Name: Jiang Yefeng Title: Lecturer/Master Supervisor
E-mail : jiangyefeng@jxau.edu.cn
Research direction:
1. Identification of contaminated sites and soil environment informatization
2. Soil digital mapping and environmental sustainable development
3. Remote sensing identification of cultivated land and soil structural obstacles
Personal Profile
Jiang Yefeng, male, born in 1994 , graduated with a Ph.D. from Zhejiang University in March 2023. His main research areas are remote sensing and information technology for resources and environment. So far, he has published more than 60 papers in mainstream journals in the fields of soil, environment and remote sensing, such as Journal of Cleaner Production, Environmental Pollution, Science of the Total Environment, Journal of Environmental Management, Catena, Soil Biology and Biochemistry, Journal of Soils and Sediments, Geocarto International, Environmental Science, Acta Pedologica Sinica, etc. Among them, he has 17 SCI papers as the first author / corresponding author / co - author , 17 papers in Chinese core journals , and 1 paper was selected as the top 5000 academic paper leaders of China's fine science and technology journals in 2021 ; he has presided over or participated in many key R&D plan projects, the Chinese Academy of Sciences' forward-looking strategic science and technology pilot projects, and the Zhejiang Province key R&D plan projects. He served as the first young editorial board member of the Journal of Southwest Agriculture and an anonymous reviewer for more than ten SCI journals, including Journal of Cleaner Production , Science of the Total Environment , Catena , Soil & Tillage Research , Journal of Soils and Sediments , Ecological Indicators , Ecological Informatics and Environmental Earth Sciences .
Teaching situation
Undergraduate courses: Scientific paper writing, land information system, precision agriculture
Research
1. Scientific research projects
[1] National Key R&D Program, Diagnostic Indicators and Evaluation System for Structural Barrier Factors in Red Soil, 2023.12 - 2026.12 ; Principal Investigator, RMB 720,000
[2] Research project of the Chinese Academy of Sciences, Distribution pattern, evolution and driving factors of abandoned land in the southern red soil region, 2024.5 - 2027.12 ; Principal Investigator, RMB 500,000
[3] Jiangxi Agricultural University, PhD start-up fee, 2023.05 - 2028.12 ; Principal Investigator, RMB 300,000
[4] National Key R&D Project, Contaminated Site Information Management Database and Visual Management Platform, 2018.12 - 2022.11 ; Participant (Executive Director), RMB 2.38 million
[5] National Key R&D Project, Research on Big Data System for Identification and Assessment of Site Soil and Groundwater Pollution, 2018.12 - 2022.12 ; Participant (Executive Director), RMB 2.29 million
[6] National Key R&D Project, Research and Development of On-site Intelligent Detection Equipment Integration and Real-time Assessment and Early Warning System for Heavy Metals in Soil, 2022.10 - 2026.09 ; Participant, RMB 4.75 million
[7] Zhejiang Province Key R&D Project, Coordinated Remediation of Soil and Water Pollution and Ecological Restoration in Typical Industrial Areas, 2020.01 - 2022.12 ; Participant, RMB 5 million
[8] Zhejiang Province Key R&D Project, Ecological Environment Safety Intelligent Monitoring Technology and Equipment R&D, 2022.01 - 2024.12 ; Participant, RMB 5 million
2. Academic Papers
[1] Li WF, Jiang YF*, Ye YC, et al. Spatiotemporal interpretable mapping framework for soil heavy metals. Journal of Cleaner Production. 2024, 468: 143101.
[2] Huang J, Liu J, …, Jiang YF*. Mapping soil properties in the Haihun River Sub-Watershed, Yangtze River Basin, China, by integrating machine learning and variable selection. Sensors, 2024, 24: 3784.
[3] Jiang YF, Ye YC, Sun CK, et al. Monitoring public perceptions of contaminated sites based on social media. Ecological Informatics, 2024, 81: 102650.
[4] Jiang YF, Guo X, Ye YC, et al. Spatiotemporal assessment and scenario simulation of the risk potential of industrial sites at the regional scale. Science of the Total Environment, 2024, 906: 167537.
[5] Jiang YF, Hu BF, Shi HD, et al. Pollution and risk assessment of potentially toxic elements in soils from industrial and mining sites across China. Journal of Environmental Management, 2023, 336: 117672.
[6] Jiang YF, You QH, Chen XY, et al. Preliminary risk assessment of regional industrial enterprise sites based on big data. Science of the Total Environment, 2022, 838: 156609.
[7] Jiang YF, Shi Z, Xia F, et al. Integrating social media and field investigations to monitor contaminated sites. Journal of Cleaner Production. 2022, 358: 132072.
[8] Jiang YF, Tian S, Xu ZC, et al. Decoupling environmental impact from economic growth to achieve Sustainable Development Goals in China. Journal of Environmental Management, 2022, 312: 114978.
[9] Jiang YF, Huang MX, Chen XY, et al. Identification and risk prediction of potentially contaminated sites in the Yangtze River Delta. Science of the Total Environment, 2022, 815: 151982.
[10] Jiang YF, Wang HL, Lei M, et al. An integrated assessment methodology for management of potentially contaminated sites based on public data. Science of the Total Environment, 2021, 783: 146912.
[11] Jiang YF, Chen SC, Hu BF, et al. A comprehensive framework for assessing the impact of potential agricultural pollution on grain security and human health in economically developed areas. Environmental Pollution, 2020, 263: 114653.
[12] Jiang YF, Ye YC, Guo X. Spatiotemporal variation of soil heavy metals in farmland influenced by human activities in the Poyang Lake region, China. Catena, 2019, 176: 279-288.
[13] Jiang YF, Rao L, Sun K, et al. Spatio-temporal distribution of soil nitrogen in Poyang lake ecological economic zone (South-China). Science of the Total Environment, 2018, 626: 235-243.
[14] Jiang YF, Guo X. Multivariate and geostatistical analyses of heavy metal pollution from different sources among farmlands in the Poyang Lake region, China. Journal of Soils and Sediments, 2019, 19: 2472-2484.
[15] Jiang YF, Guo X. Stoichiometric patterns of soil carbon, nitrogen, and phosphorus in farmland of the Poyang Lake region in Southern China. Journal of Soils and Sediments, 2019, 19: 3476-3488.
[16] Guo X, Jiang YF*. Spatial characteristics of ecological stoichiometry and their driving factors in farmland soils in Poyang Lake Plain, Southeast China. Journal of Soils and Sediments, 2019, 19: 263-274.
[17] Ye YC#, Jiang YF#, Kuang LH, et al. Predicting spatial distribution of soil organic carbon and total nitrogen in a typical human impacted area. Geocarto International, 2022, 4465-4482.
[18] Jiang Yefeng , Guo Xi , Sun Kai , et al . Spatial variability characteristics and influencing factors of soil carbon-nitrogen ratio in cultivated land in Jiangxi Province . Environmental Science , 2017, 38(9): 3840-3850.
[19] Jiang Yefeng , Zhong Shan , Li Jie , et al . Temporal and spatial variation characteristics of soil carbon-nitrogen ratio in cultivated land in Yugan County and its influencing factors in the past 30 years . Environmental Science , 2018, 39(3): 1386-1395.
[20] Jiang Yefeng , Ye Yingcong , Guo Xi , et al . Spatial variability of soil nitrogen and phosphorus eco-stoichiometry and its influencing factors in cultivated land of Jiangxi Province . Acta Pedologica Sinica , 2017, 54(6): 1527-1539.
[21] Jiang Yefeng , Sun Kai , Guo Xi *, et al . Study on the influencing factors of spatial variation of soil organic matter under different erosion degrees in southern red soil region . Journal of Natural Resources , 2018, 33(1): 149-160
[22] Jiang Yefeng , Guo Xi . Prediction of spatial distribution of arsenic in paddy soil based on multi-source auxiliary data and neural network model . Journal of Environmental Science , 2019, 39(3): 928-938.
[23] Jiang Yefeng , Sun Kai , Guo Xi , et al . Prediction of spatial distribution of soil properties based on environmental factors and neighboring information . Environmental Science Research , 2017, 30(7): 1059-1068.
[24] Jiang Yefeng , Guo Xi , Ye Yingcong , et al . Simulation of spatial distribution of soil organic matter based on auxiliary variables and neural network model . Resources and Environment in the Yangtze River Basin , 2017, 26(8):1150-1158.
[25] Jiang Yefeng , Rao Lei , Guo Xi , et al . Spatial variability characteristics and influencing factors of soil nitrogen in cultivated land in Jiangxi Province . Resources and Environment in the Yangtze River Basin , 2018, 27(1): 70-79.
[26] Jiang Yefeng , Zhong Shan , Rao Lei , et al . Spatial variation characteristics and influencing factors of available trace element content in cultivated soils in Jiangxi Province . Resources and Environment in the Yangtze River Basin , 2018, 27(5): 1159-1169.
[27] Jiang Yefeng , Rao Lei , Guo Xi , et al . Study on the main controlling factors of spatial variation of soil organic carbon in cultivated land in Jiangxi Province . Soils , 2018, 50(4): 778-786.
[28] Jiang Yefeng , Ye Yingcong , Guo Xi , et al . Spatial distribution characteristics and driving factors of available phosphorus in cultivated soils under different erosion degrees in southern red soil regions . Soils , 2018, 50(5): 1013-1021.
[29] Jiang Yefeng , Guo Xi . Simulation of spatial distribution of soil organic matter based on auxiliary variables and regression radial basis function neural network (R-RBFNN) . Journal of Zhejiang Agricultural Sciences , 2018, 30(4): 640-648.
[30] Jiang Yefeng , Guo Xi . Study on spatial heterogeneity of soil organic matter based on radial basis function neural network with evolutionary thinking algorithm . Journal of Zhejiang Agricultural Sciences , 2018, 30(3): 445-453.
[31] Jiang Yefeng , Guo Xi . Study on spatial heterogeneity of available potassium in topsoil based on co-kriging . Journal of Zhejiang Agricultural Sciences , 2019, 31(1): 139-148.
[32] Jiang Yefeng , Guo Xi , Ye Yingcong , et al . Spatial variation of soil nutrients and reasonable sampling number in the hilly and mountainous areas of southern China . Journal of Jiangsu Agricultural Sciences, 2017, 33(3): 568-574.
[33] Jiang Yefeng , Guo Xi , Ye Yingcong , et al . Prediction of spatial distribution of soil organic matter at provincial scale using neural network method . Journal of Jiangsu Agricultural Sciences , 2017, 33(4): 828-835.
[34] Jiang Yefeng , Guo Xi , Ye Yingcong , et al . Application of integrated BP neural network model to predict the spatial distribution of soil organic matter . Journal of Jiangsu Agriculture 2017, 33(5): 1044-1050.
Three: Soft patent
[1] Chen Haoxiang , Tian Shuo , Jiang Yefeng , Zhou Lianqing , Shi Zhou . Site pollution multi-source heterogeneous data fusion model software . ( Software registration number: 2022SR1043859)
[2] Tian Shuo , Wu Wenqiang , Jiang Yefeng , Zhou Lianqing , Shi Zhou . Site soil and groundwater pollution multi-source database system . ( Software registration number: 2021SR1710393)
[3] Tian Shuo , Wu Wenqiang , Jiang Yefeng , Shi Zhou . Contaminated site thermal area detection system . ( Software registration number: 2021SR1641596)
[4] Shi Zhou , Jiang Yefeng , Chen Songchao , Zhou Lianqing , Jia Xiaolin , Wu Wenqiang . A soil cadmium risk prediction method based on spatiotemporal interaction . (PCT patent application number: PCT/CN2022/086484)
[5] Shi Zhou , Jiang Yefeng , Zhou Lianqing , Wu Wenqiang . A soil cadmium risk prediction method based on spatiotemporal interaction . ( Patent No.: 202210234132.5)
[6] Shi Zhou , Gao Lingfang , Sheng Yining , Yang Yujie , Jiang Yefeng , Zhou Lianqing . A method for identifying suspected polluting industrial enterprises based on public data . ( Invention patent application number: 202111054900.0)
[7] Shi Zhou, Zhou Yin , Lin Yeneng , Wang Hanlin , Jiang Yefeng . A soil heavy metal management zoning method based on spatial interaction . ( Patent No.: ZL 202011124192.9)
Four: Rewards and Honors
[1] Key technologies and applications for high yield and high efficiency of double-season rice with reduced fertilizer application, second prize of Jiangxi Academy of Agricultural Sciences in 2023 , ranked sixth
