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However, it may also have an adverse impact on the environment, particularly, the agricultural non-point source pollution caused by agricultural nutrient loss. This paper aims to gain a systematic and full understanding of phosphorus loss risks involved in the distribution and principal factors of agricultural land in Yellow River basin, and to provide some guidance for the agricultural non-point source pollution control and the modernization management of agriculture. Based on the GIS technical and nutrient balance calculation method, with the help of the widespread applied phosphorus index method, we establish each target system and compute the phosphorus pollution risk index, and then use them to carry out the non-point source phosphorus pollution risk appraisal of the main agricultural land in the Yellow River basin. The results show that the regions which have the middle and high non-point source phosphorus pollution risk indices take, respectively, 41.85% and 34.85% of the main agricultural land, and are mainly located in the lower reaches of the Yellow River and coastal areas of agricultural development; the low and high risk regions take, respectively, 11.62% and 11.69%, and are located centrally in the middle of the river basin district and the eastern part of the vast plain area. The Yellow River basin is the middle phosphorus pollute risk basin for the agricultural land. , authors=null, authorsList=null, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=SONG YUE JUN, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=aJhs3ZOBZTI2nzAUXtWVqw==, pdfFileSize=1584474, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242120149487128600, articleId=1242120146744050603, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=黄河流域农用地非点源磷污染危险性评价, columnId=1146540929516700224, journalTitle=科技导报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=化肥的施用为中国的粮食的增产起到了不可忽视的作用,但是不合理的盲目施肥会对环境产生不良影响,特别是农田养分流失造成的农业非点源污染。为了系统、全面的识别黄河流域农用地磷流失风险高低的空间分布情况和主要影响因子,服务于农业面源污染防治和现代化农业管理,本研究以地理信息系统(GIS)的空间分析功能和养分平衡计算等方法为依托,参照国际常用的磷指数法尝试性的对黄河流域主要农用地进行了农业非点源磷污染风险评价,结果表明:风险指数以中高为主,分别占流域的41.85%和34.85%,主要分布在黄河沿岸及中下游农业开发地区,而低和很高的分别占到了11.62%和11.69%,分别集中位于流域的中部地区和东部广大下游冲积平原地区, 此流域属于农用地磷流失风险指数中等的流域。, authors=宋月君1,刘永美2,杨 洁1,莫明浩1,张利超1 , authorsList=宋月君;刘永美;杨 洁;莫明浩;张利超, authorCompany=1. 江西省水土保持科学研究所,南昌 3300292. 山东路科信息咨询公司,济南 250100, correspAuthors=null, authorNote=null, correspAuthorsNote=宋月君, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=4w/6KiKG7ZHKBFqCkdmJpA==, pdfFileSize=1584474, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null)}, authors=null, 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科技导报
|研究论文
2010
, 28
(12) :
66
-71
黄河流域农用地非点源磷污染危险性评价
全屏
宋月君1,刘永美2,杨 洁1,莫明浩1,张利超1
作者信息
1. 江西省水土保持科学研究所,南昌 3300292. 山东路科信息咨询公司,济南 250100
通讯作者:
宋月君
Risk Appraisal of the Non-point Source Phosphorus Pollution of Agriculture Land in Yellow River Basin
Affiliations
Corresponding Author:
SONG YUE JUN
出版时间: 2010-06-28
文章导航
化肥的施用为中国的粮食的增产起到了不可忽视的作用,但是不合理的盲目施肥会对环境产生不良影响,特别是农田养分流失造成的农业非点源污染。为了系统、全面的识别黄河流域农用地磷流失风险高低的空间分布情况和主要影响因子,服务于农业面源污染防治和现代化农业管理,本研究以地理信息系统(GIS)的空间分析功能和养分平衡计算等方法为依托,参照国际常用的磷指数法尝试性的对黄河流域主要农用地进行了农业非点源磷污染风险评价,结果表明:风险指数以中高为主,分别占流域的41.85%和34.85%,主要分布在黄河沿岸及中下游农业开发地区,而低和很高的分别占到了11.62%和11.69%,分别集中位于流域的中部地区和东部广大下游冲积平原地区, 此流域属于农用地磷流失风险指数中等的流域。
黄河流域
/
磷指数法
/
GIS技术
/
ArcGIS软件
/
危险性评价
The application of chemical fertilizers plays a significant role in increasing the output of grain in China. However, it may also have an adverse impact on the environment, particularly, the agricultural non-point source pollution caused by agricultural nutrient loss. This paper aims to gain a systematic and full understanding of phosphorus loss risks involved in the distribution and principal factors of agricultural land in Yellow River basin, and to provide some guidance for the agricultural non-point source pollution control and the modernization management of agriculture. Based on the GIS technical and nutrient balance calculation method, with the help of the widespread applied phosphorus index method, we establish each target system and compute the phosphorus pollution risk index, and then use them to carry out the non-point source phosphorus pollution risk appraisal of the main agricultural land in the Yellow River basin. The results show that the regions which have the middle and high non-point source phosphorus pollution risk indices take, respectively, 41.85% and 34.85% of the main agricultural land, and are mainly located in the lower reaches of the Yellow River and coastal areas of agricultural development; the low and high risk regions take, respectively, 11.62% and 11.69%, and are located centrally in the middle of the river basin district and the eastern part of the vast plain area. The Yellow River basin is the middle phosphorus pollute risk basin for the agricultural land.
Yellow River basin
/
phosphorus index method
/
the GIS technology
/
ArcGIS software
/
risk appraisal
宋月君;刘永美;杨 洁;莫明浩;张利超.
黄河流域农用地非点源磷污染危险性评价.
科技导报,
2010
, 28
(12)
: 66
-71
.
.
Risk Appraisal of the Non-point Source Phosphorus Pollution of Agriculture Land in Yellow River Basin[J].
Science & Technology Review ,
2010
, 28
(12)
: 66
-71
.
2010年第28卷第12期
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接收时间:2010-03-24
首发时间:2010-06-28
出版时间:2010-06-28
收稿日期:2010-03-24
修回日期:2010-05-25
https://castjournals.cast.org.cn/joweb/kjdb/CN/1242120146744050603
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2种不同金属材料的力学参数
科 Family 属数 Number of genus 种数 Number of species 占总种数比例 Percentage of total species (%) 属 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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