scholarly journals Fine Particulates Matter (PM2.5) from Coal-fired Power Plant in Manjung and its Health Impacts

2013 ◽  
Vol 85 ◽  
pp. 92-99 ◽  
Author(s):  
Shamzani Affendy Mohd Din ◽  
Nik Nurul-Hidayah Nik Yahya ◽  
Alias Abdullah
Author(s):  
Toyoaki Sawano ◽  
Yuki Senoo ◽  
Izumi Yoshida ◽  
Akihiko Ozaki ◽  
Yoshitaka Nishikawa ◽  
...  

Abstract Emergency evacuation during disasters may have significant health impacts on vulnerable populations. The Japanese Government issued evacuation orders for surrounding residents of the Fukushima Daiichi nuclear power plant (FDNPP) immediately after the March 11, 2011, nuclear accident. Little is known of difficulties associated with the disaster-specific evacuation from health care facilities located in this area. Among the 338 patients hospitalized at Futaba Hospital, located 4.6 km west of FDNPP, at the time of the accident, 39 patients (11.5%), predominantly critically ill patients who were bedridden or disabled, died before the evacuation was completed. The shortage of hospital staff and disruption of infrastructure resulted in a lack of adequate care provision, such as infusion therapy or sputum suctioning, leading to premature death of some hospitalized patients during the emergency hospital evacuation. As hospital evacuation is sometimes unavoidable during disasters, potential health impacts of hospital evacuation should be recognized and reflected in disaster preparedness plans.


2016 ◽  
Vol 23 (20) ◽  
pp. 20922-20936 ◽  
Author(s):  
Reza Fouladi Fard ◽  
Kazem Naddafi ◽  
Masud Yunesian ◽  
Ramin Nabizadeh Nodehi ◽  
Mohammad Hadi Dehghani ◽  
...  

Energies ◽  
2017 ◽  
Vol 10 (12) ◽  
pp. 2136 ◽  
Author(s):  
Mojtaba Jorli ◽  
Steven Van Passel ◽  
Hossein Sadeghi ◽  
Alireza Nasseri ◽  
Lotfali Agheli

2005 ◽  
Vol 39 (7) ◽  
pp. 1199-1209 ◽  
Author(s):  
M LOPEZ ◽  
M ZUK ◽  
V GARIBAY ◽  
G TZINTZUN ◽  
R INIESTRA ◽  
...  

2018 ◽  
Vol 21 (0) ◽  
Author(s):  
LISIANE DA ROSA ◽  
MARIA ASSUNTA BUSATO ◽  
LUCIMARE FERRAZ ◽  
SILVIAMAR CAMPONOGARA

Abstract Introduction: the effects on human health of environmental changes brought about by the installation of a hydroelectric power plant may be physical or mental. Objective: to identify health impacts from the implementation of the Foz do Chapecó Hydroelectric Power Plant in the perspectives of the affected families. Methodology: a qualitative study was conducted with farming families affected by the reservoir of the Foz do Chapecó Hydroelectric Power Plant. Results: the transformation of the environment generated impacts on human health engendering illnesses like depression, hypertension, insomnia, and alcoholism. Conclusion: results presented in this paper indicate that, in addition to environmental and social aspects, questions relating to the health of the affected population must be taken into account when assessing the impacts generated by the installation of a hydroelectric power plant.


2015 ◽  
Vol 112 (35) ◽  
pp. 10884-10889 ◽  
Author(s):  
Paul Y. Kerl ◽  
Wenxian Zhang ◽  
Juan B. Moreno-Cruz ◽  
Athanasios Nenes ◽  
Matthew J. Realff ◽  
...  

Integrating accurate air quality modeling with decision making is hampered by complex atmospheric physics and chemistry and its coupling with atmospheric transport. Existing approaches to model the physics and chemistry accurately lead to significant computational burdens in computing the response of atmospheric concentrations to changes in emissions profiles. By integrating a reduced form of a fully coupled atmospheric model within a unit commitment optimization model, we allow, for the first time to our knowledge, a fully dynamical approach toward electricity planning that accurately and rapidly minimizes both cost and health impacts. The reduced-form model captures the response of spatially resolved air pollutant concentrations to changes in electricity-generating plant emissions on an hourly basis with accuracy comparable to a comprehensive air quality model. The integrated model allows for the inclusion of human health impacts into cost-based decisions for power plant operation. We use the new capability in a case study of the state of Georgia over the years of 2004–2011, and show that a shift in utilization among existing power plants during selected hourly periods could have provided a health cost savings of $175.9 million dollars for an additional electricity generation cost of $83.6 million in 2007 US dollars (USD2007). The case study illustrates how air pollutant health impacts can be cost-effectively minimized by intelligently modulating power plant operations over multihour periods, without implementing additional emissions control technologies.


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