Systematics of atmospheric environment monitoring in China via satellite remote sensing

Wang, Zhongting; Ma, Pengfei; Zhang, Lijuan; Chen, Hui; Zhao, Shuang; Zhou, Wei; Chen, Cuihong; Zhang, Yuhuan; Zhou, Chunyan; Mao, Huiqin; Wang, Yu; Wang, Yanlong; Zhang, Lianhua; Zhao, Aimei; Weng, Guirong; Hu, Kuiwei

doi:10.1007/s11869-020-00922-7

Cited by 24 publications

(6 citation statements)

References 47 publications

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“…For the energy-harvesting technique [ 4 ], research challenges on topologies and the energy management system [ 6 , 13 ], and the proposed system optimization, would increase the system reliability and scalability. Our discussion stresses the classification of coverage [ 5 , 6 , 7 , 8 ], practical challenges in the deployment of WSNs [ 8 , 9 , 10 ], QoS support [ 15 , 16 , 17 ], sensing models, and research issues in WSNs [ 11 , 12 ].…”

Section: Discussionmentioning

confidence: 99%

“…Atmospheric environmental monitoring plays a major role in monitoring the aerosol, particulate matter, haze, dust storms, straw burning, and gaseous pollutants that contribute to global warming. Three types of atmospheric monitoring use remote satellite sensing, and improved retrieval methods, product validation, local application, air quality monitoring, and control are all part of the network [ 10 ]. However, according to experts, the current monitoring precision is insufficient to meet the management demands of the atmospheric environment.…”

Section: Related Workmentioning

confidence: 99%

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Development of Wireless Sensor Network for Environment Monitoring and Its Implementation Using SSAIL Technology

Duobiene¹,

Ratautas²,

Trusovas³

et al. 2022

Sensors

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The Internet of Things (IoT) technology and its applications are turning real-world things into smart objects, integrating everything under a common infrastructure to manage performance through a software application and offering upgrades with integrated web servers in a timely manner. Quality of life, the green economy, and pollution management in society require comprehensive environmental monitoring systems with easy-to-use features and maintenance. This research suggests implementing a wireless sensor network with embedded sensor nodes manufactured using the Selective Surface Activation Induced by Laser technology. Such technology allows the integration of electrical circuits with free-form plastic sensor housing. In this work, a low-cost asynchronous web server for monitoring temperature and humidity sensors connected to the ESP32 Wi-Fi module has been developed. Data from sensor nodes across the facility are collected and displayed in real-time charts on a web server. Multiple web clients on the same network can access the sensor data. The energy to the sensor nodes could be powered by harvesting energy from surrounding sources of electromagnetic radiation. This automated and self-powered system monitors environmental and climatic factors, helps with timely action, and benefits sensor design by allowing antenna and rf-circuit formation on various plastics, even on the body of the device itself. It also provides greater flexibility in hardware modification and rapid large-scale deployment.

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Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Development of Wireless Sensor Network for Environment Monitoring and Its Implementation Using SSAIL Technology

Duobiene¹,

Ratautas²,

Trusovas³

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…It can be calculated based on the strong absorption of solar radiation by SO 2 in the near UV spectral range (Wang et al, 2020;Theys et al, 2019). For this detection, a technique called Differential Optical Absorption Spectroscopy (DOAS) is applied, leading to three separate heights of vertical column density (1 km, 7 km, 15 km) (Romahn et al, 2020;Hedelt et al, 2019).…”

Section: Remote Sensing For Air Pollution Monitoringmentioning

confidence: 99%

Greenwashing in the US Metal Industry? A Novel Approach Combining SO2 Concentrations From Satellite Data, a Plant-Level Firm Database and Web Text Mining

et al. 2022

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“…In urban areas, researchers have leveraged the high spatiotemporal resolution advantages of satellite remote sensing data to conduct many studies on the factors affecting air quality [30,31]. Initially, meteorological factors such as temperature, precipitation, relative humidity, and wind speed were introduced to explain the variations in China's Air Quality Index and air pollutants [31][32][33].…”

Section: Introductionmentioning

confidence: 99%

Spatial Distribution Characteristics of Urban Air Quality and the Spatial Heterogeneity of Driving Factors: A Case Study of Beijing

Tan,

Wu,

Chen

et al. 2024

Preprint

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Urban air pollution is a critical global environmental issue, necessitating an understanding of the spatiotemporal characteristics and driving factors for effective environmental protection and urban planning. This study introduced an advanced air quality assessment system that integrates environmental, socio-economic, and urban layout factors, addressing gaps in traditional models that often overlook the impact of urban spatial structures. Analyzing air quality data from Beijing's main urban area (2016-2020) alongside multi-source geographic data, the research develops a comprehensive evaluation system, incorporating 14 key driving factors. Employing Geographically Weighted Regression (GWR) and Multi-scale Geographically Weighted Regression (MGWR), the study quantitatively assessed the influence and spatial heterogeneity of these factors. Findings revealed an annual improvement in air quality, with a U-shaped seasonal pattern and significant spatial clustering (Global Moran’s I = 0.922). The MGWR model, in particular, provided a superior fit over GWR, effectively capturing the spatial variability of factors. Variables such as NDVI), economic output (GDP), and humidity space adjustment capability (HSAC) showed significant positive spatial impacts on air quality, while population density (POP), temperature (TEMP), and road density (RD) exhibited negative effects. These insights enhance the understanding of air pollution dynamics and aid in refining urban planning strategies.

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Systematics of atmospheric environment monitoring in China via satellite remote sensing

Cited by 24 publications

References 47 publications

Development of Wireless Sensor Network for Environment Monitoring and Its Implementation Using SSAIL Technology

Development of Wireless Sensor Network for Environment Monitoring and Its Implementation Using SSAIL Technology

Greenwashing in the US Metal Industry? A Novel Approach Combining SO2 Concentrations From Satellite Data, a Plant-Level Firm Database and Web Text Mining

Spatial Distribution Characteristics of Urban Air Quality and the Spatial Heterogeneity of Driving Factors: A Case Study of Beijing

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