As particulate organic carbon (POC) from lakes plays an important role in lake ecosystem sustainability and cycle, the estimation of its concentration using satellite remote sensing is great interest. However, high complexity variability water composition pose major challenges to algorithm POC Class II water. This study aimed formulate a machine-learning predict compare their modeling performan...

Algal blooms frequently occur in numerous lakes China, risking human health and the environment. In contrast, aquatic vegetation contributes to water purification. Due similar spectral characteristics shared by algal vegetation, both are hardly distinguishable remote sensing imaging, especially turbid bodies. To address this challenge, study constructed a method effectively extract from bodies ...

Fate and seasonal variations of α-hexachlorocyclohexane (α-HCH) were simulated using a dynamic fugacity model in Lake Chaohu, China. Sensitivity analyses were performed to identify influential parameters and Monte Carlo simulation was conducted to assess model uncertainty. The calculated and measured values of the model were in good agreement except for suspended solids, which might be due to d...

The land ecosystem provides essential natural resources for the survival and development of human beings. Therefore, ecological security (LES) acts as a vital part sustainable society economy. This study included dynamic analysis use change in Chaohu Lake Basin (CLB) China from 1998 to 2018, evaluating spatiotemporal patterns LES at both administrative district scale grid (200 m × 200 m). Then,...

Satellite-derived Chlorophyll-a (Chl-a) is an important environmental evaluation indicator for monitoring water environments. However, the available satellite images either have a coarse spatial or low spectral resolution, which restricts applicability of Chl-a retrieval in coastal (e.g., less than 1 km from shoreline) large- and medium-sized lakes/oceans. Considering Lake Chaohu as study area,...