兰州大学机构库

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High temporal and spatial resolution PM2.5 dataset acquisition and pollution assessment based on FY-4A TOAR data and deep forest model in China 期刊论文
Atmospheric Research, 2022, 卷号: 274
Authors:  Song, Zhihao;  Chen, B(陈斌);  Zhang, Peng;  Guan, XD(管晓丹);  Wang, X(王鑫);  Ge, JM(葛觐铭);  Hu, Xiuqing;  Zhang, Xingying;  Wang, Yixuan
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Forestry  Health risks  Image resolution  Mean square error  River pollution  10-fold cross-validation  Bimodal distribution  Deep forest  Forest modelling  FY-4a  High spatial resolution  High temporal resolution  PM 2.5  Pollution assessment  Temporal and spatial  
Paleovegetation and paleotemperature in North China during the mid-Holocene based on sedimentological and palynological evidence from Lake Baiyangdian 期刊论文
PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY, 2022, 卷号: 595
Authors:  Zhang, Shengrui;  Sun, Yuanhao;  Li, Manyue;  Wang, Na;  Xu, Qinghai
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North China Plain  Mid-Holocene  Lake Baiyangdian area  Paleovegetation  Paleotemperature  
Combining Himawari-8 AOD and deep forest model to obtain city-level distribution of PM2.5 in China 期刊论文
Environmental Pollution, 2022, 卷号: 297
Authors:  Song, Zhihao;  Chen, B(陈斌);  Huang, JP(黄建平)
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Aerosols  Air pollution  Boundary layer flow  Boundary layers  Forestry  Mean square error  Pollution control  Remote sensing  Aerodynamic diameters  Aerosol optical depths  Fine particulate matter  Forest modelling  Himawari-8  Level distribution  Meteorological factors  Modeling performance  PM 2.5  Wind field  
Combining Himawari-8 AOD and deep forest model to obtain city-level distribution of PM2.5 in China 期刊论文
Environmental Pollution, 2022, 卷号: 297
Authors:  Song, Zhihao;  Chen, B(陈斌);  Huang, JP(黄建平)
Favorite  |  View/Download:17/0  |  Submit date:2022/07/01
Aerosols  Air pollution  Boundary layer flow  Boundary layers  Forestry  Mean square error  Pollution control  Remote sensing  Aerodynamic diameters  Aerosol optical depths  Fine particulate matter  Forest modelling  Himawari-8  Level distribution  Meteorological factors  Modeling performance  PM 2.5  Wind field  
Combining Himawari-8 AOD and deep forest model to obtain city-level distribution of PM2.5 in China 期刊论文
Environmental Pollution, 2022, 卷号: 297
Authors:  Song, Zhihao;  Chen, B(陈斌);  Huang, JP(黄建平)
Favorite  |  View/Download:30/0  |  Submit date:2022/03/18
Aerosols  Air pollution  Boundary layer flow  Boundary layers  Forestry  Mean square error  Pollution control  Remote sensing  Aerodynamic diameters  Aerosol optical depths  Fine particulate matter  Forest modelling  Himawari-8  Level distribution  Meteorological factors  Modeling performance  PM 2.5  Wind field  
An interpretable deep forest model for estimating hourly PM10 concentration in China using Himawari-8 data 期刊论文
Atmospheric Environment, 2022, 卷号: 268
Authors:  Chen, B(陈斌);  Song, Zhihao;  Shi, Baolong;  Li, Mengjun
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Aerosols  Air pollution  Boundary layer flow  Boundary layers  Deep neural networks  Forestry  Learning algorithms  Mean square error  Aerosol optical depths  Air pollutants  Dust transport  Forest modelling  Himawari-8  Industrialisation  Northern China  PM 10  Pollutants emissions  Rapid urbanizations  
An interpretable deep forest model for estimating hourly PM10 concentration in China using Himawari-8 data 期刊论文
Atmospheric Environment, 2022, 卷号: 268
Authors:  Chen, B(陈斌);  Song, Zhihao;  Shi, Baolong;  Li, Mengjun
Favorite  |  View/Download:9/0  |  Submit date:2022/05/12
Aerosols  Air pollution  Boundary layer flow  Boundary layers  Deep neural networks  Forestry  Learning algorithms  Mean square error  Aerosol optical depths  Air pollutants  Dust transport  Forest modelling  Himawari-8  Industrialisation  Northern China  PM 10  Pollutants emissions  Rapid urbanizations  
防风林带防护机理及其效应分析 学位论文
工学硕士, 兰州: 兰州大学, 2021
Authors:  崔双伟
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防风林带  多孔介质  林带间距  孔隙度  拉格朗日粒子追踪法  
高寒草甸退化对生态系统多功能性的影响机制 学位论文
理学硕士, 兰州: 兰州大学, 2021
Authors:  崔瀚文
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高寒草甸退化  生态系统多功能性  生物因素  非生物因素  结构方程模型  
An Effective Method for Canopy Chlorophyll Content Estimation of Marsh Vegetation Based on Multiscale Remote Sensing Data 期刊论文
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 卷号: 14, 页码: 5311-5325
Authors:  P. Lou;  B. Fu;  H. He;  J. Chen;  T. Wu;  X. Lin;  L. Liu;  D. Fan;  T. Deng
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Canopy chlorophyll content (CCC)  multiscale remote sensing data  random forest (RF) regression  scale matching  unmanned aerial vehicle (UAV)