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Chinese Academy of Sciences Institutional Repositories Grid
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Predicting distribution characteristics of PM2.5 concentrations across China combining land use regression model and spatiotemporally weighted stacking machine learning algorithms
期刊论文
OAI收割
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING, 2026, 卷号: 14, 期号: 2, 页码: 121780
作者:
Wang, Wentao
;
Zhang, Ping
;
Han, Yuanyuan
;
Zhang, Fengqian
;
Huang, Yue
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收藏
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浏览/下载:0/0
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提交时间:2026/03/16
PM 2.5 pollution
Land use regression model
Machine learning ensemble method
Space-time weighting information
Spatiotemporal modelling
The stacking method enhances machine learning models for monitoring and understanding regional soil available nitrogen variations in croplands
期刊论文
OAI收割
SOIL & TILLAGE RESEARCH, 2026, 卷号: 256, 页码: 106880
作者:
Lei, Sihong
;
Shao, Mingan
;
Jia, Xiaoxu
;
Zhu, Zhaocen
;
Zhao, Chunlei
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收藏
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浏览/下载:0/0
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提交时间:2025/10/20
Agricultural ecosystem
Machine learning
Model ensemble
Quantitative prediction
Exposure risk assessment of polycyclic aromatic hydrocarbons (PAHs) in soil around coking sites at regional scale based on stacking ensemble model
期刊论文
OAI收割
JOURNAL OF HAZARDOUS MATERIALS, 2026, 卷号: 503, 页码: 141186
作者:
Shi, Weiwei
;
Ma, Xuepu
;
Luo, Lingzhi
;
Liao, Xiaoyong
;
Tao, Huan
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收藏
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浏览/下载:0/0
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提交时间:2026/03/16
Surrounding soil of the coking sites
PAHs
Stacking ensemble model
Exposure risk assessment
Scenario simulation
Global reconstruction of gridded aridity index and its spatial and temporal characterization from 2003 to 2022
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2025, 卷号: 18, 期号: 1, 页码: 2473639
作者:
Lu, Jiaying
;
Yao, Ling
;
Qin, Jun
;
Jiang, Hou
;
Zhou, Chenghu
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收藏
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浏览/下载:177/0
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提交时间:2025/04/21
Global drought
aridity index
climate change
remote sensing
ensemble learning
Geospatial heterogeneity-informed machine learning for mapping soil hydraulic properties across China's drylands
期刊论文
OAI收割
GEODERMA, 2025, 卷号: 464, 页码: 117622
作者:
Niu, Liantao
;
Jia, Xiaoxu
;
Dai, Xiaoliang
;
Gao, Lei
;
Huang, Laiming
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收藏
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浏览/下载:0/0
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提交时间:2026/01/21
Soil hydraulic parameters
Pedo-transfer functions
Machine learning
Geospatial heterogeneity
Ensemble model
Integrating PolSAR and Optical Data for Forest Aboveground Biomass Estimation with an Interpretable Bayesian-Optimized XGBoost Model
期刊论文
OAI收割
SUSTAINABILITY, 2025, 卷号: 17, 期号: 21, 页码: 9749
作者:
Zhou, Xinshao
;
Wang, Zhiqiang
;
Wang, Zhaosheng
;
Wang, Yonghong
;
Li, Chaokui
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收藏
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浏览/下载:1/0
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提交时间:2025/12/19
aboveground biomass
Sentinel-2
ALOS-2
Bayesian optimization
ensemble learning
A framework for learning symbolic turbulence models from indirect observation data via neural networks and feature importance analysis
期刊论文
OAI收割
JOURNAL OF COMPUTATIONAL PHYSICS, 2025, 卷号: 537, 页码: 22
作者:
Wu CT(吴楚畋)
;
Zhang XL(张鑫磊)
;
Xu D(徐多)
;
He GW(何国威)
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收藏
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浏览/下载:14/0
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提交时间:2025/08/18
Turbulence model
Ensemble Kalman method
Symbolic regression
Feature importance analysis
Neural networks
Key Internal Mode Influencing the Decadal Transition of Winter Surface Wind Speed in China and Its Quantitative Contribution
期刊论文
OAI收割
GEOPHYSICAL RESEARCH LETTERS, 2025, 卷号: 52, 期号: 18, 页码: e2025GL116459
作者:
Zha, Jinlin
;
Chuan, Ting
;
Wu, Jian
;
Zhao, Deming
;
Fan, Wenxuan
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收藏
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浏览/下载:0/0
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提交时间:2025/10/20
surface wind speed
warm Arctic-cold Eurasia
internal climate variability
large ensemble simulation
adjustment technique
China
Sandy Beach Extraction Method Based on Multi-Source Data and Feature Optimization: A Case in Fujian Province, China
期刊论文
OAI收割
REMOTE SENSING, 2025, 卷号: 17, 期号: 16, 页码: 2754
作者:
Meng, Jie
;
Xu, Duanyang
;
Tao, Zexing
;
Ge, Quansheng
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收藏
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浏览/下载:0/0
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提交时间:2025/10/20
sandy beach
multi-source data
recursive feature elimination
ensemble learning
Fujian
All-Weather Precipitable Water Vapor Retrieval over Land Using Integrated Near-Infrared and Microwave Satellite Observations
期刊论文
OAI收割
REMOTE SENSING, 2025, 卷号: 17, 期号: 15, 页码: 2730
作者:
Song, Shipeng
;
Zhu, Mengyao
;
Tao, Zexing
;
Xu, Duanyang
;
Jiao, Sunxin
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收藏
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浏览/下载:0/0
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提交时间:2025/09/22
precipitable water vapor
near-infrared
passive microwave
ensemble learning