首页关于本刊影响因子及获奖投稿须知订阅及广告专辑与专题学术会议绿色发表通道优秀论文 
孔佩儒,陈利顶,孙然好,程先.海河流域面源污染风险格局识别与模拟优化.生态学报,2018,38(12):4445~4453 本文二维码信息
二维码(扫一下试试看!)
海河流域面源污染风险格局识别与模拟优化
Identification and optimized simulation of non-point source pollution risk patterns in the Haihe River Basin
投稿时间:2018-01-31  修订日期:2018-05-07
DOI: 10.5846/stxb201801310270
关键词海河流域  景观格局  最小累积阻力模型  面源污染  格局优化
Key WordsThe Haihe River Basin  landscape pattern  minimal cumulative resistance model  non-point source pollution  landscape pattern optimization
基金项目国家自然科学基金重大项目(41590840)
作者单位E-mail
孔佩儒 中国科学院生态环境研究中心 城市与区域生态国家重点实验室, 北京 100085
中国科学院大学, 北京 101407 
 
陈利顶 中国科学院生态环境研究中心 城市与区域生态国家重点实验室, 北京 100085
中国科学院大学, 北京 101407 
liding@rcees.ac.cn 
孙然好 中国科学院生态环境研究中心 城市与区域生态国家重点实验室, 北京 100085
中国科学院大学, 北京 101407 
 
程先 中国科学院生态环境研究中心 城市与区域生态国家重点实验室, 北京 100085
中国科学院大学, 北京 101407 
 
摘要点击次数 54
全文下载次数 29
摘要:
面源污染是海河流域面临的主要水生态环境问题,如何通过流域景观格局优化实现对面源污染的控制一直是研究的热点问题。通过最小累积阻力模型,以海河流域为研究对象,将流域景观要素及影响流域景观过程的外部因子相结合,对海河流域面源污染风险格局进行了识别,并将阻力格局与海河流域实测水环境指标进行相关性分析及验证,在此基础上对流域污染风险进行识别与优化模拟。结果表明海河流域有40%以上(130380 km2)区域面临高污染风险,集中分布在中南部平原地区以及山区河谷地带;对此设置河流植被缓冲带进行格局优化模拟分析,通过比较不同措施格局优化阻力值变化趋势表明,对于二级河流水系,加强河流两岸600-1600 m范围的人类活动管控,可以有效降低污染物输出,显著降低流域面源污染发生的风险。在面源污染风险等级较高的平原地区,设置300-400 m植被缓冲带,可将风险等级降低50%,设置700-800 m岸边植被缓冲带即可达到最佳效果;而在山区地区因风险较低,设置400-500 m的植被缓冲带即可达到最佳效果,能够将污染风险在现有基础上降低30%-40%。这一研究结果对海河流域景观格局优化和面源污染风险控制提供科学参考。
Abstract:
Non-point source pollution is a major water ecological environment problem that influences the water environment in the Haihe River Basin. Mechanisms for controlling non-point pollution by optimizing landscape patterns at the watershed scale has been a popular issue. In this study, the risk patterns of non-point source pollution was established using minimum cumulative resistance model, which combines landscape elements and external factors that influence landscape processes. Risk pattern verification was performed by correlation analysis between resistance values and measured pollutant data in the Haihe River Basin. Watershed non-point pollution risk was identified and simulation of landscape patterns were optimized based on the verified non-point source pollution risk patterns. The results showed that in the Haihe River Basin, more than 40% of the areas are at extremely high or high risk level, and are mostly concentrated in the southern plain area and mountain valleys along the river. The landscape pattern was optimized by setting the vegetation buffer zone along the riverside. The simulation analysis results indicatedthat in different sub-basins, strengtheningcontrols onhuman activities to reduce the pollutant output in theareas within 600-1600 meters on both sides of the river can significantly reduce the risk of non-point source pollution. In plain areas of the Haihe River Basin, the high risk levels of non-point source pollutioncan be reduced by 50% by setting the vegetation buffer zone to 300-400 meters and a 700-800 meter vegetation buffer zone can achieve the best effect. In mountainous areas with relatively low risk level, a 400-500 metervegetation buffer zone can reduce non-point source pollution risk most effectively. The results of this study provide a scientific reference for optimizing landscape patterns to control non-point source pollution risk in the Haihe River Basin.
HTML 查看全文   查看/发表评论  下载PDF阅读器

您是本站第 72171434 位访问者

Copyright © 2005-2019   京ICP备06018880号
地址:北京海淀区双清路18号
  邮编:100085    电话:010-62941099
  E-mail : shengtaixuebao@rcees.ac.cn
本系统由北京勤云科技发展有限公司提供技术支持