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Shan X, Zhu Z, Ma J, Fu D, Song Y, Li Q, Huang Z, Pei L, Zhao H. Modeling nutrient flows from land to rivers and seas - A review and synthesis. MARINE ENVIRONMENTAL RESEARCH 2023; 186:105928. [PMID: 36889172 DOI: 10.1016/j.marenvres.2023.105928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 02/19/2023] [Accepted: 02/20/2023] [Indexed: 06/18/2023]
Abstract
Water quality modeling facilitates management of nutrient flows from land to rivers and seas, in addition to environmental pollution management in watersheds. In the present paper, we review advances made in the development of seven water quality models and highlight their respective strengths and weaknesses. Afterward, we propose their future development directions, with distinct characteristics for different scenarios. We also discuss the practical problems that such models address in the same region, China, and summarize their different characteristics based on their performance. We focus on the temporal and geographical scales of the models, sources of pollution considered, and the main problems that can be addressed. Summary of such characteristics could facilitate the selection of appropriate models for resolving practical challenges on nutrient pollution in the corresponding scenarios globally by stakeholders. We also make recommendations for model enhancement to expand their capabilities.
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Affiliation(s)
- Xiaoyang Shan
- State Key Laboratory of Marine Resources Utilization in South China Sea, Hainan University, Haikou, 570228, China; Center for Eco-Environment Restoration of Hainan Province & Key Laboratory of A&F Environmental Processes and Ecological Regulation of Hainan Province, College of Environment and Ecology, Hainan University, Haikou, 570228, China; College of Tropical Crops, Hainan University, Haikou, 570228, China.
| | - Zhiqiang Zhu
- College of Tropical Crops, Hainan University, Haikou, 570228, China.
| | - Jiyong Ma
- State Key Laboratory of Marine Resources Utilization in South China Sea, Hainan University, Haikou, 570228, China; Center for Eco-Environment Restoration of Hainan Province & Key Laboratory of A&F Environmental Processes and Ecological Regulation of Hainan Province, College of Environment and Ecology, Hainan University, Haikou, 570228, China.
| | - Dinghui Fu
- Haikou Research Center for Marine Geology, China Geological Survey, Haikou, 570312, China.
| | - Yanwei Song
- Haikou Research Center for Marine Geology, China Geological Survey, Haikou, 570312, China.
| | - Qipei Li
- Center for Eco-Environment Restoration of Hainan Province & Key Laboratory of A&F Environmental Processes and Ecological Regulation of Hainan Province, College of Environment and Ecology, Hainan University, Haikou, 570228, China.
| | - Zanhui Huang
- Haikou Research Center for Marine Geology, China Geological Survey, Haikou, 570312, China.
| | - Lixin Pei
- Haikou Research Center for Marine Geology, China Geological Survey, Haikou, 570312, China.
| | - Hongwei Zhao
- State Key Laboratory of Marine Resources Utilization in South China Sea, Hainan University, Haikou, 570228, China; Center for Eco-Environment Restoration of Hainan Province & Key Laboratory of A&F Environmental Processes and Ecological Regulation of Hainan Province, College of Environment and Ecology, Hainan University, Haikou, 570228, China.
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Estimation of Water Budget Components of the Sakarya River Basin by Using the WEAP-PGM Model. WATER 2019. [DOI: 10.3390/w11020271] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The use of water resources has increased with rapid population growth, industrial development, and agricultural activities. Besides, the problem might increase with the potential climate change impacts on water quantity. Thus, sustainable use of water resources becomes crucial. Modeling studies provide scientific support to the analysis of water resource problems and develop strategies for current and potential problems for the sustainable management of water resources. In this study, WEAP-PGM (Water Evaluation and Planning System—Plant Growth Model) was applied to the Sakarya River Basin in Turkey, where almost 50% of the area is agricultural land. The main goals in the study are compiling/integrating available data from different sources in a data-scarce region for hydrological models, and estimating the water budget components of Sakarya River Basin on an annual basis as well as investigating the applicability of WEAP-PGM. General model performance ratings indicated that model simulations represent streamflow variations at acceptable levels. Model results revealed that, runoff is 4747 million m3, flow to groundwater is 3065 million m3 and evapotranspiration is 23,011 million m3. This model setup can be used as a baseline for calculating the crop yields under climate change in the context of water-food-energy nexus in the further studies.
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Potential infection of grazing cattle via contaminated water: a theoretical modelling approach. Animal 2019; 13:2052-2059. [PMID: 30614435 DOI: 10.1017/s1751731118003415] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
Wastewater discharge and agricultural activities may pose microbial risks to natural water sources. The impact of different sources can be assessed by water quality modelling. The aim of this study was to use hydrological and hydrodynamic models to illustrate the risk of exposing grazing animals to faecal pollutants in natural water sources, using three zoonotic faecal pathogens as model microbes and fictitious pastures in Sweden as examples. Microbial contamination by manure from fertilisation and grazing was modelled by use of a hydrological model (HYPE) and a hydrodynamic model (MIKE 3 FM), and microbial contamination from human wastewater was modelled by application of both models in a backwards process. The faecal pathogens Salmonella spp., verotoxin-producing Escherichia coli O157:H7 (VTEC) and Cryptosporidium parvum were chosen as model organisms. The pathogen loads on arable land and pastures were estimated based on pathogen concentration in cattle faeces, herd prevalence and within-herd prevalence. Contamination from human wastewater discharge was simulated by estimating the number of pathogens required from a fictitious wastewater discharge to reach a concentration high enough to cause infection in cattle using the points on the fictitious pastures as their primary source of drinking water. In the scenarios for pathogens from animal sources, none of the simulated concentrations of salmonella exceeded the concentrations needed to infect adult cattle. For VTEC, most of the simulated concentrations exceeded the concentration needed to infect calves. For C. parvum, all the simulated concentrations exceeded the concentration needed to infect calves. The pathogen loads needed at the release points for human wastewater to achieve infectious doses for cattle were mostly above the potential loads of salmonella and VTEC estimated to be present in a 24-h overflow from a medium-size Swedish wastewater treatment plant, while the required pathogen loads of C. parvum at the release points were below the potential loads of C. parvum in a 24-h wastewater overflow. Most estimates in this study assume a worst-case scenario. Controlling zoonotic infections at herd level prevents environmental contamination and subsequent human exposure. The potential for infection of grazing animals with faecal pathogens has implications for keeping animals on pastures with access to natural water sources. As the infectious dose for most pathogens is more easily reached for calves than for adult animals, and young calves are also the main shedders of C. parvum, keeping young calves on pastures adjacent to natural water sources is best avoided.
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