The research of environmental geochemistry entered the big data era. Environmental big
data is a kind of new method and thought, which brings both opportunities and challenges to …

Intensive human activities caused massive socio-economic and land-use changes that
directly or indirectly resulted in excessive accumulation of heavy metals in agricultural soils …

In recent years, the biogeochemical behavior and environmental impact of Selenium (Se) on
soil-plant systems have received widespread attention, and traditional statistical methods …

Geographically weighted regression (GWR) is a classical method of modeling spatially non-
stationary relationships. The geographically neural network weighted regression (GNNWR) …

Increased soil organic carbon (OC) in China has been reported in the past two decades,
suggesting the sequestration of atmospheric carbon dioxide into soil, mitigating climate …

Monitoring the temporal and spatial variation of soil properties is helpful to understand the
evolution of soil properties and adjust the management method in time. Soil fertility …

The spatial variation of correlation between Cd accumulation and its impact factors plays an
important role in precise management of Cd contaminated farmland. Samples of topsoils (n …

Soil physicochemical properties can not only reflect ecosystem integrity, land quality and
biogeochemical processes, but also are impacted by diverse land use types formed by …

The investigation of spatially varying relationships provides a novel and effective way to
identify the influencing factors and potential sources of potentially toxic elements (PTEs) …

Potentially toxic elements (PTEs) and polycyclic aromatic hydrocarbons (PAHs) harm the
ecosystem and human health, especially in urban areas. Identifying and understanding their …