To study the distribution characteristics and influencing factors of phosphorus in the Dongting Lake at different water periods, water samples were collected from 18 representative monitoring sections located in the Dongting Lake and its upper rivers from January to December 2016. Various forms of phosphorus concentration in the samples were analyzed. The results showed that, overall, the average concentrations (range) of total phosphorus (TP), total dissolved phosphorus (DTP), and phosphate (DPO) in the Dongting Lake were 0.085 mg·L(0.030-0.176 mg·L), 0.062 mg·L(0.017-0.151 mg·L), and 0.053 mg·L(0.007-0.144 mg·L), respectively. These forms of phosphorus concentrations were all characterized by the intermediate season (IS) > the dry season (DS) > the wet season (WS), with obvious seasonal variation characteristics. In the spatial distribution, the phosphorus concentration increased from west to east in DS and IS and decreased from the west to east in WS. In terms of time distribution, various forms of phosphorus were characterized by obvious seasonal distribution in the east, west, and outlet of the Dongting Lake. The phosphorus concentration in WS was higher than that in DS and IS in the West Dongting Lake. However, the concentration was higher during DS and IS than that in WS for the east and outlet of lake. Various forms of phosphorus concentrations in the west were highest in the Dongting Lake during WS, while those in the outlet and east were relatively highest in DS and IS. Therefore, the phosphorus pollution in the West Dongting Lake should receive more attention during WS, and the pollution in the east and outlet requires higher attention during DS and IS. In terms of form composition, according to the monthly data of the sections, the values of (TPO)/(TP) and (DPO)/(TPO) were mainly above 60% in the water body of the Dongting Lake and its upper rivers. DTP was the main form of TP, and DPO was the main form of DTP. It indicated that the phosphorus in the Dongting Lake and its upper rivers was mainly soluble, which is different from that before the impoundment of the Three Gorges Reservoir. The spatio-temporal distribution of suspended particles (SS) and phosphorus in the Dongting Lake had a certain synergistic effect. The concentration of SS and phosphorus in each water period showed a significant or extremely significant correlation. Therefore, SS was considered as an important factor affecting the seasonal variation of phosphorus in the Dongting Lake. In this study, it was concluded that the Nanzui section, the Daxiaoxihu section, and the East Dongting Lake area were clearly affected by surrounding human activities, respectively including domestic, agricultural, and sand mining sources of phosphorus pollution. The water in the West Dongting Lake has even been affected by mild and moderate eutrophication in 2016. These phenomena should be paid more attention.
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http://dx.doi.org/10.13227/j.hjkx.201809137 | DOI Listing |
Huan Jing Ke Xue
January 2025
State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
The study of terrestrial phosphorus inflow (hereafter referred to as phosphorus inflow) fluxes is essential for controlling non-point source (NPS) pollution. The SWAT model was successfully used to simulate phosphorus inflow fluxes in the Dongting Lake area, while a hybrid model (LSTM and SWAT) was developed and validated for predicting the reduction in phosphorus inflow fluxes among rivers based on three typical reduction scenarios: agricultural control, livestock and poultry reduction, and soil and water conservation measures. The results showed that the inflow flux of TP was 3.
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December 2024
Technology Innovation Center for Integrated Ecosystem Restoration and Sustainable Utilization, Ministry of Natural Resources, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.
Excessive nitrogen exported to water bodies affects the balance of ecosystem and poses a threat to human health. Although the concept of water purification service helps quantify nitrogen export, the impact of river transport remains unclear. This study focused on nitrogen as a pollutant by utilizing the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model to assess nitrogen export in the Dongting Lake Basin, taking into account both the processes of sub-basin nitrogen export and river transport.
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December 2024
Department of Civil, Construction and Environmental Engineering, North Dakota State University, ND, United States.
The negative impacts of large hydroelectric reservoirs on downstream ecosystems have attracted worldwide attention. Few attempts have been made to dynamically predict ecological benefits and rationally negotiation in the reservoir-river-lake (RRL) system. This study addresses these gaps by developing an integrated framework with machine learning and game theory to balanced hydropower and ecological benefits.
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Hunan Engineering Research Center of Water Security Technology and Application, Key Laboratory of Building Safety and Energy Efficiency, Ministry of Education, College of Civil Engineering, Hunan University, Changsha 410082, China.
Harmful algal blooms (HABs) pose a significant threat to aquatic ecosystems, prompting efforts to predict their occurrence for swift action by water management agencies. Despite the potential for high-precision forecasting through machine learning, the effectiveness of these models is often compromised by data quality issues, such as incomplete data sets, inaccuracies in historical records, inconsistencies in sampling methods, and the dynamic nature of environmental factors, leading to temporal and spatial variability. This study develops an early warning system for HABs using water quality data from a freshwater lake prone to such blooms.
View Article and Find Full Text PDFJ Hazard Mater
December 2024
Department of Physical Geography and Ecosystem Science, Lund University, 22228 Lund, Sweden. Electronic address:
Soil cadmium (Cd) contamination significantly threatens ecosystems and human health. Traditional geochemical investigation, although accurate, is impractical for wide-area and frequent monitoring applications. Multi-spectral satellite images combined with the homologous pollution information (HPI) and the spectral and content information of soil organic matter (SOMSCI) is an unconventional and promising approach for large-scale, dynamic soil heavy metal (SHM) monitoring.
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