Ethics and Technical Assessment after a Disaster: An Ongoing Case Study

Author(s):  
Norma Jean Mattei
Keyword(s):  
Author(s):  
Leily Nurul Komariah ◽  
Susila Arita ◽  
Baikuni E Prianda ◽  
Tri K Dewi

2000 ◽  
Vol 41 (6) ◽  
pp. 1-8 ◽  
Author(s):  
K. S. Manning ◽  
J. A. Jeavons

Odour pollution is traditionally categorised as a public health issue, controlledv, ia statutory legislation with the emphasis on control rather than prevention. As society demands a higher quality environment, odour pollution increases in importance as an amenity issue. Planning authorities can refuse planning permission on the grounds that the odour nuisance from the proposed development will be detrimental to the amenity of the area. Planningauthorities are therefore in the unique position of being able to prevent odour pollution. Potential odour polluters are under increasing pressure to demonstrate to planning authorities that odour has been minimised as far as possible. The communication of technical odour control data and assessments, through mechanisms such as Environmental Impact Assessments (EIA), is becoming an important part of the decision making process. The lack of specific odour policy and guidance within the planning arena is highlighted. The reconstruction of Derby Sewage Treatment works (STW) is used a a case study to highlight how a technical assessment of odour emissions, using the WRc Sewage Treatment Odour Production (STOP) Model can be successfully used within the planning arena to achieve planning permission with no additional conditions.


Energies ◽  
2019 ◽  
Vol 12 (18) ◽  
pp. 3561 ◽  
Author(s):  
Kunicki ◽  
Borucki ◽  
Cichoń ◽  
Frymus

A proposal of the dynamic thermal rating (DTR) applied and optimized for low-loaded power transformers equipped with on-line hot-spot (HS) measuring systems is presented in the paper. The proposed method concerns the particular population of mid-voltage (MV) to high-voltage (HV) transformers, a case study of the population of over 1500 units with low average load is analyzed. Three representative real-life working units are selected for the method evaluation and verification. Temperatures used for analysis were measured continuously within two years with 1 h steps. Data from 2016 are used to train selected models based on various machine learning (ML) algorithms. Data from 2017 are used to verify the trained models and to validate the method. Accuracy analysis of all applied ML algorithms is discussed and compared to the conventional thermal model. As a result, the best accuracy of the prediction of HS temperatures is yielded by a generalized linear model (GLM) with mean prediction error below 0.71% for winding HS. The proposed method may be implemented as a part of the technical assessment decision support systems and freely adopted for other electrical power apparatus after relevant data are provided for the learning process and as predictors for trained models.


Author(s):  
Ighball Baniasad Askari ◽  
Lina Baniasad Askari ◽  
Mohammad Mehdi Kaykhah

Wind data collected of the three synoptic sites for the period of Jul 2006 to Jun 2008 at the height of 40 m has been used to study the wind characteristics, monthly and annual wind energy potential for three agricultural districts in Kerman ( 30°15/N, 56°58/E ), Iran. Two statistical methods (Meteorological and Weibull) have been applied to determine the wind characteristics. Wind energy density, mean wind speeds and wind speed directions have been investigated. A technical assessment has been done and the electricity generation from five different wind turbines having capacity of (26 kW, 100 kW, 300 kW, 600 kW and 660 kW) has been calculated. The results show that all the locations studied are not suitable for electric wind application in a large-scale.


2014 ◽  
Vol 38 (01) ◽  
pp. 102-129
Author(s):  
ALBERTO MARTÍN ÁLVAREZ ◽  
EUDALD CORTINA ORERO

AbstractUsing interviews with former militants and previously unpublished documents, this article traces the genesis and internal dynamics of the Ejército Revolucionario del Pueblo (People's Revolutionary Army, ERP) in El Salvador during the early years of its existence (1970–6). This period was marked by the inability of the ERP to maintain internal coherence or any consensus on revolutionary strategy, which led to a series of splits and internal fights over control of the organisation. The evidence marshalled in this case study sheds new light on the origins of the armed Salvadorean Left and thus contributes to a wider understanding of the processes of formation and internal dynamics of armed left-wing groups that emerged from the 1960s onwards in Latin America.


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