[Meta-analysis of the Effects of Metal Mining on Soil Heavy Metal Concentrations in Southwest China].

Metal mining is one of the main contributors of soil heavy metals. Previous studies examining the impact of metal mining on surrounding soil have mainly focused on one or a few metal mining areas. However, such studies cannot effectively inform the management of heavy metal pollution in soil at an inter-provincial scale.

[Assessment of the Availability of Soil Copper and Related Influencing Factors at a County Scale].

Understanding the spatial distribution of total copper, available copper, and the spatial non-stationary relationships between available copper and relevant environmental factors is important for the delineation of soil risk areas and the development of related control measures. This study was conducted in Zhangjiagang County of Jiangsu Province, China. The risk status for soil copper was assessed based on 357 soil samples in the study area.

[Interpolation of daily mean temperature by using geographically weighted regression-Kriging].

Air temperature is the input variable of numerous models in agriculture, hydrology, climate, and ecology. Currently, in study areas where the terrain is complex, methods taking into account correlation between temperature and environment variables and autocorrelation of regression residual (e.g.

[Assessment for spatial uncertainty of daily minimum temperature by using sequential Gaussian simulation].

Understanding daily minimum temperature is of great importance for assessing low temperature damages to crops and guiding people to take timely remedial measures to ensure food security. Kriging is a widely used technology for mapping the spatial distribution of the near-surface temperature. However, the smoothing effect, commonly found in the Kriging maps, leads to low values to be overestimated and high values to he underestimated.