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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
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地理科学与资源研究... [64]
数学与系统科学研究院 [7]
西北高原生物研究所 [6]
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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:1/0
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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
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
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
Comparison and integration of hydrological models and machine learning models in global monthly streamflow simulation
期刊论文
OAI收割
JOURNAL OF HYDROLOGY, 2025, 卷号: 650, 页码: 17
作者:
Zhang, Jiawen
;
Kong, Dongdong
;
Li, Jianfeng
;
Qiu, Jianxiu
;
Zhang, Yongqiang
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收藏
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浏览/下载:49/0
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提交时间:2025/03/31
Streamflow simulation
Machine learning
Hydrological model
Multi-model weighting ensemble
Advancing forest fire prediction: A multi-layer stacking ensemble model approach
期刊论文
OAI收割
EARTH SCIENCE INFORMATICS, 2025, 卷号: 18, 期号: 3, 页码: 270
作者:
Shahzad, Fahad
;
Mehmood, Kaleem
;
Anees, Shoaib Ahmad
;
Adnan, Muhammad
;
Muhammad, Sultan
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收藏
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浏览/下载:45/0
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提交时间:2025/03/18
Forest fire
Multi-layer ensemble model
Machine learning
Probability mapping
Malakand division
Quantification of climate change impact on hydrological extremes in the Upper Tekeze basin in the future with two ensemble strategies
期刊论文
OAI收割
THEORETICAL AND APPLIED CLIMATOLOGY, 2025, 卷号: 156, 期号: 3, 页码: 173
作者:
Reda, Kidane Welde
;
Liu, Xingcai
;
Tang, Qiuhong
;
Gaffney, Paul P. J.
;
Xu, Ximeng
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收藏
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浏览/下载:42/0
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提交时间:2025/04/21
Climate change
Hydrological extremes
Multi-model ensemble strategies
Upper Tekeze basin
Past-to-future resources utilization efficiency and cross-regional compensation strategies in urban agglomerations driven by environmental footprint dynamic assessment
期刊论文
OAI收割
SUSTAINABLE CITIES AND SOCIETY, 2025, 卷号: 118, 页码: 106056
作者:
Chen, Yizhong
;
Yang, Lingzhi
;
Ren, Yang
;
Yan, Pengdong
;
Lu, Hongwei
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收藏
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浏览/下载:44/0
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提交时间:2025/02/24
Ecological compensation
Resources utilization
Environmental footprint
Shared socioeconomic pathways
Ensemble inversion model
Spatiotemporal dynamics and conservation status of medicinal Aconitum species on the Qinghai-Tibet Plateau under climate change
期刊论文
OAI收割
GLOBAL ECOLOGY AND CONSERVATION, 2025, 卷号: 64
作者:
Li, Xiaoping
;
Zhou, Guoying
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收藏
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浏览/下载:8/0
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提交时间:2025/11/27
Ecological niche modeling
Ensemble model
Climate change
Geographical distribution patterns
Conservation status