Junkie love : romance and addiction on the big screen

This article investigates the filmic construction of two disparate but intertwining cultural practices: those engaging in the life-affirming rituals of romantic love and those performing the potentially self-destructive rituals of hard drug consumption. Discussing a number of key feature films from the (mini) genre “junkie love”, it aims to show what happens when elements of mainstream romantic drama merge with the horror conventions of the heroin addiction film. Drawing amongst others on Murray Smith’s theory of “levels of [spectator] engagement” and Greg Smith’s concept of the “emotion system”, the article concludes that junkie love films, using tropes of the romantic tragedy in the tradition of Romeo and Juliet, present a more complex and nuanced approach to drug addicts than the predominantly condemnatory media coverage—one that arguably invites the spectator’s understanding and compassion

A review of modelling methodologies for flood source area (FSA) identification

Flooding is an important global hazard that causes an average annual loss of over 40 billion USD and affects a population of over 250 million globally. The complex process of flooding depends on spatial and temporal factors such as weather patterns, topography, and geomorphology. In urban environments where the landscape is ever-changing, spatial factors such as ground cover, green spaces, and drainage systems have a significant impact. Understanding source areas that have a major impact on flooding is, therefore, crucial for strategic flood risk management (FRM). Although flood source area (FSA) identification is not a new concept, its application is only recently being applied in flood modelling research. Continuous improvements in the technology and methodology related to flood models have enabled this research to move beyond traditional methods, such that, in recent years, modelling projects have looked beyond affected areas and recognised the need to address flooding at its source, to study its influence on overall flood risk. These modelling approaches are emerging in the field of FRM and propose innovative methodologies for flood risk mitigation and design implementation; however, they are relatively under-examined. In this paper, we present a review of the modelling approaches currently used to identify FSAs, i.e. unit flood response (UFR) and adaptation-driven approaches (ADA). We highlight their potential for use in adaptive decision making and outline the key challenges for the adoption of such approaches in FRM practises

The Use of Linear Programming and Mathematical Models in Under-Ground Oil Production

This paper describes how linear programming models can be used to solve crude-oil producing problems for the purpose of economic planning of coordinated operations. Although the methods of linear programming have been used extensively in the oil industry, very little work has been reported to date in extending these methods to the area of underground oil production. Two separate models are presented. The first model schedules production and assumes either a completely developed field, or, in the case of only partially developed fields, it assumes a given drilling schedule. The second model schedules drilling-rig operations when it is assumed that the production from a given well follows a specified production-decline curve. Consideration also is given to a means for optimizing the investors rate of return which appears as a nonlinear parameter in the objective function.