鉴于风险分布密集型港区的风险评价研究——以南京市龙潭港区为例
DOI:
CSTR:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

X824

基金项目:

国家水体污染控制与治理科技重大专项基金资助项目(2014ZX07405002);安徽省高等学校自然科学研究基金资助项目(KJ2017A465);安徽省高等学校省级教学研究基金资助项目(2016jyxm1050)


Study on Risk Assessment of Riskdistributionintensive Port Area ——Take the Longtan Port Area of Nanjing City as an Example
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    从码头主体风险和风险控制机制2个准则出发,构建了码头源风险评价指标体系和风险评价方法,提出,采用风险分布密集指数和码头源数量指数,反映港区内码头风险分布密集程度和码头数量对港区风险的影响程度。以码头风险评价方法为基础,综合考虑港区码头源风险大小、风险分布密集指数、码头源数量指数,建立了考虑风险分布密集型的港区风险评价方法。应用该方法对南京市龙潭港区进行风险评价,结果表明,南京市龙潭港区风险等级为高风险,港区内高风险码头共7座,且主要集中分布于南京长江四桥附近约2 km岸线内。

    Abstract:

    This study has established a risk assessment index system and evaluation method for quay based on the consideration of the quays risk and risk control mechanism. Considering that the current risk assessment method for the port area does not take into account the dense distribution of quays risk in the port area, the Risk Distribution Intensive Index and the Risk Source Quantity Index have been proposed, which respectively reflect the concentration of the risk distribution of the quay’s risk in the port area and the risk impact of the number of quay on the port area. Based on the quay risk assessment method and considering the quay risk, Risk Distribution Intensive Index and Risk Source Quantity Index of port area, a risk assessment method for the port area is established. The risk assessment method have been applied in Longtan Port Area in Nanjing, the result shows: The risk level of Longtan Port Area is high; There are 7 highrisk quays in the port area, which are mainly concentrated in the coastline of about 2 kilometers near the Nanjing Fourth Yangtze River Bridge.

    参考文献
    相似文献
    引证文献
引用本文

周琦,逄勇,贾剑虹,查雪珍.鉴于风险分布密集型港区的风险评价研究——以南京市龙潭港区为例[J].环境监控与预警,2018,10(5):1-5

复制
相关视频

分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2018-06-12
  • 最后修改日期:2018-06-26
  • 录用日期:
  • 在线发布日期: 2018-10-08
  • 出版日期:
文章二维码
版权所有:环境监控与预警

主办:江苏省环境监测中心 通信地址:南京市建邺区中和路100号 邮政编码:210019

联系电话:025-69586548 电子邮箱:hjjkyyj@163.com

技术支持:北京勤云科技发展有限公司