A profound understanding of the costs to perform condition assessment on buried drinking water pipeline infrastructure is required for enhanced asset management. Toward this end, an automated and uniform method of col...A profound understanding of the costs to perform condition assessment on buried drinking water pipeline infrastructure is required for enhanced asset management. Toward this end, an automated and uniform method of collecting cost data can provide water utilities a means for viewing, understanding, interpreting and visualizing complex geographically referenced cost information to reveal data relationships, patterns and trends. However, there has been no standard data model that allows automated data collection and interoperability across platforms. The primary objective of this research is to develop a standard cost data model for drinking water pipeline condition assessment projects and to conflate disparate datasets from differing utilities. The capabilities of this model will be further demonstrated through performing trend analyses. Field mapping files will be generated from the standard data model and demonstrated in an interactive web map created using Google Maps API （application programming interface） for JavaScript that allows the user to toggle project examples and to perform regional comparisons. The aggregation of standardized data and further use in mapping applications will help in providing timely access to condition assessment cost information and resources that will lead to enhanced asset management and resource allocation for drinking water utilities.展开更多
This paper aims to evaluate the cost of environmental degradation by adopting the conventional environmental economic methodology in China from 2004 to 2017 and summarize the change in both the causes and costs of Ch...This paper aims to evaluate the cost of environmental degradation by adopting the conventional environmental economic methodology in China from 2004 to 2017 and summarize the change in both the causes and costs of China’s environmental degradation.Results from this study revealed the following:i.The environmental degradation cost in China increased from 511 billion yuan to 1,892 billion yuan from 2004 to 2017,and its share in the GDP decreased from 3.05% to 2.23%;ii.The environmental degradation cost growth rate was lower than the GDP growth rate.The environmental degradation cost growth rate decreased sharply,by dropping from 10% in 2014 to 2% in 2017.The environmental benefits of industrial transformation have emerged;iii.The provinces of Shandong,Hebei,Jiangsu,Henan,and Guangdong had the highest environmental degradation costs.The annual average growth rate of the environmental degradation costs in Jiangsu,Guangdong,and Zhejiang were lower than their growth rate of the GDP respectively;iv.Consideration of environmental degradation cost in decision-making could contribute to the high-quality development of China.展开更多
文摘A profound understanding of the costs to perform condition assessment on buried drinking water pipeline infrastructure is required for enhanced asset management. Toward this end, an automated and uniform method of collecting cost data can provide water utilities a means for viewing, understanding, interpreting and visualizing complex geographically referenced cost information to reveal data relationships, patterns and trends. However, there has been no standard data model that allows automated data collection and interoperability across platforms. The primary objective of this research is to develop a standard cost data model for drinking water pipeline condition assessment projects and to conflate disparate datasets from differing utilities. The capabilities of this model will be further demonstrated through performing trend analyses. Field mapping files will be generated from the standard data model and demonstrated in an interactive web map created using Google Maps API （application programming interface） for JavaScript that allows the user to toggle project examples and to perform regional comparisons. The aggregation of standardized data and further use in mapping applications will help in providing timely access to condition assessment cost information and resources that will lead to enhanced asset management and resource allocation for drinking water utilities.
基金Supported by National Key Research and Development Program of China(No.2016YFC0207605)Ministry of Ecology and Environment Financial Program of China(No.2110105).
文摘This paper aims to evaluate the cost of environmental degradation by adopting the conventional environmental economic methodology in China from 2004 to 2017 and summarize the change in both the causes and costs of China’s environmental degradation.Results from this study revealed the following:i.The environmental degradation cost in China increased from 511 billion yuan to 1,892 billion yuan from 2004 to 2017,and its share in the GDP decreased from 3.05% to 2.23%;ii.The environmental degradation cost growth rate was lower than the GDP growth rate.The environmental degradation cost growth rate decreased sharply,by dropping from 10% in 2014 to 2% in 2017.The environmental benefits of industrial transformation have emerged;iii.The provinces of Shandong,Hebei,Jiangsu,Henan,and Guangdong had the highest environmental degradation costs.The annual average growth rate of the environmental degradation costs in Jiangsu,Guangdong,and Zhejiang were lower than their growth rate of the GDP respectively;iv.Consideration of environmental degradation cost in decision-making could contribute to the high-quality development of China.
