Article
Engineering, Environmental
Hakan Tongal, Bellie Sivakumar
Summary: This study investigates the robustness of recovered community structures for monthly rainfall data in Tasmania, Australia using complex network-based approaches. The variation of information curves and Gaussian process regression method are utilized to analyze the networks. The results show that networks perform better when the threshold is higher than 0.70. Furthermore, using a robust network with a threshold value of 0.80 significantly improves rainfall forecasting accuracy.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2023)
Article
Environmental Sciences
Sangmin Oh, Seung-Gi Kim, Jae Bong Lee, Junsu Park, Joon-Bum Jee, Se-Woon Hong, Kyeong-Seok Kwon, Mijung Song
Summary: This study revealed the spatial distribution of atmospheric NH3 in a rural area of South Korea and its influence on NH3 levels in nearby urban areas, showing significant differences in NH3 concentrations at different sites and higher peak concentrations in rural environments compared to urban areas.
Article
Agronomy
Xinrui Ge, Martijn Schaap, Enrico Dammers, Mark Shephard, Wim de Vries
Summary: Ammonia is a significant pollutant emitted from agricultural activities, causing harm to human health and biodiversity loss. However, current ammonia emission inventories do not account for spatial and temporal variabilities caused by weather variations and factors like manure properties and application techniques. This study proposes a method using the ALFAM2 model to derive spatially explicit slurry application emission fractions, which significantly improves ammonia emission modeling and is crucial for studying temporal variability between years.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Environmental Sciences
D. Van Nguyen, L. K. Nguyen, D. A. Tran, M. H. Duong, H. T. Nguyen, M. Aikawa
Summary: This study provides an unprecedented understanding of the spatiotemporal characteristics of ambient ammonia gas (NH3(g)) in Hanoi, Vietnam. The results show that polluted rivers have the highest NH3 concentrations, while rural areas have the lowest. This is likely due to volatilization from wastewater and agriculture, with vehicular emissions playing a significant role in urban areas. These findings are important for improving urban air quality.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
(2023)
Article
Environmental Sciences
Anna Rychla, Barbara Amon, Melynda Hassouna, Tony J. van der Weerden, Wilfried Winiwarter
Summary: Understanding the costs of emission abatement measures is crucial for effective reduction efforts. This study summarizes and discusses current knowledge on costs and effects of selected ammonia mitigation measures in livestock production. The results show significant differences between countries and models, influenced by system boundaries, geographic and structural conditions. More consistent assessments are needed to improve the evaluation base for other abatement options.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Agriculture, Multidisciplinary
Yuyu Yang, Lei Liu, Pu Liu, Jia Ding, Hang Xu, Sheng Liu
Summary: Agriculture is a major contributor to ammonia (NH3) emissions, which have negative impacts on air quality and human health. However, there is still uncertainty regarding the global pattern of NH3 emissions, particularly with regards to specific crops and animals. This study developed an improved agricultural NH3 emissions inventory from 1961 to 2018, revealing that global NH3 emissions averaged at 39.2 Tg N yr-1 and were driven by livestock production (58.4%) and cropland (41.6%). Cattle, rice, maize, and wheat were identified as key contributors to agricultural NH3 emissions. The study also highlighted the shifting hotspots of NH3 emissions from the United States and European Union to China and India in recent years. These findings enhance our understanding of NH3 dynamics in agriculture and provide important insights for the formulation of NH3 pollution prevention and control policies.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2023)
Article
Environmental Sciences
Daniel Gil Ramirez, Jhon Fredy Narvaez Valderrama, Carlos Alberto Palacio Tobon, Juan Jose Garcia, Juan David Echeverri, Jaromir Sobotka, Branislav Vrana
Summary: Persistent organic pollutants (POPs) including PAHs, PCBs, and OCPs are present in the Piedras river in Colombia, posing a serious threat to the drinking water supply system for over 3 million users. Silicone rubber membranes were used as passive samplers to assess the sources and spatial variation of POPs. The study revealed that the concentrations of PAHs, PCBs, and some OCPs exceeded the levels considered toxic by the EPA.
ENVIRONMENTAL POLLUTION
(2023)
Article
Environmental Sciences
Muhammad Sohail, Syed Ali Musstjab Akber Shah Eqani, Habib Bokhari, Muhammad Zaffar Hashmi, Nadeem Ali, Ambreen Alamdar, Joel E. Podgorski, Dave Adelman, Rainer Lohmann
Summary: This study measured the freely dissolved OCPs and PCBs in the Indus River using polyethylene passive samplers. It found spatial variations in the distribution of these contaminants and identified agricultural fields, health sector, and industrial activities as major sources. The contaminated water intake from the river poses considerable cancer and non-cancer risks to human health.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Environmental Sciences
Haodan Wang, Zhanqing Zhao, Wilfried Winiwarter, Zhaohai Bai, Xuan Wang, Xiangwen Fan, Zhiping Zhu, Chunsheng Hu, Lin Ma
Summary: NH3 emissions in China, mostly from livestock production, are associated with high levels of PM2.5 and poor air quality. A study conducted in Sheyang, Jiangsu province, achieved a 16% reduction in emissions through two strategies, with a potential for 42% reduction if fully implemented. The cost benefit analysis showed advantages of centralized manure treatment over in-farm facilities.
ENVIRONMENTAL POLLUTION
(2021)
Article
Environmental Sciences
Pu Liu, Jia Ding, Yufeng Ji, Hang Xu, Sheng Liu, Bin Xiao, Haodong Jin, Xiaojun Zhong, Zecheng Guo, Houcheng Wang, Lei Liu
Summary: In this study, a satellite-based approach was used to estimate livestock point NH3 emissions by combining satellite observations and digital maps of points-of-interest (POI). Results showed an overall increasing trend in livestock NH3 emissions in Hebei province, with high emissions occurring in spring and summer. The satellite-derived emissions were significantly higher than the bottom-up estimates, highlighting the importance of this method for policy formulation.
Article
Microbiology
Sun-Il Kim, Wan Heo, So-Jung Lee, Young-Jun Kim
Summary: The study found that Pediococcus acidilactici (PA) strains have the effectiveness in suppressing ammonia gas emission from manure, with the 12III strain showing the best performance, and can improve manure quality as a nitrogen fertilizer.
Article
Environmental Sciences
Tianle Yang, Fangmin Li, Min Du, Yinxin Wang, Zhennan Sun
Summary: The rapid development of animal husbandry has led to serious environmental pollution issues, with the total emissions volume and major pollutants in China's cattle breeding industry showing a declining trend, while spatial divergence is becoming increasingly pronounced.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Agronomy
Xuehui Guo, Da Pan, Ryan W. Daly, Xi Chen, John T. Walker, Lei Tao, James McSpiritt, Mark A. Zondlo
Summary: This study utilized two fast-response NH3 sensors to measure NH3 fluxes in a forest and grassland in North Carolina and observed significant differences in NH3 exchange under different vegetation and biogeochemical conditions. NH3 fluxes displayed diurnal variations and varied ranges in different environmental conditions.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Food Science & Technology
Petros Chatzimpiros, Souhil Harchaoui
Summary: By simulating the upper limits of global feeding capacity and nitrogen pollution under organic and industrial fertilization regimes, it was found that the current agricultural area could feed around 8-20 billion people under unconstrained industrial fertilization and approximately 3-14 billion under organic fertilization. These ranges are influenced by the amount of animal proteins in human diets, feed-food competition, grassland-to-cropland allocation, and nitrogen use efficiency under organic fertilization.
Article
Environmental Sciences
Benjamin Becker, Christian Kochleus, Denise Spira, Christel Moehlenkamp, Julia Bachtin, Stefan Meinecke, Etienne L. M. Vermeirssen
Summary: This study evaluated the applicability of three different passive sampling receiving phases for pesticides and found that all three sampling phases were suitable for environmental monitoring, with similar uptake rates across the materials. However, there were some exceptions where certain compounds showed noticeable differences in uptake rates. Therefore, relying solely on literature calibration data and transferring them from one sampling phase to another may not always be accurate.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Muhammad Waqas, Majid Nazeer, Man Sing Wong, Wu Shaolin, Li Hon, Joon Heo
Summary: The socio-economic restriction measures implemented in the United States have significantly reduced nitrogen dioxide (NO2) emissions. The study highlights the impact of factors such as human mobility, population density, income, climate, and stationary sources on the reduction of NO2 at different stations. The research emphasizes the scientific impacts of the NO2 reduction and income inequality revealed by the pandemic on air quality and health disparities.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Guorui Zhi, Jinhong Du, Aizhong Chen, Wenjing Jin, Na Ying, Zhihui Huang, Peng Xu, Di Wang, Jinghua Ma, Yuzhe Zhang, Jiabao Qu, Hao Zhang, Li Yang, Zhanyun Ma, Yanjun Ren, Hongyan Dang, Jianglong Cui, Pengchuan Lin, Zhuoshi He, Jinmin Zhao, Shuo Qi, Weiqi Zhang, Wenjuan Zhao, Yingxin Li, Qian Liu, Chen Zhao, Yi Tang, Peng Wei, Jingxu Wang, Zhen Song, Yao Kong, Xiangzhe Zhu, Yi Shen, Tianning Zhang, Yangxi Chu, Xinmin Zhang, Jiafeng Fu, Qingxian Gao, Jingnan Hu, Zhigang Xue
Summary: An comprehensive emission inventory for China in 2019, which includes both air pollutants and greenhouse gases, was developed in this study. The inventory utilizes existing frameworks and data to provide comparable emissions data and demonstrates the relationship between emissions and economic development.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
I-Ting Ku, Yong Zhou, Arsineh Hecobian, Katherine Benedict, Brent Buck, Emily Lachenmayer, Bryan Terry, Morgan Frazier, Jie Zhang, Da Pan, Lena Low, Amy Sullivan, Jeffrey L. Collett Jr
Summary: Unconventional oil and natural gas development (UOGD) in the United States has expanded rapidly in recent decades, raising concerns about its impact on air quality. This study conducted extensive air monitoring during the development of several large well pads in Broomfield, Colorado, providing a unique opportunity to examine changes in local air toxics and VOC concentrations during well drilling and completions and production. The study identified significant increases in VOC concentrations during drilling operations, highlighting the importance of emissions from synthetic drilling mud. The findings suggest opportunities to mitigate emissions during UOGD operations.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Puji Lestari, Akbar R. Tasrifani, Wiranda I. Suri, Martin J. Wooster, Mark J. Grosvenor, Yusuke Fujii, Vissia Ardiyani, Elisa Carboni, Gareth Thomas
Summary: This study developed field emission factors for various pollutants in peatland fires and estimated the total emissions. Gas samples were collected using an analyzer, while particulate samples were collected using air samplers. The study found significant emissions of CO2, CO, PM2.5, carbon aerosols, water-soluble ions, and elements from the fires in Central Kalimantan, Indonesia in 2019.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Ligang Li, Yuyu Chen, Lu Fan, Dong Sun, Hu He, Yongshou Dai, Yong Wan, Fangfang Chen
Summary: A high-precision retrieval method based on a deep convolutional neural network and satellite remote sensing data is proposed to obtain accurate methane vertical profiles.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Hyung Joo Lee, Toshihiro Kuwayama, Michael Fitzgibbon
Summary: This study investigated the changes in nitrogen dioxide (NO2) air pollution levels and their disparities in California, U.S. during the pandemic of coronavirus disease 2019 (COVID-19). The results showed a decrease in NO2 concentrations, especially in urban and high-traffic areas. However, socially vulnerable populations still experienced higher levels of NO2 exposure. The study suggests that reducing NO2 disparities, particularly racial inequity, can be achieved through continued regulatory actions targeting traffic-related NOx emissions.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Maria Chiara Pietrogrande, Beatrice Biffi, Cristina Colombi, Eleonora Cuccia, Umberto Dal Santo, Luisa Romanato
Summary: This study investigates the chemical composition and oxidative potential of PM10 particles in the Po Valley, Italy, and demonstrates the impact of high levels of atmosphere ammonia. The rural area had significantly higher ammonia concentrations compared to the urban site, resulting in higher levels of secondary inorganic aerosol. Although the SIA components did not contribute significantly to the PM10 oxidative reactivity, they were correlated with the oxidative potential measurements. This suggests that the contribution of SIA to PM oxidative toxicity cannot be ignored.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Natalie Allen, Jan Gacnik, Sarrah M. Dunham-Cheatham, Mae Sexauer Gustin
Summary: Accurate measurement of atmospheric reactive mercury is challenging due to its reactivity and low concentrations. The University of Nevada, Reno Reactive Mercury Active System (RMAS) has been shown to be more accurate than the industry standard, but has limitations including long time resolution and sampling biases. Increasing the sampling flow rate negatively affected RM concentrations, but did not impact the chemical composition of RM captured on membranes.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Chin-Yu Hsu, Wei-Ting Hsu, Ching-Yi Mou, Pei-Yi Wong, Chih-Da Wu, Yu-Cheng Chen
Summary: This study estimated the daily exposure concentrations of PM2.5 for elderly individuals residing in different regions of Taiwan using land use regression with machine learning (LUR_ML) and microenvironmental exposure (ME) models. The accuracy of the models varied across regions, with the ME models exhibiting higher predictions and lower biases. The use of region-specific microenvironmental measurements in the ME model showed potential for accurate prediction of personal PM2.5 exposure.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Xiaohan Si, Kerrie Mengersen, Chuchu Ye, Wenbiao Hu
Summary: This study found that there is an interactive effect between air pollutants and weather factors, which significantly affects influenza transmission. Future research should consider the interactive effects between pollutants and temperature or humidity to evaluate the environment-influenza association.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Luxi Xu, Ruijun Xu, Yunshao Ye, Rui Wang, Jing Wei, Chunxiang Shi, Qiaoxuan Lin, Ziquan Lv, Suli Huang, Qi Tian, Yuewei Liu
Summary: This study aimed to evaluate the impact of ambient air pollution on hospital admissions for angina. The results showed that exposure to ambient particulate matter, sulfur dioxide, nitrogen dioxide, carbon monoxide, and ozone are associated with an increased risk of hospital admissions for angina. The association with nitrogen dioxide exposure was found to be the strongest.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Xinyu Yu, Man Sing Wong, Majid Nazeer, Zhengqiang Li, Coco Yin Tung Kwok
Summary: This study proposes a novel method to address the challenge of missing values in satellite-derived AOD products and creates a comprehensive daily AOD dataset for the Guangdong-Hong Kong-Macao Greater Bay Area. By reconstructing missing values and developing a new model, the derived dataset outperforms existing products and agrees well with ground-based observations. Additionally, the dataset exhibits consistent temporal patterns and more spatial details.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Yidan Zhang, Yifan Xu, Bo Peng, Wu Chen, Xiaoyu Cui, Tianle Zhang, Xi Chen, Yuan Yao, Mingjin Wang, Junyi Liu, Mei Zheng, Tong Zhu
Summary: This study developed a sensitive method to measure the metallic components of atmospheric fine particulate matter (PM2.5) and compared the results with different analysis methods. The concentrations of metallic components in personal PM2.5 samples were found to be significantly different from corresponding fixed-site samples. Personal sampling can reduce exposure misclassifications, and measuring metallic components is useful for exploring health risks and identifying sources of PM2.5.
ATMOSPHERIC ENVIRONMENT
(2024)
Review
Environmental Sciences
Jamie Leonard, Lea Ann El Rassi, Mona Abdul Samad, Samantha Prehn, Sanjay K. Mohanty
Summary: Increasing concentrations of microplastics in the Earth's atmosphere could have adverse effects on ecosystems and human health. The deposition rate of airborne microplastics is influenced by both land use and climate, and a global analysis suggests that climate may have a greater impact on the concentration and deposition rate of microplastics than land use.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Tian Zhou, Xiaowen Zhou, Zining Yang, Carmen Cordoba-Jabonero, Yufei Wang, Zhongwei Huang, Pengbo Da, Qiju Luo, Zhijuan Zhang, Jinsen Shi, Jianrong Bi, Hocine Alikhodja
Summary: This study investigated the long-range transport and effects of North African and Middle Eastern dust in East Asia using lidar observations and model simulations. The results showed that the dust originated from multiple sources and had a long transport time. The vertical distribution of the dust was found to be crucial for assessing its impacts.
ATMOSPHERIC ENVIRONMENT
(2024)