نتایج جستجو برای: lake chaohu
تعداد نتایج: 42315 فیلتر نتایج به سال:
The levels of 18 organochlorine pesticides (OCPs) in the water from Lake Chaohu were measured by a solid phase extraction-gas chromatography-mass spectrometer detector. The spatial and temporal distribution, possible sources, and potential ecological risks of the OCPs were analyzed. The annual mean concentration for the OCPs in Lake Chaohu was 6.99 ng/L. Aldrin, HCHs, and DDTs accounted for lar...
Abstract Monitoring lake water levels is important to fully understand the characteristics and mechanism of dynamic change, impact climate change human activities on lakes, etc. This paper first individually evaluated performance newly released Global Ecosystem Dynamics Investigation (GEDI) successor Ice, Cloud, Land Elevation Satellite mission (ICESat-2) for inland level retrieval over four ty...
Microcystis aeruginosa is a major primary producer and a common toxic cyanobacterium, playing an important role in the aquatic environment (Chen et al., 2016). Microcystis aeruginosa is commonly observed in highly eutrophic lakes (Watanabe and Oishi, 1985). In recent years, surface cyanobacterial bloom occurred frequently in most large shallow lakes in China, such as Lake Taihu (Zhang et al., 2...
The residual levels of OCPs in the gas phase and particle phase in Lake Chaohu, China, were measured using GC-MS from March 2010 to February 2011. The temporal-spatial variations and sources of OCPs were also analyzed. Twenty types of OCPs were detected in the gas phase with a total concentration of 484.8 ± 550.4 pg/m³. Endosulfan, DDTs and chlordane were the primary OCPs in the gas phase. The ...
Harmful cyanobacterial blooms in eutrophic water bodies pose a major threat to the environment and human health. The morphological functional traits of cyanobacteria play important roles maintaining their competitive advantages. To explore regulatory mechanisms different bloom-forming cyanobacteria, we performed one-year-long phytoplankton survey from November 2016 October 2017 Lake Chaohu, Chi...
Aiming at the problems existing in process of river water quality detection, this paper proposes a BOD prediction model based on GA-RandomForest optimization, and evaluates through MAE MAPE, achieves good results. And forecast experiment is carried out data Chaohu Lake for 3 months. The experimental results show that effective, higher accuracy.
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