Environmental Research Communications最新文献_第8页

The Relationship between Urbanization, Energy Consumption, Economic Growth, and Carbon Dioxide Emissions in Middle Eastern Countries: Jordan, Saudi Arabia and Egypt 中东国家城市化、能源消耗、经济增长与二氧化碳排放之间的关系：约旦、沙特阿拉伯和埃及

IF 2.9 4区环境科学与生态学

Environmental Research Communications Pub Date : 2024-06-12 DOI: 10.1088/2515-7620/ad5791

Abdulaziz Aldegheishem

{"title":"The Relationship between Urbanization, Energy Consumption, Economic Growth, and Carbon Dioxide Emissions in Middle Eastern Countries: Jordan, Saudi Arabia and Egypt","authors":"Abdulaziz Aldegheishem","doi":"10.1088/2515-7620/ad5791","DOIUrl":"https://doi.org/10.1088/2515-7620/ad5791","url":null,"abstract":"\u0000 The Middle East region is a strategic driver of the global economy. However, ensuring environmental sustainability in the context of rapid urban and economic changes remains a major challenge for most Middle Eastern countries.Although researchers have widely examined factors affecting carbon dioxide emissions (CO2), little attention has been paid to the Middle Eastern countries. This study uses an ARDL model to examine the nexus between urbanization, energy consumption, economic growth, and CO2 emissions for three Middle Eastern countries, (Saudi Arabia, Egypt and Jordan) based on panel data for the period 1990 to 2023. Findings reveal that urbanization has had no significant impact on CO2 emissions in Egypt; this is not in line with the findings for Saudi Arabia and Jordan, where urbanization has reduced CO2 emissions in the long- and short-run, indicating that urban policies are well matched with environmental goals in both countries. However, empirical results indicate that energy consumption has had a positive effect on CO2 emissions in the long- and short-run in all three countries and economic growth has also had a positive impact on CO2 emissions. The fact that economic growth has been unable to mitigate CO2 emissions indicates a mismatch between economic policies and environmental goals. This article suggests a series of valuable insights for policymakers to reduce CO2 emissions.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141354009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Network mapping of climate change priorities in USA: golden cut bipolar q-ROFSs 美国气候变化优先事项网络图：黄金分割双极 q-ROFSs

IF 2.9 4区环境科学与生态学

Environmental Research Communications Pub Date : 2024-06-11 DOI: 10.1088/2515-7620/ad5700

H. Di̇nçer, Serhat Yüksel, A. Mikhaylov, Gabor Pinter, A. Grigorescu

引用次数: 0

Validation of the Environmental Kuznets Curve: Cases from Countries along the Belt and Road 环境库兹涅茨曲线的验证：一带一路 "沿线国家案例

IF 2.9 4区环境科学与生态学

Environmental Research Communications Pub Date : 2024-06-11 DOI: 10.1088/2515-7620/ad5701

Xiaocang Xu, Lei Lei, Lingyu Zhang

引用次数: 0

Contrasting temporal trends in low-level clouds and mid- and high-level clouds over the Indian Ocean in the last four decades (1979–2018) 过去四十年（1979-2018 年）印度洋上空低层云和中高层云的时间趋势对比

IF 2.9 4区环境科学与生态学

Environmental Research Communications Pub Date : 2024-06-11 DOI: 10.1088/2515-7620/ad5250

Jaswant Moher, Soumi Dutta, Vimlesh Pant and Sagnik Dey

{"title":"Contrasting temporal trends in low-level clouds and mid- and high-level clouds over the Indian Ocean in the last four decades (1979–2018)","authors":"Jaswant Moher, Soumi Dutta, Vimlesh Pant and Sagnik Dey","doi":"10.1088/2515-7620/ad5250","DOIUrl":"https://doi.org/10.1088/2515-7620/ad5250","url":null,"abstract":"Understanding the climatic trends in cloud fraction (fc) and its drivers is critical in climate science. Here, we analyzed 40 years (1979–2018) of hourly fc data at 0.25° × 0.25° spatial scale from ERA5 to examine the trends in the 3D distribution of fc over the oceanic region adjacent to the Indian Subcontinent in view of its drivers. We found that the mid-level fc (MCF) and high-level fc (HCF) have increased by 0.05 and 0.05–0.12 fraction in the last four decades in this region. On the contrary, the low-level fc (LCF) decreased by 0.04 fraction, resulting in a net marginal increase in total fc. The observed contrasting trends in LCF, MCF and HCF are manifestations of the changes in sea surface temperature and meteorological conditions. Although LCF showed a regionally averaged declining trend, it has increased over the south-southwestern part of the domain. The increasing trend of MCF and HCF can be attributed to the increase in natural convection due to surface warming. Our results suggest that the observed contrasting trends might have resulted in positive radiative feedback on the Indian Ocean warming.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141518609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Voluntary uptake of flood insurance in post-fire landscapes: Insights from household surveys after two wildfires in northern Arizona 火灾后景观中洪水保险的自愿购买：亚利桑那州北部两次野火后家庭调查的启示

IF 2.9 4区环境科学与生态学

Environmental Research Communications Pub Date : 2024-06-10 DOI: 10.1088/2515-7620/ad5647

Catrin M. Edgeley, Melanie M. Colavito, Nicolena vonHedemann, Jack T. Burnett

{"title":"Voluntary uptake of flood insurance in post-fire landscapes: Insights from household surveys after two wildfires in northern Arizona","authors":"Catrin M. Edgeley, Melanie M. Colavito, Nicolena vonHedemann, Jack T. Burnett","doi":"10.1088/2515-7620/ad5647","DOIUrl":"https://doi.org/10.1088/2515-7620/ad5647","url":null,"abstract":"\u0000 Wildfires can rapidly generate post-fire flood risk for downslope communities, complicating recovery and necessitating accelerated cross-boundary responses on both public and private lands. Flood insurance is one of a suite of efforts to minimize the social and financial impacts associated with post-fire flood events, but little is known about who purchases coverage after wildfires or their experiences with that policy. We provide an opportunistic contribution to this research gap by comparing data gathered via three mixed-mode household surveys conducted in areas with modeled flood risk after two wildfires in the greater Flagstaff, Arizona area. Two surveys were administered – one in 2011 and one in 2020 – after the 2010 Schultz Fire, which resulted in significant flooding, providing a longitudinal insight into insurance experiences. A third survey was administered in 2022 following flooding adjacent to the 2019 Museum Fire. Together, these surveys resulted in a total of 1,351 usable responses. We find that several groups are significantly less likely to purchase flood insurance, including residents who moved to their property after the studied fire event and renters. The reported cost of flood insurance among households affected by the Schultz Fire doubled over a 10-year period; those who no longer maintained coverage typically reported that they stopped renewing between 2-5 years after the fire. Second homeowners were more likely to report damages that were not covered by insurance. We provide recommendations for engaging residents in uptake, renewal, and use of flood insurance and conclude that there is an urgent need to better understand decision-making surrounding post-fire flood insurance to support more equitable recovery.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141364539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Agroforestry Mapping using Multi Temporal Hybrid CNN+LSTM Framework with Landsat 8 Satellite Imagery and Google Earth Engine 利用 Landsat 8 卫星图像和谷歌地球引擎的多时态混合 CNN+LSTM 框架绘制农林业地图

IF 2.9 4区环境科学与生态学

Environmental Research Communications Pub Date : 2024-06-05 DOI: 10.1088/2515-7620/ad549f

Jenila Vincent M, Varalakshmi P

{"title":"Agroforestry Mapping using Multi Temporal Hybrid CNN+LSTM Framework with Landsat 8 Satellite Imagery and Google Earth Engine","authors":"Jenila Vincent M, Varalakshmi P","doi":"10.1088/2515-7620/ad549f","DOIUrl":"https://doi.org/10.1088/2515-7620/ad549f","url":null,"abstract":"\u0000 Agroforestry is indeed a traditional practice followed in tropical countries like India. About 28.43 million hectare area is used for agroforest cultivation. By 2050 India has the mission of increasing the area under agroforestry to 53 million hectares. In this study, we have made an effort to map the agroforest areas using the geospatial tools and hybrid deep learning techniques. The land utilized for cultivation and various agroforestry activities such as rubber, tea, coconut, and banana plantation were classified as forest canopy by the existing classifiers taking the tree canopy density as a parameter. In light of proposing a solution to the issue, we have put forth a multi temporal hybrid deep learning framework which is a fusion of convolutional neural network, a deep neural net and long short term memory network to classify agroforestry distinguishing it from the forest canopy using remote sensing data. The experimentation was carried out in the southern districts of India, and Landsat 8 imagery was used to classify the agroforestry of the study area that includes tea, banana, rubber, coconut, and crop lands. An efficient multi temporal hybrid deep learning framework was designed to classify the agroforest plantation distinguishing it from crop lands and forest clusters. The experimental results of multi temporal hybrid CNN+LSTM outperformed CNN, LSTM, BiLSTM model reducing the error rate with respective accuracy and kappa score of 98.23% and 0.88. The proposed method provides a benchmark to accurately classify and estimate the LULC, particularly mapping the agroforest plantation for other regions across the country.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141382320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Characteristics of microplastics in tributaries of the upper Brahmaputra River along the Himalayan foothills, India 印度喜马拉雅山麓雅鲁藏布江上游支流中微塑料的特征

IF 2.9 4区环境科学与生态学

Environmental Research Communications Pub Date : 2024-06-05 DOI: 10.1088/2515-7620/ad54a2

Prasun Goswami, P. Bhadury

{"title":"Characteristics of microplastics in tributaries of the upper Brahmaputra River along the Himalayan foothills, India","authors":"Prasun Goswami, P. Bhadury","doi":"10.1088/2515-7620/ad54a2","DOIUrl":"https://doi.org/10.1088/2515-7620/ad54a2","url":null,"abstract":"\u0000 Microplastic (MP) pollution is a global concern, yet its presence in riverine environments has received limited research attention. This study aimed to evaluate MP levels and identify their potential sources in river surface water and nearby soil samples from two rural and remote rivers near the Jaldapara National Park in the foothills of Eastern Himalaya of India. The average MP levels in water and soil samples were 0.14±0.11 pieces/m3 and 633.33±124.72 pieces/kg d.w. respectively. The primary types of microplastics detected were fibres, followed by fragments, and films. MP sizes in water was larger than in soil samples. Blue, black, and red MPs were most abundant. Micro-Raman analysis revealed polyethylene was the dominant polymer type, followed by nylon, and polypropylene. Comparatively, pollution levels in the study area were relatively low when compared to other rivers worldwide. Understanding the sources and characteristics of microplastics is vital in formulating effective mitigation strategies and promoting responsible waste management practices. These findings provide valuable insights for policymakers, environmentalists, and local communities to implement measures that curb plastic waste and safeguard vulnerable riverine ecosystems from the adverse impacts of MP pollution.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141384775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep learning-based water quality index classification using stacked ensemble variational mode decomposition 利用堆叠集合变模分解进行基于深度学习的水质指数分类

IF 2.9 4区环境科学与生态学

Environmental Research Communications Pub Date : 2024-06-05 DOI: 10.1088/2515-7620/ad549e

Karpagam V, Christy S, M. Edeh

{"title":"Deep learning-based water quality index classification using stacked ensemble variational mode decomposition","authors":"Karpagam V, Christy S, M. Edeh","doi":"10.1088/2515-7620/ad549e","DOIUrl":"https://doi.org/10.1088/2515-7620/ad549e","url":null,"abstract":"Water is crucial to human survival in general, and determining the WQI (water quality index) is one of the primary aspects. The existing water quality classification models are facing various challenges and gaps that are impeding their effectiveness. These challenges include limited data availability, the intricate nature of water systems, spatial and temporal variability, non-linear relationships, sensor noise, and error, interpretability, and explainability. It is imperative to address these challenges to improve the accuracy and efficacy of the models and to ensure that they continue to serve as reliable tools for monitoring and safeguarding water quality. To solve the issues, this paper proposes a Stacked Ensemble efficient long short-term memory (StackEL) model for an efficient water quality index classification. At first, the raw input data is pre-processed to rescale the input data using data normalization and one-hot encoding. After that, the process known as variational mode decomposition (VMD) is applied to get at the intrinsic mode functions (IMFs). Consequently, feature selection is performed using an extended coati optimization (EX-CoA) algorithm to select the most significant attributes from the feature selection. Here, publicly available datasets, namely the water quality dataset from Kaggle, are used for classification and performed using are used to perform the Stacked Ensemble efficient long short-term memory (StackEL) classification process effectively. To further perfect the proposed prediction model, the Dwarf Mongoose optimization (DMO) method is implemented. Several measures of effectiveness are examined. When compared to other existing models, the suggested model can achieve a high accuracy of 98.85% of the water quality dataset.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141383423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ecological implications of accumulation of PTEs and PAHs deriving from fuel exhausts in coastal marine primary producers 燃料废气产生的 PTEs 和 PAHs 在沿海海洋初级生产者体内积累的生态影响

IF 2.9 4区环境科学与生态学

Environmental Research Communications Pub Date : 2024-06-05 DOI: 10.1088/2515-7620/ad54a0

D. Baldantoni, A. Bellino, Maria Antonietta Nitopi, Vincenzo Baldi, E. Picariello, F. De Nicola

{"title":"Ecological implications of accumulation of PTEs and PAHs deriving from fuel exhausts in coastal marine primary producers","authors":"D. Baldantoni, A. Bellino, Maria Antonietta Nitopi, Vincenzo Baldi, E. Picariello, F. De Nicola","doi":"10.1088/2515-7620/ad54a0","DOIUrl":"https://doi.org/10.1088/2515-7620/ad54a0","url":null,"abstract":"\u0000 Anthropogenic activities, mainly in the form of local fuel exhausts and inputs from the coastline, heavily affect ecosystems at the interface between terrestrial and marine realms, impairing their functionality and the services they provide. Due to the central role of primary producers in trophic webs, their sessile nature and ethical concerns implied in experiments on animals, pollutant analyses in both sediments and macrophytes assume special relevance in assessing pollutant transfers from the abiotic to biotic compartments and their possible transfer through trophic webs. With a view to clarify the accumulation of inorganic and organic pollutants deriving from fuel exhausts on primary producers, the concentrations of Cu, Fe, Zn, phenanthrene and benzo[a]pyrene were determined in sediments and macrophytes collected from sites along the Cilento coast, in western Mediterranean Sea, characterized by different levels of anthropogenic pressures. The 18 species analysed, belonging to Cyanobacteria, Chlorophyta, Rhodophyta, Heterokontophyta and Embryophyta, exhibited different accumulation capabilities toward pollutants, with average concentrations of Cu, phenanthrene and benzo[a]pyrene in all the divisions (17.6±2.3 µg g-1 d.w., 34.3±2.1 ng g-1 d.w., 61.5±9.4 ng g-1 d.w., respectively) higher than those measured in sediments (4.0±0.7 µg g-1 d.w., 11.6±0.9 ng g-1 d.w., 14.8±1.0 ng g-1 d.w., respectively) and more than one order of magnitude higher in Embryophyta for Cu (62.9±7.1 µg g-1 d.w.) and in Cyanobacteria for benzo[a]pyrene (181±2 ng g-1 d.w.). The obtained findings constitute a reference for the accumulation capabilities of different taxa and for the behaviour of different fuel exhaust pollutants in marine coastal environments, with implication for their transfer across trophic webs.","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141382928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Identification and prioritization of context-specific climate smart agricultural (CSA) practices in Ethiopia: a framework approach 确定埃塞俄比亚针对具体情况的气候智能型农业（CSA）做法并确定其优先次序：一种框架方法

IF 2.9 4区环境科学与生态学

Environmental Research Communications Pub Date : 2024-06-05 DOI: 10.1088/2515-7620/ad54a1

Z. Adimassu, L. Tamene, D. Tibebe, Mohammed Ebrahim, W. Abera

{"title":"Identification and prioritization of context-specific climate smart agricultural (CSA) practices in Ethiopia: a framework approach","authors":"Z. Adimassu, L. Tamene, D. Tibebe, Mohammed Ebrahim, W. Abera","doi":"10.1088/2515-7620/ad54a1","DOIUrl":"https://doi.org/10.1088/2515-7620/ad54a1","url":null,"abstract":"\u0000 Ethiopia's diverse agroecological zones showcase a variety of Climate Smart Agricultural (CSA) Practices, yet the documentation and prioritization of best-bet practices have been lacking. To address this gap, this study utilized the Climate Change, Agriculture, and Food Security (CCAFS)-CSA Prioritization framework. This approach was deployed across nine key agro-ecologies in Ethiopia to identify and prioritize CSA practices based on the three pillars of CSA and gender-equity considerations. By employing this participatory framework, this study successfully identified and prioritized over 200 Climate Smart Agricultural (CSA) practices within Ethiopia's nine major agroecological zones. These practices were segmented into four main systems: crop management (40 practices), livestock management (41 practices), soil fertility management (40 practices), erosion control and water management (41 practices), and forest and agroforestry (40 practices). Notably, the results highlighted the significance of CSA practices linked to agroforestry/forestry management, rangeland/forage enhancement, exclosure strategies, and water management in addressing the goals associated with the three pillars (productivity, adaptation, mitigation) of CSA practices simultaneously. The findings also revealed that the majority of Climate Smart Agricultural (CSA) practices focused on improving productivity and enhancing adaptation to climate change. Additionally, the results demonstrated that trade-offs exist among the three pillars of CSA, emphasizing the need for integration with other practices to enhance complementarity and achieve all pillars simultaneously. Overall, this study underscores the importance of combining CSA practices of various categories to maximize their effectiveness and impact in sustainable agriculture","PeriodicalId":48496,"journal":{"name":"Environmental Research Communications","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141386320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0