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International Radar Symposium (IRS)

作者： Felix Yanovsky Igor Prokopenko Anna Rudiakova Huinam Rhee Dept. of Electronics Robotics Monitoring & IoT Technologies National Aviation University Kyiv Ukraine Dept. of Geoscience and Remote Sensing Faculry of CEG Delft University of Technology Delft The Netherlands Dept. of Telecommunication and Radioelectronic Systems National Aviation University Kyiv Ukraine Dept. of Aerospace Engineering Aerospace Research Center Sunchon National University Republic of Korea

The generalized mathematical and computer model of clutter is developed. It is based on K-distribution and can be used for simulation of sea, atmospheric, and land clutter with different characteristics. Examples of m... 详细信息

ISBN: (数字)9788395602054

ISBN: (纸本)9781665466301

关键词： Atmospheric modeling Computational modeling Radar clutter Radar detection Mathematical models Clutter Detection algorithms

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Intelligent Identification of Building Patches and Assessment of Roof Greening Suitability in High-density Urban Areas:A Case Study of Chengdu

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Journal of Resources and Ecology 2022年第2期13卷 247-256页

作者： LUO Luhua CHEN Mingjie DONG Lulu SU Wei LI Xin HU Xiaodong ZHANG Xin LI Chen CHENG Weiming SHI Hanning LUO Jiancheng Faculty of Geomatics Lanzhou Jiaotong UniversityLanzhou 730070China National-Local Joint Engineering Research Center of Technological and Application for National Geographic State Monitoring Lanzhou 730070China Gansu Provincial Engineering Laboratory for National Geographic State Monitoring Lanzhou 730070China College of Geoscience and Surveying Engineering China University of Mining&Technology(Bejing)Beijing 100083China School of Earth Science and Engineering Hebei University of EngineeringHebei 056000China Tianjin University Urban Planning and Design Institute Co.Ltd Tianjin 300072China State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China The ImageSky International Co.Ltd SuzhouJiangsu 215000China Aerospace Information Research Institute Chinese Academy of SciencesBeijing 100101China School of Architecture Tianjin UniversityTianjin 300072China

With the expansion of a city,the urban green space is occupied and the urban heat island effect is *** the roof surfaces of urban buildings is an effective way to increase the area of urban green space and improve the urban ecological *** provide effective data support for urban green space planning,this paper used high-resolution images to(1)obtain accurate building spots on the map of the study area through deep learning assisted manual correction;and(2)establish an evaluation index system of roof greening including the characteristics of the roof itself,the natural environment and the human society *** weight values of attributes not related to the roof itself were calculated by Analytic Hierarchy Process(AHP).The suitable green roof locations were evaluated by spatial join,weighted superposition and other spatial analysis *** the areas within the Chengdu city’s third ring road as the study area,the results show that an accurate building pattern obtained by deep learning greatly improves the efficiency of the *** roof surfaces unsuitable for greening can be effectively classified by the method of feature extraction,with an accuracy of 86.58%.The roofs suitable for greening account for 48.08%,among which,the high-suitability roofs,medium-suitability roofs and low-suitability roofs represent 45.32%,38.95%and 15.73%.The high-suitability green buildings are mainly distributed in the first ring district and the western area outside the first ring district in *** paper is useful for solving the current problem of the more saturated high-density urban area and allowing the expansion of the urban ecological environment.

关键词： deep learning roof greening suitability assessment spatial join weighted overlay

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Wireless underground sensor networks

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International Journal of Performability engineering 2019年第11期15卷 3042-3051页

作者： Sardar, Muhammad Sohail Xuefen, Wan Yi, Yang Kausar, Farzana Akbar, Mohammad Wasim Hebei IoT Monitoring Engineering Technology Research Center North China Institute of Science and Technology Langfang065201 China College of Information Science and Technology Donghua University Shanghai201600 China Department of Computer Science and Technology North China Institute of Science and Technology Langfang065000 China Information Security Department Dubai Electricity and Water Authority Dubai00000 United Arab Emirates Pra Health Sciences EdinburghEH93GJ United Kingdom

With the development of sensing networks and Internet of things, wireless sensor networks have been applied to different fields of our society. With the perceived sensing demands for soil, mining lanes, etc., wireless underground sensor networks (WUSNs) have developed rapidly recently. Compared to typical terrestrial wireless sensor networks, WUSNs have unique applications and features due to their wireless transmission characteristics and layout environments, especially WUSNs in soil. In this paper, we discuss the wireless propagation characteristics and engineering implementation methods of WUSNs in tunnels/tubes/pipelines/lanes and WUSNs in soil. The prospects for the future development of WUSN are discussed as well. © 2019 Totem Publisher, Inc. All rights reserved.

关键词： Soils

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Recent advances and future research directions in the study of land-atmosphere interaction in northern China since the beginning of the 21st century

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Science China Earth Sciences 2025年第6期 1821-1852页

作者： Qiang ZHANG Rong WANG Ping YUE Hongyu LI Sheng WANG Jian ZENG Liang ZHANG Zesu YANG Suping WANG Jie ZHANG Liang QIAO Hongli ZHANG Xueyuan REN Lu ZHANG Yulong REN Yanying LI Jianshun WANG Lanzhou Institute of Arid Meteorology China Meteorological Administration/Gansu Provincial Key Laboratory of Arid Climate Change and Disaster Reduction Gansu Meteorological Administration Hebei International Joint Research Center for Remote Sensing of Agricultural Drought Monitoring/School of Land Science and Space Planning Hebei GEO University School of Atmospheric Sciences Chengdu University of Information Technology/Sichuan Provincial Key Laboratory of Plateau Atmosphere and Environment School of Atmospheric Sciences Nanjing University of Information Science and Technology Department of Atmospheric and Oceanic Sciences/Institute of Atmospheric Sciences Fudan University School of Resources and Environmental Engineering Tianshui Normal University School of Physics Peking University Wuwei Meteorological Bureau

The northern region of China is not only a sensitive area for global climate change and a key region with prominent monsoon climate, but also a “hotspot” for global land-atmosphere coupling. Terrain and geomorphology in this area are complex with a large spatiotemporal variation in land surface characteristics, and the climate dynamics of land-atmosphere interaction is relatively significant. In addition, affected by interactions between circulation systems in the mid-to high latitudes and low latitudes, atmospheric circulations in this area are relatively active, which makes it easy to induce extreme meteorological events such as droughts, sand storms, rainstorms, and hail. In view of this, from the perspective of scientific innovation, the main research works in the field of land-air interaction in northern China since this century are systematically summarized. Seven new research advancements have been outlined, including the comprehensive observational and experimental system of landatmosphere interaction in northern China, the spatiotemporal changes in physical quantities involved in land surface processes and their responses to summer monsoon, the response characteristics of land surface evapotranspiration to climate warming, land surface process parameters and parameterization schemes, the mechanism of land surface energy and water imbalance, the spatiotemporal changes and influence mechanisms of atmospheric boundary layer, and the relationship of land-atmosphere interaction with weather and climate. Based on the research progress summarized in this paper and the cutting-edge international study trend, we propose six key breakthroughs in the future for the study in this field:(1) the study should be based on the implementation and development of a new meteorologically integrated operational observation system that can observe and test conventional land-atmosphere interaction,(2) we need to improve our understanding of multi-interface exchange processes involv

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Masr: A Novel monitoring Method Coupled with Interpretation Platform for Near-Term Management in Thermal Stratified Reservoirs

SSRN

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SSRN 2022年

作者： Sun, Bowen Zong, Qingzhi Zhang, Yuanning Wang, Haoqing Ding, Chen Qi, Zhanfeng Bao, Zhu Liu, Xiaobo Liu, Yinzhu Gao, Xuping State Key Laboratory of Hydraulic Engineering Simulation and Safety Tianjin University Tianjin 300350 China School of Civil Engineering Tianjin University Tianjin 300350 China National Ocean Technology Center Tianjin 300112 China Luanhe River Water Quality Monitoring Center of Haihe River Basin Luan River Diversion Project Management Bureau of Haihe River Water Conservancy Commission Hebei Tangshan064309 China Institute of Water Ecology and Environment China Institute of Water Resources and Hydropower Research Beijing100038 China

Good water quality is critical to public health and aquatic ecological security of global reservoirs. In stratified reservoirs, increasing near-term management demands foster extremely high monitoring and forecasting needs. In this study, a management assistant for stratified reservoirs (MASR) was developed, including a wave-driven monitoring platform and interpretation platform for multiple reservoir water quality variables. The wave-driven platform can adapt to the characteristics of water level changes and transmit the monitoring data through a mobile network to the reservoir manager, which are processed by the interpretation platform in real time for near-term management. After several months of application, MASR monitored 1237 groups of valid profile water quality data with an acceptable error, which showed a strong capacity for capturing the water quality dynamics in a stratified reservoir. The effective identification of thermal stratification structures and anoxic zones can help managers to design withdrawal schemes for reservoirs. Moreover, the prediction of algae state based on the back propagation (BP) neural network provided the basis for making operation plans to proactively control algae blooms. Our study provides an economical and convenient solution for stratified reservoirs to address near-term management issues. © 2022, The Authors. All rights reserved.

关键词： monitoring

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Regional pollution source apportionment and emission thresholds determination in Zunyi's major watersheds: Implications for environmental management

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Environmental Pollution 2025年 381卷 126640页

作者： Zhao, Keke Gan, Yujin Li, Chen Guan, Xiao Wang, Zhenbei Li, Fan Liu, Yatao Qi, Fei Zhu, Xingcheng Beijing Key Lab for Source Control Technology of Water Pollution College of Environmental Science and Engineering Beijing Forestry University Beijing100083 China Hebei Province Key Laboratory for Emerging Contaminant Remediation and Risk Prevention and Elimination Beijing Forestry University Hebei Xiong'an New Area072350 China State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental Sciences Beijing100012 China Zunyi Environmental Protection Monitoring Center Station Zunyi563000 China

Zunyi City, in the Yangtze River Economic Belt, faces significant pollution challenges in the Wujiang and Chishui watersheds. This study analyzed water quality changes from 2021 to 2023. To support current and future water environment management, pollutant emissions in 2022 were estimated, and major pollutants were traced during flood and non-flood seasons. Emission thresholds were established for districts and counties firstly, identifying key areas for pollution control. This research innovatively integrates urban non-point sources and forest soil erosion into emissions calculations and introduces pollution emissions threshold. Results indicate that agricultural non-point sources, particularly livestock farming and crop cultivation, are the dominant contributors to watershed pollution, while urban non-point sources play a comparatively minor role, for both two studied watersheds. Natural factors including drought and forest soil erosion also significantly influence pollution degree, particularly during flood seasons when increased erosion intensifies pollutant transport, which was especially pronounced for Chishui watershed. Methodologically, the Positive Matrix Factorization (PMF) model demonstrated greater accuracy and reliability than the Absolute Principal Component Scores-Multiple Linear Regression (APCS-MLR) model in apportioning complex pollution sources, for both two studied watersheds. Based on pollution emissions and source apportionment, regional emission thresholds for COD, NH3-N, TN, and TP were proposed. The results reveal that COD emissions in Xishui, Huichuan, Bozhou, and Chishui exceeded their respective thresholds, with TN and TP also surpassing limits in some areas. In summary, this study provides a scientific basis for targeted water quality management in Zunyi City and validates the PMF model as a reliable tool for source apportionment in complex watershed environments. © 2025 Elsevier Ltd

关键词： River pollution

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Wireless Sensor Node with Lightning and Atmospheric Pressure Detection for Severe Convective Weather Warning Networks

Wireless Sensor Node with Lightning and Atmospheric Pressure...

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2018 International Symposium in Sensing and Instrumentation in iot Era, ISSI 2018

作者： Wan, Xue-Fen Yi, Yang Jian, Cui Hebei IoT Monitoring Engineering Technology Research Center North China Institute of Science and Technology Langfang065201 China Department of Computer Science and Technology North China Institute of Science and Technology Langfang065201 China College of Information Science and Technology Donghua University Shanghai201620 China School of Electronics and Information Engineering Beijing University of Aeronautics and Astronautics Beijing100083 China

ISBN: (纸本)9781538656389

Severe convective weather is a meteorological phenomenon with greater destructive power. Aiming at the demand of early warning for severe convective weather, a wireless sensor network node design with atmospheric pressure and lightning sensing is proposed. The node has PSoC as the MCU of the node, LoRa as the wireless transmission means, and is added a highly integrated atmospheric pressure and lightning sensor. By these ways, the node design with high degree of integration and functional flexibility is realized. Test results show that nodes can effectively monitor pressure and lightning activity. And it has strong communication ability too. In addition, the node also has the advantages of low cost, high reliability, easy upgrade, convenient layout, etc. The node is expected to be candidate to provide the corresponding technical support for early warning service about severe convictive weather. © 2018 IEEE.

关键词： System-on-chip

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Correction to: Selenium and Bacillus proteolyticus SES increased Cu-Cd-Cr uptake by ryegrass: highlighting the significance of key taxa and soil enzyme activity

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Environmental science and pollution research international 2024年第23期31卷 34756页

作者： Huan Zhang Min Nie Xiaoping Du Suhua Chen Hanliang Liu Chihhung Wu Yanni Tang Zheng Lei Guangyu Shi Xiaohu Zhao College of Resources and Environment Huazhong Agricultural University / Research Center of Trace Elements Wuhan 430070 China. Key Laboratory of Se-enriched Products Development and Quality Control Ministry of Agriculture and Rural Affairs / National-Local Joint Engineering Laboratory of Se-enriched Food Development Ankang 725000 China. National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization (Nanchang Hangkong University) Nanchang 330063 China. Key Laboratory of Geochemical Exploration Institute of Geophysical and Geochemical Exploration CAGS Langfang 065000 Hebei China. Fujian Provincial Key Laboratory of Resources and Environment Monitoring & Sustainable Management and Utilization Sanming University Sanming 365004 China. School of Environmental Science and Engineering Suzhou University of Science and Technology Suzhou 215009 China. College of Resources and Environment Huazhong Agricultural University / Research Center of Trace Elements Wuhan 430070 China. xhzhao@***. Key Laboratory of Se-enriched Products Development and Quality Control Ministry of Agriculture and Rural Affairs / National-Local Joint Engineering Laboratory of Se-enriched Food Development Ankang 725000 China. xhzhao@***.

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Experimental Analysis of LoRa CSS Wireless Transmission Characteristics for Forestry monitoring and Sensing

Experimental Analysis of LoRa CSS Wireless Transmission Char...

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International Symposium in Sensing and Instrumentation in iot Era (ISSI)

作者： Muhammad Sohail Sardar Yang Yi Wan Xue-fen Jiaying Huang Jiansheng Zhang Xiaoze Qin Qing Zhao Yifei Wang Muhammad Ather Iqbal College of Information Science and Technology Donghua University Shanghai China Hebei IoT Monitoring Engineering Technology Research Center North China Institute of Science and Tecnology Langfang China

ISBN: (纸本)9781538656396

Wireless sensor networks play an important part in forestry monitoring and sensing. LoRa low-power wide area network technology is based on CSS (Chirp Spread Spectrum) and provides new technical means for forestry wireless monitoring, sensing and other forestry applications. For the needs of the forestry application, the experimental analysis about the wireless transmission characteristics of LoRa in forest lands is conducted. Various factors such as different antenna heights and different data packet lengths, which had important influence on transmission characteristics in forest, are analyzed. The research results show that LoRa technology had a good transmission effect among forest and is expected to be candidate for forestry monitoring and sensing in the future.

关键词： Forestry Wireless sensor networks monitoring Wireless communication Information science Logic gates Data models

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Smartphone based LoRa in-soil propagation measurement for wireless underground sensor networks

Smartphone based LoRa in-soil propagation measurement for wi...

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2017 IEEE Conference on Antenna Measurements and Applications, CAMA 2017

作者： Xue-Fen, Wan Xing-Jing, Du Yi, Yang Jing-Wen, Zhang Sardar, Muhammad Sohail Jian, Cui Hebei Engineering Technology Research Center for IoT Data Acquisition and Processing North China Institute of Science and Technology Hebei China College of Information Science and Technology Donghua University Shanghai China Engineering Training Center Beijing University of Aeronautics and Astronautics Beijing China

ISBN: (纸本)9781509050284

LoRa offers new communication solution for wireless underground sensor networks in soil. A smartphone based LoRa in-soil propagation measurement is proposed in this paper. The measurement system (named LoRa Wizard) consists of smartphones and testing nodes. The design of App in Android smartphone and the corresponding testing node is discussed in detail. The LoRa in-soil propagation characteristics in municipal garden area and farmland are experimentally measured with LoRa Wizard. The LoRa Wizard has shown some advantages of low cost, high reliability, high flexibility and ease of use. It can provide technical supports for design, installation and maintenance of LoRa wireless underground sensor networks in agriculture, accident prevention and other fields. © 2017 IEEE.

关键词： Soils

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