深圳市浴场用海定级研究

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

海洋学研究 ›› 2019, Vol. 37 ›› Issue (4): 79-84.DOI: 10.3969/j.issn.1001-909X.2019.04.008

深圳市浴场用海定级研究

崔东阳^1,2, 陈萍³, 吴桂敏², 唐琳²

1.哈尔滨工业大学(深圳) 计算机科学与技术学院, 广东深圳 518055;
2.深圳市不动产评估中心, 广东深圳 518040;
3.深圳大学经济学院,广东深圳 518060

收稿日期:2019-05-29 修回日期:2019-07-30 出版日期:2019-12-15 发布日期:2022-11-10
作者简介:崔东阳(1984-),男, 河南南阳市人, 博士, 主要从事海域资源价值评价研究。E-mail: ddccyang@163.com
基金资助:
自然资源部城市国土资源监测与仿真重点实验室开放基金资助;国家自然科学基金青年项目资助(41706085)

Research on grading of bathing beaches in Shenzhen

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

1. College of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China;
2. Shenzhen Real Estate Assessment Research Center, Shenzhen 518040, China;
3. College of Economics, Shenzhen University, Shenzhen 518060, China

Received:2019-05-29 Revised:2019-07-30 Online:2019-12-15 Published:2022-11-10

摘要/Abstract

摘要： 海域分等定级是制定海域使用金征收标准和开展海域资产价格评估的前提和依据。借鉴《海域定级技术指引(试行)》,遵循资源禀赋差异、收益差异、节约利用和生态用海的原则选取海域自然条件和海域区位条件2个定级因素及海水质量、海洋自然灾害等10个评价因子,构建深圳市浴场用海定级的评价指标体系。采用综合指数评价法计算出207个评价单元的得分情况,通过聚类分析方法和变异系数(CV)来校核级别,最终将浴场用海的海域划分为Ⅰ级(22.22%)、Ⅱ级(33.82%)和Ⅲ级(43.96%)3个级别。研究成果为海洋管理部门制定浴场用海不同级别的基准价格提供了依据。

关键词: 浴场用海, 定级, 指标体系, 深圳

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

中图分类号:

P748

崔东阳, 陈萍, 吴桂敏, 唐琳. 深圳市浴场用海定级研究[J]. 海洋学研究, 2019, 37(4): 79-84.

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.

参考文献

[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.

深圳市浴场用海定级研究

Research on grading of bathing beaches in Shenzhen

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 0

编辑推荐

Metrics