Zoned strategy for water pollutant emissions of China based on spatial heterogeneity analysis

2020 ◽  
Vol 28 (1) ◽  
pp. 763-774
Author(s):  
Yanqi Guo ◽  
Yonggui Wang ◽  
Xiaolong Chen ◽  
Shuihua Yang
Keyword(s):  
Spatial Heterogeneity ◽  
Pollutant Emissions ◽  
Heterogeneity Analysis ◽  
Water Pollutant

scholarly journals OA 07.06 Innate Genetic Evolution of Lung Cancers and Spatial Heterogeneity: Analysis of Treatment-Naïve Lesions

2017 ◽  
Vol 12 (11) ◽  
pp. S1762-S1763
Author(s):  
K. Suda ◽  
J. Kim ◽  
I. Murakami ◽  
L. Rozeboom ◽  
C. Rivard ◽  
...  
Keyword(s):  
Spatial Heterogeneity ◽  
Genetic Evolution ◽  
Lung Cancers ◽  
Treatment Naïve ◽  
Heterogeneity Analysis

scholarly journals Innate Genetic Evolution of Lung Cancers and Spatial Heterogeneity: Analysis of Treatment-Naïve Lesions

2018 ◽  
Vol 13 (10) ◽  
pp. 1496-1507 ◽  
Author(s):  
Kenichi Suda ◽  
Jihye Kim ◽  
Isao Murakami ◽  
Leslie Rozeboom ◽  
Masaki Shimoji ◽  
...  
Keyword(s):  
Spatial Heterogeneity ◽  
Genetic Evolution ◽  
Lung Cancers ◽  
Treatment Naïve ◽  
Heterogeneity Analysis

scholarly journals Spatial heterogeneity analysis of brain activation in fMRI

2014 ◽  
Vol 5 ◽  
pp. 266-276 ◽  
Author(s):  
Lalit Gupta ◽  
René M.H. Besseling ◽  
Geke M. Overvliet ◽  
Paul A.M. Hofman ◽  
Anton de Louw ◽  
...  
Keyword(s):  
Spatial Heterogeneity ◽  
Brain Activation ◽  
Heterogeneity Analysis

Comprehensive Evaluation of Environmental Policy for Water Pollutants Reduction in Beijing, China

2013 ◽  
Vol 726-731 ◽  
pp. 1833-1838 ◽  
Author(s):  
Guo Feng Zhang ◽  
Tun Yen Wang ◽  
Takeshi Mizunoya ◽  
Helmut Yabar ◽  
Jing Jing Yan ◽  
...  
Keyword(s):  
Economic Model ◽  
Comprehensive Evaluation ◽  
Linear Optimization ◽  
Pollutant Emissions ◽  
Economic Activities ◽  
Environmental Model ◽  
Water Pollutants ◽  
Optimization Simulation ◽  
Water Pollutant ◽  
Net Load

The purpose of this paper is to construct a dynamic comprehensive optimization simulation model to forecast the net load of water pollutant and economic growth rate of Beijing. Our results propose an optimal policy for helping to achieve the goal of sustainable development. We performed a linear optimization modeling by using LINGO software to simulate a socio-economic model and an environmental model with input-output table. The socio-economic model represents the relationship between socio-economic activities and water pollutant emissions. The environmental model represents the changes in the amount of water pollutants generated.

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