Abstract. Evapotranspiration (ET) accompanied by water and heat transport in the hydrological cycle is a key component regulating surface aridity. Existing studies documenting changes aridity have typically estimated ET using semi-empirical equations or parameterizations of land processes, which are based on assumption that parameters equation stationary. However, plant physiological effects it...

Climate variation and human activities are commonly recognized as two major factors affecting basin hydrology. However, quantifying their individual effect on runoff is challenging. In this study, long-term (1960–2009) river discharge and weather data in the Songhua River Basin (SRB, 556,800 km2), Northeast China, were gathered to separate the impacts of climate variation and human activities o...

Continuous hydrologic models account for the soil moisture balance in the catchment over a long-term period. Different hydrologic physical processes such as: interception, surface depression storage, infiltration, soil storage, percolation, and groundwater storage should be considered in continuous hydrologic modeling. In this paper, the Hydrologic Modeling System (HMS) model was used for conti...

This study examined the long-term effectiveness of permeable pavement as an alternative to traditional impervious asphalt pavement in a parking area. Four commercially available permeable pavement systems were evaluated after 6 years of daily parking usage for structural durability, ability to infiltrate precipitation, and impacts on infiltrate water quality. All four permeable pavement systems...

The hydrological zoning of the Ural River basin has been clarified in terms synchronism and in-phase fluctuations annual runoff. 5 regions have identified. For 9 posts meteorological stations located different parts basin, a detailed statistical analysis long-term data was carried out. A single 1975 year beginning hydro-meteorological changes revealed. each region, statistically significant sea...

Hydrological series data are non-stationary and nonlinear. However, certain data-driven forecasting methods assume that streamflow stable, which contradicts reality causes the simulated value to deviate from observed one. Ensemble empirical mode decomposition (EEMD) was employed in this study decompose runoff into several stationary components a trend. The long short-term memory (LSTM) model us...