检索结果-内蒙古大学图书馆

Meteorological and traffic effects on air pollutants using Bayesian networks and deep learning

JOURNAL OF ENVIRONMENTAL SCIENCES 2025年 152卷 54-70页

作者： Lin, Yuan-Chien Lin, Yu-Ting Chen, Cai-Rou Lai, Chun-Yeh Natl Cent Univ Dept Civil Engn 300 Zhongda Rd Taoyuan 32001 Peoples R China Natl Cent Univ Res Ctr Hazard Mitigat & Prevent Taoyuan 32001 Taiwan Natl Cent Univ Grad Inst Environm Engn Taoyuan 32001 Taiwan

Traffic emissions have become the major air pollution source in urban areas. Therefore, understanding the highly non-stational and complex impact of traffic factors on air quality is very important for building air quality prediction models. Using real-world air pollutant data from Taipei City, this study integrates diverse factors, including traffic flow, speed, rainfall patterns, and meteorological factors. We constructed a Bayesian network probability model based on rainfall events as a big data analysis framework to investigate understand traffic factor causality relationships and condition probabilities for meteorological factors and air pollutant concentrations. generalized additive model (GAM) verified non-linear relationships between traffic factors and air pollutants. Consequently, we propose a long short term memory (LSTM) model to predict airborne pollutant concentrations. This study propose a new approach of air pollutants and meteorological variable analysis procedure by considering both rainfall amount and patterns. Results indicate improved air quality when controlling vehicle speed above 40 km/h and maintaining an average vehicle flow < 1200 vehicles per hour. This study also classified rainfall events into four types depending on its characteristic. Wet deposition from varied rainfall types significantly affects air quality, with Type I rainfall events (long-duration heavy rain) having the most pronounced impact. An LSTM model incorporating GAM and Bayesian network outcomes yields excellent performance, achieving correlation R2 > 0.9 and 0.8 for first and second order air pollutants, i.e., CO, NO, NO2 , and NOx;and O3 , PM10 , and PM2.5 , respectively. (c) 2024 The Research Center for Eco-Environmental Sciences, Chinese Academy of

关键词： Air quality Rainfall pattern Traffic emissions generalized additive model Bayesian networks LSTM model

来源：评论

学校读者我要写书评

暂无评论

Nonlinear time effects of vegetation response to climate change: Evidence from Qilian Mountain National Park in China

引用

SCIENCE OF THE TOTAL ENVIRONMENT 2024年 933卷 173149页

作者： Li, Qiuran Gao, Xiang Li, Jie Yan, An Chang, Shuhang Song, Xiaojiao Lo, Kevin Lanzhou Univ Coll Earth & Environm Sci Lanzhou Peoples R China Hong Kong Baptist Univ Dept Geog Hong Kong Peoples R China

Vegetation responses to climate change are typically nonlinear with varied time effects, yet current research lacks comprehensiveness and precise definitions, hindering a deeper understanding of the underlying mechanisms. This study focuses on the mountain-type Qilian Mountain National Park (QMNP), investigating the characteristics and patterns of these nonlinear time effects using a generalized additive model (GAM) based on MODIS-NDVI, growing season temperature, and precipitation data. The results show that 1) The time effects of climate change on vegetation exhibit significant spatial variations, differing across vegetation types and topographic conditions. Accounting for optimal time effects can increase the explanatory power of climate on vegetation change by 6.8 %. Precipitation responses are mainly characterized by time-lag and time-accumulation effects, notably in meadows and steppes, while temperature responses are largely cumulative, especially in steppes. The altitude and slope significantly influence the pattern of vegetation response to climate, particularly in areas with high altitudes and steep slopes. 2) There is a significant nonlinear relationship between vegetation growth and both precipitation and temperature, with the nonlinear relationship between precipitation and vegetation being stronger than that with temperature, particularly in the western and central regions of the park. Different vegetation types exhibit significant variations in their response to climate change, with deserts and steppes being more sensitive to precipitation. 3) Precipitation is the primary driver of vegetation change in the QMNP, particularly for high-elevation vegetation and herbaceous vegetation. The complex temporal patterns of vegetation response to climate change in the QMNP not only deepen the understanding of the intricate relationship between regional vegetation and climate variability but also provide a methodological reference for global studies on vegetation

关键词： Climate change Time effect Nonlinear response generalized additive model Qilian Mountain National Park

来源：评论

学校读者我要写书评

暂无评论

Seasonal Particle Size Distribution and its Influencing Factors in a Typical Polluted City in North China

引用

AEROSOL AND AIR QUALITY RESEARCH 2024年第6期24卷 1-21页

作者： Wang, Wenxin Wang, Xiaohua Li, Xue Chen, Chao Wang, Yu Xing, Zhiwen Li, Kun Wei, Min Sui, Xiao Liu, Houfeng Shandong Normal Univ Coll Geog & Environm Jinan 250014 Peoples R China Rizhao Polytech Rizhao 276826 Peoples R China Shandong Normal Univ Ctr Environm Technol & Policy Res Jinan 250014 Peoples R China

In this study, the particle size distribution and its influencing factors were conducted using a multi -channel particle size sensor coupled with Pearson and generalized additive model (GAM) during winter 2021 to autumn 2022 in Jinan, North China. The results revealed that heavy pollution episodes were mainly caused by fine particles (PM(< 1 )and PM1-2.5 ) in winter and coarse particles (PM2.5-10 and PM> 10) in spring. Pearson and generalized additive model (GAM) analysis indicated PM2.5 was positively correlated with relative humidity (RH), CO, NO2 , SO2 , and PM2.5-10 concentrations, negatively correlated with wind speed, O-3 and coarse particles (PM>10) concentrations. Moreover, there was also a strong correlation between PM 2.5 concentration and meteorological-air pollutant factors interactions. PM 2.5-10 was found to be positively correlated with gaseous pollutants such as NO2 , SO2 , and CO, as well as RH and air pressure. Besides, PM>10 was positively associated with CO, SO2 , and RH, but negatively correlated with NO2 and wind speed. The particle size distribution was also effected by regional transport, particular in winter and spring. In detail, PM(2.5 )and PM2.5-10 were mainly transported from the east and north, PM>10 mainly from the north and southwest in winter. In spring, particle matters were mainly transported from the northeast and southeast, and PM2.5 was more influenced by northeast short -range transport. Local particulate generation was mainly raised by mobile sources from vehicles and industries such as oil refineries, chemical plant and steel plants. Therefore, the emission controls on VOCs, NO2 , SO2 and regional joint pollution prevention are preferred to reduce urban air pollution in future.

关键词： Air pollution Size distribution generalized additive model Long-range transport

来源：评论

学校读者我要写书评

暂无评论

A quantitative approach to ranking management actions for an endangered pool-breeding amphibian

引用

JOURNAL OF ENVIRONMENTAL MANAGEMENT 2025年 373卷 123556页

作者： O'Brien, Aidan E. Cook, David G. Martinelli, Stacy Fawcett, Michael H. Searcy, Christopher A. Univ Miami Dept Biol 1301 Mem Dr 227 Cox Bldg Coral Gables FL 33146 USA 3003 Magowan Dr Santa Rosa CA 95405 USA Calif Dept Fish & Wildlife 3633 Westwind Blvd Santa Rosa CA 95403 USA Fawcett Environm Consulting 598 South First St Dunsmuir CA 96025 USA

Management of vulnerable amphibian populations requires a better understanding of the habitat factors that will make the greatest difference in their preservation. We set out to develop a predictive model of amphibian abundance based on habitat characteristics that may influence their survival and persistence. Our study system was the Sonoma County California tiger salamander (Ambystoma californiense;SCTS), an amphibian threatened by habitat loss and fragmentation. In 2019, 298 ponds (almost every breeding pond in this federally endangered Distinct Population Segment) were surveyed to determine SCTS larval densities, a proxy for population wellbeing. We used model selection to identify which factors of pool morphology, the surrounding pool neighborhood, and terrestrial upland habitat best predict variation in larval densities. Our best model showed a significant positive relationship between larval SCTS densities and three variables: pool depth, number of breeding pools within 500 m of a focal pool, and amount of suitable and accessible upland habitat within 1500 m of a pool. To further refine this model, we then examined interactions and non-linearities using a generalized additive model. Based on this refined model, we simulated a variety of management scenarios to identify which management practices would most increase larval densities across the endangered Distinct Population Segment and where on the landscape employing each mitigation action would yield the greatest return. This provides the basis for a county-wide Habitat Conservation Plan for SCTS, and highlights habitat characteristics likely critical to the conservation of other pond-breeding amphibians.

关键词： Ambystoma Habitat conservation plan generalized additive model Amphibian conservation

来源：评论

学校读者我要写书评

暂无评论

Optical Remote Sensing Analysis of Exhaust Emissions During Aircraft Taxiing at Hefei Xinqiao International Airport

引用

REMOTE SENSING 2025年第4期17卷 664-664页

作者： Qin, Yusheng Han, Xin Li, Xiangxian Gui, Huaqiao Xue, Weiwei Gao, Minguang Tong, Jingjing Zhang, Yujun Shi, Zheng Chinese Acad Sci Hefei Inst Phys Sci Anhui Inst Opt & Fine Mech Hefei 230031 Anhui Peoples R China Anhui Civil Aviat Airport Grp Co Ltd Hefei 230088 Peoples R China China Eastern Airlines Co Ltd Anhui Branch Hefei 230088 Peoples R China

The taxiing stage of an aircraft is characterized by its long duration, low operating thrust, and low combustion efficiency, resulting in substantial emissions of CO, CO2, and VOCs, which adversely affect air quality near airports. This study has developed an open-path Fourier transform infrared spectroscopy (OP-FTIR) monitor with second-level time resolution to enable the optical remote monitoring of pollutants during taxiing. Measurements of CO, CO2, and VOCs were conducted over one month at Hefei Xinqiao International Airport (HXIA). The generalized additive model (GAM) is used for data analysis to reveal complex nonlinear relationships between aircraft emission concentrations and meteorological factors, aircraft models, and their corresponding registration numbers. The GAM analysis shows that among meteorological factors, humidity, and atmospheric pressure have the most significant impact on aircraft exhaust monitoring, with a relative average contribution value as high as approximately six. The explanatory power of aircraft models for emissions is low (R-2 < 0.18), whereas that of registration numbers is high (R-2 > 0.6), suggesting that individual differences between aircrafts play a crucial role in emission concentration variations. Furthermore, a noticeable correlation was found between the CO/CO2 ratio and volatile organic compound (VOC) concentrations (R-2 > 0.63), indicating that combustion efficiency significantly affects VOC emissions. This study not only advances the real-time remote sensing monitoring of pollutants during aircraft taxiing but also underscores the crucial role of the GAM in identifying the key drivers of emissions, providing a scientific basis for precise environmental protection management and policy-making.

关键词： aircraft emissions optical monitoring meteorological factors generalized additive model

来源：评论

学校读者我要写书评

暂无评论

Meteorology Driven Ozone Variability

引用

OZONE-SCIENCE & ENGINEERING 2025年

作者： Santra, Samrat Patra, Aditya Kumar Penchala, Abhishek Mishra, Namrata Pradhan, Dhruti Sundar Indian Inst Technol Kharagpur Sch Environm Sci & Engn Kharagpur 721302 India Indian Inst Technol Kharagpur Dept Min Engn Kharagpur 721302 India

Meteorology plays a significant role in influencing ground-level ozone (O-3) concentrations that can adversely affect public health through exposure to elevated O-3 levels. Currently, regulatory compliance measurements rely on large, expensive instruments that provide O-3 averaged data over extended periods. In recent years, continuous air quality monitoring stations have gained popularity for real-time O-3 monitoring in outdoor environments (mostly in metropolitan cities). However, there is a lack of comprehensive studies evaluating the impact of local meteorological conditions on O-3 levels in both road and rural settings. This study aims to assess the interaction between major meteorological variables and O-3 concentrations at a high-traffic road site and no-traffic rural site. A comparative analysis was conducted using high-precision reference instruments in uncontrolled outdoor environments. Single-factor GAM (generalized additive model) demonstrated strong performance (R-2 = 0.95-0.96) and deviance explained (95-96%). When paired variables were incorporated, the multi-factor GAM further improved performance and explained 97-99% of the variability in O-3 concentrations. The multi-factor GAM outperformed the GLM (generalized linear model) (R-2 = 0.88-0.89) and achieved superior results (R-2 = 0.979-0.987;deviance explained = 98.2-98.8%) in accurately predicting O-3 levels and can be applied in various occupational environments like personal exposure monitoring among industry workers.

关键词： generalized additive model meteorological Influence nonlinear effects O-3 Concentration paired Interaction

来源：评论

学校读者我要写书评

暂无评论

Time series analysis of the impact of air pollutants on influenza-like illness in Changchun, China

引用

BMC PUBLIC HEALTH 2025年第1期25卷 1-13页

作者： Pan, Yang Yao, Laishun Huang, Biao He, Yinghua Xu, Changxi Yang, Xianda Ma, Yingying Wang, Zhidi Wang, Xingyu Zhu, Hong Wang, Man Song, Lijun Liu, Xiao Yu, Guiping Ye, Lin Zhou, Liting Jilin Prov Acad Prevent Med Sci Jilin Prov Ctr Dis Control & Prevent Changchun Jilin Peoples R China Changchun Ctr Dis Control & Prevent Changchun Jilin Peoples R China First Hosp Jilin Univ Changchun Jilin Peoples R China Changchun Childrens Hosp Changchun Jilin Peoples R China Jilin Univ Sch Publ Hlth Changchun Jilin Peoples R China

Background Emerging evidence links air pollution to respiratory infections, yet systematic assessments in cold regions remain limited. This study evaluates the short-term effects of six major air pollutants on influenza-like illness (ILI) incidence in Changchun, Northeast China, with implications for air quality management and respiratory disease prevention. Methods ILI surveillance data from Changchun were extracted from "China Influenza Surveillance Network" and the ambient air quality monitoring data of the city were collected from 2017 to 2022. A generalized additive model (GAM) with quasi-Poisson regression analysis was employed to quantify pollutant-ILI associations, adjusting for meteorological factors and temporal trends. Results Among 84,010 ILI cases, immediate exposure effects were observed: each 10 mu g/m(3) increase in PM2.5 (ER = 1.00%, 95% CI: 0.63-1.37%), PM10 (0.90%, 0.57-1.24%), and O-3 (1.05%, 0.44-1.67%) significantly elevated ILI risks. Young and middle-aged individuals (25-59 years old) exhibited the highest susceptibility to five pollutants (PM2.5, PM10, SO2, O-3, and CO), and age subgroups under 15 years old exhibited susceptibility to NO2. Post-COVID-19 outbreak showed amplified effects across all pollutants (p < 0.05 vs. pre-outbreak). The effects of PM2.5, PM10, SO2 and O-3 on ILI cases were greater in the cold season (October to March) (p < 0.05). Conclusions PM2.5, PM10, and O-3 exposure significantly increases ILI risks in Changchun, particularly among young/middle-aged populations during cold seasons and post-pandemic periods. These findings underscore the urgency for real-time air quality alerts and targeted protection strategies during high-risk periods to mitigate respiratory health burdens.

关键词： Air pollutants Influenza-like illness generalized additive model Infectious disease

来源：评论

学校读者我要写书评

暂无评论

Effects of rainfall, sediment source-sink landscape, and hydrological connectivity on runoff more than sediment in a karst basin

引用

LAND DEGRADATION & DEVELOPMENT 2024年第5期35卷 1748-1762页

作者： Gao, Jiayong Li, Rui Shu, Dongcai Wu, Qinglin Xiao, Linlv He, Maolin Guizhou Normal Univ Sch Karst Sci Guiyang Peoples R China State Engn Technol Inst Karst Desertificat Control Guiyang Peoples R China Guizhou Hydrol & Water Resources Bur Guiyang Peoples R China

Understanding the mechanisms underlying soil and water loss in karst basins is beneficial for water resources management and soil and water loss conservation. However, the effects of rainfall, sediment source-sink landscape, and hydrological connectivity on runoff sediment characteristics in karst basins are unclear. This study used sediment source-sink landscape and hydrological connectivity theories and a generalized additive model to analyze the changes and combined effects of sediment source-sink landscape patterns, hydrological connectivity, and rainfall on runoff sediment from 2000 to 2020 in the Yeji River basin in the karst region of southwest China. The results indicated that the average sediment transport modulus and runoff modulus in the Yeji River basin during 2000-2020 were 144 t center dot km-2 center dot a-1 and 15 L center dot s-1 center dot km-2, respectively. The karst surface and subsurface double-layer hydrological structure resulted in a lower sediment transport modulus than in non-karst areas. The sediment-source landscape area decreased, sediment-sink landscape area increased, and sediment source-sink landscape load ratio index slightly increased. Hydrological connectivity exhibited a decreasing trend over time, but the overall change was small. Changes in source-sink landscape patterns significantly affected hydrological connectivity. As the main affecting factor, rainfall and its combined effects with sediment source-sink landscape patterns and hydrological connectivity explained 85% and 95% of the variances in runoff, and 40% and 63% of the variances in sediment, respectively. These results suggest that a rational layout of the sediment source-sink landscape can effectively improve hydrological connectivity and regulate the soil and water loss process. Our findings have important implications for karst basin ecological restoration and protection.

关键词： generalized additive model hydrological connectivity karst basin sediment source-sink landscape model soil erosion

来源：评论

学校读者我要写书评

暂无评论

NICHE BASED DISTRIBUTION modelLING AND MAPPING OF BRUTIAN PINE IN THE GÖLHISAR DISTRICT

引用

SUMARSKI LIST 2024年第11-12期148卷 541-553页

作者： Senturk, Ozdemir Burdur Mehmet Akif Ersoy Univ Golhisar Vocat Sch Dept Forestry TR-15400 Golhisar Burdur Turkiye

The purpose of this work was to elucidate the fundamental characteristics and application areas of various modelling techniques that are widely employed in current ecological modelling research. Using five distinct distribution modelling techniques, possible species distribution modelling and mapping of the Brutian pine species in the G & ouml;lhisar district were conducted. The data was collected from Brutian pine species in 400 sampling plots in the area. The variables used in the models were elevation, slope, aspect, radiation index, heat index, topographic position index and bedrock types. Logistic regression, classification tree, random forest, generalized additive model and maximum entropy were used as the species distribution modelling methods. Receiver Operating Characteristics (ROC) curves were created and the performance of the species distribution models was evaluated with the Area Under the ROC curve (AUC). The statistical analyses revealed that the best models were generalized additive model, random forest, classification tree, maximum entropy and logistic regression, respectively. Elevation and bedrock types had the highest contribution to the Brutian pine distribution models. The outputs of the generalized additive model technique that had the highest AUC value were mapped. Some ecological and statistical differences were found between the models and their reasons were presented. Compared to the methods commonly used in species distribution modelling studies, generalized additive model technique has a specific smoothing function which ensures both fittings between the environmental changes and explanatory curves and more accurate ecological interpretation of the models obtained.

关键词： classification tree ecological modelling generalized additive model logistic regression MaxEnt random forest

来源：评论

学校读者我要写书评

暂无评论

Understanding the coupling effect of multiple urban features on land surface temperature in Europe

引用

URBAN FORESTRY & URBAN GREENING 2025年 105卷

作者： Ren, Yaxue Feng, Fei Elia, Mario Giannico, Vincenzo Sanesi, Giovanni Lafortezza, Raffaele Univ Bari Aldo Moro Dept Soil Plant & Food Sci Via Amendola 165-A I-70126 Bari Italy Beijing Forestry Univ Res Ctr Urban Forestry Key Lab Silviculture & Forest Ecosyst State Forest Beijing 100083 Peoples R China

Cities in Europe are facing significant challenges as rising temperatures exacerbate health risks, energy consumption, and environmental degradation. This study investigates the multiple features affecting land surface temperature (LST) across 780 European cities, categorized into eight macro-regions. The methodology involved utilizing SHAP values to interpret the results of a Random Forest model that evaluated the impact of individual urban features on LST. Additionally, the generalized additive model (GAM) was employed to explore non-linear relationships between key urban features and LST, offering a deeper understanding of how specific features influence urban temperatures. The results highlight the important cooling effects of ecological attributes like tree height and evapotranspiration, particularly in warm regions (e.g., the Iberian Peninsula and Turkey). Conversely, urban structure elements like built-up volume were shown to increase LST. GAM analysis further revealed nonlinear relationships, such as the diminishing returns of evapotranspiration (ET) on cooling in the Iberian Peninsula, where LST decreased sharply at ET < 3-4.5 mm/d but plateaued at higher values. These results emphasize the complexity of urban climate regulation, where ecological and built environments interact in diverse ways across different regions. This study underscores the importance of region-specific urban planning strategies that integrate both ecological and urban structure features to effectively mitigate the effects of urban heat. The findings offer actionable insights for policymakers seeking to enhance urban climate resilience and manage the growing challenges posed by global warming in European cities.

关键词： SHapley additive exPlanations generalized additive model Land surface temperature Urban structure Urban landscape Ecological attributes

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：