Research on grading of bathing beaches in Shenzhen

CUI Dong-yang; CHEN Ping; WU Gui-min; TANG Lin

doi:10.3969/j.issn.1001-909X.2019.04.008

PDF(1360 KB)

Journal of Marine Sciences ›› 2019, Vol. 37 ›› Issue (4) : 79-84. DOI: 10.3969/j.issn.1001-909X.2019.04.008

Research on grading of bathing beaches in Shenzhen

CUI Dong-yang^1,2, CHEN Ping³, WU Gui-min², TANG Lin²

Author information +

History +

Abstract

The classification and grading of sea area is the making collecting standard for the sea area using charge, and it is also the premise and basis for carrying out the appraisal of sea area asset price. Based on the technical guidelines for sea area grading (Trial implementation) and following the principles of resource endowment difference, income difference, economical utilization and ecological sea use, we selected two grading factors of sea natural conditions and sea area location conditions, and 10 assessment factors, such as seawater quality, marine natural disasters, et al., and then established the index quality assessment system of Shenzhen bathing beaches grading. Using the comprehensive index assessment method, we could get the scores of 207 assessment units, and use cluster analysis method and coefficient of variation (CV) to check the level. Finally, the bathing beaches are divided into three levels: level-Ⅰ(22.22%), level-Ⅱ(33.82%) and level-Ⅲ(43.96%). The research results provide a basis to evaluate the reference price of different levels bathing beaches for the marine management department in Shenzhen.

Key words

bathing beaches / grading / index system / Shenzhen

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

CUI Dong-yang, CHEN Ping, WU Gui-min, TANG Lin. Research on grading of bathing beaches in Shenzhen[J]. Journal of Marine Sciences. 2019, 37(4): 79-84 https://doi.org/10.3969/j.issn.1001-909X.2019.04.008

References

[1] ZHANG Si, WANG Miao. The effectiveness of criteria price valuation management in China's sea area[J]. Price: Theory & Practice, 2015, 368(2): 62-64.
张偲, 王淼. 我国海域使用金管理的实效与思考[J]. 价格理论与实践, 2015, 368(2):62-64.
[2] LI Wen-jun, QI Lian-ming, XU Wei, et al. Rating factors determination and quantification of sea area used for tourism[J]. Ocean Development and Management, 2005, 22(1): 22-26.
李文君, 齐连明, 徐伟, 等. 旅游用海定级因素确定及量化研究[J]. 海洋开发与管理, 2005, 22(1):22-26.
[3] ZHANG Ming-hu. Tourism environmental suitability analysis of coastal tourism zone in northern Hainan[D]. Haikou: Hainan Normal University, 2011.
张明湖. 琼北滨海旅游带旅游生态适宜性评价[D]. 海口:海南师范大学, 2011.
[4] SUN Jing, YANG Jun, XI Jian-chao. The comprehensive evaluation of suitability of marine tourism base in China[J]. Resources Science, 2016, 38(12):2 244-2 255.
孙静, 杨俊, 席建超. 中国海洋旅游基地适宜性综合评价研究[J]. 资源科学, 2016, 38(12):2 244-2 255.
[5] CHEN Chun-hua, CHEN Dan-dan, LIU Jian-bo. Quality classification of sea area used for tourism in Hainan Province[J].Transactions of Oceanology and Limnology, 2016, 6: 135-143.
陈春华, 陈丹丹, 刘建波. 海南省旅游娱乐用海的海域级别划分[J]. 海洋湖沼通报, 2016, 6: 135-143.
[6] WANG Jin-sheng, SUN Li-e, WANG Yong. Analysis and evaluation on water quality of Qingdao first bathing beach in summer[J].Environmental Science and Management, 2017, 42(2):145-147.
汪进生, 孙立娥, 王勇. 青岛第一海水浴场水质状况分析与评价研究[J]. 环境科学与管理, 2017, 42(2):145-147.
[7] Ministry of Natural Resources. Technical guidelines for sea area grading (Trial implementation)[Z]. Beijing: Ministry of Natural Resources,2018.
自然资源部. 海域定级技术指引(试行)[Z]. 北京: 自然资源部, 2018.
[8] BI Bao-de, CHAI Qiang, LI Ling. Land economics [M]. 6th ed. Beijing: China Renmin University Press, 2011: 60-92.
毕宝德, 柴强, 李铃. 土地经济学[M].第6版.北京: 中国人民大学出版社, 2011: 60-92.
[9] DAI Ya-nan, PENG Jian-gui. Fragility assessment for the eco-environment of the coastal zone in Jiangsu[J]. Journal of Marine Sciences, 2009, 27(1): 78-82.
戴亚南, 彭检贵. 江苏海岸带生态环境脆弱性及其评价体系构建[J].海洋学研究, 2009, 27(1): 78-82.
[10] LIU Bai-jing, WU Xiao-qing, DU Pei-pei, et al. Assessment of potential pressure caused by sea use activities on the eco-environment of bays: a case study in Laizhou Bay, China[J]. Journal of Marine Sciences, 2018, 36(3): 76-83.
刘柏静, 吴晓青, 杜培培, 等. 海域使用活动对海湾生态环境的压力评估——以莱州湾为例[J]. 海洋学研究, 2018, 36(3): 76-83.
[11] ZHAO Meng, YUE Qi, LIANG Xiang-bo. Application of resource quality assessment comparison method in tourism and entertainment sea assessment[J]. Ocean Development and Management, 2015, 32(5): 54-58.
赵梦, 岳奇, 梁湘波. 资源质量评价比较法在旅游娱乐用海评估中的应用[J]. 海洋开发与管理, 2015, 32(5): 54-58.
[12] ZHENG Li-yuan, CAO Jin-liang, ZHANG Jian-ping, et al. Assessment of resources status in Shanxi Province based on K-Means cluster analysis method[J]. West-China Exploration Engineering, 2018, 30(11): 122-125, 130.
郑丽媛, 曹金亮, 张建萍, 等. 基于K-Means聚类分析法的山西省资源现状评价[J]. 西部探矿工程, 2018, 30(11): 122-125, 130.
[13] TIAN Chi-ying, ZHANG Xu-nan, SONG Shi-ji, et al. Algorithm of improved FCM clustering and its application to seafloor hydrothermal sulfide composition analysis[J]. Journal of Marine Sciences, 2010, 28(4): 22-28.
田赤英, 张旭男, 宋士吉, 等. 改进的模糊C均值聚类算法及其在海底热液硫化物组分分析中的应用[J]. 海洋学研究, 2010, 28(4): 22-28.
[14] SUN Qin-bang, GAO Fan, WANG Yang, et al. The content and pollution assessment of heavy metals in the surface seawater in Honghai Bay[J]. Marine Environmental Science, 2018, 37(5): 64-69.
孙钦帮, 高范, 王阳, 等. 广东红海湾海域表层水环境中重金属含量特征及污染评价[J]. 海洋环境科学, 2018, 37(5): 64-69.
[15] LÜ Xiao-fei, YE Yin-can, PAN Guo-fu. Statistical analysis of clay property in the Hangzhou Bay[J]. Journal of Marine Sciences, 2005, 23(4): 8-14.
吕小飞, 叶银灿, 潘国富. 杭州湾浅层粘性土物理力学指标的统计分析[J]. 海洋学研究, 2005, 23(4): 8-14.
[16] SUN Chi-tao, ZHANG Jun-peng, FENG Di, et al. Research on the characteristics of water and salt distribution in a coastal saline field drainage ditch[J]. China Rural Water and Hydropower, 2018 (8): 24-26.
孙池涛, 张俊鹏, 冯棣, 等. 滨海盐碱农田排水沟土壤水盐分布特征研究[J]. 中国农村水利水电, 2018 (8): 24-26.
[17] YAN Heng-qian, WANG Hui-zan, ZHOU Shu-dao, et al. Analysis on the temporal and spatial characteristics of the thermal energy in the Pacific Ocean and the sea area surrounding China based on SODA data[J]. Acta Oceanologica Sinica, 2017, 39(11): 128-140.
闫恒乾, 王辉赞, 周树道, 等. 基于SODA资料的太平洋及我国周边海域温差能资源时空特征分析[J]. 海洋学报, 2017, 39(11): 128-140.
[18] LI Ze-wen, ZHOU Qiang, YANG Yong-zeng. Assessment of nearshore wave energy resource of Wanning, Hainan Province by using LAGFD-WAM wave model[J]. Marine Forecasts, 2014, 31(5): 13-19.
李泽文, 周强, 杨永增. 基于LAGFD-WAM海浪数值模式的海南万宁近海波浪能资源评估[J]. 海洋预报, 2014, 31(5): 13-19.