:2016-12-18

- 2017 2.6 3.2