From consumption to context: assessing poverty and inequality across diverse socio-ecological systems in Ghana [0.03%]
从消费到背景：评估加纳多样的社会生态系统中的贫困和不平等状况
Alicia C Cavanaugh,Honor R Bixby,Saeesh Mangwani et al.
Alicia C Cavanaugh et al.
Local social and ecological contexts influence the experience of poverty and inequality in a number of ways that include shaping livelihood opportunities and determining the available infrastructure, services and environmental resources, as...
Household air pollution disparities between socioeconomic groups in Chicago [0.03%]
芝加哥不同社会经济群体中的家庭空气污染差异性
William Isaac Krakowka,Jiajun Luo,Andrew Craver et al.
William Isaac Krakowka et al.
Purpose: To assess household air pollution levels in urban Chicago households and examine how socioeconomic factors influence these levels. Methods: We deployed wireless air monitoring devices to 244 households in a diverse population in Ch...
Motivating parents to protect their children from wildfire smoke: the impact of air quality index infographics [0.03%]
动机父母保护孩子免受野火烟雾侵害：空气质量指数信息图表的影响
Catherine E Slavik,Daniel A Chapman,Hollie Smith et al.
Catherine E Slavik et al.
Background. Wildfire smoke events are increasing in frequency and intensity due to climate change. Children are especially vulnerable to health effects even at moderate smoke levels. However, it is unclear how parents respond to Air Quality...
How to estimate carbon footprint when training deep learning models? A guide and review [0.03%]
训练深度学习模型时如何估算碳足迹？一份指南和综述
Lucía Bouza,Aurélie Bugeau,Loïc Lannelongue
Lucía Bouza
Machine learning and deep learning models have become essential in the recent fast development of artificial intelligence in many sectors of the society. It is now widely acknowledge that the development of these models has an environmental...
Major point and nonpoint sources of nutrient pollution to surface water have declined throughout the Chesapeake Bay watershed [0.03%]
切萨皮克湾流域地表水营养物污染的主要点源和非点源减少
Robert D Sabo,Breck Sullivan,Cuiyin Wu et al.
Robert D Sabo et al.
Understanding drivers of water quality in local watersheds is the first step for implementing targeted restoration practices. Nutrient inventories can inform water quality management decisions by identifying shifts in nitrogen (N) and phosp...
Considerations when using nutrient inventories to prioritize water quality improvement efforts across the US [0.03%]
在全美范围内使用营养物清单来优先考虑水质改善工作时需要考虑的因素
Robert D Sabo,Christopher M Clark,Jana E Compton
Robert D Sabo
Ongoing water quality degradation tied to nitrogen and phosphorus pollution results in significant economic damages by diminishing the recreational value of surface water and compromising fisheries. Progress in decreasing nitrogen and phosp...
Positive correlation between wood δ 15N and stream nitrate concentrations in two temperate deciduous forests [0.03%]
温暖落叶林中木质素δ15N与溪流硝酸盐浓度的正相关性研究——以美国两个森林生态系统的案例为例
Robert D Sabo,Andrew J Elmore,David M Nelson et al.
Robert D Sabo et al.
A limitation to understanding drivers of long-term trends in terrestrial nitrogen (N) availability in forests and its subsequent influence on stream nitrate export is a general lack of integrated analyses using long-term data on terrestrial...
Impact of South Asian brick kiln emission mitigation strategies on select pollutants and near-term Arctic temperature responses [0.03%]
南亚砖窑减排策略对特定污染物和北极短期温度响应的影响研究
Brannon Seay,Anna Adetona,Natasha Sadoff et al.
Brannon Seay et al.
The brick kiln industrial sector in South Asia accounts for large amounts of short-lived climate forcer (SLCF) emissions, namely black carbon (BC), organic carbon (OC), and sulfur dioxide (SO2; the precursor to atmospheric sulfate [SO4]). T...
Statistical and Machine Learning Methods Applied to the Prediction of Different Tropical Rainfall Types [0.03%]
用于预测不同热带降雨类型的统计和机器学习方法
Jiayi Wang,Raymond K W Wong,Mikyoung Jun et al.
Jiayi Wang et al.
Predicting rain from large-scale environmental variables remains a challenging problem for climate models and it is unclear how well numerical methods can predict the true characteristics of rainfall without smaller (storm) scale informatio...
Multivariate Spatial Prediction of Air Pollutant Concentrations with INLA [0.03%]
基于INLA的多变量空间空气污染物浓度预测模型
Wenlong Gong,Brian J Reich,Howard H Chang
Wenlong Gong
Estimates of daily air pollution concentrations with complete spatial and temporal coverage are important for supporting epidemiologic studies and health impact assessments. While numerous approaches have been developed for modeling air pol...