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 |
|---|---|---|---|---|
|
Simulation of actual evapotranspiration from agricultural landscapes in the Canadian Prairies DOI：10.1016/j.ejrh.2017.11.010 Received：2017-06-09 ; Revised：2017-11-29 ; Accepted：2017-11-29 ; Online：2017-12-23 |
- | 2018 | 5.3 | 5.8 |
|
The cumulative effects of forest disturbance and climate variability on streamflow components in a large forest-dominated watershed DOI：10.1016/j.jhydrol.2017.12.056 Received：2017-02-08 ; Revised：2017-12-18 ; Accepted：2017-12-21 ; Online：2017-12-21 |
- | 2018 | 10 | 10.5 |
|
Non-monotonic permeability variation during colloidal transport: Governing equations and analytical model
DOI：10.1016/j.jhydrol.2017.12.049 Received：2017-08-18 ; Revised：2017-12-12 ; Accepted：2017-12-18 ; Online：2017-12-21 |
- | 2018 | 3.4 | 4.1 |
|
A GIS-based model of potential groundwater yield zonation for a sandstone aquifer in the Juye Coalfield, Shangdong, China
DOI：10.1016/j.jhydrol.2017.12.043 Received：2017-08-17 ; Revised：2017-12-14 ; Accepted：2017-12-15 ; Online：2017-12-20 |
- | 2018 | 3.5 | 4 |
|
Comparison of thermal, salt and dye tracing to estimate shallow flow velocities: Novel triple-tracer approach DOI：10.1016/j.jhydrol.2017.12.048 Received：2017-07-29 ; Revised：2017-11-06 ; Accepted：2017-12-18 ; Online：2017-12-20 |
- | 2018 | 2.9 | 4.7 |
|
A non-stationary cost-benefit based bivariate extreme flood estimation approach DOI：10.1016/j.jhydrol.2017.12.045 Received：2017-09-14 ; Revised：2017-11-21 ; Accepted：2017-12-15 ; Online：2017-12-19 |
- | 2018 | 1.8 | 3.1 |
|
DOI：10.1016/j.jhydrol.2017.12.034 Received：2017-04-28 ; Revised：2017-10-20 ; Accepted：2017-12-11 ; Online：2017-12-19 |
- | 2018 | 5.4 | 7.6 |
|
Managing the water-energy-food nexus: Opportunities in Central Asia DOI：10.1016/j.jhydrol.2017.12.040 Received：2017-02-14 ; Revised：2017-11-08 ; Accepted：2017-12-13 ; Online：2017-12-19 |
- | 2018 | 8.4 | 10.1 |
|
A comparison of large-scale climate signals and the North American Multi-Model Ensemble (NMME) for drought prediction in China
DOI：10.1016/j.jhydrol.2017.12.044 Received：2017-10-31 ; Revised：2017-12-10 ; Accepted：2017-12-15 ; Online：2017-12-19 |
- | 2018 | 0.9 | 1.5 |
|
Prediction of unsaturated flow and water backfill during infiltration in layered soils DOI：10.1016/j.jhydrol.2017.12.050 Received：2017-09-10 ; Revised：2017-12-15 ; Accepted：2017-12-18 ; Online：2017-12-19 |
- | 2018 | 2.7 | 3.3 |
pg2020365