Quantitative method to determine the regional drinking water odorant regulation goals based on odor sensitivity distribution:Illustrated using 2-MIB  被引量:5

Quantitative method to determine the regional drinking water odorant regulation goals based on odor sensitivity distribution:Illustrated using 2-MIB

在线阅读下载全文

作  者:Jianwei Yu Wei An Nan Cao Min Yang Junong Gu Dong Zhang Ning Lu 

机构地区:[1]State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences,Chinese Academy of Sciences [2]Beijing Waterworks (Group) Co. Ltd. [3]Shanghai National Engineering Research Center of Urban Water Resources Co., Ltd.

出  处:《Journal of Environmental Sciences》2014年第7期1389-1394,共6页环境科学学报(英文版)

基  金:supported by the National Natural Science Foundation of China (No. 21377144, 50938007,);the Funds for Major Science and Technology Program for Water Pollution Control and Treatment (No. 2012ZX07403-002-02);the Key Scientific and Technological Projects of Science and Technology Commission of Shanghai Municipality (No. 12231201600)

摘  要:Taste and odor (T/O) in drinking water often cause consumer complaints and are thus regulated in many countries. However, people in different regions may exhibit different sensitivities toward WO. This study proposed a method to determine the regional drinking water odorant regulation goals (ORGs) based on the odor sensitivity distribution of the local population. The distribution of odor sensitivity to 2-methylisobomeol (2-MIB) by the local population in Beijing, China was revealed by using a normal distribution function/model to describe the odor complaint response to a 2-MIB episode in 2005, and a 2-MIB concentration of 12.9 ng/L and FPA (flavor profile analysis) intensity of 2.5 was found to be the critical point to cause odor complaints. Thus the Beijing ORG for 2-MIB was determined to be 12.9 ng/L. Based on the assumption that the local FPA panel can represent the local population in terms of sensitivity to odor, and that the critical FPA intensity causing odor complaints was 2.5, this study tried to determine the ORGs for seven other cities of China by performing FPA tests using an FPA panel from the corresponding city. ORG values between 12.9 and 31.6 ng/L were determined, showing that a unified ORG may not be suitable for drinking water odor regulations. This study presents a novel approach for setting drinking water odor regulations.Taste and odor (T/O) in drinking water often cause consumer complaints and are thus regulated in many countries. However, people in different regions may exhibit different sensitivities toward WO. This study proposed a method to determine the regional drinking water odorant regulation goals (ORGs) based on the odor sensitivity distribution of the local population. The distribution of odor sensitivity to 2-methylisobomeol (2-MIB) by the local population in Beijing, China was revealed by using a normal distribution function/model to describe the odor complaint response to a 2-MIB episode in 2005, and a 2-MIB concentration of 12.9 ng/L and FPA (flavor profile analysis) intensity of 2.5 was found to be the critical point to cause odor complaints. Thus the Beijing ORG for 2-MIB was determined to be 12.9 ng/L. Based on the assumption that the local FPA panel can represent the local population in terms of sensitivity to odor, and that the critical FPA intensity causing odor complaints was 2.5, this study tried to determine the ORGs for seven other cities of China by performing FPA tests using an FPA panel from the corresponding city. ORG values between 12.9 and 31.6 ng/L were determined, showing that a unified ORG may not be suitable for drinking water odor regulations. This study presents a novel approach for setting drinking water odor regulations.

关 键 词:Drinking water odorOdor sensitivity distributionOdor regulation goalFlavor profile analysisOdor episode 

分 类 号:TU991.2[建筑科学—市政工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象