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Исследование ландшафтов всегда было традиционным научным направлением географии. В России подобная направленность исследований остаётся актуальной, несмотря на то, что термины «геоэкология» и «ландшафтная экология» сегодня более распространены в англоязычном научном сообществе. Наш краткий обзор показывает значительное ускорение антропогенных ландшафтных изменений в Европе, Центральной Азии и азиатской части России за последние пять десятилетий. Ландшафтные исследования в антропоцене должны быть направлены на достижение и сохранение устойчивости ландшафта при его высокой производительности, что включает в себя прекращение деградации ландшафтов, развитие культурных и сохранение природных ландшафтов. Чистая вода и чистый воздух, плодородные и здоровые почвы для производства продуктов питания и других экосистемных услуг, а также биологически разнообразная зеленая среда являются атрибутами ландшафтов, обеспечивающих выживание и благополучие населения. Дисциплинарные и междисциплинарные исследования должны генерировать знания, инновации и правила принятия действенных решений. Генерация знаний в глобализованном мире основана на сборе больших массивов данных и моделировании сценариев. Международные длительные полевые опыты и системы агроэкологического мониторинга будут предоставлять данные для экосистемных моделей и систем поддержки принимаемых решений. Landscape research has been a traditional scientific discipline of geography. This is still the case in Russia, whilst the terms geo-ecology and landscape ecology have become established in the English speaking scientific community. Our short review reveals huge and accelerating anthropogenic landscape transformations in Europe, Central Asia and Asian Russia since the end the 1960s. Landscape research in the Anthropocene has to focus on achieving landscape sustainability at high productivity. This includes halting landscape degradation, developing cultural landscapes, and maintaining semi-natural landscapes. Clean water and air, fertile and healthy soils for food and other ecosystem services and a green and bio-diverse environment are attributes of landscapes for the survival and well-being of humans. Research has to generate knowledge, innovations and decision rules by disciplinary, interdisciplinary and trans-disciplinary work. Knowledge generation in a globalized world is based on big data gathering and scenario modelling. International long-term experiments and agri-environmental monitoring systems will deliver data for ecosystem models and decision support systems.

Building materials have played a more and more important role in saving building energy since the central government of China set higher standards and requirements for new-constructed and retrofit buildings after 2005. Glazing units, especially energy-saving units including LOW-E coated glazing units and PVB laminated glass, are utilized nation-wide. This paper employs energy simulation to analyze the energy-saving effects of different glazing units in residential buildings in the city of Guangzhou, as an example of hot-humid climate in China. It appeals that the PVB laminated glass can refuse 44 % solar radiation to enter rooms and reduce 40 % of the shading coefficient comparing to clear glass. Meanwhile, in the aspects of operation and design of the HVAC system, 28 % of cooling load, 21 % of installed capacity and 8.6 % of full-load operation time can be saved.

This study employs an electricity system capacity panning model with detailed economic dispatch and unit commitment decisions/constraints to quantitatively answer two key questions: How does the enactment of the federal Inflation Reduction Act of 2022 impact the cost of electricity, greenhouse gas emissions, and investment in electricity capacity in the PJM Interconnection over the 2023-2035 period? Given new and expanded federal subsidies for clean electricity resources in the Inflation Reduction Act, what additional capacity investments and resource deployment would be required and at what cost for the PJM region to reduce greenhouse gas emissions 80-90% by 2035 while maintaining an affordable and reliable electricity supply? Executive summary: In August 2022, Congress passed and President Biden signed the Inflation Reduction Act (IRA), which enacts a comprehensive set of financial incentives (tax credits, grants, rebates, loans) that support all sources of carbon-free electricity, promote vehicle and building electrification and efficiency, and subsidize carbon capture and storage (CCS). The implementation of IRA means that the full financial weight of the federal government is now behind the clean energy transition. This will have transformative effects on the economics of decarbonization in the PJM Interconnection (and across the United States). IRA will spark a new, sustained period of growth in PJM electricity consumption, which could rise ~19% from 2021 to 2030. The law also subsidizes the cost of deploying new renewable energy capacity and maintaining the region’s existing nuclear fleet. As a result, this study finds that clean electricity could supply 60% [58-66% across sensitivities] of PJM demand in 2030, up from 48% [43-61%] without enactment of IRA. However, realizing this potential will require a dramatic acceleration in the pace of wind and solar interconnection and transmission expansion in the PJM Interconnection. The growth of lower-cost, carbon-free electricity under IRA will significantly reduce CO2 emissions from PJM power generation, which could fall 37% [3-66%] from 2019/2021 levels. In contrast, PJM emissions would increase 12% [0-15%] from 2021 levels without IRA. However, PJM emissions may rebound after 2032 when a production tax credit for existing nuclear reactors established by IRA is set to expire. Unless equivalent policy support is extended beyond 2032, our modeling finds 12 GW [0-33 GW] of the PJM nuclear fleet is likely to retire by 2035, with new natural gas capacity and generation increasing to fill the resulting gap and meet growing demand, reversing some of the emissions progress achieved through 2030. In addition to driving down greenhouse gas emissions, IRA also lowers the cost of electricity supply in the PJM region. We find the average cost of bulk electricity supply for PJM load serving entities (LSEs), including transmission expansion and state policy requirements, will be about $42/MWh [~$40-45/MWh] in 2030, about 5-10% lower than without IRA, and well below costs paid in 2019 ($50.2/MWh) and 2021 (~$61/MWh). The primary sources of cost savings are reduced wholesale energy prices, lower costs to meet state clean energy policy goals (due to federal subsidies), and growing demand (which spreads fixed costs over more MWh). While IRA puts the PJM region on a path to lower-cost electricity and lower greenhouse gas emissions, the new federal policy is not sufficient to drive deep decarbonization of the PJM interconnection on its own. Fortunately, by subsidizing the cost of all new carbon-free electricity resources, IRA also makes it cheaper and easier for PJM states to reduce emissions further while preserving affordability. Part 2 of this study presents a cost-optimized blueprint of the additional capacity investments and resource deployment required for the PJM region to deeply decarbonize over the 2023-2035 period. Specifically, we apply two stylized policy constraints and model the evolution of the PJM capacity mix and operations to meet those constraints: A clean electricity standard (CES) requiring increased shares of carbon-free electricity generation in the region (55% clean share by 2025, 70% by 2030, 85% by 2035), and; A CO2 emissions cap and trading scheme (cap & trade) requiring decreasing region-wide emissions (58% below 2005 emissions by 2025, 80% by 2030, 95% by 2035) This study finds that, due to passage of IRA, the PJM region could cut CO2 emissions from power generation by 80-90% by 2035 while keeping average bulk electricity supply costs for LSE’s comparable to or lower than levels experienced in recent years (2019 & 2021). However, deep decarbonization in the PJM region will require much more rapid expansion of low-carbon electricity resources and supportive transmission expansion above and beyond the rates of deployment made economical by IRA. By 2035, the region will also likely deploy more advanced ‘clean firm’ resources like gas power plants with carbon capture and storage (CCS) or long-duration electricity storage technologies (LDS), to replace coal- and gas-fired power capacity. We also identify and map several affordable resource portfolios and spatial patterns for clean electricity resource siting across the PJM region, demonstrating that the region has some flexibility to address local priorities and concerns.

In light of the escalating economic influence of Small and Medium-sized Enterprises (SMEs), the intricate interplay of sustainability, innovation, and export performance assumes paramount significance. This study focuses on French SMEs in the Auvergne-Rhône-Alpes (ARA) region, exploring the relatively uncharted territory of a synergistic approach to sustainability and innovation. Through a 2022-2023 field survey of 290 SMEs, employing Ordinary Least Squares (OLS) and Two-Stage Least Squares (2SLS) regression models, the research investigates the potential enhancement of export performance through this synergistic approach. The study reveals a positive impact, emphasizing the significance of sustainability certifications (EUR 24,416 additional export turnover per certification), R&D investment (EUR 1.38 boost per euro invested), and environmental patents (EUR 64,439 per patent). Qualitative insights enrich the understanding of challenges and opportunities, especially in terms of environmental footprint reduction. The findings underscore the need for prioritizing sustainability and innovation by French SMEs to thrive in export markets, with implications for policymakers in designing initiatives. In conclusion, this research offers a comprehensive framework for understanding the dynamics between sustainability, innovation, and export performance, providing practical guidance for SMEs and a methodological foundation for future regional research.

China has promised to reduce nation’s carbon dioxide emissions in 2020 by at least 40% of its 2005 levels. This paper proposes that interregional industrial shifts might enable China to meet this goal. A Dorfman-Samuelson-Solow model is presented by using an environmental multiregional input-output table of China in a linear programming format and at given national carbon targets, with aim of maximizing national GDP, under constrains for both demand-supply balance and energy-use change within practical limits. In each province, excluding the energy preserved in the secondary energy, final consumption of 39 manufacturing commodities accounted by bottom-up and top-down methods, final consumption of other sectors, energy transition and loss are calculated by converting 20 energy types into carbon emissions. The model suggests that moving the energy and heavy industries out of China’s North Coast would help considerably, GDP losses could be counteracted by raising the output of high-tech industries in the South Coast and of selected services across most of China’s regions. Moreover, adjusting the energy mix toward cleaner resources would alleviate some pressure to reduce carbon emissions of heavy industry throughout China and of the energy industry in Central China. Superseded by a newer version.

In Eastern Europe countries, including Ukraine, a significant part of the buildings belongs to the mass development of the 80s, which are characterized by a low level of energy efficiency. For such countries with sharply continental climates, heating costs prevail to a large extent. Improved thermal protection forces more attention to be paid to heat losses with ventilation. The distribution of air exchange between individual rooms is difficult to determine, especially due to natural ventilation. The work is devoted to considering the conditions of natural convection and determining the effect on the energy consumption of a building. The article considers the advanced ASHRAE technique for calculating natural air exchange. The influence of the temperature and wind characteristics of the outdoor air on the natural component of the air exchange rate at the different locations of the representative rooms of an 8-story building is analyzed. The value of the air exchange rate for typical conditions of Kiev does not exceed 0.25 h-1, 0.65 h-1 and 0.4 h-1 for two-chamber and single-chamber double-glazed windows, triple glazing in wooden double binders, respectively. On the first floors, air exchange is associated with air infiltration, and on the last floors there is exfiltration, which must be taken into account when dynamically modeling the energy characteristics of a building. The example is with additional mechanical ventilation to maintain a comfortable environment. 5R1C dynamic grid models were created to study the energy performance of the building. The estimate of additional heating costs due to infiltration is 23 % for the North and 43 % for the South orientation of rooms with two-chamber energy-saving windows. It has been established that in dynamics, the energy consumption of a building with normative air exchange and the calculated value of the natural component differs by 50–75 %, which is a possible level of savings under actual air exchange conditions in comparison with standard ones. This savings can be reduced by increasing air exchange during busy hours, for example, due to additional aeration. В странах Восточной Европы, в том числе Украине, значительная часть зданий относится к массовой застройке 80-х годов, для которых характерен низкий уровень энергоэффективности. Для таких стран с резко континентальным климатом в значительной степени превалируют расходы на отопление. Улучшение тепловой защиты заставляет больше внимания уделять тепловым потерям с вентиляцией. Распределение воздухообмена между отдельными помещениями достаточно трудно определить, особенно за счет естественной вентиляции. Работа посвящена рассмотрению условий естественной конвекции и определению влияния на энергопотребление здания. В статье рассмотрена усовершенствованная методика ASHRAE для расчета естественного воздухообмена. Проанализировано влияние температуры и ветровых характеристик наружного воздуха на естественную составляющую кратности воздухообмена при различном расположении репрезентативных помещений 8-ми этажного здания. Значение кратности воздухообмена для типичных условий Киева не превышает 0.25 ч-1, 0.65 ч-1 и 0.4 ч-1 для двухкамерный и однокамерных стеклопакетов, тройного остекления в деревянных спаренных переплетах, соответственно. На первых этажах воздухообмен связан с инфильтрацией воздуха, а на последних - присутствует эксфильтрация, что нужно учитывать при динамическом моделировании энергетических характеристик здания. Например, при дополнительной механической вентиляции для поддержания комфортных условий. Созданы динамические сеточные модели 5R1C для исследования энергетического состояния здания. Оценка дополнительных расходов на отопление за счет инфильтрации составляет 23% для северной и 43% для южной ориентации помещений с двухкамерными энергосберегающими окнами. Установлено, что в динамике энергопотребление здания при нормативном воздухообмене и рассчитанном значении природной составляющей отличается на 50-75%, что является возможным уровнем экономии при фактических условиях воздухообмена в сравнение с нормативными. Эта экономия может уменьшиться за счет увеличения воздухообмена в часы занятости, например, за счет проветривания.

Nowadays climate change event and poor population vulnerability become more severe and natural resources scarcity intensity increased. In order to mitigate climate change negative effects adaptive policies such as poverty reduction Strategy and National Adaptation Plan of Action (NAPA) as effective’s responsive strategies. There are also farmers traditional adaptation methods which are consider as local mainstreaming climate change adaptation framework. This paper has explore subjective qualitative evaluation of climate change risk management framework strategic and link its with poverty reduction strategy in the Sahel .Sahel is one of the most vulnerable areas in the world with lower HDI(0.2%) and have the highest poverty rate (over 45% of the people live below the poverty line). The study was focused on 9 Sahel countries (Senegal, Mauritania, Mali, Niger, Burkina-Faso, Nigeria, Chad, Soudan and Eritrea) and their Poverty Reduction Strategy Papers (PRSP) and National Adaptation Programmes of Action (NAPA) by assessing criteria such as: a) the consideration of climate change scenarios and the vulnerabilities of the country; b) the analysis of poverty-climate links; and c) the climate change institutional framework of the country. However Soudan and Eritrea don’t have PRSP and Nigeria don’t have NAPA. The results show that most Sahel countries does not included Climate change 2 effect in their PRSP (except Burkina-Faso) but have a better performance with NAPA framework elaboration. Burkina-Faso is Climate risk management model country in the region but policies have failed because of farmer’s difficult conditions to get access to credit and lack of good technical supports. NAPA and PRSP objectives did not achieved because majority of poor were excluded, inefficiency in domestic accounting systems and inefficient monitoring. Furthermore, donors funding problems, natural disasters such as floods or droughts; biophysical modeling and simulation insufficient data, lack of skilled labor are others reason. To conclude, it is illustrates that mainstreaming natural hazards into PRSP and the development of NAPA are a step forward into establishment of institutional process to incorporate climate change into national policies. The World Bank and the UNFCCC should coordinate efforts to support developing countries in their efforts to incorporate adaptation to climate change in PRSP. Country need to strength the coordination, networks and information flows between ministries, at different levels of government and civil society to have more efficient integration of climate change variables into poverty reduction and development strategies. Country's should also have sustainable funding and should not rely only on donor. Policies should target more vulnerable peoples, need good policies implementation and good monitoring.

The CLEWS analysis in the Philippines identifies the current energy mix, fossil fuel dependency, renewable energy potential, land use implications, environmental impact, and provides policy recommendations for achieving sustainable energy goals.