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2. Shandong Academy of Environmental Science and Environmental Engineering Co.,Ltd., Jinan 250013, China;
3. Shandong Blue Town Analysis & Test Co.,Ltd., Jinan 250014, China;
4. Institute of Environment and Ecology, Shandong Normal University, Jinan 250014, China, fund=null, authors=Liu Ying1, Dong Wenping2, Liu Peng3, Liu Xiaohui1, Wang Weiliang1,4, authorsList=Liu Ying, Dong Wenping, Liu Peng, Liu Xiaohui, Wang Weiliang), CN=ArticleExt(id=1242136019101885252, articleId=1242136016593691450, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=南四湖主要入湖河流水环境质量状况及风险评估, columnId=1242116902361830275, journalTitle=科技导报, columnName=专题论文, runingTitle=null, highlight=null, articleAbstract=为研究南四湖入湖河流水环境质量状况及风险程度,于2013年采集14条入湖河流的水样测定了化学需氧量(COD)、氨氮(NH3-N)、总磷(TP)3种常规指标和Cr、As、Cd、Pb 4种重金属的含量。采用综合污染指数、层次分析法和风险熵评价了入湖河流水质污染程度、空间分布及重金属的风险等级。结果表明,14个监测断面污染最严重的为薛城大沙河、薛城小沙河、城郭河和老运河,综合污染指数分别为1.943、1.744、1.302和1.713,且TP污染突出。层次聚类的结果与之基本相符。重金属的风险熵评价结果显示,重金属铬(六价)、铅和砷的风险较低,而重金属镉有一定的风险。总体来说,南四湖入湖河流水质较好。, correspAuthors=null, authorNote=刘莹,硕士研究生,研究方向为水污染控制,电子信箱:2469048282@qq.com, correspAuthorsNote=王炜亮,副教授,研究方向为水污染控制,电子信箱:sunboyhood@163.com, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=4MVN5C06Yk8OfUMI77eMxw==, pdfFileSize=1455166, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=1. 山东师范大学地理与环境学院, 济南 250358;
2. 山东省环境保护科学研究设计院环境工程有限公司, 济南 250013;
3. 山东蓝城分析测试有限公司, 济南 250014;
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南四湖主要入湖河流水环境质量状况及风险评估
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科技导报 | 专题论文 2017, 35(9): 56-61
南四湖主要入湖河流水环境质量状况及风险评估
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刘莹1, 董文平2, 刘鹏3, 刘晓晖1, 王炜亮1,4
作者信息
    1. 山东师范大学地理与环境学院, 济南 250358;
    2. 山东省环境保护科学研究设计院环境工程有限公司, 济南 250013;
    3. 山东蓝城分析测试有限公司, 济南 250014;
    4. 山东师范大学环境与生态研究院, 济南 250014

通讯作者:

王炜亮,副教授,研究方向为水污染控制,电子信箱:sunboyhood@163.com
Evaluation of water environment quality and risk assessment for main inflow rivers of Nansi Lake
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出版时间: 2017-05-13
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为研究南四湖入湖河流水环境质量状况及风险程度,于2013年采集14条入湖河流的水样测定了化学需氧量(COD)、氨氮(NH3-N)、总磷(TP)3种常规指标和Cr、As、Cd、Pb 4种重金属的含量。采用综合污染指数、层次分析法和风险熵评价了入湖河流水质污染程度、空间分布及重金属的风险等级。结果表明,14个监测断面污染最严重的为薛城大沙河、薛城小沙河、城郭河和老运河,综合污染指数分别为1.943、1.744、1.302和1.713,且TP污染突出。层次聚类的结果与之基本相符。重金属的风险熵评价结果显示,重金属铬(六价)、铅和砷的风险较低,而重金属镉有一定的风险。总体来说,南四湖入湖河流水质较好。
水环境  /  重金属  /  污染评价  /  空间分布  /  南四湖入湖河流
In order to study the water environment quality and risk of the main inflow rivers of Nansi Lake, water was sampled in fourteen inflow rivers in 2013. Three routine(COD, NH3-N and TP)indexes and the concentrations of 4 heavy metals(Cr, As, Cd and Pb)were analyzed. Water quality, spatial distribution characteristics and risk of heavy metals were assessed using a combination method of comprehensive pollution index, analytic hierarchy and risk quotient. The results are shown as follows: The most polluted rivers are Xuechengxiaosha river, Xuechengdasha river, Chengguo river and Laoyun river, whose values of comprehensive pollution index are 1.943, 1.744, 1.302 and 1.713, respectively; and attention should be paid to the pollution of TP. The result of analytic hierarchy agrees with the result of comprehensive pollution index. The result of risk quotient for heavy metals shows that the risks of Cr6+, Pb and As are lower but Cd has a certain risk. The overall water quality of inflow rivers of Nansi Lake is good.
water environment  /  heavy metal  /  pollution assessment  /  spatial distribution  /  inflow rivers of Nansi Lake
刘莹, 董文平, 刘鹏, 刘晓晖, 王炜亮. 南四湖主要入湖河流水环境质量状况及风险评估. 科技导报, 2017 , 35 (9) : 56 -61 .
Liu Ying, Dong Wenping, Liu Peng, Liu Xiaohui, Wang Weiliang. Evaluation of water environment quality and risk assessment for main inflow rivers of Nansi Lake[J]. Science & Technology Review, 2017 , 35 (9) : 56 -61 .
2017年第35卷第9期
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  • 接收时间:2017-03-20
  • 首发时间:2017-05-15
  • 出版时间:2017-05-13
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  • 收稿日期:2017-03-20
  • 修回日期:2017-04-01
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王炜亮,副教授,研究方向为水污染控制,电子信箱:sunboyhood@163.com
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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