The Characteristics and Mechanism of Changes in the Marine Environmental Capacity of the Estuaries of Haizhou Bay in Northern Jiangsu from 2006 to 2016

Sun, Lei; Wang, Jing; Zhang, Haifeng; Xu, Min

doi:10.3390/jmse8100787

Cited by 3 publications

(3 citation statements)

References 28 publications

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“…The annual average wind speed is 5.5 m/s, and the normal wind direction is east (Figure 3). For more details, please refer to [40]. The calculated results of the model coincide well with the measured values of tidal current in 2006 and 2016.…”

Section: Model Grid and Parameter Settingsupporting

confidence: 76%

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Characteristics and Mechanism of the Environmental Capacity Changes in Haizhou Bay, Northern Jiangsu, China from 2006 to 2016

Sun

Wang

Zhang

et al. 2020

Water

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Haizhou Bay is an open bay located in northern Jiangsu Province, China. This study analyzes the changes in the coastline, coastal development, and water quality of Haizhou Bay between 2006 and 2016. The box model method and numerical simulation are adopted to calculate the environmental capacities of Haizhou Bay in 2006 and 2016, analyze changes to environmental capacity features, and assess the influencing factors over this period. The scenario analysis method is used to discuss the influencing mechanism and degree of influence of factors (e.g., the water quality difference inside and outside the bay, and sea reclamation) on the environmental capacity and calculate the contribution of each influencing factor. The changes in terrain triggered by sea reclamation and water quality from 2006 to 2016 reduced the total environmental capacity of Haizhou Bay, with an influencing ratio of 0.198:0.802. In other words, poorer water quality inside the bay reduces the environmental capacity by a degree of 4.05 times that of sea reclamation. This study can offer guidance on related future research aiming to protect the marine environment of Haizhou Bay and control the total amount of pollutants discharged into the sea.

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Section: Model Grid and Parameter Settingsupporting

confidence: 76%

“…The water temperature is 5 • C. The annual average wind speed is 5.5 m/s, and the normal wind direction is east (Figure 3). For more details, please refer to [40].…”

Section: Model Grid and Parameter Settingmentioning

confidence: 99%

Characteristics and Mechanism of the Environmental Capacity Changes in Haizhou Bay, Northern Jiangsu, China from 2006 to 2016

Sun

Wang

Zhang

et al. 2020

Water

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“…EDI is an important part of the monitoring and early warning system of China's resource and environmental carrying capacity. In-depth discussion and research on its methods is of great significance for curbing environmental deterioration, stabilizing environmental carrying capacity, solving air and water pollution problems and promoting sustainable development [23,25,32].…”

Section: Introductionmentioning

confidence: 99%

Discussion of an environmental depletion assessment method–A case study in Xinjiang, China

et al. 2022

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Environmental process assessment based on the environmental depletion index (EDI) is an important part of the long-term monitoring and early warning mechanism of China’s resources and environmental carrying capacity. The EDI aims to realize the unified environmental impact assessment of economic and environmental systems through the ratio relationship between economic growth and pollutant emission growth. However, in terms of pollutant emissions, the EDI ignores the environmental capacity (EC), which means that the effectiveness and objectivity of environmental impact assessment must be verified. In this study, with Xinjiang as an example and based on the EDI, Sulfur dioxide (SO2), Nitrogen oxide (NOx), Chemical oxygen demand (COD) and Ammonia nitrogen (NH3-N) were selected for calculation and assessment both without and with consideration of EC and for discussion of the suitability of the environmental depletion method for resources and environmental carrying capacity. The results indicated that ① the percentages of SO2, NOx, COD, NH3-N and CEDI in counties and cities that tend to be poor and lack EC were 32.98%, 29.79%, 30.85%, 28.72% and 38.30%, respectively, while the percentages in counties and cities with EC were 10.64%, 3.19%, 13.83%, 8.51% and 10.64%, respectively. ② When EC was included, the number of counties and cities where changes in SO2, NOx, COD, NH3-N and CEDI tended to be “poor → good” were 23, 26, 17, 21 and 28, respectively, and the number of counties and cities where such changes tended to be “good → poor” were 2, 1, 1, 2 and 2, respectively. ③ EC inclusion corrected overestimated or underestimated EDI results, making the evaluation results more objective and reasonable. This understanding provides a scientific reference for the coordinated development of the regional economy and environment in Xinjiang and worldwide.

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Pollution, risks, and sources of heavy metals in sediments from the urban rivers flowing into Haizhou Bay, China

Deng

Mao

et al. 2022

Environ Sci Pollut Res

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The Characteristics and Mechanism of Changes in the Marine Environmental Capacity of the Estuaries of Haizhou Bay in Northern Jiangsu from 2006 to 2016

Cited by 3 publications

References 28 publications

Characteristics and Mechanism of the Environmental Capacity Changes in Haizhou Bay, Northern Jiangsu, China from 2006 to 2016

Characteristics and Mechanism of the Environmental Capacity Changes in Haizhou Bay, Northern Jiangsu, China from 2006 to 2016

Discussion of an environmental depletion assessment method–A case study in Xinjiang, China

Pollution, risks, and sources of heavy metals in sediments from the urban rivers flowing into Haizhou Bay, China

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