Junfeng Gao

ORCID: 0000-0003-1237-6016
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Research Areas
  • Fish Ecology and Management Studies
  • Smart Agriculture and AI
  • Hydrology and Watershed Management Studies
  • Freshwater macroinvertebrate diversity and ecology
  • Aquatic Invertebrate Ecology and Behavior
  • Environmental Changes in China
  • Water Quality and Pollution Assessment
  • Spectroscopy and Chemometric Analyses
  • Remote Sensing in Agriculture
  • Remote Sensing and LiDAR Applications
  • Aquatic Ecosystems and Phytoplankton Dynamics
  • Advanced Chemical Sensor Technologies
  • Hydrology and Sediment Transport Processes
  • Isotope Analysis in Ecology
  • Flood Risk Assessment and Management
  • Asphalt Pavement Performance Evaluation
  • Soil erosion and sediment transport
  • Infrastructure Maintenance and Monitoring
  • Tree Root and Stability Studies
  • Environmental Quality and Pollution
  • Water Quality Monitoring Technologies
  • Land Use and Ecosystem Services
  • Remote Sensing and Land Use
  • Environmental Toxicology and Ecotoxicology
  • Wildlife Ecology and Conservation

Nanjing Institute of Geography and Limnology
2003-2024

Chinese Academy of Sciences
2008-2024

University of Aberdeen
2024

University of Chinese Academy of Sciences
2023

Fujian Inspection and Research Institute for Product Quality
2023

Beijing Institute of Petrochemical Technology
2023

Northeastern University
2023

University of Lincoln
2021-2022

Lanzhou Petrochemical Polytechnic
2022

Chongqing Jiaotong University
2022

The partial replacement of chemical fertilizer with straw return is considered an effective method for improving the accumulation organic matter and soil fertility, but characteristics nitrogen fixation mineralization in a double-cropped rice paddy system are unclear. Based on 12-year field experiment, we conducted waterlogged incubation experiment 49 days to determine effect long-term combined reducing application dynamic changes mineralized (N) content N rate under treatments, including...

10.3390/agronomy12081767 article EN cc-by Agronomy 2022-07-28

In recent decades, the rivers in Lake Chaohu Basin have been subjected to intensive anthropogenic disturbance. However, previous studies mainly focused on Chaohu, and inflowing outflowing not well examined. To characterize pollution status of heavy metals entire Basin, 8 (Cu, Zn, Pb, Cr, Cd, As, Hg, Ni) riverine surface sediments were measured at 131 sampling sites 7 subbasins. Spatial patterns characteristics evaluated based potential ecological risk, geoaccumulation, load indexes. The...

10.34133/ehs.0040 article EN cc-by Ecosystem Health and Sustainability 2023-01-01

Aquatic ecoregions were increasingly used as spatial units for aquatic ecosystem management at the watershed scale. In this paper, principle of including land area, comprehensiveness and dominance, conjugation hierarchy selected regionalizing principles. Elevation drainage density indicators delineation level I ecoregions, percent construction cultivated soil type slope II. Under support GIS technology, distribution maps two four II ecoregion generated from raster data based on 1,107...

10.3390/ijerph8114367 article EN International Journal of Environmental Research and Public Health 2011-11-22

在GIS和RS技术支持下, 以遥感数据和土地利用数据为基础, 以行政区划为评价单元, 定量分析太湖地区1990-2008年土地利用变化及其转化关系;从土地利用变化和景观结构角度构建景观生态风险评价模型, 定量评价了研究区内景观生态风险的时空动态变化特征.结果表明:太湖地区景观生态风险分布与区内土地利用方式和强度具有较高关联.景观生态风险整体呈上升趋势, 高生态风险区范围不断扩大;受自然特征和社会经济发展影响, 景观生态风险空间分异显著, 较低风险区主要分布于以苕溪为主的山地丘陵区, 中等风险区主要分布于农业发达的平原区, 较高风险区及高风险区主要集中于沿湖经济发达区.不同区域景观生态风险来源存在一定差异, 各用地类型对生态风险的贡献率亦不尽相同, 就全区而言, 景观生态风险主要来源于耕地和建设用地, 但随着社会经济不断发展, 来自水域和林地的生态风险比例越来越大;The quantitative analysis of the land use change and its transformation relationship in Taihu region during...

10.18307/2011.0422 article EN Journal of Lake Sciences 2011-01-01

Magnetic Fe<sub>3</sub>O<sub>4</sub> nanoparticles show promising applications in nanomedicine. The saturation magnetization (<i>M</i><sub>S</sub>) and magnetic anisotropy are critical for the of drug delivery hyperthermia. Here, by density functional computation, doping effects 3d 4d transition metal elements (including Sc, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Y, Zr, Nb, Mo, Tc, Ru, Rh, Pd, Ag Cd) on properties investigated in-depth. A...

10.7498/aps.73.20231744 article EN Acta Physica Sinica 2024-01-01

Spectral technology is a scientific method used to study and analyze substances. In recent years, the role of spectral in non-destructive testing (NDT) fruits has become increasingly important, it expected that its application NDT will be promoted coming years. However, there are still challenges terms dataset collection methods. This article aims enhance effectiveness citrus other apply this orchard environments. Firstly, principles imaging systems chemometric methods analysis summarized....

10.3390/agriculture14070977 article EN cc-by Agriculture 2024-06-23

2010年4月和7月对太湖流域五水系(苕溪、南河、洮滆、黄浦江和沿江水系)73个采样点的大型底栖动物进行了两次调查, 分析各水系底栖动物群落结构及其与环境因子之间的关系, 并评价各水系的水质状况.所有采样点共记录底栖动物88种, 隶属于3门8纲48科.全流域主要河流大型底栖动物的平均密度和生物量分别为5888.91 ind./m<sup>2</sup>和105.18g/m<sup>2</sup>.寡毛类占平均密度的94.19%, 腹足类在生物量中所占比例最高, 为72.50%, 霍甫水丝蚓在五水系中均处优势地位.相似性分析结果表明沿江水系与苕溪、南河、洮滆和黄浦江水系, 苕溪与洮滆水系底栖群落具有显著差异.霍甫水丝蚓是导致这五个水系群落结构差异的最主要原因, 其次是铜锈环棱螺、苏式尾鳃蚓、羽摇蚊、钩虾属一种、红裸须摇蚊、河蚬、小摇蚊属一种、摇蚊亚科一种、侧叶雕翅摇蚊、中国长足摇蚊和长角涵螺.典范对应分析表明高锰酸盐指数、正磷酸盐磷、总氮、硝态氮与大型底栖动物群落显著相关.BPI和Wright指数评价结果发现五水系整体处在中污染状态。;Aimed at...

10.18307/2011.0504 article EN Journal of Lake Sciences 2011-01-01

Turbidity source apportionment is essential but complex for precise environmental rehabilitation of worldwide urban lakeside river networks impaired by turbidity. A new turbidity analysis framework including in-situ sampling, vessel monitoring, remote sensing, and hydrodynamic modelling was proposed, where the critical processes flow reversal from turbid lake, navigation, non-point in were explicitly considered. The case study results showed that problem (mean value 211.3 nephelometric units...

10.1016/j.ecolind.2023.110561 article EN cc-by-nc-nd Ecological Indicators 2023-07-04

Weed and crop segmentation is becoming an increasingly integral part of precision farming that leverages the current computer vision deep learning technologies. Research has been extensively carried out based on images captured with a camera from various platforms. Unmanned aerial vehicles (UAVs) ground-based including agricultural robots are two popular platforms for data collection in fields. They all contribute to site-specific weed management (SSWM) maintain yield. Currently, these...

10.2139/ssrn.4272159 article EN SSRN Electronic Journal 2022-01-01

于2010年,采用野外采样调查、色谱分析与统计比较的方法,研究巢湖表层沉积物中27个采样点中多环芳烃(PAHs)分布特征及污染来源.结果表明:巢湖表层沉积物中检测出的14种优控PAHs总浓度为116.0~2832.2 ng/g(DW),平均值为898.9±791.0 ng/g(DW).多环芳烃组成主要以5~6环PAHs为主,占总量的32%~58%.沉积物中总有机碳含量与PAHs总量呈现良好相关性.利用蒽/(蒽+菲)与苯并[a]蒽/(苯并[a]蒽+屈)比值法对PAHs来源进行解析得出,巢湖表层沉积物中PAHs主要来源为燃烧源.与国内其它水体PAHs含量对比表明,巢湖沉积物中PAHs污染处于中等水平.生态风险评估得出南淝河表层沉积物中PAHs存在生态风险,其它采样点表层沉积物中PAHs生态风险均较低.;To clarify polycyclic aromatic hydrocarbons (PAHs) contamination characteristics in Lake Chaohu, 27 surface sediment samples from different...

10.18307/2012.0612 article EN Journal of Lake Sciences 2012-01-01

Human disturbances can have severe environmental impacts on freshwater ecosystems. The main aim of this study was to detect the influences physiochemical variables, land-cover characteristics, and river connectivity fish assemblages in Lake Chaohu Basin, China. A cluster analysis variables identified four groups sites that characterized by significantly different gradients local scale. These showed increasing from upper reaches lower reaches. At same time, among groups, values generally...

10.20944/preprints202309.1991.v1 preprint EN 2023-09-28

Many industrial processes have multiple operation modes and Gaussian mixture model (GMM) is used to describe multimode processes. This paper uses principal component analysis (PCA) parameter estimation method of GMM for fault detection monitoring. First, by combining the Shannon entropy with Deterministic Annealing EM (DAEM) algorithm, an penalized maximum likelihood objective function constructed simultaneously perform selection GMM. Then PCA avoid singular covariance matrix caused...

10.1109/wcica.2016.7578813 article EN 2016-06-01
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