Drilldown: BibEntryCargo

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BibEntryCargo > Journal : Atmospheric Chemistry and Physics or Coastal Engineering Proceedings or Hydrological Processes & Booktitle : Computer and Computing Technologies in Agriculture IV or None & Volume : 11 or 13 or 14 or 19 & ISBN: None & Note : Auto downloaded ref at: 2020-06-02 or Auto downloaded ref at: 2020-06-05 or Auto downloaded ref at: 2020-06-24 or Auto downloaded ref at: 2021-01-11 or Auto downloaded ref at: 2021-01-12

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Advances in the application of the SWAT model for water resources management (1) · Aerosol effects on deep convection: the propagation of aerosol perturbations through convective cloud microphysics (1) · An analysis of high-flow sediment event data for evaluating model performance (1) · Assessing the formation and evolution mechanisms of severe haze pollution in the Beijing–Tianjin–Hebei region using process analysis (1) · Automatic model calibration (1) · Considering spatial distribution and deposition of sediment in lumped and semi-distributed models (1) · Development of a source oriented version of the WRF/Chem model and its application to the California regional PM<sub>10</sub> / PM<sub>2.5</sub> air quality study (1) · Development of effective management plan for critical subwatersheds using SWAT model (1) · Diurnal tracking of anthropogenic CO 2 emissions in the Los Angeles basin megacity during spring 2010 (1) · Effect of GIS data quality on small watershed stream flow and sediment simulations (1) · Effectiveness of short-term air quality emission controls: a high-resolution model study of Beijing during the Asia-Pacific Economic Cooperation (APEC) summit period (1) · Estimation of soil cracking and the effect on surface runoff in a Texas Blackland Prairie watershed (1) · Forest ecosystem processes at the watershed scale: dynamic coupling of distributed hydrology and canopy growth (1) · Modelling streamflow from two small South African experimental catchments using the SWAT model (1) · Return-flow assessment for irrigation command in the Palleru river basin using SWAT model (1) · The control of anthropogenic emissions contributed to 80 % of the decrease in PM<sub>2.5</sub> concentrations in Beijing from 2013 to 2017 (1)
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