Under the background of global climate change, hydrological responses to climate change were investigated in Northeastern China. This study analyses the trends of annual and seasonal temperature, precipitation and streamflow series in Nenjiang River Basin. Correlations between streamflow and meteorological variables were investigated, while parametric method and nonparametric tests were applied to determine the trends and correlations. Data collected from a series of monitoring stations showed significant increasing trends of annual and seasonal mean temperature versus time, whereas during the whole period the annual and seasonal precipitation in the basin did not exhibit similar trends although temporal and spatial variations were detected. Affected by the precipitation and temperature changes, significant trends of decreasing annual, spring and autumn streamflow were demonstrated; the decrease concentrating mainly on the mainstream and tributaries of the left bank. Correlation analyses revealed strong relationships between the streamflow and meteorological variables in Nenjiang River Basin, and the impacts of climate change on streamflow were complicated. Results from this study will help water resource managers for decision makings that address the consequences of climate change.

The objective of this study was to develop an empirical equation for estimating the capillary rise in the saline-sodic soil area of Songnen Plain in China based on the Averianov formula. The capillary rise was observed under five controlled groundwater levels by lysimeters. Field experiment results indicated that capillary rise had close relationship with the groundwater table depth, soil moisture of 10-40 cm soil layer and leaf area index. These factors have been taken into account to develop the empirical equation for capillary rise simulation. The model parameters for Songnen Plain were derived by LevenbergMarquardt and global optimization calculating method. The modeled capillary rise has a good agreement with the observed data (r 2 = 0.875). With the simulation model, the critical water table depth was identified as 2.5 m, indicating that soil secondary salinization will not occur when the water table depth is deeper than 2.5 m. Therefore, in the irrigation areas, groundwater table depth should be controlled to be higher than 2.5 m to prevent the occurrence of soil secondary salinization. The results from this research will provide useful information for the water sources management and soil secondary salinization control in Songnen Plain of China, one of the most serious salineaffected areas in the world.

The objectives of this study were to investigate the degree of spatial variability and variance structure of salinization parameters using classical and geostatistical method in Songnen Plain of China, which is one of largest saline-sodic areas in the World, and to analyze the relationship between salinization parameters, including soil salinity content (SC), electrical conductivity (EC), sodium adsorption ratio (SAR), and pH, and seven environmental factors by Pearson and stepwise regression analysis. The environmental factors were ground elevation, surface ponding time, surface ponding depth, and soil moistures at four layers (0–10 cm, 10–30 cm, 30–60 cm, and 60–100 cm). The results indicated that SC, EC, and SAR showed great variations, whereas pH exhibited low variations. Four salinization parameters showed strongly spatial autocorrelation resulting from the compound impact of structural factors. The empirical semivariograms in the four parameters could be simulated by spherical and exponential models. The spatial distributions of SC, EC, SAR and pH showed similar patterns, with the coexistence of high salinity and sodicity in the areas with high ground elevation. By Pearson analysis, the soil salinization parameters showed a significant positive relationship with ground elevation, but a negative correlation with surface ponding time, surface ponding depth, and soil moistures. Both correlation and stepwise regression analysis showed that ground elevation is the most important environmental factor for spatial variation of soil sanilization. The results from this research can provide some useful information for explaining mechanism of salinization process and utilization of saline-sodic soils in the Western Songnen Plain.