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Abstract. The impact of multiphase reactions involving nitrogen dioxide (NO2) and aromatic compounds was simulated in this study. A mechanism (CAPRAM 2.4, MODAC Mechanism) was applied for the aqueous phase reactions, whereas RACM was applied for the gas phase chemistry. Liquid droplets were considered as monodispersed with a mean radius of 0.1 µm and a liquid content (LC) of 50 µg m-3. The multiphase mechanism has been further extended to the chemistry of aromatics, i.e. reactions involving benzene, toluene, xylene, phenol and cresol have been added. In addition, reaction of NO2 with dissociated hydroxyl substituted aromatic compounds has also been implemented. These reactions proceed through charge exchange leading to nitrite ions and therefore to nitrous acid formation. The strength of this source was explored under urban polluted conditions. It was shown that it may increase gas phase HONO levels under some conditions and that the extent of this effect is strongly pH dependent. Especially under moderate acidic conditions (i.e. pH above 4) this source may represent more than 75% of the total HONO/NO2 - production rate, but this contribution drops down close to zero in acidic droplets (as those often encountered in urban environments).

AbstractThe concept of a ‘just transition’ to a low‐carbon economy is firmly embedded in mainstream global discourses about mitigating climate change. Drawing on Karl Polanyi's political economy elaborated inThe Great Transformation, we interrogate the idea of a just transition and place it within its historical context. We address a major contradiction at the core of global energy transition debates: the rapid shift to low‐carbon energy‐systems will require increased extraction of minerals and metals. In doing so, we argue that extractive industries are energy and carbon‐intensive, and will enlarge and intensify social and ecological injustice. Our findings reveal the importance of understanding how the idea of a just transition is used, and by who, and the type of justice that underpins this concept. We demonstrate the need to ground just transition policies and programmes in a notion of justice as fairness.

Societal relations in rural areas have entered into a new stage of adjustment over the past decade. However, the adjustment, which might bring about profound societal changes in countryside as well as in China as a whole, have not been paid much attention and very few studies have been conducted from the perspective of ecological resource crises. We use the case of a village as an example to show how water pollution, as one of the contributory factors, possibly affect the transition of clans and societal changes in Chinese villages. Through observation and interviews, we find that there is an apparent rise of “New Clanism” within clans, which gradually abandons the tradition of supremacy of clan interests and places family or individual interests at top priority. We also find that clan boundaries get increasingly obscure since the integrity of clans is undermined by the rise of new interest groups across clans, but the boundaries remain relatively clear due to the consistency (albeit incomplete) of clan interests. Some new clan élites and representatives of new interest groups get involved in village governance, which indicates that their goals have shifted from natural resources to social or political capital. The significance of our findings is that they provide not only a unique perspective for the interaction between society and resources, but also some new ideas for the future study of rural China at the environment-social interface.

Coupling between the UEDGE (edge fluid model), GINGRED (grid generation) and CAKE (equilibrium reconstruction) codes opens the door for automated interpretative scrape-off-layer (SOL) analysis over entire discharges, providing information that is essential in efforts to couple the SOL to core transport codes. In this work, we utilize new developments in the autoUEDGE code (Izacard et al. 2018) to investigate the behavior of the DIII-D SOL during the temporal evolution of an edge-localized mode (ELM) cycle. Modeled temperature and density profiles in UEDGE are automatically matched to experimental measurements by iteratively and self-consistently adjusting transport coefficient profiles in the plasma edge. This analysis is completed over multiple ELM cycles of a well-diagnosed discharge with long (∼100ms) inter-ELM periods. Directly after the ELM crash, a short period of high-density, low-temperature conditions is observed in Langmuir probe measurements at the outer divertor. This regime is associated with enhanced Dαemission and incident particle flux, suggesting that the divertor enters a period of high recycling after an ELM crash. After about ∼25ms, divertor conditions return to their pre-ELM conditions and remain there for several tens of milliseconds. Using the autoUEDGE code, the SOL is modeled as a function of ELM cycle using upstream profiles as input. The 2D modeling successfully reproduces both divertor Thomson scattering measurements and the experimentally observed divertor dynamics. Though the recycling is kept fixed throughout the modeling, changes in particle fluxes are consistent with local experimental recycling changes induced by ELMs. Agreement between modeling and observation suggests a strong link between upstream profiles and the high-recycling divertor conditions directly following large type-I ELMs.

SignificanceMarginal emissions of CO2from the electricity sector are critical for evaluating many climate policies. We provide estimates of marginal CO2emissions for electricity use in the United States that vary by region, hour of day, and year to year. Despite a decrease in average emissions over the last decade, marginal emissions have increased. We apply our estimates to an analysis of the Biden administration’s target of having electric vehicles make up 50% of new vehicle purchases by 2030. We find that, without significant and concurrent changes to the electricity sector far more substantial than those over the last decade, the increase in electricity emissions is likely to offset more than half the emission reductions from having fewer gasoline-powered vehicles.

Le Pakistan traverse une crise énergétique terrifiante et dévastatrice. Récemment, la prévision de la consommation d'énergie s'est intensifiée par rapport à sa capacité de production, ce qui est problématique pour la stabilité sociale et économique du Pakistan. Par conséquent, il est essentiel d'examiner le lien entre la consommation d'électricité, les prix de l'électricité, la transition urbaine, les autres utilisations d'électricité et l'expansion économique de 1970 à 2018 au Pakistan. Pour l'analyse, la technique économétrique de deuxième génération de Lee et Strazicich (2013), le nouveau Augmented Autoregressive Distributed Lag (AARDL) et Frequency Domain Causality (FDC) est utile pour détecter l'association à moyen et à court terme entre les variables. Les résultats montrent que la consommation d'électricité stimule l'expansion économique à court et à long terme, bien que la hausse des prix de l'électricité diminue l'activité économique à court et à long terme. En outre, la transition urbaine et d'autres utilisations de l'électricité ont un impact positif et négatif substantiel sur l'expansion économique à court et à long terme. Le résultat suggère qu'un approvisionnement énergétique efficace, des prix de l'énergie à faible coût, une bonne gestion de la transition urbaine et d'autres utilisations de l'énergie pourraient être utiles aux décideurs pour atteindre les ODD 7 et 11 au Pakistan. Pakistán se encuentra en una crisis energética aterradora y devastadora. Recientemente, la predicción del consumo de energía se ha intensificado en comparación con su capacidad de producción, lo que es problemático para la estabilidad social y económica de Pakistán. Por lo tanto, es vital examinar el vínculo entre el consumo de energía, los precios de la energía, la transición urbana, otros usos de la electricidad y la expansión económica de 1970 a 2018 en Pakistán. Para el análisis, la técnica econométrica de segunda generación de Lee y Strazicich (2013), el novedoso Retraso Distribuido Autoregresivo Aumentado (AARDL) y la Causalidad en el Dominio de la Frecuencia (FDC) son útiles para detectar la asociación a largo y corto plazo entre las variables. Los resultados muestran que el consumo de energía estimula la expansión económica a corto y largo plazo, aunque el aumento de los precios de la energía disminuye la actividad económica a corto y largo plazo. Además, la transición urbana y otros usos de la electricidad tienen un impacto positivo y negativo sustancial en la expansión económica a corto y largo plazo. El resultado sugiere que el suministro eficiente de energía, los precios de la energía de bajo coste, la gestión adecuada de la transición urbana y otros usos de la energía podrían ser útiles para que los responsables políticos alcancen los ODS 7 y 11 en Pakistán. Pakistan is in a terrifying and devastating energy crisis. Recently, the prediction for energy consumption has intensified compared to its production capacity, which is problematic for Pakistan's social and economic stability. Hence, it is vital to examine the link between power consumption, power prices, urban transition, other electricity use, and economic expansion from 1970 to 2018 in Pakistan. For analysis, the second-generation econometric technique of Lee and Strazicich (2013), novel Augmented Autoregressive Distributed Lag (AARDL), and Frequency Domain Causality (FDC) is useful to detect the long-medium and short-run association among the variables. The results show that power consumption stimulates economic expansion in the short and long-run, though the rise in power prices declines economic activity in the short and long-run. Also, urban transition and other electricity use are a substantial positive and negative impact on economic expansion in the short and long-run. The outcome suggests that efficient energy supply, low-cost power prices, proper urban transition management, and other energy use could be useful for policymakers to achieve SDGs 7 and 11 in Pakistan. باكستان في أزمة طاقة مرعبة ومدمرة. في الآونة الأخيرة، تكثف التنبؤ باستهلاك الطاقة مقارنة بقدرته الإنتاجية، مما يمثل مشكلة للاستقرار الاجتماعي والاقتصادي لباكستان. وبالتالي، من الضروري دراسة الصلة بين استهلاك الطاقة وأسعار الطاقة والتحول الحضري واستخدام الكهرباء الأخرى والتوسع الاقتصادي من 1970 إلى 2018 في باكستان. للتحليل، فإن تقنية الاقتصاد القياسي من الجيل الثاني من Lee and Strazicich (2013)، والتأخر الموزع الانحداري الذاتي المعزز (AARDL)، وسببية مجال التردد (FDC) مفيدة للكشف عن الارتباط طويل المدى وقصير المدى بين المتغيرات. تظهر النتائج أن استهلاك الطاقة يحفز التوسع الاقتصادي على المدى القصير والطويل، على الرغم من أن ارتفاع أسعار الطاقة يؤدي إلى انخفاض النشاط الاقتصادي على المدى القصير والطويل. كما أن التحول الحضري والاستخدامات الأخرى للكهرباء لها تأثير إيجابي وسلبي كبير على التوسع الاقتصادي على المدى القصير والطويل. تشير النتيجة إلى أن إمدادات الطاقة الفعالة، وأسعار الطاقة منخفضة التكلفة، وإدارة الانتقال الحضري المناسبة، وغيرها من استخدامات الطاقة يمكن أن تكون مفيدة لصانعي السياسات لتحقيق هدفي التنمية المستدامة 7 و 11 في باكستان.