Methodology to design a municipal solid waste generation and composition map: A case study

The municipal solid waste (MSW) management is an important task that local governments as well as private companies must take into account to protect human health, the environment and to preserve natural resources. To design an adequate MSW management plan the first step consist in defining the waste generation and composition patterns of the town. As these patterns depend on several socio-economic factors it is advisable to organize them previously. Moreover, the waste generation and composition patterns may vary around the town and over the time. Generally, the data are not homogeneous around the city as the number of inhabitants is not constant nor it is the economic activity. Therefore, if all the information is showed in thematic maps, the final waste management decisions can be made more efficiently. The main aim of this paper is to present a structured methodology that allows local authorities or private companies who deal with MSW to design its own MSW management plan depending on the available data. According to these data, this paper proposes two ways of action: a direct way when detailed data are available and an indirect way when there is a lack of data and it is necessary to take into account bibliographic data. In any case, the amount of information needed is considerable. This paper combines the planning methodology with the Geographic Information Systems to present the final results in thematic maps that make easier to interpret them. The proposed methodology is a previous useful tool to organize the MSW collection routes including the selective collection. To verify the methodology it has been successfully applied to a Spanish town.     

PLA and Montmorilonite Nanocomposites: Properties, Biodegradation and Potential Toxicity

The concern related to solid waste increases efforts to develop products based on biodegradable materials. At present, PLA has one of the highest potentials among biopolyesters, particularly for packaging. However, its application is limited in some fields. In order to optimize PLA properties, organo-modified montmorilonites have been extensively used to obtain nanocomposites. Although PLA nanocomposites studies are widely reported in the literature, there is still few information about the influence of organoclays on de biodegradation process, which is a relevant information, since one of the main purposals related to the final disposal of biopolymers as PLA is composting. Besides, in the last years some research has been conducted in order to evaluate the potential toxicity of montmorilonite, unmodified or organo-modified. Since the use of montmorilonite is expanding in different applications, human exposure and risk assessment are important issues to be investigated. In this context, this review intends to compile available information related to common organoclays used for PLA nanocomposites, its properties, biodegradation analysis and potential toxicity evaluation of nanocomposites, focused on montmorilonite as filler. Two issues of relevance were pointed out. The first is food safety and quality, and the second consideration is the environmental effect.     

Optimal solid waste collection routes identified by the ant colony system algorithm.

In the present paper, the Ant Colony System (ACS) algorithm is used for the identification of optimal routes in the case of municipal solid waste (MSW) collection. The proposed MSW management system is based on a geo-referenced spatial database supported by a geographic information system (GIS). The GIS takes into account all the required parameters for solid waste collection. These parameters include static and dynamic data, such as the positions of waste bins, the road network and the related traffic, as well as the population density in the area under study. In addition, waste collection schedules, truck capacities and their characteristics are also taken into consideration. Spatio-temporal statistical analysis is used to estimate inter-relations between dynamic factors, like network traffic changes in residential and commercial areas. The user, in the proposed system, is able to define or modify all of the required dynamic factors for the creation of alternative initial scenarios. The objective of the system is to identify the most cost-effective scenario for waste collection, to estimate its running cost and to simulate its application. Finally, the results of the ACS algorithm are compared with the empirical method currently used by the Municipality of Athens.     

Early detection and evaluation of waste through sensorized containers for a collection monitoring application

The present study describes a novel application for use in the monitoring of municipal solid waste, based on distributed sensor technology and geographical information systems. Original field testing and evaluation of the application were carried out in Pudong, Shanghai (PR China).The local waste management system in Pudong features particular requirements related to the rapidly increasing rate of waste production. In view of the fact that collected waste is currently deployed to landfills or to incineration plants within the context investigated, the key aspects to be taken into account in waste collection procedures include monitoring of the overall amount of waste produced, quantitative measurement of the waste present at each collection point and identification of classes of material present in the collected waste. The case study described herein focuses particularly on the above mentioned aspects, proposing the implementation of a network of sensorized waste containers linked to a data management system.Containers used were equipped with a set of sensors mounted onto standard waste bins. The design, implementation and validation procedures applied are subsequently described. The main aim to be achieved by data collection and evaluation was to provide for feasibility analysis of the final device. Data pertaining to the content of waste containers, sampled and processed by means of devices validated on two purpose-designed prototypes, were therefore uploaded to a central monitoring server using GPRS connection. The data monitoring and management modules are integrated into an existing application used by local municipal authorities.A field test campaign was performed in the Pudong area. The system was evaluated in terms of real data flow from the network nodes (containers) as well as in terms of optimization functions, such as collection vehicle routing and scheduling. The most important outcomes obtained were related to calculations of waste weight and volume. The latter data were subsequently used as parameters for the routing optimization of collection trucks and material density evaluation.     

An analysis of a European hazardous waste transport registration system (EARS)

In this study a system analysis is presented for a European registration system for hazardous waste shipment notifications. The administrative procedures for the notifications according to the European Community (EC) directives are in use in several Member States, among others the Netherlands and Belgium. The new system should enable efficient notification procedures, without the large number of forms and the delays in obtaining transit and import permissions that are currently observed. Only one form is needed for each hazardous waste transport within the EC, accompanying the transport.The system also allows the generation of compiled information for all EC Member States by using a database structure. Rather than manually administrating the information of the forms, this information is transmitted and stored electronically. With an estimated number of 100,000 transfrontier transports of hazardous waste per year in the European Community, this greatly decreases time and costs for aggregating hazardous waste transport data. This aggregated information is necessary for the implementation, evaluation and further development of a coherent EC waste management policy for hazardous waste treatment and disposal.     

Integrating multi-criteria decision analysis for a GIS-based hazardous waste landfill sitting in Kurdistan Province, western Iran

The evaluation of a hazardous waste disposal site is a complicated process because it requires data from diverse social and environmental fields. These data often involve processing of a significant amount of spatial information which can be used by GIS as an important tool for land use suitability analysis. This paper presents a multi-criteria decision analysis alongside with a geospatial analysis for the selection of hazardous waste landfill sites in Kurdistan Province, western Iran. The study employs a two-stage analysis to provide a spatial decision support system for hazardous waste management in a typically under developed region. The purpose of GIS was to perform an initial screening process to eliminate unsuitable land followed by utilization of a multi-criteria decision analysis (MCDA) to identify the most suitable sites using the information provided by the regional experts with reference to new chosen criteria. Using 21 exclusionary criteria, as input layers, masked maps were prepared. Creating various intermediate or analysis map layers a final overlay map was obtained representing areas for hazardous waste landfill sites. In order to evaluate different landfill sites produced by the overlaying a landfill suitability index system was developed representing cumulative effects of relative importance (weights) and suitability values of 14 non-exclusionary criteria including several criteria resulting from field observation. Using this suitability index 15 different sites were visited and based on the numerical evaluation provided by MCDA most suitable sites were determined.     

Scrutinizing compost properties and their impact on methane oxidation efficiency

Methane emissions from active or closed landfills can be reduced by means of microbial methane oxidation enhanced by properly designed landfill covers and engineered biocovers. Composts produced using different waste materials have already been proven to support methane oxidation, and may represent a low-cost alternative to other suitable substrates such as sandy or humic-rich soils, which are frequently not available in sufficient amounts or are too costly. In the present study a data set of 30 different compost materials (different age and input materials) and mixtures, as well as seven soils and mineral substrates were tested to assess methane oxidation rate under similar conditions in a laboratory column set-up. Multivariate data analysis (discriminant analysis) was applied to predict the influence of 21 different parameters (chemical, maturation and physical) on methane oxidation rate in a PLS-DA model. The results show that bulk density, total nutrient content (nitrogen and phosphorus), as well as the quantity and quality (with respect to maturity) of organic matter determined methane oxidation rate in this data set. The model explained 50% of the data variation, indicating how characterisation of oxidation rate by single, even diverse conventional parameters was limited. Thus for the first time, Fourier Transform Infrared (FTIR) spectroscopy was applied to a series of samples to better determine the characteristics of methane-oxidising materials. The initial data obtained in this study appear to be most promising. The prediction of specific methane oxidation rate of a potential biocover material from FTIR spectra and multivariate data analyses is a target to be focused on in the future.     

Software analyser design using data mining technology for toxicity prediction of aqueous effluents

Database and information technology has been widely used in process industries to manage data related to environmental performance. However, apart from being collected and archived for subsequent retrieval, the data has not been effectively exploited for improving environmental performance. In this paper we report our work on application of data mining and knowledge discovery technology to the analysis of a database of aqueous effluents from an organic manufacturing plant. The focus is on developing a software analyser for Microtox prediction. However, this methodology is applicable to any ecotoxicity measurement and will therefore offer a means of minimising difficult and tedious testing. Principal component analysis is used to pre-process the data for removing noise and reducing dimensionality. Automatic clustering is employed to group the multidimensional data into classes, and from each class training and testing data sets are selected for developing a back-propagation neural network to predict Microtox. The result shows that the software analyser is able to give satisfactory predictions for both training and test data. The errors for all the training and testing data are shown to satisfy a normal distribution. The software analyser is further used to carry out sensitivity studies in order to identify compounds responsible for observed toxicity value, based on which improved process operational strategies can be developed. Several approaches are investigated, including correlation coefficient analysis, sensitivity study based on differential analysis, one variable deletion, fuzzy curve approach and combination of the above with principal component analysis.     

Noncombustion technologies for remediation of persistent organic pollutants in stockpiles and soil

Persistent organic pollutants (POPs) are a set of chemicals that are toxic, persist in the environment for long periods of time, and biomagnify as they move up through the food chain. Combustion technologies have been the principal technology used to destroy POPs. However, combustion technologies can create polychlorinated dibenzo‐p‐dioxins and polychlorinated dibenzo‐p‐furans, which are human carcinogens. Two organizations, the United Nations Environment Programme (UNEP) and the International HCH and Pesticides Association (IHPA) have developed detailed reports and fact sheets about noncombustion technologies for POP treatment. This article is intended to update and summarize these reports in a concise reader's guide, with links to sources of further information. The updated information was obtained by reviewing various Web sites and documents, and by contacting technology vendors and experts in the field. © 2006 Wiley Periodicals, Inc.     

Source Analysis and Hazard Screening of Xenobiotic Organic Compounds in Wastewater from Food-Processing Industries

In this study we present and apply a methodology for identifying environmentally hazardous compounds in food industry wastewaters (FIW). The methodology comprises a source analysis and a hazard screening of xenobiotic organic compounds based on environmental distribution, persistence, bioaccumulation, and toxicity in aqueous and solid phases. This approach was applied to four selected FIW representing fish, pork meat, and vegetable production. Included in this approach was an analytical–chemical screening of 137 xenobiotic organic compounds showing that 13 compounds and groups of compounds could be detected in the FIW composite samples. The combined source analysis revealed that 161 xenobiotic organic compounds could potentially be present in these four FIW. The main sources were raw materials and their processing, but also packaging and cleaning of the production facility contributed to the total number of compounds potentially present. Using the hazard screening procedure it was found that 29 and 102 compounds should be considered for further hazard assessment in the aqueous and solid phases, respectively. It is important to note that 12% of the 161 compounds could not be evaluated for environmental hazards due to lack of inherent data on degradability, toxicity, and bioaccumulation. Furthermore, for 91% of the compounds no information was found on anaerobic biodegradability. The presented procedure contributes with a systematic source analysis and a ranking of the xenobiotic organic compounds that could cause environmental concern. In this way the procedure can provide guidance to operators and decision makers on handling options for wastewater streams in food processing industries.     

输变电工程电磁场引起公众风险感受调查分析

为了解和掌握输变电工程运行产生电磁场引起公众风险感受的心理状态,以制定出合理的策略来缓解和降低这种恐慌情绪,采用社会心理学的调查研究方法,在开展对公众定性访谈的基础上,归纳总结获取的信息、设计问卷,以实现对更大范围的公众进行风险感受相关信息的调查与统计。数据分析表明,公众对电磁场原理及相关信息的不了解,是使得这一风险事件具有群体性特征,进而导致其蔓延和激化的主要原因,建议在制定宣传策略的同时,加强对输变电工程相关信息公平、公正、公开的管理,以营造和谐与信任的沟通氛围。     

Scaling and Mapping Regional Calculations of Soil Chemical Weathering Rates in Sweden

Weathering rates of base cations are crucial in critical load calculations and assessments of sustainable forestry. The weathering rate on a single site with detailed geological data can be modelled using the PROFILE model. For environmental assessments on a regional scale, the weathering rates for sites are scaled into regional maps. The step from sites to regional level requires focus on the spatial variation of weathering rates. In this paper, a method is presented by which weathering rates are calculated for 25589 Swedish sites with total elemental analysis for the soil. Based on a part of the results, a methodology for creating area covering maps by geostatistical analysis and kriging is described. A normative reconstruction model was used to transform total elemental analysis to mineralogy. Information from the Swedish Forest Inventory database and other databases were used to derive texture and other important information for the sites, e.g. climate, deposition and vegetation data. The calculated weathering rates show a regional pattern that indicates possibilities for interpolation of data in large parts of Sweden. Geostatistical analysis of an area in southern Sweden shows different properties for different base cations. Kriging was performed for potassium to demonstrate the method. It was concluded that different base cations and different regions have to be analysed separately, in order to optimise the kriging method.     

Combining AHP with GIS for landfill site selection: A case study in the Lake Beyşehir catchment area (Konya,Turkey)

Landfills are the most common method for the disposal of municipal solid waste (MSW) in Turkey. However, determining the location of landfill sites is a difficult and complex process because it must combine social, environmental and technical parameters. Additionally, it depends on several criteria and regulations. The main objective of this study was to select of a landfill site for the Lake Bey?ehir catchment area. The Bey?ehir Lake is the largest freshwater lake and drinking water reservoir in Turkey, but there is no controlled landfill site in the region. Therefore, the landfill site should be determined such that the lake is protected. To determine the most suitable landfill site, an analytical hierarchy process (AHP) was combined with a geographic information system (GIS) to examine several criteria, such as geology/hydrogeology, land use, slope, height, aspect and distance from settlements, surface waters, roads, and protected areas (ecologic, scientific or historic). Each criterion was evaluated with the aid of AHP and mapped by GIS. Data were assorted into four suitability classes within the study area, i.e., high, moderate, low and very low suitability areas, which represented 3.24%, 7.55%, 12.70% and 2.81%, of the study area, respectively. Additionally, 73.70% was determined to be completely unsuitable for a landfill site. As a result, two candidate landfill sites are suggested and discussed. The final decision for landfill site selection will require more detailed field studies.     

Potential for bioremediation of the perchlorate‐contaminated sediments in the Las Vegas Wash area,Henderson, Nevada

This study investigates the potential for perchlorate biodegradation in the sediments of the Las Vegas Wash area in Henderson, Nevada. The continuous transport of perchlorate from a contaminated seepage to the Las Vegas Wash, Lake Mead, and the Colorado River has resulted in considerable deposition of perchlorate along the sediments of the Las Vegas Wash. The contaminated sediments act as a distributed source of perchlorate, making efforts to stop the flow of perchlorate to the Colorado River very challenging. In this study, perchlorate‐ reducing bacteria were enumerated and microcosm tests were performed to investigate the role of indigenous microorganisms and the limitations to natural perchlorate biodegradation in the contaminated sediments. The results of microcosm tests revealed that, despite the high number of perchloratereducing bacteria present, natural perchlorate in the area appears to be limited by (1) high salinity levels, the presence of nitrate, and the low perchlorate concentrations present in the sediments and (2) an insufficient carbon source. However, the potential for in situ bioremediation of the sediments along the Wash area is considered to be high due to the presence of significant numbers of perchlorate‐ reducing bacteria and to the ease in which an additional carbon source could be provided to sustain nitrate and perchlorate biodegradation. The economics of this process are expected to be very favorable; however, detailed cost estimates, pilot‐scale testing, and permit applications are required before this concept can be applied. © 2005 Wiley Periodicals, Inc.     

Using plastic bag waste to assess the reliability of self-reported waste disposal data

Direct waste analysis (DWA) and the material flows approach are the two standard methods to quantify aggregated waste streams and analyze waste composition. Yet, with the increasing application of producer responsibility measures, product-based waste data rather than aggregated waste data are becoming important. It is over this requirement that both approaches fail to some extent in delivering the type and quality of information that is needed. This study uses plastic bag waste as an illustration to show how self-reported questionnaire survey data may be used to assess disposal quantities of product-based waste types. The estimates from a large-scale questionnaire survey with over 4,100 completed cases were verified against DWA data of the same year in Hong Kong. It was found that self-reported data give systematically lower figures (on the order of 1.3-5 times) than those obtained from standard methods such as DWA for Hong Kong and the UK. However, it is demonstrated that self-reported data can be internally consistent. Also, the magnitude of underestimation may not be as considerable as it appears since the data from DWA are not themselves entirely accurate owing to the difficulties in obtaining a pure load of waste for field analysis and the variable moisture contents or contamination levels in waste material.     

Report: New guidelines for characterization of municipal solid waste: the Portuguese case

This report proposes a new set of guidelines for the characterization of municipal solid waste. It is based on an analysis of reference methodologies, used internationally, and a case study of Valorsul (a company that handles recovery and treatment of solid waste in the North Lisbon Metropolitan Area). In particular, the suggested guidelines present a new definition of the waste to be analysed, change the sampling unit and establish statistical standards for the results obtained. In these new guidelines, the sampling level is the waste collection vehicle and contamination and moisture are taken into consideration. Finally, focus is on the quality of the resulting data, which is essential for comparability of data between countries. These new guidelines may also be applicable outside Portugal because the methodology includes, besides municipal mixed waste, separately collected fractions of municipal waste. They are a response to the need for information concerning Portugal (e.g. Eurostat or OECD inquiries) and follow European Union municipal solid waste management policies (e.g. packaging waste recovery and recycling targets and the reduction of biodegradable waste going to landfill).     

Development of Quantitative Methods For Spill Response Planning: A Trajectory Analysis Planner

In planning for response to oil spills, a great deal of information must be assimilated. Typically, geophysical flow patterns, ocean turbulence, complex chemical processes, ecological setting, fisheries activities, economics of land use, and engineering constraints on response equipment all need to be considered. This presents a formidable analysis problem. It can be shown, however, that if an appropriate set of evaluation data is available, an objective function and appropriate constraints can be formulated. From these equations, the response problem can be cast in terms of game theory or decision analysis and an optimal solution can be obtained using common scarce-resource allocation methods. The optimal solution obtained by this procedure maximizes the expected return over all possible implementations of a given set of response options. While considering the development of an optimal spill response, it is useful to consider whether (in the absence of complete data) implementing some subset of these methods is possible to provide relevant and useful information for the spill planning process, even though it may fall short of a statistically optimal solution. In this work we introduce a trajectory analysis planning (TAP) methodology that can provide a cohesive framework for integrating physical transport processes, environmental sensitivity of regional sites, and potential response options. This trajectory analysis planning methodology can be shown to implement a significant part of the game theory analysis and provide `minimum regret' strategy advice, without actually carrying out the optimization procedures.     

The maturing of the Triad approach: Avoiding misconceptions

Misunderstandings and misconceptions have arisen as the Triad approach has gained wider application. The Triad initiative's ability to catalyze second‐generation cleanup practices will be hampered if inaccurate or incomplete assumptions create persistent confusion about what Triad is or how it works. This article has been prepared by the multi‐agency workgroup responsible for articulating the Triad approach and coordinating national Triad efforts. It serves to address some misunderstandings about key Triad concepts. As an aid to those wishing to learn more, a new Web site (the Triad Resource Center, http://www.triadcentral.org) and a new Triad reference document from the Interstate Technology and Regulatory Council (ITRC) are introduced as sources of explanatory information supporting the Triad approach. © 2004 Wiley Periodicals, Inc.     

Significance of biogas production in waste tips

In a waste tip methane fermentation should be promoted as much as possible in order to minimize contamination of leachate and groundwater. In this paper the production of biogas is mathematically described as a first-order process. The degradable organic fraction of municipal refuse is subdivided into three fractions with different half-lifes (1, 5 and 15 years). If other categories of waste are present (e.g. industrial refuse or demolition waste) one should know the organic matter content per category and if possible some information on the degradability of the organic fractions. Field tests can also give information, e.g. the pressure lowering in and around an extraction well may be used to calculate the gas production rate and the radius of influence.Without recovery the gas escapes into the atmosphere and is (partly) oxidized by microbes in the soil cover. This may create anaerobic conditions in the soil cover causing injury to vegetation.     

Long-term Trends in Surface Water Quality of Five Lakes in Japan

Since 1983, the Ministry of the Environment of Japan has conducted nation-wide acid deposition surveys. To investigate the effects of acid deposition on surface water, we used the nonparametric Mann–Kendall test to find temporal trends in pH, alkalinity, and electrical conductivity (EC) in more than 10 years of data collected from five lakes and their catchments (Lake Kuttara: northernmost; Lake Kamakita: near Tokyo; Lake Ijira: central; Lake Banryu: western; and Lake Unagiike: southernmost). The pH of Lake Ijira water has declined slightly since the mid-1990s, corresponding with the downward trends seen in the pH and alkalinity of the river water flowing into the lake. There were significant upward trends in the EC of both the lake and stream water; the same trends were also found for concentrations. These trends show evidence of acidification due to atmospheric deposition, and this is the first such finding in Japan based on significant long-term trends. Lake Ijira is located about 40 km north of the Chukyo industrial area near Nagoya. The annual depositions of H⁺, nss-, and in Lake Ijira were among the highest of all deposition monitoring sites, suggesting that this is the main cause of the significant acidification observed in Lake Ijira. No significant trends suggesting acidification were observed in any of the other lake catchments in spite of the significant upward trends in EC. Upward trends in pH and alkalinity at Lake Banryu and upward trends in alkalinity at Lake Kamakita were detected, but no change in pH or alkalinity at Lake Kuttara and Lake Unagiike was observed.