Greenhouse gas emissions from rotating biological contactors combined with hybrid constructed wetlands treating polluted river.

The rotating biological contactors combined with hybrid constructed wetlands (R-HCWs) has promising treatment performance, however, concerns persisted regarding greenhouse gases (GHGs) emissions. In this study, GHGs in the R-HCWs was evaluated, and results revealed that R-HCWs facilitated nitrogen conversion and provided alternating oxygen environments, thereby promoting the reduction of N2O and CH4 emissions. Therefore, the comprehensive global warming potential (8.7±2.7 g CO2-eq·m-3·d-1) for handling unit volume of river water was low, thus, greater ecological benefits were achieved. The relative abundance of functional microorganisms such as Bacillus, Acinetobacter, Nitrospira and norank_f__norank_o__SBR1031, increased due to warm season, which promoted the nitrogen cycle and N2O emission reduction. Anammox and denitrifying bacteria showed significantly correlated with N2O and CH4 emissions (p < 0.01). This study provides valuable insights for the potential adoption of biological and ecological integrated treatment approach optimized for improving water and mitigating GHGs emissions.

Biogas recovery from a state-of-the-art Italian landfill.

The Fossetto landfill has operated in the municipality of Monsummano Terme (Tuscany, Italy) since 1988, being considered a state-of-the-art landfill for 35 years. Initially, Fossetto acted as a conventional sanitary landfill for mixed municipal solid waste. With changes in regulations and technology, the Fossetto landfill was gradually equipped with a biogas recovery and valorisation system, a mechanical-biological treatment (MBT) plant in 2003 and a reverse osmosis leachate treatment plant, so the concentrated leachate has been recirculated back into the landfill body since 2006. Long-term biogas monitoring, enables the calculation of the efficiency of biogas recovery using a rather simplified methodology, which was assessed as being approximately 40% over the prior ten-years period. This value was lower than expected, confirming the results of previous studies and indicating the need of attributes. Applying the USEPA LandGEM model showed that the adoption of MBT substantially reduced biogas generation yields and rates by up to approximately 90% which was facilitated by the adoption of landfill leachate recirculation transforming the conventional landfill into a bioreactor. Detailed fugitive emission monitoring has allowed the evaluation of the impact of the cover type (final or temporary) and the emissions hotspots. From these results, possible remedial actions have been suggested including the more frequent monitoring of the fugitive emissions using simple and cost-effective methods (e.g., UAVs). Approximately 50% of fugitive emissions can be attributed to emissions hotspots, which reduce biogas recovery and the efficiency of temporary covers.

Greenhouse gases emissions and carbon budget estimation in horizontal subsurface flow constructed wetlands with different plant species.

Constructed wetlands (CWs) are pivotal for wastewater treatment due to their high efficiency and numerous advantages. The impact of plant species and diversity on greenhouse gas (GHG) emissions from CWs requires a more comprehensive evaluation. Moreover, controversial perspectives persist about whether CWs function as carbon sinks or sources. In this study, horizontal subsurface flow (HSSF) CWs vegetated with Cyperus alternifolius, Typhae latifolia, Acorus calamus, and the mixture of these three species were constructed to evaluate pollutant removal efficiencies and GHG emissions, and estimate carbon budgets. Polyculture CWs can stably remove COD (86.79 %), NH4+-N (97.41 %), NO3--N (98.55 %), and TP (98.48 %). They also mitigated global warming potential (GWP) by suppressing N2O emissions compared with monoculture CWs. The highest abundance of the Pseudogulbenkiania genus, crucial for denitrification, was observed in polyculture CWs, indicating that denitrification dominated in nitrogen removal. While the highest nosZ copy numbers were observed in CWs vegetated with Cyperus alternifolius, suggesting its facilitation of denitrification-related microbes. Selecting Cyperus alternifolius to increase species diversity is proposed for simultaneously maintaining the water purification capacity and reducing GHG emissions. Carbon budget estimations revealed that all four types of HSSF CWs were carbon sinks after six months of operation, with carbon accumulation capacity of 4.90 ± 1.50 (Cyperus alternifolius), 3.31 ± 2.01 (Typhae latifola), 1.78 ± 1.30 (Acorus calamus), and 2.12 ± 0.88 (polyculture) kg C/m2/yr. This study implies that under these operation conditions, CWs function as carbon sinks rather than sources, aligning with carbon peak and neutrality objectives and presenting significant potential for carbon reduction efforts.

Cheese whey and dairy manure anaerobic co-digestion at psychrophilic conditions: Technical and environmental evaluation.

Cheese whey (CW) and dairy manure (DM) are the main residues from the dairy industry, both of which can led to significant negative environment impacts if not properly managed. However, their combined anaerobic digestion represents an opportunity to obtain bioenergy and a stabilised material as a soil improver on the farm. Biochemical potential of methane (BMP) assays were carried out at psychrophilic conditions (20 °C) to analyse the influence on biomethane production of different CW:DM mixtures (% w/w) at different of inoculum-to-substrate ratios (ISR). Based on the BMP results, a life cycle assessment (LCA) of the cheese manufacturing process was carried out considering two scenarios (i) considering the current process, where propane gas and electricity are used for cheese production (ii) the incorporation of the biogas generated in the cheese production process in the company. BMP results showed that the best mixture between CW and DM was 65:35 (weight basis) at an organic load of 0.6 gVS/L (ISR of X). The LCA showed that CW and DM anaerobic digestion allowed to reduce the cheese manufacturing carbon footprint from through the substitution of propane by the biogas produced, changing from 5.5 to 3.1 kg CO2-eq/kg cheese produced, which indicates that according to the monthly production (633.6 kg) it would stop emitting about 1519 kg CO2-eq, i.e. a saving in terms of emissions of approximately 43,6% of the total currently generated.

The mediating role of renewable energy, sectoral output and economic growth on greenhouse gas emissions: African regional perspective.

Global greenhouse gas emissions are increasing when they should be progressively reducing, given worldwide concerted emissions mitigation efforts and protocols. To effectively tackle emissions to foster a sustainable climate, the situation's complexity needs a sector- and region-specific approach, not a one-stop analysis. We must first understand where the emissions originate-which sectors contribute the most to them. This study employs a panel multiregional framework with advanced econometric techniques accounting for cross-sectional dependence and heterogeneous slope coefficients to analyse GHG emissions (CO2 and CH4), sectoral output, economic growth and renewable energy dynamics across African regions from 2010 to 2019. The empirical findings are as follows: First, regional impacts of the economic sectors vary substantially, reflecting technological and socioeconomic differences leading to heterogeneous environmental patterns in the short and long term. Second, the estimated EKC turning points are uniformly lower, indicating slower environmental impact growth with sectoral development in African regions. Third, trade and urbanization are critical drivers of emissions in most regions and economic sectors, with a more pervasive impact on CO2 emissions than CH4 emissions. Finally, sectoral output imposes differential indirect CO2 and CH4 emissions effects via renewable energy, with East African manufacturing exhibiting the most significant emissions-reduction impact. Disaggregated, regional, and sectoral-specific strategies are recommended for designing green development pathways policies.

Impacto medioambientalde los servicios de Urgenciasen la Salud Pública: una herramienta de valoración / Carbon footprinting the Emergency Departments in the United Kingdom: an assessment too

FUNDAMENTOS: El cambio climático está directamente relacionado con el aumento de ciertas patologías como enfermedadescardiovasculares, respiratorias y/o infecciosas, así como con la desnutrición, provocada por la reducción de los alimentos disponibles,y el deterioro de la salud mental. La evidencia ha señalado que los servicios sanitarios son responsables del 4%-5% de las emisionesde gases efecto invernadero en todo el mundo. El objetivo de este estudio fue diseñar una herramienta de evaluación de la huella decarbono de los servicios de Urgencias.MÉTODOS: Se diseñó la herramienta a través de cinco etapas. En primer lugar, se seleccionaron las categorías a incluir en laherramienta desde una revisión de la literatura. Posteriormente, se determinaron el alcance y límites, se seleccionaron los factoresde conversión, se recopilaron datos del servicio de Urgencias del Royal Free Hospital de Londres como sitio piloto y se seleccionó elmétodo de cálculo de la huella de carbono.RESULTADOS: La herramienta resultante se dividió en tres ámbitos, y cada ámbito en una o más categorías que contienen varioselementos. Los datos se recopilaron de diferentes fuentes, como facturación, medidores, auditorías y encuestas. La herramienta sepresentó en un documento de Microsoft Excel.CONCLUSIONES: Esta herramienta de evaluación de carbono ofrece una oportunidad para monitorear las emisiones de carbonoen los servicios de Urgencias. Pretende proporcionar una valoración de la huella de carbono de referencia, identificando puntoscríticos de emisión dentro del servicio, que puede dar lugar a iniciativas ambientales locales.PALABRAS CLAVE: Huella de carbono; Emisiones de gases efecto invernadero; Servicios de Urgencias; Evaluación del ciclo devida; Impacto medioambiental.(AU)

BACKGROUND: Climate change is directly related to increasing medical conditions such as cardiovascular, respiratory and/or infectious diseases, as well as malnutrition and mental illness caused by the reduction of available food and the growth of situations with significant emotional impact, respectively. Evidence showed that healthcare services are responsible for 4-5% of the greenhouse gas emissions worldwide. The aim of this study is the development of an assessment tool to evaluate the carbon footprint ofemergency departments.METHODS: The development of the proposed assessment tool followed five stages. Firstly, the categories of GHGs to be included in the assessment tool were determined through a literature review. This was followed by establishment of scopes and boundaries, selection of conversion factors, collection of data from the Emergency Department at the Royal Free Hospital in London as a pilot site, and finally, the development of methodology to assess the carbon footprint.RESULTS : The assessment tool was divided in three scopes and each scope included one or more categories containing several items. Data was collected from different sources such as meters invoicing and billing, auditing, and surveys. The tool is presented in a Microsoft Excel document.CONCLUSIONS : This carbon assessment tool offers an opportunity to monitor carbon emissions in emergency departments, aiming to proliferate environmental strategies. The assessment tool seeks to provide a baseline carbon footprint assessment, identifying carbon hotspots within the department. The identification of these areas of intensive carbon emissions can help guide and focuslocal environmental initiatives that later can be monitored with a follow-up assessment to evaluate their effectiveness.KEYWORDS: Carbon footprint; Greenhouse gases emissions; Emergency departments; Life cycle assessment; Environmental impact.(AU)

Impact of bentonite on greenhouse gas emissions during pig manure composting and its subsequent application.

Additives were widely investigated to retain the nutrients and mitigate the greenhouse gas emissions (GHGs) during manure composting. However, the sustained effects of additives on the GHGs emissions following incorporation of composts to soil were scarcely explored. This study evaluated the effects of bentonite added at the beginning of pig manure composting on the GHGs emissions during two successive processes, i.e., composting and soil incubation amended with composting products. Addition of bentonite did not hinder the composting process and alter the total CO2 emission. On the other hand, reduction by about 17% and 29% for CH4 and N2O emission, respectively, was achieved in the presence of bentonite during composting. Incorporation of the final composting products to soil enhanced significantly the soil C and N of various forms, and gas emissions of CO2 and N2O. However, no significant differences were observed between bentonite-manure co-compost and manure-only compost application except for the N2O emission. Compared to the manure-only compost, compost amended with bentonite reduced N2O loss by around 6.8%, but not statistically significant. This study confirmed that addition of bentonite at the composting stage can mitigate the GHGs emission considering both composting and compost application stages, with all reductions occurring at the composting stage.

[Environmental impact of Emergency Services in Public Health: an assessment tool.] / Impacto medioambiental de los servicios de Urgencias en la Salud Pública: una herramienta de valoración.

OBJECTIVE: Climate change is directly related to increasing medical conditions such as cardiovascular, respiratory and/or infectious diseases, as well as malnutrition and mental illness caused by the reduction of available food and the growth of situations with significant emotional impact, respectively. Evidence showed that healthcare services are responsible for 4-5% of the greenhouse gas emissions worldwide. The aim of this study is the development of an assessment tool to evaluate the carbon footprint of emergency departments. METHODS: The development of the proposed assessment tool followed five stages. Firstly, the categories of GHGs to be included in the assessment tool were determined through a literature review. This was followed by establishment of scopes and boundaries, selection of conversion factors, collection of data from the Emergency Department at the Royal Free Hospital in London as a pilot site, and finally, the development of methodology to assess the carbon footprint. RESULTS: The assessment tool was divided in three scopes and each scope included one or more categories containing several items. Data was collected from different sources such as meters invoicing and billing, auditing, and surveys. The tool is presented in a Microsoft Excel document. CONCLUSIONS: This carbon assessment tool offers an opportunity to monitor carbon emissions in emergency departments, aiming to proliferate environmental strategies. The assessment tool seeks to provide a baseline carbon footprint assessment, identifying carbon hotspots within the department. The identification of these areas of intensive carbon emissions can help guide and focus local environmental initiatives that later can be monitored with a follow-up assessment to evaluate their effectiveness.

OBJETIVO: El cambio climático está directamente relacionado con el aumento de ciertas patologías como enfermedades cardiovasculares, respiratorias y/o infecciosas, así como con la desnutrición, provocada por la reducción de los alimentos disponibles, y el deterioro de la salud mental. La evidencia ha señalado que los servicios sanitarios son responsables del 4%-5% de las emisiones de gases efecto invernadero en todo el mundo. El objetivo de este estudio fue diseñar una herramienta de evaluación de la huella de carbono de los servicios de Urgencias. METODOS: Se diseñó la herramienta a través de cinco etapas. En primer lugar, se seleccionaron las categorías a incluir en la herramienta desde una revisión de la literatura. Posteriormente, se determinaron el alcance y límites, se seleccionaron los factores de conversión, se recopilaron datos del servicio de Urgencias del Royal Free Hospital de Londres como sitio piloto y se seleccionó el método de cálculo de la huella de carbono. RESULTADOS: La herramienta resultante se dividió en tres ámbitos, y cada ámbito en una o más categorías que contienen varios elementos. Los datos se recopilaron de diferentes fuentes, como facturación, medidores, auditorías y encuestas. La herramienta se presentó en un documento de Microsoft Excel. CONCLUSIONES: Esta herramienta de evaluación de carbono ofrece una oportunidad para monitorear las emisiones de carbono en los servicios de Urgencias. Pretende proporcionar una valoración de la huella de carbono de referencia, identificando puntos críticos de emisión dentro del servicio, que puede dar lugar a iniciativas ambientales locales.

The carbon footprint of healthcare settings: A systematic review.

Healthcare systems are responsible for 4%-5% of the emissions of greenhouse gases worldwide. The Greenhouse Gas Protocol divides carbon emissions into three scopes: scope 1 or direct emissions secondary to energy use; scope 2 or indirect emissions secondary to purchased electricity; and scope 3 for the rest of indirect emissions. AIM: To describe the environmental impact of health services. DESIGN: A systematic review was conducted in the Medline, Web of Science, CINAHL, and Cochrane databases. Studies that focused their analysis on a functional healthcare unit and which included. This review was conducted from August to October 2022. RESULTS: The initial electronic search yielded a total of 4368 records. After the screening process according to the inclusion criteria, 13 studies were included in this review. The reviewed studies found that between 15% and 50% of the total emissions corresponded to scopes 1 and 2 emissions, whereas scope 3 emissions ranged between 50% and 75% of the total emissions. Disposables, equipment (medical and non-medical) and pharmaceuticals represented the higher percentage of emissions in scope 3. CONCLUSION: Most of the emissions corresponded to scope 3, which includes the indirect emission occurring as a consequence of the healthcare activity, as this scope includes a wider range of emission sources than the other scopes. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: Interventions should be carried out by the healthcare organizations responsible of Greenhouse Gas emissions, and also every single individual that integrates them should make changes. The use of evidence-based approaches to identify carbon hotspots and implement the most effective interventions in the healthcare setting could lead to a significant reduction of carbon emissions. IMPACT: This literature review highlights the impact that healthcare systems have on climate change and the importance of adopting and carrying out interventions to prevent its fast development. REPORTING METHOD: This review adhered to PRISMA guideline. PRISMA 2020 is a guideline designed for systematic reviews of studies that analyse the effects of heath interventions, and aim is to help authors improve the reporting of systematic review and meta-analyses. PATIENT OR PUBLIC CONTRIBUTION: No Patient or Public Contribution.

Contribution of agricultural land conversion to global GHG emissions: A meta-analysis.

Greenhouse gases (GHG) have extensive environmental effects by trapping heat and causing climate change and air pollution. Land plays a key role in the global cycles of GHG (i.e., carbon dioxide (CO2), methane (CH4), and nitrogen oxide (N2O)), and land use change (LUC) can lead to the release of such gases into the atmosphere or the removal of them from the atmosphere. One of the most common forms of LUC is agricultural land conversion (ALC) where agricultural lands are converted for other uses. This study aimed to review 51 original papers from 1990 to 2020 that investigate the contribution of ALC to GHG emissions from a spatiotemporal perspective using a meta-analysis method. The results of spatiotemporal effects on GHG emissions showed that the effects were significant. The emissions were affected by different continent regions representing the spatial effects. The most significant spatial effect was relevant to African and Asian countries. In addition, the quadratic relationship between ALC and GHG emissions had the highest significant coefficients, showing an upward concave curve. Therefore, increasing ALC to more than 8 % of available land led to increasing GHG emissions during the economic development process. The implications of the current study are important for policymakers from two perspectives. First, to achieve sustainable economic development, policymaking should prevent the conversion of more than 90 % of agricultural land to other uses based on the turning point of the second model. Second, policies to control global GHG emissions should take into account spatial effects (e.g., continental Africa and Asia), which show the highest contribution to GHG emissions.

Combination of Water-Saving Irrigation and Nitrogen Fertilization Regulates Greenhouse Gas Emissions and Increases Rice Yields in High-Cold Regions, Northeast China.

Increased rice production, which benefitted from cropping areas expansion and continuous N applications, resulted in severe increases in greenhouse gases (GHG) emissions from 1983 to 2019 in Heilongjiang Province, China. Therefore, field trials were performed in the high-cold Harbin region, Northeast China, to determine the efficiency of incorporating water regimes with N fertilization in minimizing the impact of rice production on GHG emissions. Two water-saving irrigation strategies, intermittent irrigation (W1) and control irrigation (W2), were used relative to continuous flooding (W0), and we combined them with six fertilized treatments. Our results demonstrated that W1 and W2 significantly decreased seasonal CH4 emissions by 19.7-30.0% and 11.4-29.9%, enhanced seasonal N2O emissions by 77.0-127.0% and 16.2-42.4%, and increased significantly yields by 5.9-12.7% and 0-4.7%, respectively, compared with W0. Although trade-offs occurred between CH4 and N2O emissions, W1 and W2 resulted in significant reductions in global warming potential (GWP). Moreover, low N rates (<120 kg N ha-1) performed better in GWP than high N rates. N fertilization and irrigation regimes had remarkable effects on rice yields and GWP. In conclusion, the incorporation of W1 and a N application under 120 kg N ha-1 could simultaneously mitigate GWP while enhancing production in black soils in high-cold Northeast China.

Dataset on the solid-liquid separation of anaerobic digestate by means of wood ash-based treatment.

Wood bottom and fly ashes were added to the anaerobic digestate using sulfuric, hydrochloric, nitric, and lactic acids, as pH conditioners and sorption activating agents. Minimum (pH of zero-point charge), mild, and severe acidification of the samples were tested. The solid-liquid separation achieved was accounted visually and with the measurement of the masses of water-soluble extract and water-insoluble material isolated. The average mass of the blend was 36.61 ± 0.68 g, including the extractant agent that was prepared with the commercial acids and ultrapure milli-QⓇ water. During the 144-h incubation of the mixtures at 20 °C and 0.17 x g, the shares of the solid and liquid were determined by centrifugation of the destructive samples at 3,130.40 x g for 5 minutes and 3-µm filtration of the supernatant. Before weighing the water-insoluble material, both the pellet that remained in the tube and the filter cake were dried at 70 °C until reaching constant weight. There was a significant increase in the amount of water-insoluble phase of the wood bottom ash due to the activation with lactic and sulfuric acids. The treatment of the wood fly ash and the agrowaste digestate with the hydrochloric acid showed an increase in the formation of water-soluble extract, in direct relation with the acidic pH of the blend. The characterization of the pH of the WS extract was performed with a Mettler ToledoⓇ Seven CompactTM S220 pH/Ion meter. The conditions of this process can be further optimized and each of the fractions can be characterized, in terms of nutrient content, to confirm the efficiency of the separation. More complex and ambitious processes can be designed for combining the wood ash and the anaerobic digestate. The performance of this treatment involving wood ashes and commercial acids can be extrapolated to other type of organic manures with a moisture content of approximately 95%, to improve their management in terms of reducing the cost of storage and transportation for land application below £5 per tonne.

Peatlands spectral data influence in global spectral modelling of soil organic carbon and total nitrogen using visible-near-infrared spectroscopy.

Peatlands ecosystem is one of the largest global terrestrial carbon pools. However, there is a shortness of its characterisation and information through new proximal sensing approaches. The visible and near-infrared spectroscopy is an inexpensive, quick, non-evasive, proximal sensing and low-cost analysis employed in field and/or laboratory. Despite that, there is another current issue in using this tool for creating global models, which is how it can retrieve local characteristics such as soil organic carbon (SOC) and total nitrogen (TN) in peatlands ecosystems. The aims in this study were to: (i) create a local model for quantifying SOC and TN finding the best pre-processing and machine learning methods in peatlands ecosystem, and (ii) evaluate the contribution of SOC and TN data collected in that ecosystem to global models in European Union. The hypothesis was that the SOC and TN data sampled in peatlands ecosystem can improve analytical quantification of those soil properties. The soil and spectral datasets were retrieved from the Land Use/Cover Area frame Statistical Survey with 21,771 observations at 0-20 cm depth and 63 soil cores in a degraded peatland in Germany with 262 observations up to 2 m depth. We evaluated three spectral pre-processing techniques with the Partial Least Square Regression (PLSR), Random Forest (RF), and Cubist machine learning algorithms. The best pre-processing technique was achieved applying Savitzky-Golay smoothing with a window size of 71 points, 2nd order polynomial, and zero derivative with Cubist algorithm for both SOC and TN predictions. Furthermore, merging the local with global data for global modelling demonstrated to improve SOC and TN predictions because of the local data representativeness and quality. Therefore, the SOC and TN data sampled in peatlands ecosystem can improve quantification of those soil properties in field and laboratory, which are crucial proxies for GHG emissions and climate change.

An eco-environmental efficiency analysis of Malaysia sewage treatment plants: an incorporated window-based data envelopment analysis and ordinary least square regression.

Most human activities that use water produced sewage. As urbanization grows, the overall demand for water grows. Correspondingly, the amount of produced sewage and pollution-induced water shortage is continuously increasing worldwide. Ensuring there are sufficient and safe water supplies for everyone is becoming increasingly challenging. Sewage treatment is an essential prerequisite for water reclamation and reuse. Sewage treatment plants' (STPs) performance in terms of economic and environmental perspective is known as a critical indicator for this purpose. Here, the window-based data envelopment analysis model was applied to dynamically assess the relative annual efficiency of STPs under different window widths. A total of five STPs across Malaysia were analyzed during 2015-2019. The labor cost, utility cost, operation cost, chemical consumption cost, and removal rate of pollution, as well as greenhouse gases' (GHGs) emissions, all were integrated to interpret the eco-environmental efficiency. Moreover, the ordinary least square as a supplementary method was used to regress the efficiency drivers. The results indicated the particular window width significantly affects the average of overall efficiencies; however, it shows no influence on the ranking of STP efficiency. The labor cost was determined as the most influential parameter, involving almost 40% of the total cost incurred. Hence, higher efficiency was observed with the larger-scale plants. Meanwhile, the statistical regression analysis illustrates the significance of plant scale, inflow cBOD concentrations, and inflow total phosphorus concentrations at [Formula: see text] on the performance. Lastly, some applicable techniques were suggested in terms of GHG emission mitigation.

Improved CRA-method in phenomenological approach (on the example of innovative SME and GHG emissions).

Despite the successful experience of highly developed countries, for example, in achieving sustainable development, there is no single recipe. Each country can create its own development scenario or combine existing, which will provide it with positive results. We can determine the best ones using the built rating. To build it, the article proposes an approach consisting of several stages. First, the study determines the relationship between the selected factors and the resulting indicator using a correlation analysis. Then, using the Sturges rule, we determine the range and group the countries in the context of each range (group) in accordance with the level of individual indicators. After, we form groups of countries according to the rating. This approach is entirely shown on the impact of small and medium enterprises' innovation on greenhouse gas emissions. Correlation analysis is often used to determine the relationship between factors and resulting indicators. We have shown that its use without additional processing of input data can lead to false results. Therefore, further in the study show imperfection of "blind" correlation and regression analysis in the phenomenological approach. And in our example, offer an improved technique for processing input data for correlation analysis and changed the ranking of countries.

Carbon Footprint of a Port Infrastructure from a Life Cycle Approach.

One of the most important consequences caused by the constant development of human activity is the uncontrolled generation of greenhouse gases (GHG). The main gases (CO2, CH4, and N2O) are illustrated by the carbon footprint. To determine the impact of port infrastructures, a Life Cycle Assessment approach is applied that considers construction and maintenance. A case study of a port infrastructure in Spain is analyzed. Main results reflect the continuous emission of GHG throughout the useful life of the infrastructure (25 years). Both machinery (85%) and materials (15%) are key elements influencing the obtained results (117,000 Tm CO2e).

Environmental impacts of desalination and brine treatment - Challenges and mitigation measures.

Desalination is perceived as an effective and reliable process for obtaining freshwater from aqueous saline solutions such as brackish water, seawater and brine. This can be clarified by the fact that >300 million people worldwide rely on desalinated water for their daily needs. Although the desalination process offers many advantages, there are rising concerns about possible adverse environmental impacts. Generally, environmental impacts can be generated both in the construction and operation of desalination plants. A major issue of desalination is the co-produced waste called 'brine' or 'reject' which has a high salinity along with chemical residuals and is discharged into the marine environment. In addition to brine, other main issues are the high energy consumption of the desalination and brine treatment technologies as well as the air pollution due to emissions of greenhouse gasses (GHGs) and air pollutants. Other issues include entrainment and entrapment of marine species, and heavy use of chemicals. The purpose of this review is to analyze the potential impacts of desalination and brine treatment on the environment and suggest mitigation measures.

Reconsidering the contribution of Canadian poultry production to anthropogenic greenhouse gas emissions: returning to an integrated crop-poultry production system paradigm.

Public discourse around "greenhouse gases" (GHG) has led to the application of life-cycle assessments to ascertain the "global warming potential" of human activities. Life-cycle assessments applied to agricultural systems typically do not consider positive contributions (i.e., fixation of atmospheric carbon dioxide [CO2]) or consider complex interrelationships among commodities within the larger agricultural sector. The purpose of this article is to present an argument for a paradigm shift and that poultry production should be considered as a value-adding activity within modern crop production systems for GHG foot-printing purposes. To this end, a case study based on 2018 production data is presented where poultry production (chicken and eggs) was contextualized as a sub-component of wheat and corn production in the Canadian provinces of Alberta and Ontario, respectively. Total GHG footprint was calculated to be 3.05 and 3.29 million tonnes (MT) of CO2 equivalent (eq) for Alberta wheat and Ontario corn production, respectively. The GHG footprint of chicken production was calculated to be 0.39 and 1.38 MT CO2 eq in Alberta and Ontario, respectively. The GHG footprint of egg production calculated to be 0.12 and 0.47 MT of CO2 eq in Alberta and Ontario, respectively. When carbon (C) fixation as crop biomass is included in the scenario, the combined crop-poultry system C balance in 2018 favored net fixation of 40.70 and 35.15 MT of CO2 eq in Alberta and Ontario, respectively. The calculated total GHG footprint of poultry production in Alberta and Ontario corresponded to only 1.2 and 5.5% of the calculated total net CO2 fixation of their respective cropping systems. This case study demonstrates that by failing to acknowledge real world estimates of C fixation by crop biomass, GHG foot-printing exercises largely misrepresent reality and can thus perpetuate faulty assumptions about the environmental footprint of animal agriculture. The authors propose that the calculations presented herein provide grounds to postulate the hypothesis that modern, integrated crop-livestock agricultural systems in Canada (and elsewhere) act as net sinks for atmospheric CO2.

CAP payments and agricultural GHG emissions in Italy. A farm-level assessment.

The Common Agricultural Policy (CAP) is an important external driver of European agricultural production. Nowadays and in its envisioned future structure post-2020, the CAP has among its major objectives tackling climate change, for what concerns both adaptation and mitigation strategies. However, little is known about the link between past CAP reforms and agricultural greenhouse gases (GHG) emissions. This paper investigates the possible role played by the Fischler Reform (FR) on the agricultural GHG emissions at the farm level. The FR represents a major CAP reform for which data availability allows an ex-post analysis about its actual impacts. The empirical analysis concerns a balanced panel of 6542 Italian Farm Accountancy Data Network observed over years the 2003-2007. Multinomial Logit models are estimated in sequence to express how the farm-level production choices, and the respective emissions, vary over time also in response to CAP expenditure. Results suggest that CAP expenditure had a role in the evolution of the farm-level emissions, though the direction of this effect may differ across farms and deserves further investigation.

Control strategies for nitrous oxide emissions reduction on wastewater treatment plants operation.

The present paper focused on reducing greenhouse gases emissions in wastewater treatment plants operation by application of suitable control strategies. Specifically, the objective is to reduce nitrous oxide emissions during the nitrification process. Incomplete nitrification in the aerobic tanks can lead to an accumulation of nitrite that triggers the nitrous oxide emissions. In order to avoid the peaks of nitrous oxide emissions, this paper proposes a cascade control configuration by manipulating the dissolved oxygen set-points in the aerobic tanks. This control strategy is combined with ammonia cascade control already applied in the literature. This is performed with the objective to take also into account effluent pollutants and operational costs. In addition, other greenhouse gases emissions sources are also evaluated. Results have been obtained by simulation, using a modified version of Benchmark Simulation Model no. 2, which takes into account greenhouse gases emissions. This is called Benchmark Simulation Model no. 2 Gas. The results show that the proposed control strategies are able to reduce by 29.86% of nitrous oxide emissions compared to the default control strategy, while maintaining a satisfactory trade-off between water quality and costs.