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Environmental capacity change and loss assessment of Qinzhou Bay in Guangxi induced by large-scale reclamation and land-based sewage discharge
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He Lyu1, 2, Shaofeng Zhang4, Dehai Song1, 3, *, Xianwen Bao1, 2, 3
Haiyang Xuebao | 2023, 45(2) : 139 - 150
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Haiyang Xuebao | 2023, 45(2): 139-150
Research Note
Environmental capacity change and loss assessment of Qinzhou Bay in Guangxi induced by large-scale reclamation and land-based sewage discharge
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He Lyu1, 2, Shaofeng Zhang4, Dehai Song1, 3, *, Xianwen Bao1, 2, 3
Affiliations
  • 1Key Laboratory of Physical Oceanography, Ministry of Education, Ocean University of China, Qingdao 266100, China
  • 2College of Oceanic and Atmosphere Sciences, Ocean University of China, Qingdao 266100, China
  • 3Laboratory for Ocean Dynamics and Climate, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China
  • 4Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai 536015, China
Published: 2023-02-01 doi: 10.12284/hyxb2023003
Outline
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From 2004 to 2019, human activities have caused a profound and irreversible impact on Qinzhou Bay (QZB) through large-scale land reclamation and land-based sewage discharge. In this study, based on the satellite images and marine charts, a hydro-biogeochemical model was established to analyze the cumulative effect of human activities on water quality in Qinzhou Bay during the past decades. Under the double anthropogenic pressures, the concentration of chemical oxygen demand (COD) in QZB has slightly decreased from 0.976 mg/L to 0.909 mg/L. But the concentration of inorganic nitrogen (DIN) and inorganic phosphorus (DIP) increased obviously from 0.146 mg/L and 0.023 mg/L to 0.230 mg/L and 0.027 mg/L, respectively. The statistical results show that the area of heavily polluted and severe eutrophication water has increased dramatically, indicating the water quality in QZB being degenerated. According to the characteristics of pollution discharge in the bay, the share rate method was used to calculate the environment capacity in different scenarios. The results show that the actual emissions far exceed the maximum allowed amount in the bay, particularly in Maoling River and Qinjiang River, where the emissions of pollutants need to be reduced urgently. Because of the decrease of the water area and water exchange capacity caused by land reclamation, the environment capacity has reduced compare to the historical situation. The calculation of sewage discharge optimization method for Maowei Sea indicates that Maoling River should share more sewage discharge than Qinjiang River, which is conducive to the improvement of water quality in Maowei Sea. It is estimated that the environmental capacity value loss of Qinzhou Bay caused by two anthropogenic pressures is approximate 2.695 billion per year, so compensation should be considered before exploitation and utilization of the coastal ocean.

human activities  /  water quality  /  pollutant transport  /  environment capacity  /  ocean model
He Lyu, Shaofeng Zhang, Dehai Song, Xianwen Bao. Environmental capacity change and loss assessment of Qinzhou Bay in Guangxi induced by large-scale reclamation and land-based sewage discharge[J]. Haiyang Xuebao, 2023 , 45 (2) : 139 -150 . DOI: 10.12284/hyxb2023003
Year 2023 volume 45 Issue 2
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Article Info
doi: 10.12284/hyxb2023003
  • Receive Date:2022-05-06
  • Online Date:2025-12-26
  • Published:2023-02-01
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  • Received:2022-05-06
  • Revised:2022-08-01
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Affiliations
    1Key Laboratory of Physical Oceanography, Ministry of Education, Ocean University of China, Qingdao 266100, China
    2College of Oceanic and Atmosphere Sciences, Ocean University of China, Qingdao 266100, China
    3Laboratory for Ocean Dynamics and Climate, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China
    4Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai 536015, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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