Assessing water quality in rivers with fuzzy inference systems: a case study

In recent years, fuzzy-logic-based methods have demonstrated to be appropriated to address uncertainty and subjectivity in environmental problems. In the present study, a methodology based on fuzzy inference systems (FIS) to assess water quality is proposed. A water quality index calculated with fuzzy reasoning has been developed. The relative importance of water quality indicators involved in the fuzzy inference process has been dealt with a multi-attribute decision-aiding method. The potential application of the fuzzy index has been tested with a case study. A data set collected from the Ebro River (Spain) by two different environmental protection agencies has been used. The current findings, managed within a geographic information system, clearly agree with official reports and expert opinions about the pollution problems in the studied area. Therefore, this methodology emerges as a suitable and alternative tool to be used in developing effective water management plans.     

Evolution and reconstruction of settlement space in tourist islands: a case study of Dachangshan Island,Changhai County

Environment, Development and Sustainability - This study analyzes the evolution of the land use structure, demographic reconstruction, and social reconstruction of Dachangshan Island, Changhai...     

Assessing the vulnerability of rare plants using climate change velocity,habitat connectivity,and dispersal ability: a case study in Alberta,Canada

Climate change generally requires species to migrate northward or to higher elevation to maintain constant climate conditions, but migration requirement and migration capacity of individual species can vary greatly. Individual populations of species occupy different positions in the landscape that determine their required range shift to maintain similar climate, and likewise the migration capacity depends on habitat connectivity. Here, we demonstrate an approach to quantifying species vulnerabilities to climate change for 419 rare vascular plants in Alberta, Canada, based on a multivariate velocity of climate change metric, local habitat fragmentation, and migration capacity. Climate change velocities indicated that future migration requirements ranged from 1 to 5 km/year in topographically complex landscapes, such as the Alberta Foothills and Rocky Mountains. In contrast, migration requirements to maintain constant climate in relatively flat Boreal Plains, Parkland, and Grassland ranged from 4 to 8 km/year. Habitat fragmentation was also highest in these flat regions, particularly the Parkland Natural Region. Of the 419 rare vascular plants assessed, 36 were globally threatened (G1–G3 ranking). Three globally threatened species were ranked as extremely vulnerable and five species as highly vulnerable to the interactions among climate change velocity, habitat fragmentation, and migration capacity. Incorporating dispersal characteristics and habitat fragmentation with local patterns in climate change velocity improves the assessment of climate change threats to species and may be applied to guide monitoring efforts or conservation actions.     

Divergence of the sustaining and marginalizing communities in the process of rural aging: a case study of Yurihonjo-shi, Akita, Japan

This study examines the marginalization process of rural communities, which is caused by the decline of community-based autonomy and various activities in relation to the decline and aging of their populations, based on the frameworks that describe the process in three stages. A field survey was conducted in five rural communities in Yurihonjo-shi in Akita Prefecture, Japan. These communities were selected based on their locations, population decline and aging rates, and population sizes and were categorized into two groups, the remote and the central communities. This survey was composed of two sections: (1) a questionnaire-based survey to households and (2) an interview survey with the chairperson of each community. In order to capture the multidimensionality of residents’ daily lives, sustainable development indicators, which are originally designed to capture the well-being of nations, were utilized to develop the questionnaire. The results demonstrated significant differences between the two groups of communities mainly on four aspects: (1) farming type, (2) visits and roles of out-migrated family, (3) self-evaluation of living conditions, and (4) residents’ future concerns. These findings suggest the current state of the remote community can be seen as that of the “marginalizing” community, for which a welfare-based approach is recommended to secure the living conditions of the residents. On the other hand, the current state of the central community is considered as that of the “sustaining” community for which a revitalization approach is recommended in order to rejuvenate the diminishing community functions.     

Assessing the sustainability of agriculture: a case of Mae Chaem Catchment, northern Thailand.

Sustainability is not a new concept but rather a prominent concept at the present time. Researchers have categorized sustainability indicators into economic, social, and ecological aspects. Sustainability of agriculture in the context of development efforts has to meet production efficiency, resilience of ecosystems, appropriate technology, maintenance of the environment, cultural diversity, and satisfaction of the basic needs. The research objective of this study is to determine the critical indicators of agricultural sustainability in the Mae Chaem Catchment, northern Thailand. In assessing sustainability, the authors applied the sustainability indicator analysis developed by FAO. The results of the study show that food sufficiency in the Wat Chan subcatchment is the most sustainable aspect of agriculture. The least sustainable facets of agriculture in the Wat Chan subcatchment are land holding size, land tenure, and water shortage. While expansion of agricultural land in the watershed area is not legally permitted, a practice of agroforestry is recommended. Insecure land tenure may result in reduced incentives to improve land productivity. Thus, official recognition of land ownership is required. As the problem of water shortage is most critical in the lower reaches, increased participation in the allocation scheme by downstream villagers should be encouraged. Finally, the construction of a small-scale water storage in the lower part of the catchment to increase water supply should be considered.     

Developing joint educational programs in sustainability science across different universities: a case study from Japan

The challenge for sustainability educational programs lies in how to imbue students with the strong motivation necessary to move the world in a more sustainable direction. Five universities in Japan have mutually collaborated in the design and development of a unique curriculum and education system for sustainability science since 2008. Specifically, they have developed a common and remote lecture system called the “Frontier of sustainability science” (FSS). This paper discusses the concepts and challenges of FSS and how it was organized to teach students to actively learn how to work with people of various disciplines to realize interdisciplinarity.     

Study on Assessing Economic Vulnerability of Small Island Regions

The main purpose of this study is to assess economic vulnerability of small island development regions as part of their sustainability constraints. By combining economic and environmental time series data, we assessed a composite index of economic vulnerability which is constructed from three exogenous variables, namely economic exposure, economic remoteness, and economic impact of environmental and natural disasters. We used the Amami Islands, Kagoshima Prefecture, Japan as the case studies for this paper.The results indicated that using a gross island products based valuation index, Kikaijima is the most vulnerable island in the Amami Islands with a composite economic vulnerability index (CEVI) value of 0.678, while by using a per capita based index, Okinoerabujima is considered the most vulnerable island with a CEVI value of 0.680. From the results we also revealed that smaller islands have relative higher vulnerability than the bigger one, which also confirms some previous country-level vulnerability studies.However, it is matter of fact that some islands that have relatively high vulnerability also have good economic performance as shown by their per capita income. In this regard, it can be argued that the success of these small islands could have been achieved in spite of and not because of their inherent vulnerability conditions as an indicator of sustainability constraint. Regarding these findings, we also examined a comparison between vulnerability results and the preliminary concept of an island's resilience in order to capture another perspective on sustainability assessment in a small island region.     

Building a freshman-year foundation for sustainability studies: Terrascope, a case study

Terrascope is a freshman learning community at the Massachusetts Institute of Technology (MIT) in which teams of students work to find solutions to large ‘unsolvable’ problems and to communicate about those problems with a wide variety of audiences in multiple formats. The program strongly promotes students’ autonomy in focusing and structuring their work, and student projects culminate in public presentations, both to general audiences and to panels of technical specialists. Students who have completed the program tend to show strong engagement with environmental and sustainability issues, as well as the skills and experience to work intensively on such issues within multidisciplinary teams. Here, we present the program as a case study, with some discussion of the factors that are key to its operation.

Flora biodiversity change detection: a case study

Changes in flora biodiversity are a dilemma facing managers in order to cope with challenges of extinction or endangering plant species as well as replacement by invasive species. Such problems can occur in the region as disruption of ecosystem balance. The first step of proper management of a watershed is obtaining accurate information about plant communities and their dominance and biodiversity status. Such information will help decision makers to adopt an appropriate management approach. Accordingly, the current study was conducted to detect various types of plant species in Zanjanrood Watershed. For this porous, quadrate and transect methods were applied to determine available plant species in the region. Afterwards, Shannon and Simpson’s Reciprocal indices were used to specify the biodiversity status of the identified communities. The calculation results revealed 3.19 and 5.98 for Shannon and Simpson’s Reciprocal indices, respectively. As the results suggested, there has been a downward trend in biodiversity status over the last 20 years. Such a deteriorating condition has been accelerated rise in recent years so that the non-palatable species are rapidly replaced by the palatable ones due to uncontrolled overgrazing of livestock. If management is not based on principles of sustainability in the region, the watershed will experience an extreme poverty of land cover. The findings would be so helpful to achieve an appropriate strategy in order to conserve the biodiversity in a sustainable manner.     

Sustaining livelihoods in face of groundwater depletion: a case study of Punjab, India

The study focuses on assessing the sustainable livelihoods of farmers in Indian Punjab focusing on the key aspects of cropping pattern, cost of cultivation, agricultural productivity and profitability amongst different classes of farmers at different levels of groundwater depletion. It further gives a comparative analysis of the proportionate gains the farmers avail from the government subsidies of electricity and procurement price and relates it to their coping mechanisms to sustain agriculture in future. The findings indicate to the fact that technology to extract groundwater, being capital intensive, gives greater accessibility to groundwater to large farmers who gain enormously from growing the remunerative but water-intensive rice crop. Electricity subsidy being not targeted is also misappropriated by the resource rich, water extraction machine owners. To cope with this resource depletion, the large farmers dig and deepen more tube-wells and the small and marginal farmers with little savings who are unable to invest in costly water extraction machines, buy water, shift to less profitable maize crop, lease out or sell their land.     

Drought-induced resettlement: a case study from Burkina Faso

As a result of the '16-year drought' that Burkina Faso experienced from the late 1970s to the mid-1980s, there has been significant movement of people from the north of the country to the south. The large numbers of people that were displaced as a result of this natural disaster put pressure on the production systems of the south and caused concern amongst development organisations that environmental degradation would follow. Through a 2-year research period, using participatory approaches, it was found that despite a doubling of the population and the introduction of foreign production systems, the process of communal land control has significantly limited environmental degradation. This paper explains how customary law has controlled the settlement of immigrants (the Mossi and Fulani) and how it has overseen land allocation in three villages. The conclusions of the study indicate that, firstly, the customary law mechanisms in the three villages are effective in addressing communal resource use and, secondly, there is an evolution in customary law systems as they respond to local change. Received: 24 February 1999 · Accepted: 15 May 1999     

Cleaner production: a case study of Kaveh paper mill

The pulp and paper industry is under increasing pressure to reduce its energy consumption and impact on the environment. The ‘Cleaner Production’ (CP) approach has been widely utilised as a tool to meet environmental concerns by industry. However, because of the high initial capital cost of CP implementation, it is important to develop a model for prioritisation. In this paper, using analytic hierarchy process methodology, a tree-level hierarchy model was structured to facilitate the prioritisation process in the Kaveh Papermaking Company located in Iran. Using a literature review and field study, the proposed model can provide a framework for CP implementation in a paper factory. The results show that process change gives higher priority between 5 criteria and that repair of all leaks in the paper-making process gives higher priority between 35 sub-criteria. Process change was further evaluated and discussed in which input material changes gained higher priority. The results of this research can be used to accelerate the implementation of CP in Iran's pulp and paper industry.     

Regional carbon footprints of households: a German case study

Households are either directly or indirectly responsible for the highest share of global anthropogenic greenhouse gas emissions. Hence, programs helping to improve human consumption habits have been identified as a comparatively cost-effective way to reduce household emissions significantly. Recently, various studies have determined strong regional differences in household carbon footprints, yet a case study for Germany has not been conducted. Local information and policies directed at household consumption in Germany thus devoid of any foundation. In this paper, we analyze the impact of different criteria such as location, income and size on household carbon footprints in Germany and demonstrate how the impact of GHG mitigation opportunities varies for different population segments. We use a multi-region input output hybrid LCA approach to developing a regionalized household carbon footprint calculator for Germany that considers 16 sub-national regions, 15 different household sizes, and eight different income and age categories. The model reveals substantial regional differences in magnitude and composition of household carbon footprints, essentially influenced by two criteria: income and size. The highest income household is found to emit 4.25 times as much CO₂e than the lowest. We identify indirect emissions from consumption as the largest share of household carbon footprints, although this is subject to fluctuation based on household type. Due primarily to local differences in vehicle availability, income and nutrition, an average household in Baden-Wuerttemberg is found to have 25 % higher carbon footprint than its Mecklenburg-West Pomeranian counterpart. Based on the results of this study, we discuss policy options for household carbon mitigation in Germany.     

A biomonitoring plan for assessing potential radionuclide exposure using Amchitka Island in the Aleutian chain of Alaska as a case study

With the ending of the Cold War, the US and other nations were faced with a legacy of nuclear wastes. For some sites where hazardous nuclear wastes will remain in place, methods must be developed to protect human health and the environment. Biomonitoring is one method of assessing the status and trends of potential radionuclide exposure from nuclear waste sites, and of providing the public with early warning of any potential harmful exposure. Amchitka Island (51 degrees N lat, 179 degrees E long) was the site of three underground nuclear tests from 1965 to 1971. Following a substantive study of radionuclide levels in biota from the marine environment around Amchitka and a reference site, we developed a suite of bioindicators (with suggested isotopes) that can serve as a model for other sites contaminated with radionuclides. Although the species selection was site-specific, the methods can provide a framework for other sites. We selected bioindicators using five criteria: (1) occurrence at all three test shots (and reference site), (2) receptor groups (subsistence foods, commercial species, and food chain nodes), (3) species groups (plants, invertebrates, fish, and birds), (4) trophic levels, and (5) an accumulator of one or several radionuclides. Our major objective was to identify bioindicators that could serve for both human health and the ecosystem, and were abundant enough to collect adjacent to the three test sites and at the reference site. Site-specific information on both biota availability and isotope levels was essential in the final selection of bioindicators. Actinides bioaccumulated in algae and invertebrates, while radiocesium accumulated in higher trophic level birds and fish. Thus, unlike biomonitoring schemes developed for heavy metals or other contaminants, top-level predators are not sufficient to evaluate potential radionuclide exposure at Amchitka. The process described in this paper resulted in the selection of Fucus, Alaria fistulosa, blue mussel (Mytilus trossulus), dolly varden (Salvelinus malma), black rockfish (Sebastes melanops), Pacific cod (Gadus macrocephalus), Pacific halibut (Hippoglossus stenolepis), and glaucous-winged gull (Larus glaucescens) as bioindicators. This combination of species included mainly subsistence foods, commercial fish, and nodes on different food chains.     

Food self-sufficiency of tourist attraction site: a case study of Phang Nga Province,Thailand

Environment, Development and Sustainability - This research proposes “food self-sufficiency of tourism site” as an applicable measure of sustainability. However, empirical evidence...     

Influencing factors on sustainable development: a case study in Quang Tri province,Vietnam

Background Sustainable development (SD) is a common concept. Knowledge and attitudes are essential in the SD process. This study assesses the knowledge, attitudes, and practices (KAP) of local people about SD. Aim To study the factors that influence the understanding of the concept, contents, and indicators of different aspects affecting the health and environmental issues. Methods A cross-sectional study was carried out from June to July 2007 among 546 households in the Quang Tri province. Data were gathered on basis of socio-demographic variables, namely age, gender, education, occupation, income, and region. Chi square tests and multivariate analysis were performed on the obtained data. The data were cleaned and analysed using SPSS 15.0 for windows. Results Occupation is related to knowledge, attitude, or practice. Income is related to knowledge or practice. Gender related to only attitude. Lastly, region is related to attitude or practice. The proportion of wrong understanding about SD is 2.0 times (95% CI: 1.3; 3.1, p < 0.001) higher than that of the people who have good understanding about it. The rate of willingness to do any related SD programmes of the people who understanding is 2.1 times (95% CI: 1.4; 3.2, p < 0.001) higher than that of the people who have bad one. Conclusions This study shows that knowledge on sustainability of the local communities is low. Occupation and income influence understanding of SD more than region, age, gender, and education. Most of the local people who do not understand SD in general, do not want to participate or act in SD programmes.     

Causation in risk assessment and management: models, inference, biases, and a microbial risk-benefit case study

Causal inference of exposure-response relations from data is a challenging aspect of risk assessment with important implications for public and private risk management. Such inference, which is fundamentally empirical and based on exposure (or dose)-response models, seldom arises from a single set of data; rather, it requires integrating heterogeneous information from diverse sources and disciplines including epidemiology, toxicology, and cell and molecular biology. The causal aspects we discuss focus on these three aspects: drawing sound inferences about causal relations from one or more observational studies; addressing and resolving biases that can affect a single multivariate empirical exposure-response study; and applying the results from these considerations to the microbiological risk management of human health risks and benefits of a ban on antibiotic use in animals, in the context of banning enrofloxacin or macrolides, antibiotics used against bacterial illnesses in poultry, and the effects of such bans on changing the risk of human food-borne campylobacteriosis infections. The purposes of this paper are to describe novel causal methods for assessing empirical causation and inference; exemplify how to deal with biases that routinely arise in multivariate exposure- or dose-response modeling; and provide a simplified discussion of a case study of causal inference using microbial risk analysis as an example. The case study supports the conclusion that the human health benefits from a ban are unlikely to be greater than the excess human health risks that it could create, even when accounting for uncertainty. We conclude that quantitative causal analysis of risks is a preferable to qualitative assessments because it does not involve unjustified loss of information and is sound under the inferential use of risk results by management.     

Decommissioning a phosphoric acid production plant: a radiological protection case study

During a preliminary survey at the area of an abandoned fertilizer plant, increased levels of radioactivity were measured at places, buildings, constructions and materials. The extent of the contamination was determined and the affected areas were characterized as controlled areas. After the quantitative and qualitative determination of the contaminated materials, the decontamination was planned and performed step by step: the contaminated materials were categorized according to their physical characteristics (scrap metals, plastic pipes, scales and residues, building materials, etc) and according to their level of radioactivity. Depending on the material type, different decontamination and disposal options were proposed; the most appropriate technique was chosen taking into account apart from technical issues, the legal framework, radiation protection issues, the opinion of the local authorities involved as well as the owner’s wish. After taking away the biggest amount of the contaminated materials, an iterative process consisting of surveys and decontamination actions was performed in order to remove the residual traces of contamination from the area. During the final survey, no residual surface contamination was detected; some sparsely distributed low level contaminated materials deeply immersed into the soil were found and removed.