Context Of Global Warming Research Articles

Assessment of Changes in Agroclimatic Resources of the Republic of Bashkortostan (Russia) under the Context of Global Warming

The process of climate warming significantly affects agroclimatic resources and agricultural production. We study the agroclimatic resources and their variability on the territory of the Republic of Bashkortostan (Russia). The Bashkortostan has a high agricultural potential and holds a leading position in the country in the production of grain crops, potatoes, milk, and honey. Currently, no detailed studies have been conducted for this area to assess the effects of global climate change on agro-climatic resources. World experience shows such research becomes strategically important for regions with powerful agricultural production. We used the sums of average daily air temperatures above 0 and 10 °C, the G.T. Selyaninov hydrothermal coefficient, and the Ped aridity (humidification) index as agroclimatic indicators. We used data of long-term meteorological observations of 30 meteorological stations for the period of 1961–2020. We revealed the long-term dynamics of the agroclimatic indicators and the spatial and temporal regularities in their distribution on the territory of Bashkortostan. There is a steady increase in the sums of average daily air temperatures above 0 and 10 °C. Against this background, aridity increases, which is especially manifested in the southern parts of the Republic of Bashkortostan. We assessed the impact of agroclimatic indicators on the main types of agricultural crops in the republic. We revealed that the greatest positive impact on the yield of oilseeds, cereals, and industrial crops is made by precipitation at the beginning (r = 0.50, r = 0.44, and r = 0.52, respectively) and in the middle of the growing season (r = 0.55, r = 0.76, and r = 0.51, respectively). Temperature and precipitation during the growing season have a complex effect on cereals. This is proven by correlations with HCS and the Ped index (r = 0.45 and r = −0.56, respectively). Aridity at the beginning of the growing season affects the yield of oilseeds and potatoes. This is confirmed by correlations with the Ped index (r = −0.49 and r = −0.52, respectively). In general, the aridity of the growing season has a significant impact on the yield of cereals (r = −0.57). Negative relationships have been found between the air temperature growing season and the yield of potatoes (r = −0.50) and cereals (r = −0.53). The results of the study were compared with data from the Copernicus Climate Change Service database. We identified climate trends under RCP 2.6, RCP 4.5, RCP 6.0, and RCP 8.5 scenarios. These scenarios should be taken into account when developing plans for the adaptation of agriculture in the Republic of Bashkortostan to changes in the regional climate. Maximum decrease in precipitation is established for the RCP 6.0 scenario. This can have an extremely negative impact on crop yields. This problem is especially relevant for the southern part of the Republic of Bashkortostan. The information presented in the study will allow for a more effective adaptation of the agricultural sector to current and future climate changes.

Optimization and assessment of solar-assisted cooling systems: A multicriteria framework and comparative study

In the current context of global warming, where district cooling systems are increasingly burdening power grids worldwide, it is important to design and operate alternative systems that are not only environmentally friendly, but also cost effective for sustainable energy transition. This paper investigates the potential of two, previously unexplored, solar cooling systems while considering economic and environmental criteria: a Solar Thermal and Electrical Cooling System (STECS) that relies solely on solar energy, offering a significant environmental advantage, and a Hybrid Solar Cooling System (HSCS) that combines a compression chiller and an absorption chiller for improved efficiency. First, novel Mixed-Integer Linear Programming models are proposed to aid in generating cost-effective designs and operations for each of STECS and HSCS. Second, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is adapted to evaluate both systems and benchmark them against conventional cooling systems previously studied in the literature. The proposed framework allows decision makers to assess the potential of these systems using three criteria; namely, cost, carbon dioxide emissions, and noise levels, which are crucial for ensuring the social acceptance of district cooling technologies worldwide. A computational study is presented to show the practical relevance of the proposed framework using real-demand data obtained from an educational district in the State of Qatar. Results show that the integration of solar energy into conventional cooling systems has the potential to significantly reduce the annual total net cost by 61%, CO2 emissions by 60%, and noise levels by 53%, on average. Additionally, the benchmark results demonstrate that the zero-carbon dioxide emissions solar cooling system achieves the highest overall performance score when all criteria are considered together.

Multivariate time series convolutional neural networks for long-term agricultural drought prediction under global warming

Agricultural drought (AD) is disastrous to crop production and plant growth. The prediction of AD with sufficient lead time is helpful for developing agricultural water strategy, particularly under the context of global warming. However, the previous studies mainly focused on short lead times (1–6 months) and only used 3 or less variables to predict AD through copula models. In this study, a novel multivariate time series convolutional neural network (T-CNN) is developed to predict AD with long lead times based on multiple meteorological variables. To demonstrate its feasibility and novelty, T-CNN is used in the Aral Sea Basin (ASB) where agricultural production is dominant. Three global climate models (GCMs) and three shared socioeconomic pathways (SSPs) from CMIP6 are considered during 2026–2100. Results indicate that (1) precipitation, temperature, potential evapotranspiration, relative humidity and northward wind are significantly correlated with AD, and are selected as the predictors of AD; (2) compared with the conventional CNN and convolutional long short-term memory (ConvLSTM), T-CNN’s performance is better, taking only about 10% of the computation time of ConvLSTM; (3) T-CNN can effectively extract the spatiotemporal characteristics of meteorological predictors and reproduce AD, showing high correlation coefficients (R>0.9) for 92.5% of the grids across ASB; (4) the result of simple model averaging (SMA) is better than other GCMs, indicating that the spatial differences in AD would become more pronounced with increasing time and emission level; (5) compared with the historical period, under SSP585, the extreme drought would increase 0.20 months/year (2026–2050), 0.23 months/year (2051–2075) and 0.28 months/year (2076–2100). The results highlight the spatiotemporal variation of AD in 21st century with a high resolution (0.1°×0.1°), which can provide scientific support for agricultural water management and long-term drought prevention in ASB.

Millets: The Nourishing Solution to Food Security Challenges Over Cereal-Based Cropping Systems

A heightened emphasis on augmenting millet production and accentuating their nutritional benefits is pivotal in mitigating reliance on conventional crops, fostering dietary diversity, and enhancing food security, particularly in times of natural calamities when food scarcity is prevalent. The United Nations General Assembly has designated the year 2023 as the International Year of Millet. Millets hailed as 'superfoods,' boast high levels of protein, fibre, vitamins, and minerals. India stands as a major contributor, producing 80% of Asia's millets and 20% globally, as reported by the Ministry of Agriculture and Farmers Welfare. Statistics reveal that over 90 million individuals in Africa and Asia incorporate millets into their diets, with Africa accounting for more than 55% of global production, followed by Asia at nearly 40%, while Europe constitutes approximately three per cent of the worldwide market. Specifically in India, West Bengal adheres to a predominantly monocultural cropping system, predominantly focused on rice. Monoculture systems are highly susceptible to blights and pests due to their lack of diversity, leading to reduced soil fertility and compromised soil structure. Cultivating millets not only offers a viable solution by diminishing reliance on synthetic fertilizers and pesticides but also facilitates a transition towards sustainable agriculture. This involves diversifying crop rotations and steering clear of the pitfalls associated with mono-cropping systems. Introducing various millet types into cropping systems can significantly enhance food security. Each millet variant possesses unique qualities that enable them to withstand extreme climatic conditions, making them particularly relevant as adaptive measures in the current context of global warming and climate change issues.

Two-phase hydrological changes during the mid-to late Holocene transition in Southwest China

The Indian summer monsoon (ISM) rainfall feeds a vast majority of the densely populated Asian continent. A deep understanding of the ISM rainfall variations and the underlying driving mechanisms during the Holocene is essential to predict its future behaviors and formulate improved mitigating strategies under the context of global warming. It has been widely recognized that the ISM intensity declined from the early to late Holocene, with a mid-to late Holocene transition. However, the nature of hydrological changes during this critical transition still remains vague. In this study, hydrological changes in Southwest China during the mid-to late Holocene transition are reconstructed based on the molecular and compound-specific carbon and hydrogen isotopic compositions of leaf waxes (δ13C and δD of n-alkanes) from the Yanjiang peat deposit in western Yunnan. Results reveal two-phase changes of hydroclimate during the mid-to late Holocene transition in Southwest China. During the first phase (5.5–4.2 cal kyr BP), Southwest China experienced an abrupt drying as indicated by the pronounced increases in both δ13C and δD values of the C29n-alkane (δ13CC29 and δDC29) by 2.2% and 26‰, respectively. The second phase (4.2–2.6 cal kyr BP) witnessed shortening in the duration of the ISM season without further aridification, as demonstrated by an increase up to 35‰ in the δDC29 values and moderate oscillations in the δ13CC29 values. Such a two-phase hydrological transition is likely to have been triggered by the changes in the summer solar insolation and amplified by the ocean-atmosphere interactions. The first phase is primarily modulated by the positive Indian Ocean Dipole mean state, while the second phase is mainly linked with a more El Niño-like mean state over the Pacific Ocean.

Remote Sensing applications for effective fire disaster management plans: A review

The current context of climate change and imminent global warming is leading to changes in temperature and rainfall patterns worldwide which affect soil moisture, vegetation and soil conditions, the incidence of dry and wet events, and consequently, the occurrence, intensity, and magnitude of fires. Fires harm people’s quality of life as they can disrupt economic activities and affect public health. Additionally, fires damage the environment, accelerating water and wind erosion processes, altering air quality, and contributing to ecosystem degradation. Pampas in Argentina was selected as an example to study fires at a regional scale using Remote Sensing techniques due to its status as one of the most fertile plains in the world and the country’s most densely populated area. The fires are carefully analyzed and described considering three stages: i) pre-fires, ii) fires, and iii) post-fires. Afterwards, fire disaster management plans are described to assess these events, reduce their impacts on society and biodiversity, and minimize the ecosystems’ recovery time. In this sense, this manuscript aims to review the relationships between climate change, global warming, and the occurrence of fires. Additionally, it proposes to analyze the potential of Remote Sensing in analyzing these events at a regional scale to provide the mechanisms and tools necessary for formulating fire disaster management plans.

Remote Sensing applications for effective fire disaster management plans: A review

The current context of climate change and imminent global warming is leading to changes in temperature and rainfall patterns worldwide which affect soil moisture, vegetation and soil conditions, the incidence of dry and wet events, and consequently, the occurrence, intensity, and magnitude of fires. Fires harm people’s quality of life as they can disrupt economic activities and affect public health. Additionally, fires damage the environment, accelerating water and wind erosion processes, altering air quality, and contributing to ecosystem degradation. Pampas in Argentina was selected as an example to study fires at a regional scale using Remote Sensing techniques due to its status as one of the most fertile plains in the world and the country’s most densely populated area. The fires are carefully analyzed and described considering three stages: i) pre-fires, ii) fires, and iii) post-fires. Afterwards, fire disaster management plans are described to assess these events, reduce their impacts on society and biodiversity, and minimize the ecosystems’ recovery time. In this sense, this manuscript aims to review the relationships between climate change, global warming, and the occurrence of fires. Additionally, it proposes to analyze the potential of Remote Sensing in analyzing these events at a regional scale to provide the mechanisms and tools necessary for formulating fire disaster management plans.

Construction of a Z-scheme heterojunction photocatalyst with oxygen vacancies using cobalt–alumina-layered double hydroxide dispersed between bismuth oxybromide layers for efficient photocatalytic reduction of carbon dioxide

Under the context of energy shortages and global warming, the photocatalytic reduction of carbon dioxide (CO2) to carbon monoxide (CO) using simulated sunlight has attracted considerable research attention. Herein, three-dimensional (3D) Z-scheme cobalt–alumina-layered double hydroxide/bismuth oxybromide (CoAl-layered double hydroxide (LDH)/BiOBr) heterojunction photocatalysts with oxygen vacancies were constructed by intercalating two-dimensional CoAl-LDH between BiOBr layers in the mechanical mixing. The conversion of CO2 in the water phase was greatly improved compared to CoAl-LDH/BiOBr under 300-W xenon light. The transformation efficiency of 23.62 μmol⋅g−1⋅h−1 for CoAl-LDH/BiOBr-10 (CBO-10) is 2.96 and 8.34 times that of pure BiOBr and CoAl-LDH, respectively, with CO selectivity in the obtained products reaching as high as 95 %. Furthermore, CBO-10 catalysts exhibited outstanding stability in terms of structure and catalytic performance. The construction of Z-scheme heterojunctions and oxygen vacancies enlarges the photoresponse range of the BiOBr catalyst while reducing the photoelectron–hole recombination efficiency. The unique 3D structure offers more Z-scheme heterojunction interfaces for the separation and transfer of electrons between CoAl-LDH and BiOBr during photoreaction. This study is expected to guide the development of new high-performance photocatalysts and the selective regulation of reduction products.

A Bibliometric Analysis of the Research Progress and Trends during 2002–2022 on the Carbon Stocks in Terrestrial Ecosystems

Improving the carbon storage in terrestrial ecosystems can effectively reduce atmospheric CO2, which is one of the important ways of mitigating global climate change. The knowledge on terrestrial carbon stock research is relatively mature in the international community; however, the research pulse, hotspots, and trends in terrestrial ecosystems carbon stock research are not clear. To better understand the research focus and developmental directions of terrestrial ecosystems’ carbon storage, we conducted a bibliometric analysis of 6305 research articles between 2002 and 2022, which were gathered from the Web of Science Core Database. The temporal distribution, country/region distribution, co-citation network, keyword evolution and clustering, journals, and authors of the literature were analyzed, and the knowledge domain was mapped using the CiteSpace visualization software. This study established the following three observations: (1) The number of publications on carbon stock research in terrestrial ecosystems continues to expand, and the trend in the number of publications proves that carbon sinks in terrestrial systems remain an important research topic internationally. (2) Important issues concerning terrestrial ecosystem carbon stock research have evolved from monitoring the carbon stock changes in terrestrial ecosystems to the mechanism of carbon stock formation for the realization of monitoring and management under global climate change. Furthermore, the research methodology has evolved from small-scale, fixed-point instrumental observations to large-scale remote sensing and model simulations, with diversifications in research content and methodology. (3) In the future, academic research on carbon stocks in terrestrial ecosystems will focus more on international and interdisciplinary cooperations, increasing the intensity in surveying and monitoring carbon stocks in terrestrial ecosystems, and realizing the accurate monitoring, assessment, management, and enhancement of carbon stocks from the integrated carbon stock computation system for “sky, air, and land.” The results of this study comprehensively demonstrate the current status and development of the research on carbon stocks in terrestrial ecosystems worldwide, and provide a reference for future research on the sustainable management of terrestrial ecosystems within the context of global warming.

Century‐long variations of growing‐season compound dry–hot extremes and their links with large‐scale climate patterns in China

AbstractIn the context of global warming, the increasing frequency of compound dry–hot extremes pose varying degrees of threats to the natural environment and human society. However, due to the lack of long‐term and high‐accuracy meteorological observations, the characteristics and drivers of compound dry–hot extremes over a century‐long period is still poorly investigated in China. Here we characterize the spatiotemporal variations of growing‐season (May–September) compound dry–hot events (CDHEs) over China using Standardized Dry and Hot Index (SDHI) calculated by monthly temperature and precipitation during 1901–2017. The influences of precipitation and temperature extremes, as well as large‐scale climate indices (i.e., El Niño–Southern Oscillation Index [ENSO], Atlantic Multidecadal Oscillation [AMO], North Atlantic Oscillation [NAO], Pacific Decadal Oscillation [PDO] and North Pacific [NP]) on CDHEs were then explored using the relative contribution analysis, Pearson correlation analysis and cross‐wavelet spectrum analysis. Our findings reveal a significant increase in the occurrence of different severity levels of CDHEs in China with their spatial extent gradually increase, practically since the end of the 20th century. Due to the exacerbation of drought conditions in China since the mid‐20th century, the regions where the Standardized Precipitation Index (SPI) has a more prominent contribution to the SDHI have gradually expanded, predominantly in the eastern, northern and northwestern parts of China. The significant influence of large‐scale climate indices, particularly ENSO and AMO, on the occurrence of compound dry–hot extremes in China is noteworthy, as these indices control the variability of precipitation and temperature, respectively. The study findings demonstrate that AMO exhibits a more significant correlation with SDHI in all subregions of China, while ENSO exhibits marginally stronger periodic coherence with SDHI than the other indices. This study offers valuable insights and references for unravelling long‐term development process of and the underlying influence mechanisms of significant climate patterns on the growing‐season CDHEs in China.

Thermal conditioning of quail embryos has transgenerational and reversible long-term effects

BackgroundIn the current context of global warming, thermal manipulation of avian embryos has received increasing attention as a strategy to promote heat tolerance in avian species by simply increasing the egg incubation temperature. However, because of their likely epigenetic origin, thermal manipulation effects may last more than one generation with consequences for the poultry industry. In this work, a multigenerational and transgenerational analysis of thermal manipulation during embryogenesis was performed to uncover the long-term effects of such procedure.ResultsThermal manipulation repeated during 4 generations had an effect on hatchability, body weight, and weight of eggs laid in Japanese quails, with some effects increasing in importance over generations. Moreover, the effects on body weight and egg weight could be transmitted transgenerationally, suggesting non-genetic inheritance mechanisms. This hypothesis is reinforced by the observed reversion of the effect on growth after five unexposed generations. Interestingly, a beneficial effect of thermal manipulation on heat tolerance was observed a few days after hatching, but this effect was not transgenerational.ConclusionsOur multigenerational study showed that thermal conditioning of quail embryos has a beneficial effect on post-hatch heat tolerance hampered by transgenerational but reversible defects on growth. Assuming that no genetic variability underlies these changes, this study provides the first demonstration of epigenetic inheritance of traits induced by environmental temperature modification associated with long-term impacts in an avian species.

Effect of the incorporation of an excavated earth fine grained fraction in cementitious mixes

In the current context of global warming, valorisation of waste materials is becoming a key issue in the cement and concrete industries. This research focuses on the effect of the incorporation of an excavated earth fine-grained fraction (< 63 μm) in cement mixes and its contribution to the cement hydration mechanisms which are mainly coming from the Paris region of France. This fine-grained fraction results from a washing and mechanical sorting of grains process for excavated earth. The omnipresence of gypsum in the subsoil of the Paris region, due to its geological context, is reflected in the fine-grained fraction with the presence of sulphates. Moreover, the fine-grained fraction is also composed of quartz, calcium carbonates and clay phases. The tests have been performed on cement pastes composed of a blast furnace slag cement and the fine-grained fraction as a sludge with its inherent humidity. Pastes with different sludge contents leading to different water-cement ratios (0.5, 0.7 and 0.8) have been studied. The impact of the incorporation of the fine particles and the water contained in the sludge on the rheology and the hydration of the cement pastes has been evaluated using water demand tests, thermogravimetric analysis and isothermal calorimetry. Results indicate that the incorporation of sludge in cementitious mixes increases the water demand, accelerates the hydration reactions and contributes to the formation of additional hydrate phases probably associated with the presence of gypsum in the studied sludge.

To what extent does decreasing the proportion of clinker in cement production effectively decrease its carbon footprint?

The current context of global warming requires urgent action to reduce carbon emissions from all industries, including the concrete production. To meet this challenge, the European cement standard, EN 197–5, has been implemented to introduce CEM II/C-M low-carbon Portland cements incorporating a higher percentage of mineral additions (up to 50%), and a new family CEM VI cements with a very low clinker content, ranging from 35 to 49%. This work focuses on these new cements, mainly ternary mixtures based on clinker, slag and limestone filler for high clinker replacement rates. This choice is based on the exploitation of the synergy between limestone and mineral additions containing aluminates which has been established in the literature. This study is focused on concretes based on these new ternary clinker-slag-limestone cements, to compare them with existing binary cements in terms of durability with respect to corrosion induced by carbonation. Two main tests were performed: accelerated carbonation that reveals corrosion initiation time, and electrical resistivity that provides insights into corrosion propagation time. Additional microstructural characterization was also carried out to understand the link between the macroscopic durability properties and the microstructure. A service life prediction model was used to quantify the service life of the concrete cover from material properties. Concretes were then compared on the basis of two carbon efficiency indicators corresponding respectively to the carbon cost of 1 MPa and one year of service life. Opposite trends are observed on the carbonation resistance and electrical resistivity. Good durability can be expected for low carbon cements, as they have high electrical resistivity and therefore a long corrosion propagation time, despite their relatively low carbonation resistance,. The carbon footprint indicator related to service life is more relevant than the one related to mechanical performance since it takes into account an important function of concrete which is durability.

Study on the Adaptability of some Sorghum Hybrids in the Pedoclimatic Conditions of Jucu, Cluj County

In the current context of global warming, the sustainable development of agriculture can be achieved by expanding the areas cultivated with drought-tolerant plants with high production potential. Sorghum caryopsis, to be intended for human consumption and animal feed, must be free of phytopathogenic agents and meet a series of essential quality conditions. Unfortunately, in unfavourable storage conditions (too high temperature and humidity), caryopsis is attacked by a wide spectrum of pathogens (Fusarium, Alternaria).&#x0D; In this context, the aim of our study is to evaluate the adaptability and productive potential of six sorghum hybrids, identification of pathogens presents on sorghum caryopsis, their quality indices, as well as mycotoxin content. From the data obtained from the notes, observations and analyzes carried out, we can conclude that the percentage of sick caryopses was high in all the hybrids analysed, the microorganisms identified on the caryopses belonged to the genus Fusarium and Alternaria and the mycotoxin content was very low in all the hybrids analysed. This research highlighted the importance of Sorghum which becomes an alternative because it needs only half of the rainfall required by corn (it succeeds even when there is less than 350 mm annual rainfall), being able to replace the corn crop when there are conditions for a poor corn crop.

The Impacts Of COVID-19 Pandemic on Greenhouse Gas Emissions and Climate Change

The outbreak of COVID-19 in 2020 has brought enormous damage to human life and health and socioeconomic development. Yet, the influence of COVID-19 outbreak on the environment within the context of global warming has not been fully understood. Detailed and accurate explanation for the relationship between COVID-19 and economy, carbon emissions, and methane emissions remains a challenge. This study aims to highlight the significant impact of the COVID-19 pandemic on greenhouse gas emissions and climate change through a systematic literature review and comprehensive analysis of data from the U.S., China, Canada, and 27 European countries. To clarify the impact of COVID-19 on climate, the study outlines changes in carbon dioxide emissions by comparing data from pre-pandemic, during-pandemic, and post-pandemic (projected) scenarios. The correlation among carbon dioxide, temperature, GDP, and Population in countries is further examined with different levels of development using Pearson's Linear Correlation analysis and significance test. This study will potentially provide insights into future preparation and management of the impact of global emergency disaster emergencies.

Record-breaking 2020 summer marine heatwaves in the western North Pacific

Record-breaking marine heatwaves (MHWs) occurred in the western North Pacific during the summer of 2020. These unprecedented MHWs were consistent with favorable large-scale conditions that are linked to an anomalous western North Pacific subtropical high (WNPSH), resulting mainly from sea surface temperature (SST) anomalies across the tropical oceans. In addition, a moderate La Niña-like pattern was also conducive to transporting warm seawater to the western North Pacific. Mixed-layer heat budgets suggest that surface heat flux contributed to the SST anomaly in the western subtropical Pacific. In contrast, oceanic heat advection dominanted in the South China Sea and the western equatorial Pacific. Numerical model experiments indicated that the tropical Indian Ocean SST anomalies were responsible for the enhanced WNPSH. The increased zonal SST gradient across the tropical Pacific also played an important role. Inter-ocean interactions can modulate climate variability through ocean-atmospheric coupling and deserve more attention when predicting MHWs within the context of global warming. In addition, it is critical to consider MHWs as a powerful tool in detecting acute, intense thermal stress events in the coral bleaching pre-warning system.

Elevated temperature induces contrasting transformation of exogenous copper to soil solution and solid phases in an arable soil

Heavy metal contamination of soils has been a global environmental issue over the past decades, threatening food security and human health. Understanding the migration and transformation of heavy metals in soils is critical for restoring an impaired environment and developing sustainable agriculture, particularly in the face of global warming. However, little effort has been devoted to investigating the impact of elevated temperatures on the migration and distribution of exogenous heavy metals in soils. This study experimented with a 180-day incubation at 15 °C, 30 °C, and 45 °C with an arable soil (Alfisol) of Huang-Huai-Hai River Basin, China, which was initially spiked with copper (Cu). A comparison of the results revealed that the percentage of soil water-soluble Cu doubled at 45 °C compared with 15 °C. The percentage of protein-like substances in dissolved organic matter (DOM) was the highest at 45 °C, suggesting that proteinaceous components play a more significant role in controlling the dissolution of Cu into DOM. Moreover, by sequential extraction and micro-X-ray fluorescence (μ-XRF), Cu was facilitatively transformed from exchangeable, and specifically adsorbed fractions, to iron (Fe)/manganese (Mn) oxides bound species by 7.75%23.63% with the elevation of temperature from 15 °C to 45 °C. The conversion of Cu speciation is attributed to the significant release of organic carbon from Fe/Mn oxides, especially the Mn oxide components, which are available for Cu binding. The findings of this work will provide an in-depth understanding of the fate of Cu in soils, which is fundamental for the risk assessment and remediation of Cu-polluted soils in the Huang-Huai-Hai River Basin under the context of global warming.

Upside down sulphate dynamics in a saline inland lake

The sulphur cycle has a key role on the fate of nutrients through its several interconnected reactions. Although sulphur cycling in aquatic ecosystems has been thoroughly studied since the early 70’s, its characterisation in saline endorheic lakes still deserves further exploration. Gallocanta Lake (NE Spain) is an ephemeral saline inland lake whose main sulphate source is found on the lake bed minerals and leads to dissolved sulphate concentrations higher than those of seawater. An integrative study including geochemical and isotopic characterization of surface water, porewater and sediment has been performed to address how sulphur cycling is constrained by the geological background. In freshwater and marine environments, sulphate concentration decreases with depth are commonly associated with bacterial sulphate reduction (BSR). However, in Gallocanta Lake sulphate concentrations in porewater increase from 60 mM at the water–sediment interface to 230 mM at 25 cm depth. This extreme increase could be caused by dissolution of the sulphate rich mineral epsomite (MgSO4·7H2O). Sulphur isotopic data was used to validate this hypothesis and demonstrate the occurrence of BSR near the water–sediment interface. This dynamic prevents methane production and release from the anoxic sediment, which is advantageous in the current context of global warming. These results underline that geological context should be considered in future biogeochemical studies of inland lakes with higher potential availability of electron acceptors in the lake bed compared to the water column.

Greenhouse gas emissions and peak trend of commercial vehicles in China

Commercial vehicles are important within the context of global warming, since they exhibit greenhouse gas (GHG) emissions that are disproportionate to their quantity. The aim of this study was to create a bottom-up GHG emissions assessment model which considers GHG emissions of newly produced commercial vehicles and those in current use. Through this study, the number of future commercial vehicles were predicted, thereby facilitating a simulation of future GHG emissions. Our results show that the total GHG emissions of commercial vehicles in 2019 was 580 million t CO2-eq.. Among them, the GHG emissions stemming from the production of new commercial vehicles accounted for ∼0.3% of the emissions, whereas the use stage accounted for more than 99.0%. Moreover, the future ownership of commercial vehicles depends on GDP and the demand of freight and passenger transport. The ownership of commercial vehicles was predicted about 36.61 million in 2025, 45.44 million in 2030 and 55.85 million in 2035. The carbon peak of commercial vehicles varies across different scenarios, peaking around 2031–2034, at 680–780 million t CO2-eq.. This study systematically simulated the carbon peak of commercial vehicles, contributing toward a deeper understanding of commercial vehicles within the context of GHG emissions. These results can be applied toward creating quantitatively-driven pathways for carbon peak or neutrality targets in the commercial vehicle sector.

Carbon Emission and Economic Growth within the context of global warming

As the global community converges upon the imperative of sustainability and the overarching objective of attaining net-zero carbon emissions, understanding nuanced interrelationships in environmental economics becomes paramount. By comprehending the connection between carbon emissions and economic growth, economies may implement sustainable energy policies and develop energy resources. The main objective of this study is to give a broad overview of the relationship between CO2 emissions and economic development in different countries. Within the framework of this study, historical data have been meticulously collected during the past three decades (1990-2020). The analysis scrutinizes prominent trajectories of GDP and carbon emissions for a cohort of representative nations spanning recent decades, stratifying them in accordance with their stipulated net-carbon emission benchmarks. The denouement of the article accentuates the symbiotic interplay between carbon emissions and economic ascension, proffering sagacious objectives for sovereign entities to contemplate.