{"title":"Model Analysis of Upper Digestive Tract Cancer and Environmental Pollution in Huaihe River Watershed","authors":"Yang Gong-huan","doi":"10.3724/sp.j.1047.2012.00432","DOIUrl":null,"url":null,"abstract":"The Huaihe River watershed has been suffering from industrial point pollution and other non-point pollution since 1970s.The media has reported the emergence of 'cancer village'.Spatial distribution pattern on upper digestive tract cancer and environmental factors was studied in 14 pilot counties including 5810 villages in Huaihe River watershed.From the multiple perspectives such as watershed and jurisdictional areas,Ordinary Least Squares(OLS) and Robust regression model were used for environmental factors selection.Robust regression model can detect abnormal value and put the weight for each of them.Surface water,phreatic water,river density,soil PAHs,fertilizer,population density and economical density(GDP) were imported into the model.Geographically Weighted Regression(GWR) model was used to locally detect the impact of different environmental factors on Empirical Bayes smoothed upper digestive tract cancer mortality.Through the correlative analysis of them,the risk assessment model of upper digestive tract cancer mortality was developed.Based on the regression coefficient of each environmental factor and statistical test in each pilot,the local main environmental factors were extracted.Even six factors were imported into the global regression model,the impact of each factor was different in distinct areas.In general,all the selected environmental factors show the positive correlation with the upper digestive tract cancer mortality except the surface water quality level and GDP.However the pollution type was diverse in different area based on the regression coefficient of each factor.The main findings were listed as follow: fertilizer amount,soil PAHs,GDP and river density are the main factors in Jiangsu segment in Huaihe River watershed;main factors in Anhui segment included soil PAHs and fertilizer amount;main factors in Henan segment included phreatic water,river density and fertilizer amount,With Shenqiu County,as one of the pilots in Henan,showed the strong positive correlation between surface water and cancer mortality;some kind of environmental risk factors were also detected in Shandong segment,but the result showed no correlation between these risk factors and cancer mortality,which needed to be studied any further.","PeriodicalId":67025,"journal":{"name":"地球信息科学学报","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"地球信息科学学报","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.3724/sp.j.1047.2012.00432","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The Huaihe River watershed has been suffering from industrial point pollution and other non-point pollution since 1970s.The media has reported the emergence of 'cancer village'.Spatial distribution pattern on upper digestive tract cancer and environmental factors was studied in 14 pilot counties including 5810 villages in Huaihe River watershed.From the multiple perspectives such as watershed and jurisdictional areas,Ordinary Least Squares(OLS) and Robust regression model were used for environmental factors selection.Robust regression model can detect abnormal value and put the weight for each of them.Surface water,phreatic water,river density,soil PAHs,fertilizer,population density and economical density(GDP) were imported into the model.Geographically Weighted Regression(GWR) model was used to locally detect the impact of different environmental factors on Empirical Bayes smoothed upper digestive tract cancer mortality.Through the correlative analysis of them,the risk assessment model of upper digestive tract cancer mortality was developed.Based on the regression coefficient of each environmental factor and statistical test in each pilot,the local main environmental factors were extracted.Even six factors were imported into the global regression model,the impact of each factor was different in distinct areas.In general,all the selected environmental factors show the positive correlation with the upper digestive tract cancer mortality except the surface water quality level and GDP.However the pollution type was diverse in different area based on the regression coefficient of each factor.The main findings were listed as follow: fertilizer amount,soil PAHs,GDP and river density are the main factors in Jiangsu segment in Huaihe River watershed;main factors in Anhui segment included soil PAHs and fertilizer amount;main factors in Henan segment included phreatic water,river density and fertilizer amount,With Shenqiu County,as one of the pilots in Henan,showed the strong positive correlation between surface water and cancer mortality;some kind of environmental risk factors were also detected in Shandong segment,but the result showed no correlation between these risk factors and cancer mortality,which needed to be studied any further.
期刊介绍:
Journal of Geo-Information Science is an academic journal under the supervision of Chinese Academy of Sciences, jointly sponsored by Institute of Geographic Sciences and Resources, Chinese Academy of Sciences and Chinese Geographical Society, and also co-sponsored by State Key Laboratory of Resource and Environmental Information System, Key Laboratory of Virtual Geographic Environment of Ministry of Education and Key Laboratory of 3D Information Acquisition and Application of Ministry of Education. Founded in 1996, it is openly circulated in the form of a monthly magazine.
Journal of Geoinformation Science focuses on publishing academic papers with geographic system information flow as the main research object, covering research topics such as geographic information cognitive theory, geospatial big data mining, geospatial intelligent analysis, etc., and pays special attention to the innovative results of theoretical methods in geoinformation science. The journal is aimed at scientific researchers, engineers and decision makers in the fields of cartography and GIS, remote sensing science, surveying and mapping science and technology. It is a core journal of China Science Citation Database (CSCD), a core journal of Chinese science and technology, a national Chinese core journal in domestic and international databases, and it is included in international databases, such as EI Compendex, Geobase, and Scopus.