Turismo y desarrollo sostenible en la provincia de Samaná, República Dominicana

El turismo en la República Dominicana se ha convertido en el motor económico del país, aventajando a actividades tradicionales como la agricultura y la manufactura. Esta transformación de la matriz productiva está sustentada, en gran medida, en la construcción de grandes hoteles en diferentes zonas litorales del país. El presente estudio se centra en la península de Samaná, área de reciente desarrollo turístico que es usada reiteradamente por el Estado dominicano como exponente del desarrollo sostenible, alcanzado a través del fomento del sector servicios. El objetivo principal es determinar la veracidad de esta afirmación, mediante la identificación y la caracterización de los principales impactos ambientales, sociales y económicos generados por la construcción de complejos hoteleros. Además, se analizará el cumplimiento de la legislación ambiental por parte de las empresas constructoras de grandes hoteles así como el rol del organismo estatal competente en la conservación del entorno natural.

Simultaneous environmental and economic process synthesis of Isobutane Alkylation

This multidisciplinary study concerns the optimal design of processes with a view to both maximizing profit and minimizing environmental impacts. This can be achieved by a combination of traditional chemical process design methods, measurements of environmental impacts and advanced mathematical optimization techniques. More to the point, this paper presents a hybrid simulation-multiobjective optimization approach that at once optimizes the production cost and minimizes the associated environmental impacts of isobutane alkylation. This approach has also made it possible to obtain the flowsheet configurations and process variables that are needed to manufacture isooctane in a way that satisfies the above-stated double aim. The problem is formulated as a Generalized Disjunctive Programming problem and solved using state-of-the-art logic-based algorithms. It is shown, starting from existing alternatives for the process, that it is possible to systematically generate a superstructure that includes alternatives not previously considered. The optimal solution, in the form a Pareto curve, includes different structural alternatives from which the most suitable design can be selected. To evaluate the environmental impact, Life Cycle Assessment based on two different indicators is employed: Ecoindicator 99 and Global Warming Potential.

Combined simulation-optimization methodology for the design of environmental conscious absorption systems

This work addresses the optimization of ammonia–water absorption cycles for cooling and refrigeration applications with economic and environmental concerns. Our approach combines the capabilities of process simulation, multi-objective optimization (MOO), cost analysis and life cycle assessment (LCA). The optimization task is posed in mathematical terms as a multi-objective mixed-integer nonlinear program (moMINLP) that seeks to minimize the total annualized cost and environmental impact of the cycle. This moMINLP is solved by an outer-approximation strategy that iterates between primal nonlinear programming (NLP) subproblems with fixed binaries and a tailored mixed-integer linear programming (MILP) model. The capabilities of our approach are illustrated through its application to an ammonia–water absorption cycle used in cooling and refrigeration applications.

Complejos turísticos residenciales: análisis del crecimiento del turismo residencial en el Mediterráneo español y en el Litoral Nordestino (Brasil) y su impacto socio-ambiental

Entre las diversas formas de turismo que aparecen a partir de la segunda mitad del siglo pasado, el turismo residencial surge como uno de los principales fenómenos en los escenarios brasileño e internacional. El crecimiento de esta actividad ha sido un factor importante para la generación de empleo e ingresos en los municipios del litoral sudeste de Brasil y de la costa española mediterránea. Pero recientemente, se observa un crecimiento acelerado de esta modalidad de turismo en la costa del Nordeste de Brasil. Este proceso ha generado beneficios económicos para la región al igual que impactos socioambientales. El primer objetivo de este artículo fue realizar un enfoque exploratorio, identificando el escenario de la oferta y la demanda de la construcción de complejos turísticos residenciales en el Nordeste brasileño por medio del relevamiento de sites y entrevistas a las inmobiliarias, constructoras, incorporadoras, operadoras hoteleras y organismos públicos. Los resultados de la investigación muestran el gran interés del capital internacional en construir mega proyectos de segunda residencia en el nordeste, adaptados a la demanda internacional, principalmente europea. El segundo objetivo fue comparar y analizar la evolución, las etapas y las características del turismo residencial en la costa española mediterránea, como ejemplo de modelo consolidado, con la actividad en el Nordeste brasileño, como modelo en expansión. Se verificó que ambas regiones turísticas fueron afectadas por la crisis económica y por deficiencias estructurales de sus respectivos modelos, las cuales potencian impactos económicos y socioambientales.

Canales, sifones y almenaras: el impacto ambiental de las infraestructuras del Canal de Isabel II (Madrid)

El presente artículo tiene como finalidad, valorar el impacto ambiental de las conducciones del Canal de Isabel II en el contexto del paisaje. Partimos de la idea según la cual, las infraestructuras del Canal de Isabel II, y más que formar parte del paisaje por el que se extienden, son el propio paisaje. Nuestra zona de estudio es el noroeste de la Comunidad de Madrid (síntesis de la interacción de los propios agentes naturales, de la ocupación humana y de los usos del suelo), área a la que nos aproximarnos a través de la investigación de la integración paisajística, entendida ésta como una estrategia de intervención en el territorio, que tiene como objetivo principal orientar las transformaciones del paisaje o corregir las ya realizadas, para conseguir su adaptación al propio paisaje. En definitiva, nos encontramos ante la necesidad de ajustar un objeto o actuación territorial a las características fisonómicas de un paisaje dado, o de algunos de sus componentes, así como a su carácter y a sus contenidos semánticos.

Multi-objective optimization of environmentally conscious chemical supply chains under demand uncertainty

In this work, we analyze the effect of demand uncertainty on the multi-objective optimization of chemical supply chains (SC) considering simultaneously their economic and environmental performance. To this end, we present a stochastic multi-scenario mixed-integer linear program (MILP) with the unique feature of incorporating explicitly the demand uncertainty using scenarios with given probability of occurrence. The environmental performance is quantified following life cycle assessment (LCA) principles, which are represented in the model formulation through standard algebraic equations. The capabilities of our approach are illustrated through a case study. We show that the stochastic solution improves the economic performance of the SC in comparison with the deterministic one at any level of the environmental impact.

Handling of Uncertainty in Life Cycle Inventory by Correlated Multivariate Lognormal Distributions: Application to the Design of Supply Chain Networks

Poster presented in the 24th European Symposium on Computer Aided Process Engineering (ESCAPE 24), Budapest, Hungary, June 15-18, 2014.

Handling of Uncertainty in Life Cycle Inventory by Correlated Multivariate Lognormal Distributions: Application to the Design of Supply Chain Networks

In this work, we analyze the effect of incorporating life cycle inventory (LCI) uncertainty on the multi-objective optimization of chemical supply chains (SC) considering simultaneously their economic and environmental performance. To this end, we present a stochastic multi-scenario mixed-integer linear programming (MILP) coupled with a two-step transformation scenario generation algorithm with the unique feature of providing scenarios where the LCI random variables are correlated and each one of them has the desired lognormal marginal distribution. The environmental performance is quantified following life cycle assessment (LCA) principles, which are represented in the model formulation through standard algebraic equations. The capabilities of our approach are illustrated through a case study of a petrochemical supply chain. We show that the stochastic solution improves the economic performance of the SC in comparison with the deterministic one at any level of the environmental impact, and moreover the correlation among environmental burdens provides more realistic scenarios for the decision making process.

Using causal maps to support ex-post assessment of social impacts of dams

This paper presents the results of an ex-post assessment of two important dams in Brazil. The study follows the principles of Social Impact Management, which offer a suitable framework for analyzing the complex social transformations triggered by hydroelectric dams. In the implementation of this approach, participative causal maps were used to identify the ex-post social impacts of the Porto Primavera and Rosana dams on the community of Porto Rico, located along the High Paraná River. We found that in the operation of dams there are intermediate causes of a political nature, stemming from decisions based on values and interests not determined by neutral, exclusively technical reasons; and this insight opens up an area of action for managing the negative impacts of dams.

Large scale optimization of a sour water stripping plant using surrogate models

In this work, we propose a new methodology for the large scale optimization and process integration of complex chemical processes that have been simulated using modular chemical process simulators. Units with significant numerical noise or large CPU times are substituted by surrogate models based on Kriging interpolation. Using a degree of freedom analysis, some of those units can be aggregated into a single unit to reduce the complexity of the resulting model. As a result, we solve a hybrid simulation-optimization model formed by units in the original flowsheet, Kriging models, and explicit equations. We present a case study of the optimization of a sour water stripping plant in which we simultaneously consider economics, heat integration and environmental impact using the ReCiPe indicator, which incorporates the recent advances made in Life Cycle Assessment (LCA). The optimization strategy guarantees the convergence to a local optimum inside the tolerance of the numerical noise.

Projeto – sustentabilidade e matemática

A disciplina matemática e o tema sustentabilidade podem ser muito bem trabalhados pelos docentes da área de exatas. Pois, saber quantificar, calcular e associar o consumo e o impacto ambiental através de dados numéricos é uma possibilidade que pode ser desenvolvida em sala de aula. Saber interpretar e construir gráficos de colunas são outras competências e habilidades presentes na ciência da matemática. Compreender conceitos, estratégias e situações matemáticas numéricas para aplicá-los a situações diversas no contexto das ciências, da tecnologia e da atividade cotidiana se faz necessário. E também, reconhecer, pela leitura de textos apropriados, a importância da Matemática na elaboração de proposta de intervenção solidária na realidade. Dessa forma, conhecer o ambiente em que vivemos, verificar a influência do homem na Natureza e quais ações deverão ser tomadas pensando nas futuras gerações é um despertar para o consumo consciente. O que acarreta como possibilidade o retorno à natureza de recursos utilizados de maneira correta. Conhecer uma conta de luz detalhada, aprender a calcular o consumo mensal de Kwh e diminuir o consumo de energia elétrica através da mudança de hábitos são exemplos cotidianos em que a matemática se faz presente. Relacionar a matemática ao estudo do meio ambiente proporciona através dos números mensurar os prejuízos e projetar soluções, torna a aprendizagem construtiva, podendo se constituir num comportamento cotidiano ou numa ação educativa para formar uma consciência ecológica dentro de indicadores reais. A aprendizagem se torna significativa quando relacionada ao cotidiano do aluno no sentido de mostrar o meio ambiente a que estão inseridos para que possam ser agentes transformadores, através da mudança de hábitos e principalmente desenvolvendo suas habilidades matemáticas. Sendo assim, o processo de ensino aprendizagem matemática-meio ambiente é realizado no sentido de oportunizar o conhecimento do mundo e domínio da natureza, com base nas linguagens matemáticas, criando-se condições de melhorar a capacidade de agir na sociedade, assumindo ações permanentes concentradas em um desenvolvimento sustentável para a continuidade da vida na Terra. Nesse diapasão, é possível desenvolver trabalhos pedagógicos “na trilha da matemática: do raciocínio ao meio-ambiente”. A resolução de situações problemas e assuntos referentes ao meio ambiente fazem com que os alunos tomem os cuidados necessários para com o meio ambiente, aos recursos por ele oferecidos e as consequências das ações errôneas causadas pelo homem.

Bioindicators as metrics for environmental monitoring of desalination plant discharges

Development of desalination projects requires simple methodologies and tools for cost-effective and environmentally-sensitive management. Sentinel taxa and biotic indices are easily interpreted in the perspective of environment management. Echinoderms are potential sentinel taxon to gauge the impact produced by brine discharge and the BOPA index is considered an effective tool for monitoring different types of impact. Salinity increase due to desalination brine discharge was evaluated in terms of these two indicators. They reflected the environmental impact and recovery after implementation of a mitigation measure. Echinoderms disappeared at the station closest to the discharge during the years with highest salinity and then recovered their abundance after installation of a diffuser reduced the salinity increase. In the same period, BOPA responded due to the decrease in sensitive amphipods and the increase in tolerant polychaete families when salinities rose. Although salinity changes explained most of the observed variability in both indicators, other abiotic parameters were also significant in explaining this variability.