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Air pollution (e.g., PM2.5) has a negative effect on human health. Recently, the population-weighted annual mean PM2.5 concentration (PWAM) has been selected as an indicator 11.6.2 in Sustainable Development Goals (SDGs), for various…

Computers and Society · Computer Science 2022-08-31 Yuheng Zhang , Qi Zhou , Ke Chang

Carbon dioxide (CO2) emissions have emerged as a critical issue with profound impacts on the environment, human health, and the global economy. The steady increase in atmospheric CO2 levels, largely due to human activities such as burning…

General Economics · Economics 2024-03-04 Faustino Prieto , Catalina B. García-García , Román Salmerón Gómez

This paper presents a comprehensive study leveraging Support Vector Machine (SVM) regression and Principal Component Regression (PCR) to analyze carbon dioxide emissions in a global dataset of 62 countries and their dependence on…

Machine Learning · Computer Science 2025-03-21 Wenjia Xie , Jinhui Li , Kai Zong , Luis Seco

CO$_2$ emission reduction and increasing volatile renewable energy generation mandate stronger energy sector coupling and the use of energy storage. In such multi-modal energy systems, it is challenging to determine the effect of an…

Signal Processing · Electrical Eng. & Systems 2024-10-30 Christopher Ripp , Florian Steinke

Human occupancy information is crucial for any modern Building Management System (BMS). Implementing pervasive sensing and leveraging Carbon Dioxide data from BMS sensor, we present Carbon Dioxide - Human Occupancy Counter (CD-HOC), a novel…

Human-Computer Interaction · Computer Science 2017-06-19 Irvan B. Arief-Ang , Flora D. Salim , Margaret Hamilton

This paper discusses the adoption of a green ammonia economy in meeting challenges in China's sustainable development. First, key challenges in China's energy transition, industry decarbonziation and regional sustainable development are…

General Economics · Economics 2024-07-11 Hanxin Zhao

The method is proposed for estimation of regional CO2 and other greenhouses and pollutants production responcibility. The comparison of CO2 local emissions reduction data with world CO2 atmosphere data will permit easy to judge for overall…

Atmospheric and Oceanic Physics · Physics 2008-10-02 S. Cht. Mavrodiev , L. Pekevski , B. Vachev

Reducing domestic energy demand is central to climate mitigation and fuel poverty strategies, yet the impact of energy efficiency interventions is highly heterogeneous. Using a causal machine learning model trained on nationally…

Machine Learning · Computer Science 2025-10-22 Bernardino D'Amico , Francesco Pomponi , Jay H. Arehart , Lina Khaddour

Air quality impacts people's health and daily life, affects the sensitive ecosystems, and even restrains a country's development. By collecting and processing the time series data of Air Quality Index (AQI) of 363 cities of China from Jan.…

Physics and Society · Physics 2020-06-24 Wenjun Zhang , Zhanpeng Guan , Jianyao Li , Zhu Su , Weibing Deng , Wei Li

Social-distancing to combat the COVID-19 pandemic has led to widespread reductions in air pollutant emissions. Quantifying these changes requires a business as usual counterfactual that accounts for the synoptic and seasonal variability of…

In Chinese building codes, it is required that residential buildings receive a minimum number of hours of natural, direct sunlight on a specified winter day, which represents the worst sunlight condition in a year. This requirement is a…

Machine Learning · Computer Science 2023-08-22 Can Jiang , Xiong Liang , Yu-Cheng Zhou , Yong Tian , Shengli Xu , Jia-Rui Lin , Zhiliang Ma , Shiji Yang , Hao Zhou

Following the Paris Agreement of $2015$, most countries have agreed to reduce their carbon dioxide (CO$_2$) emissions according to individually set Nationally Determined Contributions. However, national CO$_2$ emissions are reported by…

Applications · Statistics 2021-02-26 Mikkel Bennedsen

In this paper, we analysed real-time measurements of atmospheric CO$_2$ with total electricity production and nation-wide restrictions phases due to the novel coronavirus COVID-19 pandemic, and its effects on atmospheric CO$_2$…

Optically transparent thermal loss mitigators have recently seen renewed research interests owing to their increasing relevance in the realms ranging from smart windows, efficient greenhouse designs and high-performance-low-cost solar…

Applied Physics · Physics 2026-01-27 Domala Sai Suhas , Vikrant Khullar

This study investigates the effectiveness and efficiency of two variants of the XGBoost regression model, the full-capacity and lightweight (tiny) versions, for predicting the concentrations of carbon monoxide (CO) and nitrogen dioxide…

Machine Learning · Computer Science 2025-12-01 Md. Sad Abdullah Sami , Mushfiquzzaman Abid

Carbon emissions have become a specific alarming indicators and intricate challenges that lead an extended argue about climate change. The growing trend in the utilization of fossil fuels for the economic progress and simultaneously…

Econometrics · Economics 2025-11-21 Mariana Carmelia Balanica-Dragomir

Despite policymakers deploying various tools to mitigate emissions of ozone (O\textsubscript{3}) precursors, such as nitrogen oxides (NO\textsubscript{x}), carbon monoxide (CO), and volatile organic compounds (VOCs), the effectiveness of…

A climate mitigation comprehensive solution is presented through the first high yield, low energy synthesis of macroscopic length carbon nanotubes (CNT) wool from CO2 by molten carbonate electrolysis, suitable for weaving into carbon…

Materials Science · Physics 2017-05-26 Marcus Johnson , Jiawen Ren , Matthew Lefler , Gad Licht , Juan Vicini , Stuart Licht

Greenspaces are tightly linked to human well-being. Yet, rapid urbanization has exacerbated greenspace exposure inequality and declining human life quality. Roof greening has been recognized as an effective strategy to mitigate these…

Computer Vision and Pattern Recognition · Computer Science 2024-04-23 Jie Shao , Wei Yao , Lei Luo , Linzhou Zeng , Zhiyi He , Puzuo Wang , Huadong Guo

We present a new procedure to measure the large-scale carbon monoxide (CO) emissions across cosmic history. As a tracer of large-scale structure (LSS), the CO gas content as a function of redshift can be quantified by its three-dimensional…

Cosmology and Nongalactic Astrophysics · Physics 2013-04-17 Anthony Pullen , Tzu-Ching Chang , Olivier Dore , Adam Lidz
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