Environment, Development and Sustainability - Sugarcane is an industrial crop globally used for producing biofuels and bioproducts and is the only source of white sugar in Bangladesh. However,... 相似文献
Russian Journal of Ecology - Climate change entails shifts in the ranges of woody plants along both latitudinal and altitudinal gradients in the boreal forest biome. In this study,... 相似文献
Environmental Science and Pollution Research - The aim of this study is to describe the existence of the inflammatory marker nuclear factor kappa light chain B lymphocyte protein (NF-?B P65)... 相似文献
Artisanal and small-scale gold mining (ASGM) is the principal anthropogenic activity that globally contributes to overloading our environment with mercury. Although the Minamata Convention, led by the United Nations, is a crucial instrument to eliminate its use progressively, novel approaches to accelerate this difficult transition are welcome. This article proposes a framework for policy-making or improvement, fostering the enforcement of mercury elimination through the lens of the 17 Sustainable Development Goals (SDGs), focusing on the excluded artisanal and small-scale gold miners and their dependents. We move forward with a literature review of the Artisanal and Small Mining topic, taking each SDG as a unit of analysis. Understanding the problem as a puzzle of four sets of pieces, namely: (1) social, (2) environmental, (3) economic, and (4) institutional, the paper offers potential opportunities for the decision-makers and practitioners to accelerate the substitution of this heavy metal and develop sustainable futures for the ASGM communities. We conclude by proposing a pragmatic framework that synthesizes the means, actions, and ends to accelerate a sustainable transition. 相似文献
Data-driven techniques are used extensively for hydrologic time-series prediction. We created various data-driven models (DDMs) based on machine learning: long short-term memory (LSTM), support vector regression (SVR), extreme learning machines, and an artificial neural network with backpropagation, to define the optimal approach to predicting streamflow time series in the Carson River (California, USA) and Montmorency (Canada) catchments. The moderate resolution imaging spectroradiometer (MODIS) snow-coverage dataset was applied to improve the streamflow estimate. In addition to the DDMs, the conceptual snowmelt runoff model was applied to simulate and forecast daily streamflow. The four main predictor variables, namely snow-coverage (S-C), precipitation (P), maximum temperature (Tmax), and minimum temperature (Tmin), and their corresponding values for each river basin, were obtained from National Climatic Data Center and National Snow and Ice Data Center to develop the model. The most relevant predictor variable was chosen using the support vector machine-recursive feature elimination feature selection approach. The results show that incorporating the MODIS snow-coverage dataset improves the models' prediction accuracies in the snowmelt-dominated basin. SVR and LSTM exhibited the best performances (root mean square error = 8.63 and 9.80) using monthly and daily snowmelt time series, respectively. In summary, machine learning is a reliable method to forecast runoff as it can be employed in global climate forecasts that require high-volume data processing. 相似文献
Microplastics (MPs) are frequently regarded as environmental and biota contaminants. Yet, research on the accumulation of MPs in living entities, particularly aquatic insects that serve as food resources in the aquatic food chain, is limited. This study to investigate the accumulation of MPs in aquatic insects from water and sediment in an Egyptian wastewater basin. Four typical freshwater insect groups were used. The highest MP load per gram wet weight was reported by collector-gatherers (Chironomus sp. and Hydrophilus sp.), followed by collector-filterers (Culex sp.) with the second highest MP load. However, Predators (Aeshna sp.) had the lowest values. Also, the present results showed a reduction in the number of MPs in all insect taxa tested after a 24 h depuration time, with differences in the observed egestion ability. The mean number of MPs per individual significantly reduced after 24 h in both Chironomus sp. and Culex sp. larvae, where 53% and 40% of MPs particles were ejected from them, respectively. However, the ability of MP egestion decreases in Aeshna sp. nymph (25%), and the lowest proportion of ejection was observed in Hydrophilus sp. adults (9%). Polyethylene terephthalate fibers were the most abundant type of MP in both sediment and water, followed by fragments (polyethylene and polypropylene). Yet, only polyester fibers were detected in the various insect species. The average length of fibers in the various insects was somewhat shorter than in the surrounding environment. The current study reveals that MP ingestion by aquatic insects is not always related to levels of pollution in the environment, since other factors such as feeding strategies may play a role in MP ingestion. Based on these observations, further studies should be carried out on studies on toxicological impacts of MPs on freshwater/aquatic biota. 相似文献
Environment, Development and Sustainability - The current study explores the role of green trust, green perceived risk and green perceived quality in changing green purchase intention.... 相似文献
Russian Journal of Ecology - A study of the anthropogenic impacts on the on-shore aggregation of true seals was carried out at a haul-out located at the mouth of Piltun Bay (the northeastern part... 相似文献
It is known that globalization has led first- and second-tier cities’ urban restructuring trajectories, excreted pressures, and caused tremendous socioeconomic volatility. This resulted in marginalized communities in dire of social empowerment, employment structure variance, and industry sectoral adjustment. Moreover, recent successive climate and health crisis unfolded and affirmed the state of our urban incompetence to sustain socioeconomic resilience or otherwise; lacking swift responses in providing critical management and services, cites are facing multifaceted challenges. Urban well-being and resilience are at stake. Although the environmental and health dimensional effects are apparent, this study ascertains that the transept multi-scalar analysis within the urban socioeconomic structure is crucial in sustaining core resilience to foster health and well-being of the community. As an integral part of the investigation, the revised DPSIR assessment framework is applied to evaluate the sectoral shift; spatial structure disarray and urban codependence degree are examined within the Taipei metropolitan area (TMA), a medium size but densely populated metropolitan area in Taiwan. The place-based DPSIR analysis ascertained the states and impacts in TMA: (1) A population decline speeded the restructuring of the urban core, while the impact of demographic aging and shrinkage rate mandates proper management and planning responses to the decline process; (2) the socioeconomic state effect is determined but does not critically affect the periphery zone, while an uneven demographic shift within the urban core necessitates dynamic adjustment responses to appropriately provide intergenerational services; (3) the uneven sector redistribution stimulated the core’s spatial and structural inter-dependency with peripheral zones, requiring governance with tighter cross-administration cooperation among respective public sectors; and (4) facing the sector/temporal and demographic pressure, urban cohesiveness in the TMA is greatly affected, which in turn disrupts the resilience pathway toward a cohesion. The study ascertained that the revised DPSIR framework could provide cities facing pressing socioeconomic drivers with effective analysis to allocate pressures, states, and impacts and formulate the necessary responses. To assure the socioeconomic resilience and urban cohesiveness, planning policy should carefully monitor and evaluate socio-demographic and sector redistribution factors to promote the urban resilience.
Environmental Science and Pollution Research - Mixed matrix membranes (MMMs) were fabricated by the hydrothermal synthesis of ordered mesoporous KIT-6 type silica and incorporating in polyimide... 相似文献