Time and space model of urban pollution migration: Economy-energy-environment nexus network

Liu G, Yang Z, Fath BD, Shi L, & Ulgiati S (2017). Time and space model of urban pollution migration: Economy-energy-environment nexus network. Applied Energy 186: 96-114. DOI:10.1016/j.apenergy.2016.06.132.

[img]
Preview
Text
1-s2.0-S0306261916309205-main.pdf
Available under License Creative Commons Attribution No Derivatives.

Download (5MB) | Preview

Abstract

In recent years, news of “cancer villages” in the Huaihe River Basin filled front and back pages of newspapers and generated elevated concern among readers. This study aims to understand the relationship between the “cancer villages” and the “large cities” around them. A gravity model is constructed to analyze the correlation between “big cities” and “cancer villages” in terms of indices involving economic connections and pollution frequency. Direct and indirect environmental relationships between large cities and “cancer villages” are analyzed using ecological network analysis, in particular the utility analysis method. Results of the pollution-utility analysis showed that cities distant from “cancer villages” can also affect the county through indirect connections. Based on the pollution utility relationship, we found that “cancer villages” both affect and are affected by cities through indirect feedback relationships. It can be inferred that “cancer villages” have a high incidence of malignant disease not only because of the pollution from its surrounding cities but also because of the influence of far-away cities through a network of interactions. In this way, the pollution of “cancer villages” may be heightened with harmful consequences to population health. Considering these indirect connections, not all of the “cancer villages” are able to reduce their pollution by transferring it to another city or county because it can return through indirect pathways. The best approach would be to lower the pollution generation in the first place in order to prevent its impacts, as well as to at least partially mitigate them through more effective medical care.

Item Type: Article
Uncontrolled Keywords: Cancer villages; City; Huaihe river basin; Gravity model; Utility analysis; Ecological network analysis
Research Programs: Advanced Systems Analysis (ASA)
Depositing User: Romeo Molina
Date Deposited: 08 Aug 2016 07:26
Last Modified: 28 May 2017 03:00
URI: http://pure.iiasa.ac.at/13553

Actions (login required)

View Item View Item

International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313