Concentrations of greenhouse gases such as carbon dioxide (CO2), nitrous dioxide (N2O) and methane (CH4) in the atmosphere are rising continuously. The first step to reduce emissions from landfills is to gain better knowledge about the quantities emitted. There are several ways to quantify CH4 emissions at landfills. Comprehensive quality analyses of individual methods for emission rate quantification at landfills are few to date. In the present paper, the authors conducted two field trials with three different remote sensing methods to gain more knowledge about the possibilities and challenges in quantification of CH4 emissions from landfills. One release trial was conducted with released N2O as tracer and CH4 for quality assessment of the methods. In the second trial, the N2O tracer was released on a landfill to gain experience under field conditions. The well-established inverse dispersion modelling method (IDMM) was used based on concentration data of TDLAS (Tunable Diode Laser Absorption Spectroscopy)-instruments and on concentration data of a partly drone based Fourier-Transformation-Infrared-Spectroscopy (FTIR)-instrument. Additionally, a tracer-method with N2O-tracer and FTIR measurements was conducted. In both trials, IDMM based on TDLAS data and FTIR data provided the best results for high emission rates (15% deviation) and low emission rates (47% deviation). However, both methods have advantages, depending on the field of application. IDMM based on TDLAS measurements is the best choice for long-term measurements over several hours with constant wind conditions (8% deviation). The IDMM based on drone based FTIR measurements is the means of choice for measurements under changing wind conditions and where no linear measurement distances are possible.
Intensive livestock farming substantially impacts the environment, especially farm and slurry management. Slurries are significant sources of greenhouse gases and ammonia. The present study was conducted in an intensive livestock production system in Galicia, Spain. The measurements were taken at six different farms in that region along with one control using common management practices in Galicia without the addition of a bio-activator. This study aimed to quantify GHGs and NH3 fluxes and their reductions during slurry treatment using a dynamic chamber through FTIR analysis and to examine the potential of usage of bio-activators for slurry management. In addition, gas concentrations were measured at the barns and compared with their slurry management and architectural volume to obtain influences on their management and the architectural volume of the barns. Additionally, the effects of using a bio-activator in the barns inside the facility areas were addressed. Moreover, qPCR analysis was conducted to understand the correlations between syncoms and methanogen populations when a bio-activator is added to the slurry with at least a 30% reduction in methanogenic populations. The outcomes suggest encouraging results for GHG reductions in the livestock sector, giving farmers future options for climate change mitigation among their standard practices.
The main source of N2O emissions is agriculture, and coffee monocultures have become an important part of these emissions. The demand for coffee has increased in the last five decades. Thus, its production in agricultural fields and the excess of fertilizers have increased. This study quantified N2O emissions from different dose applications and types of nitrogen fertilizer in a region of major coffee production in Costa Rica. A specific methodology to measure N2O fluxes from coffee plants was developed using Fourier-transform infrared spectroscopy (FTIR). Measurements were performed in a botanical garden in Germany and plots in Costa Rica, analyzing the behavior of a fertilizer in two varieties of coffee (Catuai and Geisha), and in a field experiment, testing two types of fertilizers (chemical (F1) and physical mixture (F2)) and compost (SA). As a result, the additions of synthetic fertilizer increased the N2O fluxes. F2 showed higher emissions than F1 by up to 90% in the field experiment, and an increase in general emissions occurred after a rain event in the coffee plantation. The weak levels of N2O emissions were caused by a rainfall deficit, maintaining low water content in the soil. Robust research is suggested for the inventories.
In the last 20 years, the demand for coffee production has increased detrimentally, heightening the need for production, which is currently driving the increase in land cultivation for coffee. However, this increase in production ultimately leads to the amplification of waste produced. This study aims to develop an experimental methodology for sustainable coffee by-products (Pulp (CP)) in Costa Rica for nutrient-rich compost. The performance of the experiments is to explore and optimize composting processes following its key parameters. This will allow quantifying the emissions rate to obtain an emission factor for CP during the open composting process and optimizing the conditions to minimize CH4 emissions using P and green waste (GW) materials. Five CP and GW mixtures were analyzed for the composting process for ten weeks, acting P as primary input material as a by-product. Quantification of the methane emissions was performed in two areas: composting area and open field deposition. Peak temperatures of compost appeared at twenty-five days for control and five days for GW added treatments. CP emission factors provide a similar result with the standard values recommended by the literature, accomplishing the emission reductions. Thus, this study designed and validated a sustainable protocol for transforming coffee by-products into compost.
This study investigated the performance of aerobic windrow systems by using coffee by-products and green waste to reduce gaseous emissions. Thereafter, a comparison with the current treatment and gaseous emissions at a Coffee Mill in Costa Rica was made. Two different studies where performed in Germany (pile I and II) and one study in a Coffee Mill in Costa Rica (pile III). Temperature, water content, and pH were the key parameters controlled over 35 days in all the systems. Moreover, CH4 emission rates were quantified by a FTIR and by a portable gas detector device where the emissions reached values 100 times higher when coffee by-products as a unique material for the composting process was used. Results show that highest emission rates during the composting process for pile I was 0.007 g(m(2))(-1) h(-1), for pile II 0.006 g(m(2))(-1) h(-1), and for pile III 3.1 g(m(2))(-1) h(-1). It was found that CH4 emissions could be avoided if the mixture and the formation of the windrow piles were performed following the key parameter for composting, and the usage of additional material is used. With this, the reduction of CH4 emissions at the Mill in Costa Rica could be achieved in the future.
Throughout the world, the agriculture, sanitation and waste management sectors are mainly carried out in isolation, resulting in permanent nutrient drainage and large amounts of greenhouse gas (GHG) emissions due to inadequate or excessive use of fertilizers (San Martin Ruiz, et al. 2018). The purpose of this first part of study is to develop an innovative experimental methodology for the sustainable recycling and improved treatment of coffee by-products to produce organic compost, which can be used in agricultural crops including coffee plantations. The methodology will be implemented in a Mill in Costa Rica, due to the current waste management problems and the potential it possesses to reduce GHG emissions during its production cycle.
Odour concentration expressed in terms of OUE/m3 by using the dynamic olfactometry analysis, standardized by the European Norm (EN) 13725 are by now the most commonly and worldwide accepted method to measure odours. The EN, first edition published in the year 2003, is actually under review process by the WG2 of the CEN/TC246 and the end of the revision work is expected for the year 2018. Related to the odour panel the standard fixes some parameters (e.g: panel size). Nothing is, however, performed about the composition of the panel members in terms of their gender, the age of the involved persons and their origin and nationality. Also the current literature is limited to discussing how the measurement of emission rates derived from the same odour source could be related to the panel composition.The scope of this study is to investigate the influence on the determination of odour concentration with dynamic olfactometry, according to EN 13725 standards, applying different panel conditions, with the objective to define the optimal criteria to evaluate the odour concentration and obtain the highest repeatability and accuracy of the sensorial measure.A critical evaluation was carried out in relation to the same odour source with the comparison of the different panel composition (in terms of gender, age and nationality) to measure the odour concentration. In the experimental studies the measurements were conducted within 5 h after sampling to reduce the variability of the mixture and increase the reliability. All assessors who participate in odour measurements were qualified and tested according the quality criteria assurance foreseen by the EN13725. Studies were taken considering real environmental odour emissions collected at a wastewater treatment plant (WWTP).The results obtained show a not significantly influence of the investigated characteristics of the single panel member in the repeatability assurance of the measure of the odour concentration by dynamic olfactometry. While a variation of the results in terms of OU/m3 is demonstrated related to the different nationality and biological factors (age and gender) of the assessors. There is therefore the need to consider these factors in the current odour determination practices, for example in calculating the uncertainty factor of the measurement.
Gaseous emissions of biowaste treatment facilities have several adverse effects. In Germany, a law to collect biological waste separately was introduced in January 2015. Since then there is a discussion about greenhouse gases which could be emitted in a significant rate and exceed the positive aspects. Default factors for methane and nitrous oxide from biological treatments given by the Intergovernmental Panel on Climate Change (IPPC) suggests that fugitive emissions even from composting processes should not be neglected. The research work presents an innovative method to quantify fugitive methane and odour emissions at a composting plant. The proposed method uses a combination of a remote sensing measurements and the application of a backwards Lagrangian stochastic (bLs) based micrometeorological dispersion modelling. The remote sensing technology is based on the absorption of infrared light with a wavelength sensitive to the substance to be determined. With the downwind measured methane concentration deducted by the upwind measured background concentration and the known wind conditions, a gas dispersion is simulated back in time to estimate the gas emission rate of a plant. Using the methane emissions as a tracer for dispersion characteristics in the atmosphere it is even possible to estimate a more accurate odour emission rate from passive sources at composting plants.
Odour emissions from industrial plants affect air quality and are consequently cause of a growing number of public complaints. The control of odour represents a key issue in plant management. The starting point for an effective odour control is their objective measurement. The electronic nose represents probably the odour monitoring technique with the greatest potential, but currently there is not a universally recognized procedure for their application in the continuous characterization of environmental odours. The paper aims to present a novel procedure for training electronic noses in order to maximize their capability of operating a qualitative classification and estimating the odour concentration of ambient air. This novel approach reduces the uncertainty and increases the reliability of the continuous odour measures. The Electronic Nose (E.Nose) seedOA realized by the Sanitary Environmental Engineering Division (SEED) of the University of Salerno was applied to a real case in a large wastewater treatment plant. The papers highlights the characterization of the odour concentrations from the different treatment units and the identification of the principal odour sources.
Throughout the world, agriculture, sanitation and waste management sectors are mainly carried out in isolation, resulting in permanent nutrient drainage and large amounts of greenhouse gas emissions due to inadequate or excessive use of fertilizers. Currently in Costa Rica, after a study of coffee waste treatment practices in conjunction with NAMA Coffee and based on previous studies carried out in the country, certain questions have arisen regarding the practices and management of coffee by-products to produce organic compost. During this study, a methodology to measure the impact of the application of an aerobic treatment technology for coffee by-products was developed and applied. With this method, different techniques of composting were compared regarding their emission of greenhouse gases, especially methane. As a next step, the reasons for the higher emission rates were examined. The emission rates are given in units of [g/m 2 h] and the categorization and emission ranges were obtained according to the type of treatment and movement at the composting piles of each mill visited in the country. Moreover, ranges of emission factor in this article are given in g CH 4 /kg raw material. The duration of the project was from December 2017 until July 2018. In total 7 mills were visited in the country, divided in 4 cooperatives or mills and 3 private mills (small coffee farms). The methane emissions that have been observed during the different types of treatment applied to the coffee by-products indicate that the conditions must be optimized in order to create high-quality compost without any negative impact on the environment. The results obtained give an overview about five categories of treatment techniques that are used in Costa Rica to convert coffee by-products into compost which is used as a fertilizer. To some of these composting-categories, methane emission factors were calculated. It was found, that depending on the type of treatment, the methane emissions are between 10 times and more than 60 times higher than emission rates at garden waste or bio-waste composting plants referenced in literature. German Agency for International Cooperation (GIZ) established a NAMA support project (NSP): Low-carbon coffee Costa Rica. Within this framework, the actual activities are carried out.
During last decades several techniques were proposed for the measurement of odours in environmental field but until now no one was applied and diffused between worldwide countries. These due to the presence of a large number of variables correlated to fast and continuous variability of odours, their low concentration in environment, the meteorological conditions, the difficulty to sampling a representative volume of air. In Europe the dynamic olfactometry method was standardized in 2003 by EN 13725 and was proposed for the measurement of odour emissions. At same time several Countries have specific guidelines that norm in different way the assessment of odours. The scope of this study is to compare and evaluate the principal odour measurement methods (GC-MS, dynamic olfactometry, and electronic nose), nowadays applied in technical practices and reported in current scientific literature, used to identify and characterize the odour emissions from a wastewater treatment plant, with the aim of analysing the weaknesses and strengths of the different techniques. The study of the correlation between odour concentrations measured by different methods was also presented. The evaluation and analyses of the different odour measurement techniques have been carried out at the ISWA Institute of the Department of Civil Engineering, Stuttgart University. The investigated samples, collected at the different odour sources at wastewater treatment plant (WWTP) LFKW located at Stuttgart University Campus (Northern Germany), are analysed by dynamic olfactometry, electronic nose (eNose) and gas chromatography and mass spectrometry (GC-MS). The results obtained highlight the various data on the odour concentrations between different measurement methods at each sampling source of WWTP. Odour indexes were proposed to compare and evaluate the different sensorial and analytical techniques.
The aim of the work was to establish a method for emission control of biogas plants especially the observation of fugitive methane emissions. The used method is in a developmental stage but the topic is crucial to environmental and economic issues. A remote sensing measurement method was adopted to determine methane emission rates of a biogas plant in Rhineland-Palatinate, Germany. An inverse dispersion model was used to deduce emission rates. This technique required one concentration measurement with an open path tunable diode laser absorption spectrometer (TDLAS) downwind and upwind the source and basic wind information, like wind speed and direction. Different operating conditions of the biogas plant occurring on the measuring day (December 2013) could be represented roughly in the results. During undisturbed operational modes the methane emission rate averaged 2.8 g/s, which corresponds to 4% of the methane gas production rate of the biogas plant.
Methane emission monitoring has become increasingly essential for diffusive area sources, especially for landfills, which contribute to a significant fraction of the total anthropogenic methane emission globally. Statutorily, methane emission rate from landfills in Germany shall be examined on a semiannual basis; however, an appropriate approach has yet to be developed and adopted for general use. In this study, a new method is proposed based on experimental results, which utilizes a TDLAS (Tunable Diode Laser Absorption Spectroscopy) instrument - GasFinder2.0 (R) system and a dispersion model LASAT (Lagrangian Simulation of Aerosol Transport) as the measurement device and calculation model, respectively. Between April 2010 and December 2011, a research project was conducted at a pilot scale landfill in the south of Germany. Drawing on the extensive research into this pilot project, an effective strategy of measurement setup was determined. Methane concentration was measured with GasFinder2.0 (R) system in the upstream and downstream sections of the project site, while wind and turbulence data were measured simultaneously by an ultrasonic anemometer. The average methane emission rate from the source can be calculated by using the results as input data in the dispersion model. With this method, site-specific measurement approaches can be designed for not only landfills, but also different diffusive area sources with less workload and lower cost compared to conventional FID (Flame Ionization Detector) method. (C) 2013 Elsevier Ltd. All rights reserved.
Basing on application of biofilter technology in Europe examples of some countries in Asia and America are considered, how biofilter technology is applied or would apply. In principle, a large potential for biofilters exists. Due to the lack of legal regulations currently only a few systems are implemented.
Chapter 8 Case Studies for Assessment, Control and Prediction of Odour Impact J. Lehtinen, J. Lehtinen Department of Biological and Environmental Sciences, University of Jyväskylä, Jyväskylä, FinlandSearch for more papers by this authorS. Giuliani, S. Giuliani Sanitary Environmental Engineering Division (SEED), Department of Civil Engineering, University of Salerno, Fisciano, ItalySearch for more papers by this authorT. Zarra, T. Zarra Sanitary Environmental Engineering Division (SEED), Department of Civil Engineering, University of Salerno, Fisciano, ItalySearch for more papers by this authorM. Reiser, M. Reiser ISWA (Institut für Siedlungswasserbau, Wassergüte- und Abfallwirtschaft) University of Stuttgart, Stuttgart (Büsnau), GermanySearch for more papers by this authorV. Naddeo, V. Naddeo Sanitary Environmental Engineering Division (SEED), Department of Civil Engineering, University of Salerno, Fisciano, ItalySearch for more papers by this authorM. Kranert, M. Kranert ISWA (Institut für Siedlungswasserbau, Wassergüte- und Abfallwirtschaft) University of Stuttgart, Stuttgart (Büsnau), GermanySearch for more papers by this authorV. Belgiorno, V. Belgiorno Sanitary Environmental Engineering Division (SEED), Department of Civil Engineering, University of Salerno, Fisciano, ItalySearch for more papers by this authorA.C. Romain, A.C. Romain Department of Environmental Sciences and Management, Arlon Campus Environment, Faculty of Sciences, University of Liége (ULg)Search for more papers by this authorJ. Nicolas, J. Nicolas Department of Environmental Sciences and Management, Arlon Campus Environment, Faculty of Sciences, University of Liége (ULg)Search for more papers by this authorI. Sówka, I. Sówka Institute of Environmental Protection Engineering, Wroclaw University of Technology, Wroclaw, PolandSearch for more papers by this authorK.Y. Wang, K.Y. Wang School of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, ChinaSearch for more papers by this authorN. Kalogerakis, N. Kalogerakis Department of Environmental Engineering, Technical University of Crete, Chania, GreeceSearch for more papers by this authorM. Lazaridis, M. Lazaridis Department of Environmental Engineering, Technical University of Crete, Chania, GreeceSearch for more papers by this author J. Lehtinen, J. Lehtinen Department of Biological and Environmental Sciences, University of Jyväskylä, Jyväskylä, FinlandSearch for more papers by this authorS. Giuliani, S. Giuliani Sanitary Environmental Engineering Division (SEED), Department of Civil Engineering, University of Salerno, Fisciano, ItalySearch for more papers by this authorT. Zarra, T. Zarra Sanitary Environmental Engineering Division (SEED), Department of Civil Engineering, University of Salerno, Fisciano, ItalySearch for more papers by this authorM. Reiser, M. Reiser ISWA (Institut für Siedlungswasserbau, Wassergüte- und Abfallwirtschaft) University of Stuttgart, Stuttgart (Büsnau), GermanySearch for more papers by this authorV. Naddeo, V. Naddeo Sanitary Environmental Engineering Division (SEED), Department of Civil Engineering, University of Salerno, Fisciano, ItalySearch for more papers by this authorM. Kranert, M. Kranert ISWA (Institut für Siedlungswasserbau, Wassergüte- und Abfallwirtschaft) University of Stuttgart, Stuttgart (Büsnau), GermanySearch for more papers by this authorV. Belgiorno, V. Belgiorno Sanitary Environmental Engineering Division (SEED), Department of Civil Engineering, University of Salerno, Fisciano, ItalySearch for more papers by this authorA.C. Romain, A.C. Romain Department of Environmental Sciences and Management, Arlon Campus Environment, Faculty of Sciences, University of Liége (ULg)Search for more papers by this authorJ. Nicolas, J. Nicolas Department of Environmental Sciences and Management, Arlon Campus Environment, Faculty of Sciences, University of Liége (ULg)Search for more papers by this authorI. Sówka, I. Sówka Institute of Environmental Protection Engineering, Wroclaw University of Technology, Wroclaw, PolandSearch for more papers by this authorK.Y. Wang, K.Y. Wang School of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, ChinaSearch for more papers by this authorN. Kalogerakis, N. Kalogerakis Department of Environmental Engineering, Technical University of Crete, Chania, GreeceSearch for more papers by this authorM. Lazaridis, M. Lazaridis Department of Environmental Engineering, Technical University of Crete, Chania, GreeceSearch for more papers by this author Book Editor(s):Vincenzo Belgiorno, Vincenzo Belgiorno Sanitary Environmental Engineering Division (SEED), Department of Civil Engineering, University of Salerno, ItalySearch for more papers by this authorVincenzo Naddeo, Vincenzo Naddeo Sanitary Environmental Engineering Division (SEED), Department of Civil Engineering, University of Salerno, ItalySearch for more papers by this authorTiziano Zarra, Tiziano Zarra Sanitary Environmental Engineering Division (SEED), Department of Civil Engineering, University of Salerno, ItalySearch for more papers by this author First published: 26 November 2012 https://doi.org/10.1002/9781118481264.ch8Citations: 1 AboutPDFPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShareShare a linkShare onEmailFacebookTwitterLinkedInRedditWechat Summary This chapter contains sections titled: Urban Wastewater Treatment Plant Composting Plant Landfill of Solid Waste Industrial Activities Concentrated Animal Feeding Operation (CAFO) Plants Assessment, Control and Management of Odour in Sensitive Areas References Albrecht, A., Fischer, G., Brunemann-Stubbe, G., et al., Recommendations for study design and sampling strategies for airborne micro-organisms. 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