Fluctuation of the Water Environmental Carrying Capacity in a Huge River-Connected Lake

Wang, Hua; Zhou, Yiyi; Tang, Yang; Wu, Mengan; Deng, Yang

doi:10.3390/ijerph120403564

Cited by 15 publications

(7 citation statements)

References 22 publications

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“…While Kurata [8] argued that a low water level slightly affects the water quality of Lake Biwa. The water quality parameters in flood-plain lakes with great WLFs, such as Poyang Lake and Dongting Lake in China, may be greatly influenced by intra-and inter-annual WLFs, which reflect the uneven temporal-spatial distributions of hydrodynamic conditions and play important roles in pollutants transport and degradation [9]. Flow rate and residence time were also agreed to be important factors for pollutants mobility and degradation.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Variability in the Water Quality of Poyang Lake and Its Associated Responses to Hydrological Conditions

Gao

Zhang

et al. 2016

Water

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Abstract:Determining the spatiotemporal water quality patterns and their corresponding driving factors is crucial for lake water quality managements. This study analyzed hydrological data and concentrations of 11 water quality parameters, including total nitrogen, total phosphorus, ammonia nitrogen and chlorophyll-a (Chl-a), for water samples collected from 15 sampling sites between 2009 and 2014. The water quality of sites in the northern Poyang Lake-Yangtze River waterway was influenced by different environmental parameters compared to sites in central lake, especially for Chl-a concentration. All pollutant parameters were significantly higher in the river phase (water level <14 m) than in the lake phase (water level >14 m) (p < 0.05). These results were confirmed via principal component analysis, which identified three principal components that explained over 79% of the dataset variance. Among all the parameters related to climatic factors, eutrophication and organic pollution were the most important contributors in water quality. Dilution was the controlling factor that drove the seasonal variability in the water quality of the Poyang Lake, China. This work further indicated that regulating pollutant effluents in tributaries and water level within the lake could improve the water quality in Poyang Lake, which may give some impetus for water quality management.

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Section: Introductionmentioning

confidence: 99%

Spatiotemporal Variability in the Water Quality of Poyang Lake and Its Associated Responses to Hydrological Conditions

Gao

Zhang

et al. 2016

Water

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“…However, a total of 76 system elements had an appraisal rate of only one time. A total of six system elements were identified with a high appraisal rate: soil carrying capacity (31 times), water carrying capacity (27 times), mineral resource constraints (22 times), air quality (10 times), waste water disposal (12 times), and domestic garbage (8 times) [11,32,33].…”

Section: Methodsmentioning

confidence: 99%

An Evaluation Model for Urban Comprehensive Carrying Capacity: An Empirical Case from Harbin City

Xue

Liang

2019

IJERPH

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Urbanization has brought notable benefits for cities, but has also resulted in severe and diverse challenges in China. Previous studies have contributed to the definitions and evaluation of urbanization. However, there remain a great deal of ambiguities regarding urban comprehensive carrying capacity, and its measurable indicators still need further exploration given the urban development. This study aims to explore a model for evaluating urban comprehensive carrying capacity and thus to promote urban development. A total of 48 indicators which fell into 8 subsystems were identified to evaluate the urban comprehensive carrying capacity through literature reviews and interviews. The indicator set was developed for evaluation indicator selecting. Meanwhile, the dynamic system was explored, and an evaluation model based on the entire array polygon method was designed to evaluate urban comprehensive carrying capacity. Finally, a case study was conducted to provide suggestions for the decision-maker to implement the evaluation model. The results of this study show that the evaluation indicator system was dynamic due to urban development. Meanwhile, the model of the entire array polygon method was able to effectively evaluate urban comprehensive carrying capacity through the case study. Furthermore, this study found that there is an imbalance among subsystems in urban development according to the standard deviation. The findings are useful for setting up a benchmark framework for urban sustainability and providing an evaluation and monitoring model for decision maker to improve the urban carrying capacity.

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“…Millnigtno and Gifford [14] used the multi-objective decision analysis method to measure the capacity of land resources in Australia. Wang [15] and Zeng [16] focused on water environmental carrying capacity and aquatic ecological carrying capacity. Bishop [17] and Holling [18] conducted relevant researches on environmental carrying capacity and ecological carrying capacity respectively.…”

Section: Literature Reviewmentioning

confidence: 99%

A Quantitative Assessment of Sustainable Development Based on Relative Resource Carrying Capacity in Jiangsu Province of China

Yang

Huang

2018

IJERPH

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Unbalanced development is an urgent issue that needs to be resolved in the sustainable development strategy of Jiangsu Province, which inhibits Jiangsu’s industrial transformation and upgrading. A relative resource carrying capacity model is extended based on resource carrying capacity to analyze the resource carrying capacity of the different regions of Jiangsu Province. Three indicators of water resources, land resources, and energy resources are included in the natural resources. In social resources, factors of population quality are included in the analysis scope. Based on the improved model, this paper analyzes the relative resource carrying capacity of Jiangsu Province. The results show that: (1) under both traditional resource carrying capacity model and the improved model, Jiangsu Province has a surplus population; however, there is a certain difference between the result from two modules; (2) contributions of environmental resources, economic resources, and social resources to the comprehensive carrying capacity of resources is obviously higher than the contributions of natural resources; and (3) significant regional differences exist in relative resource carrying capacity within Jiangsu Province between the southern region and the middle region, in which the capacity is surplus to the population demand, and the northern region, in which the capacity is overloaded.

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Fluctuation of the Water Environmental Carrying Capacity in a Huge River-Connected Lake

Cited by 15 publications

References 22 publications

Spatiotemporal Variability in the Water Quality of Poyang Lake and Its Associated Responses to Hydrological Conditions

Spatiotemporal Variability in the Water Quality of Poyang Lake and Its Associated Responses to Hydrological Conditions

An Evaluation Model for Urban Comprehensive Carrying Capacity: An Empirical Case from Harbin City

A Quantitative Assessment of Sustainable Development Based on Relative Resource Carrying Capacity in Jiangsu Province of China

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