Article
Environmental Sciences
Shiyao Gong, Yusheng Shi
Summary: The atmospheric methane concentration in China has increased rapidly in recent years, with significant spatial-temporal variation. A high-resolution monthly inventory of CH4 emissions in China in 2015 was developed in this study, showing that energy activities, livestock, and paddy fields were the largest contributors to CH4 emissions. The major emitting provinces in China were Inner Mongolia, Shanxi, Sichuan, Guizhou, and Hunan.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Engineering, Environmental
Yifei Wang, Lu Liu, Xueqi Qiao, Mei Sun, Junyu Guo, Jianbo Zhang, Bu Zhao
Summary: This study presents a comprehensive projection of HFO emissions in China during 2024-2060, providing scientific support for evaluating the environmental risks of HFOs and developing HFC phase-out pathways for addressing climate change. The use and environmental impacts of HFOs, as substitutes for potent greenhouse gas hydrofluorocarbons (HFCs), are of great concern due to the rapid degradation of HFOs to produce persistent and phytotoxic trifluoroacetic acid (TFA). High HFO emissions would mainly be distributed in the North China Plain and the eastern and coastal areas.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Remote Sensing
Wenna Tu, Zhang Liu, Yunyan Du, Jiawei Yi, Fuyuan Liang, Nan Wang, Jiale Qian, Sheng Huang, Huimeng Wang
Summary: Fine-scale population datasets are crucial for health and development applications. This study presents an ensemble learning approach that integrates digital footprint data and geospatial ancillary data to accurately estimate population dynamics. The method combines different models and generates fine-scale population maps for China in 2018, showing higher accuracy compared to existing datasets.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)
Article
Environmental Sciences
Micha Silver, Arnon Karnieli, Erick Fredj
Summary: The motivation for improving gridded precipitation data lies in weather now-casting and flood forecasting. By comparing CML-derived rain rates to adjusted weather radar rainfall, this study determines the reliability of rainfall measurements for each link and produces interpolated gridded precipitation data after filtering out unreliable links.
Article
Engineering, Environmental
Jian Wu, Shaofei Kong, Xin Zeng, Yi Cheng, Qin Yan, Huang Zheng, Yingying Yan, Shurui Zheng, Dantong Liu, Xiaoyang Zhang, Pingqing Fu, Shuxiao Wang, Shihua Qi
Summary: The study developed a high-resolution LG emission inventory for China, revealing the impact of LG emissions on the identification of biomass burning sources and emphasizing the importance of non-BB sources in BB source contributions.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2021)
Article
Meteorology & Atmospheric Sciences
Amir H. Souri, Kelly Chance, Kang Sun, Xiong Liu, Matthew S. Johnson
Summary: This study demonstrates the application of kriging in evaluating model-predicted or satellite-derived atmospheric trace gases, emphasizing the importance of considering spatial autocorrelation in comparisons.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2022)
Article
Green & Sustainable Science & Technology
Tansu Galimova, Manish Ram, Dmitrii Bogdanov, Mahdi Fasihi, Siavash Khalili, Ashish Gulagi, Hannu Karjunen, Theophilus Nii Odai Mensah, Christian Breyer
Summary: The defossilisation of the global energy system is a key goal to mitigate climate change. This research analyzes the global demand for carbon dioxide as raw material for the production of renewable electricity-based fuels and chemicals during a global energy transition to 100% renewable energy. It evaluates the carbon dioxide capture and utilisation potentials from key industrial point sources. The study estimates that the demand for carbon dioxide will increase from 0.6 gigatonnes in 2030 to 6.1 gigatonnes in 2050, with key industrial point sources potentially supplying the majority of the demand in the 2030s and direct air capture supplying the majority by 2050.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Environmental Sciences
Yucong Zhang, Xinjie Liu, Liping Lei, Liangyun Liu
Summary: This study demonstrates the capability of data-driven random forest regression models in estimating anthropogenic CO2 emissions at a grid scale.
Article
Environmental Sciences
Jian He, Zhanxiang Wang, Liuyuan Zhao, Haibo Ma, Juan Huang, Hongyu Li, Xiaoxuan Mao, Tao Huang, Hong Gao, Jianmin Ma
Summary: The study highlights China's significant role in global production and emission of OPFRs, with emissions increasing over the years. Higher emissions were identified in specific regions such as Jiangxi, Shandong, BTH, YRD, and PRD, with East China experiencing more intense contamination. The developed emission inventory was deemed reliable based on model-data comparisons.
ENVIRONMENTAL POLLUTION
(2021)
Article
Environmental Sciences
Qiu Huang, Yinrui Hu, Liangqing Luo
Summary: This study analyzes the spatial and temporal evolution characteristics and spatial effects of CO2 emissions in China based on data from 30 provinces from 2005 to 2018. The findings show significant differences in CO2 emissions between eastern and western China, with agglomeration areas shifting gradually from east to central and south China. Industrial agglomeration level leads to increased carbon emissions from producer services and has negative spatial spillover effects. Urbanization, employment scale, and per capita wealth significantly increase carbon emissions and have positive spatial spillover effects. Technology can reduce CO2 emissions, but the spatial spillover effect is not significant.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Environmental Sciences
Zhicong Yin, Mingkeng Duan, Yuyan Li, Tianbao Xu, Huijun Wang
Summary: This study analyzed the contributions of emission predictors and climate variability to seasonal prediction of PM2.5 concentration in the east of China and developed a model for winter PM2.5 concentration prediction. The model showed high accuracy and robustness in cross-validation and independent tests and successfully reproduced the significant decrease in PM2.5 concentration resulting from strict emission control measures in recent years.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2022)
Article
Environmental Sciences
Xianghua Li, Jinliang Hou, Chunlin Huang
Summary: Accurate high-resolution gridded livestock distribution data is essential for rational utilization of grassland resources, environmental impact assessment, and sustainable development of animal husbandry. By integrating high-resolution gridded geographic data and livestock statistics through machine learning models, this study successfully generated spatial distribution maps of cattle and sheep for western China from 2000 to 2015 at a 1 km x 1 km resolution. Deep neural network (DNN) exhibited the highest accuracy among the three machine learning models, providing superior results compared to the traditional census livestock data and other published datasets.
Article
Engineering, Environmental
Jing Wu, Tong Li, Jing Wang, Dayu Zhang, Lin Peng
Summary: This study developed a set of national-provincial-gridded emission estimation methods to obtain the HCFC-22 emission inventories in China from 1990 to 2019. The results showed that China's HCFC-22 emissions peaked in 2017, with higher emissions in the eastern and southern regions. Under the control of the Montreal Protocol, China is expected to reduce cumulative emissions and contribute to ozone layer protection and climate change mitigation.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2022)
Article
Environmental Sciences
Teng Tao, Guo Wen
Summary: This paper utilizes the provincial MRIO model to analyze carbon transfers among 30 provinces in mainland China, revealing the impacts and disparities of provincial industrial exchanges on carbon emissions. Results indicate that economically developed provinces have significantly higher carbon transfer rates compared to economically underdeveloped provinces.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Engineering, Environmental
Shuoyue Wang, Yang Gao, Junjie Jia, Yao Lu, Jing Wang, Xianrui Ha, Zhaoxi Li, Kun Sun
Summary: This study found that photosynthesis, respiration, and organic matter degradation were the main driving mechanisms of CO2 absorption and release in Lake Poyang. The water-level fluctuations inherent to floodplain-lakes may also have an impact on C cycling processes and CO2 exchange rates.
