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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
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Robust optimisation of the streamlined shape of a high-speed train in crosswind conditions
期刊论文
OAI收割
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS, 2023, 卷号: 17, 期号: 1, 页码: 2234012
作者:
Wang YT(王业腾)
;
Sun ZX(孙振旭)
;
Ju SJ(鞠胜军)
;
Guo DL(郭迪龙)
;
Yang GW(杨国伟)
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2023/09/05
Railway aerodynamic
High-speed train
Crosswind
Robust optimisation
Flow structures
>
Mapping Gross Domestic Product Distribution at 1 km Resolution across Thailand Using the Random Forest Area-to-Area Regression Kriging Model
期刊论文
OAI收割
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2023, 卷号: 12, 期号: 12, 页码: 24
作者:
Jin, Yan
;
Ge, Yong
;
Fan, Haoyu
;
Li, Zeshuo
;
Liu, Yaojie
  |  
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/01/22
gridded GDP
random forest
area-to-area kriging
Thailand
An integrated approach for quantifying trace metal sources in surface soils of a typical farmland in the three rivers plain, China
期刊论文
OAI收割
ENVIRONMENTAL POLLUTION, 2023, 卷号: 337, 页码: 122614
作者:
Meng, Yingyi
;
Kong, Fanpeng
;
Liu, Xiaojie
;
Dai, Lijun
;
Liu, Hongbo
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2023/12/04
Trace metals
Agricultural soil
Self-organizing map
Positive matrix factorization
Source identification
Large-area soil mapping based on environmental similarity with adaptive consideration of spatial distance to samples
期刊论文
OAI收割
GEODERMA, 2023, 卷号: 439, 页码: 116683
作者:
Fan, Xingchen
;
Fan, Naiqing
;
Qin, Cheng-Zhi
;
Zhao, Fang-He
;
Zhu, Liang-Jun
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2023/12/04
Digital soil mapping
Environmental similarity
Large area
Individual Predictive Soil Mapping (iPSM)
Inverse distance weight (IDW)
Comparison of approaches to spatiotemporally interpolate land surface air temperature for the Qinghai-Tibet Plateau
期刊论文
OAI收割
ENVIRONMENTAL EARTH SCIENCES, 2023, 卷号: 82, 期号: 19, 页码: 14
作者:
Shen, Fengbei
;
Xu, Chengdong
;
Hu, Maogui
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2023/10/23
The Qinghai-Tibet Plateau
Surface air temperature (SAT) interpolation
Heterogeneity
Spatiotemporal kriging
Accumulation, potential risk and source identification of toxic metal elements in soil: a case study of a coal-fired power plant in Western China
期刊论文
OAI收割
ENVIRONMENTAL GEOCHEMISTRY AND HEALTH, 2023
作者:
Jia, Yinggang
;
Yang, Xiao
;
Yan, Xiulan
;
Duguer, Weiwei
;
Hu, Hongli
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/08/22
Assessment
Brown desert soil
Coal
Heavy metal(loid)s
Spatial distribution
Spatial-temporal variations and driving factors of soil organic carbon in forest ecosystems of Northeast China
期刊论文
OAI收割
FOREST ECOSYSTEMS, 2023, 卷号: 10, 页码: 100101
作者:
Wang, Shuai
;
Roland, Bol
;
Adhikari, Kabindra
;
Zhuang, Qianlai
;
Jin, Xinxin
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2023/05/06
Soil organic carbon stocks
Forest ecosystem
Spatial -temporal variation
Carbon sink
Digital soil mapping
Geostatistical analysis of high-resolution hydraulic conductivity estimates from the hydraulic profiling tool and integration with hydraulic tomography at a highly heterogeneous field site
期刊论文
OAI收割
JOURNAL OF HYDROLOGY, 2023, 卷号: 617
作者:
Zhao, Zhanfeng
;
Luo, Ning
;
Illman, Walter A.
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2023/03/03
Subsurface heterogeneity
Hydraulic profiling tool
Geostatistical analysis
Hydraulic tomography
Hydraulic conductivity
High resolution characterization
Comparative Analysis of Remote Sensing and Geo-Statistical Techniques to Quantify Forest Biomass
期刊论文
OAI收割
FORESTS, 2023, 卷号: 14, 期号: 2
作者:
Ahmad, Naveed
;
Ullah, Saleem
;
Zhao, Na
;
Mumtaz, Faisal
;
Ali, Asad
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2023/04/06
REDD plus
Sentinel-2
above-ground biomass
carbon sequestration
climate change
forest degradation
An interpolation method incorporating the pollution diffusion characteristics for soil heavy metals- taking a coke plant as an example
期刊论文
OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 857
作者:
Zeng, Weibin
;
Wan, Xiaoming
;
Gu, Gaoquan
;
Lei, Mei
;
Yang, Jun
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2023/02/02
AERMOD model
Coking soil
Co-Kriging
Geodetector
Heavy metals