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乡镇尺度下河流生态系统健康评价:以宜昌市良斗河为例
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  • 英文篇名:HEALTH ASSESSMENT OF RIVER ECOSYSTEM AT THE TOWNSHIP SCALES:A CASE STUDY OF LIANGDOU RIVER IN YICHANG
  • 作者:粟一帆 ; 李卫明 ; 朱澄浩 ; 李金京 ; 孙徐阳 ; 胡威 ; 刘德富
  • 英文作者:SU Yi-fan;LI Wei-ming;ZHU Cheng-hao;LI Jin-jing;SUN Xu-yang;HU Wei;LIU De-fu;College of Hydropower and Enviorment Engineering,China Three Gorges University;
  • 关键词:乡镇尺度 ; 河流生态系统 ; 健康评价 ; 水环境 ; BP神经网络
  • 英文关键词:township scales;;river ecosystem;;health assessment;;water environment;;Back Propagation Neural Network
  • 中文刊名:环境工程
  • 英文刊名:Environmental Engineering
  • 机构:三峡大学水利与环境学院;
  • 出版日期:2019-05-31 09:08
  • 出版单位:环境工程
  • 年:2019
  • 期:10
  • 基金:国家自然科学基金青年科学基金项目(51309139)
  • 语种:中文;
  • 页:94-99
  • 页数:6
  • CN:11-2097/X
  • ISSN:1000-8942
  • 分类号:X826
摘要
为探明乡镇尺度下河流健康状况,采用层次分析法、BP神经网络和赋分法评价良斗河河流健康程度。健康等级评价结果表明:全流域8个样点中,有50%的样点为Ⅰ级,37. 5%为Ⅱ级,12. 5%为Ⅲ级。健康状况较好的样点主要分布在河流上游,随径流河流健康状况逐渐变差,良斗河河流生态系统健康状况具有较强的空间异质性。单因子评价结果显示:引起各乡镇河段生态系统健康状况变化的主要因素各不相同,水环境指标的影响最为突出,是良斗河健康评价中必不可少的指标类型。
        In order to study river health status located in township scales,this paper was based on the analytic hierarchy process,BP neural network and the score method to evaluate the health of the Liangdou River. The result indicated that:among the eight samples in the whole basin,50% of the samples were grade Ⅰ,37. 5% are grade Ⅱ,and 12. 5% were gradeⅢ. The samples with better health status were mainly distributed in the upper reaches of the river. The upstream was better than the midstream and downstream where the spatial heterogeneity of the health condition was stronger. Results of single factor evaluation showed that the reason of the descent of the health status in each township river section was different in its own way.However,water environment indicators played the most significant role in the health status of Liangdou River.
引文
[1] Fan H,He D M,Wang H L. Environmental consequences of damming the mainstream Lancang-Mekong River:a review[J].Earth-Science Reviews,2015,146:77-91.
    [2]粟一帆,李卫明,艾志强,等.汉江中下游生态系统健康评价指标体系构建及其应用[J].生态学报,2019,39(11):3895-3907.
    [3]曹宸,李叙勇.区县尺度下的河流生态系统健康评价:以北京房山区为例[J].生态学报,2018,38(12):4296-4306.
    [4] Luo Z,Zuo Q,Shao Q. A new framework for assessing river ecosystem health with consideration of human service demand[J].Sci Total Environ,2018,640/641:442-453.
    [5] Li T,Ding Y,Xia W. An integrated method for waterway health assessment:a case in the Jingjiang reach of the Yangtze River,China[J]. Physical Geography,2018,39(1):67-83.
    [6] Karr J R. Assessment of biotic integrity using fish communities[J].Fisheries,1981,6(6):21-27.
    [7] Sudaryanti S,Trihadiningrum Y,Hart B T,et al. Assessment of the biological health of the Brantas River,East Java,Indonesia using the Australian River Assessment System(AUSRIVAS)methodology[J]. Aquatic Ecology,2001,35(2):135-146.
    [8]陈淼,苏晓磊,党成强,等.三峡水库河流生境评价指标体系构建及应用[J].生态学报,2017,37(24):8433-8444.
    [9]曹泠然,李品良,李深奇,等.模糊综合评判与灰色聚类分析在河流健康评价的应用[J].环境工程,2018,36(8):189-192.
    [10]张祺,景朝霞,刘燚,等.针对正态样本的模糊综合评价法在巢湖水质评价中的应用[J].环境工程,2015,33(3):110-112,135.
    [11]刘宁,田力威,赵宏伟.基于层次分析法的徒骇河适宜性评价[J].环境工程,2016,34(4):142-145,115.
    [12]王硕,张建云,林育青,等.基于大型底栖动物多度量指数的河流多尺度评价[J].环境科学研究,2018,32(2):284-292.
    [13]顾晓昀,徐宗学,刘麟菲,等.北京北运河河流生态系统健康评价[J].环境科学,2018,39(6):2576-2587.
    [14]邱阳凌,林育青,刘俊杰,等.淮河干流及主要支流夏季浮游植物群落生物多样性评价[J].环境科学学报,2018,38(4):1665-1672.
    [15]邓明星,黄亮亮,莫苑敏,等.应用鱼类生物完整性指数评价荔浦河河流健康[J].生态毒理学报,2018,13(4):111-119.
    [16]徐伟,董增川,付晓花,等.基于BP人工神经网络的河流生态健康预警[J].河海大学学报(自然科学版),2015,43(1):54-59.
    [17]孙会君,王新华.应用人工神经网络确定评价指标的权重[J].山东科技大学学报(自然科学版),2001,20(3):84-86.
    [18]李卫明,艾志强,刘德富,等.基于水电梯级开发的河流生态健康研究[J].长江流域资源与环境,2016,25(6):957-964.
    [19]李梦娣,范俊韬,孔维静,等.河流山区段水生态安全评估:以太子河为例[J].应用生态学报,2018,29(8):2685-2694.
    [20]王愿珠,程鹏飞,刘德富,等.生物膜贴壁培养小球藻净化猪粪沼液废水的效果[J].环境科学,2017,38(8):3354-3361.
    [21] Montanhini Neto R,Nocko H R,Ostrensky A. Carrying capacity and potential environmental impact of fish farming in the cascade reservoirs of the Paranapanema River,Brazil[J]. Aquaculture Research,2017,48(7):3433-3449.
    [22]刘清香,王婷,许旭明,等.汉江中下游硅藻群落时空分布及其影响因素研究[J].北京大学学报(自然科学版),2018,54(4):848-856.
    [23] Fabricius A L,Duester L,Ecker D,et al. Metal and metalloid size-fractionation strategies in spatial high-resolution sediment pore water profiles[J]. Environmental science&technology,2016,50(17):9506-9514.
    [24] Wang J,Zhao L,Wei H. Variable diffusion boundary layer and diffusion flux at sediment-water interface in response to dynamic forcing over an intertidal mudflat[J]. Chinese science bulletin,2012,57(13):1568-1577.
    [25] Ryan Bellmore J,Duda J J,Craig L S,et al. Status and trends of dam removal research in the United States[J]. Wiley Interdisciplinary Reviews:Water,2017,4(2):1164.
    [26]李柏山.水资源开发利用对汉江流域水生态环境影响及生态系统健康评价研究[D].武汉:武汉大学,2013.
    [27]郭燕,杨邵,沈雅飞,等.三峡库区消落带现存草本植物组成与生态位[J].应用生态学报,2018,29(11):3559-3568.
    [28]徐建霞,王建柱.三峡库区香溪河消落带植被群落特征与土壤环境相关性[J].生态学杂志,2018,37(12):3661-3669.
    [29]郭燕,程瑞梅,杨邵,等.三峡库区不同植被类型消落带土壤重金属含量的时空变异[J].生态学杂志,2018,37(8):2497-2504.

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