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Expanding the Sediment Transport Tracking Possibilities in a River Basin through the Development of a Digital Platform—DNS/SWAT. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12083848] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Simulation of stochastic and variable sediment transport processes within models still poses a big challenge, especially in mountainous areas. Since sediment transport, including erosion and deposition, remains an unceasing problem in many areas, sediment modeling is perceived as a possible solution. This article combines a review of the selected sediment models with a presentation of the effects of several years of research using the DNS digital platform in the Western Carpathians. The review focuses on the main advantages and gaps in selected modeling tools with particular emphasis on one of the most popular: SWAT. The description of the digital platform—DNS is an example of how to answer these gaps by combining subsequent models, methods, and databases using their best features. To accentuate the benefits of such an approach, the effects of combining subsequent models (AdH/PTM) and methods (fingerprinting) on a common digital DNS space are presented, on the example of the Raba River (basin). In this way, both unique possibilities of estimating the amount of contamination carried with sediment particles and their sources, as well as sequencing of sedimentation in the reservoir, taking into account its subsequent zones, were obtained.
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Luo M, Yu H, Liu Q, Lan W, Ye Q, Niu Y, Niu Y. Effect of river-lake connectivity on heavy metal diffusion and source identification of heavy metals in the middle and lower reaches of the Yangtze River. JOURNAL OF HAZARDOUS MATERIALS 2021; 416:125818. [PMID: 34492783 DOI: 10.1016/j.jhazmat.2021.125818] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 04/01/2021] [Accepted: 04/01/2021] [Indexed: 06/13/2023]
Abstract
Metal pollution poses a significant threat to ecological security and human health. Current research on the causes, sources and distribution of metal pollution in the Yangtze River plain is lacking. This study investigated the accumulation, risk, distribution, and sources of heavy metals in 62 lakes along the Yangtze River, and analyzed the relationship between river-lake connectivity, economic structure, population and metal diffusion. The mean concentrations of Cr, Cu, Hg, Zn, Cd, Pb and As in the surface sediments of these lakes were 90.8, 60.1, 0.06, 102, 0.89, 42.7, and 6.01 mg/kg, respectively. Most (99%) of the lake sediments were contaminated with Cd, and the lakes in the middle reach and southern bank of the Yangtze River had a higher ecological risk. Cr originated from the natural environment, whereas Zn, Cu, Pb, Cd and As were affected by human activities. The lakes disconnected from the Yangtze River had higher concentrations of Cu, Zn, Pb and As, while the lakes connected to the river had higher concentrations of Cd and Cr. This comprehensive analysis determined the pollution characteristics of heavy metals, illustrated the causes of non-point pollution in the Yangtze River plain, and showed that soil-water erosion is important in metal diffusion.
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Affiliation(s)
- Mingke Luo
- National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Institute of Lake Ecology and Environment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; State Environmental Protection Key Laboratory for Lake Pollution Control, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Hui Yu
- National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Institute of Lake Ecology and Environment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; State Environmental Protection Key Laboratory for Lake Pollution Control, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Qian Liu
- National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Institute of Lake Ecology and Environment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Wei Lan
- National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Institute of Lake Ecology and Environment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Qiaoru Ye
- National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Institute of Lake Ecology and Environment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Yuan Niu
- National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Institute of Lake Ecology and Environment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; State Environmental Protection Key Laboratory for Lake Pollution Control, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
| | - Yong Niu
- National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Institute of Lake Ecology and Environment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; State Environmental Protection Key Laboratory for Lake Pollution Control, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
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