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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究... [68]
自动化研究所 [16]
地质与地球物理研究所 [9]
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MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction
期刊论文
OAI收割
INFORMATION FUSION, 2025, 卷号: 113, 页码: 15
作者:
Yu, Chengqing
;
Wang, Fei
;
Wang, Yilun
;
Shao, Zezhi
;
Sun, Tao
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/12/06
Air quality prediction
Multi-Granularity Spatiotemporal Fusion
Transformer
Spatiotemporal correlation
Multi-source information fusion
Molecular and carbon isotopic geochemistry of oils with different fluorescence color from the Upper Jurassic Qigu formation and oil accumulation process in Yongjin area, Junggar Basin in China
期刊论文
OAI收割
MARINE AND PETROLEUM GEOLOGY, 2025, 卷号: 171, 页码: 23
作者:
Zhang, Hongrui
;
Liu, Hua
;
Jia, Wanglu
;
Tian, Hui
;
Li, Jinbu
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2025/04/01
Sequential extract
C -isotope
Mixed oil separation
Biodegradation
Oxidation
Oil source correlation
Multi-period oil charging
A multi-source data fusion method for land cover production: a case study of the East European Plain
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 卷号: 17, 期号: 1, 页码: 18
作者:
Li, Kai
;
Wang, Juanle
  |  
收藏
  |  
浏览/下载:54/0
  |  
提交时间:2024/05/06
Land cover
East European Plain
multi-source data fusion
deep learning
Spatial distribution and risk assessment of heavy metal pollution from enterprises in China
期刊论文
OAI收割
JOURNAL OF HAZARDOUS MATERIALS, 2024, 卷号: 480, 页码: 11
作者:
Shi, Huading
;
Wang, Shihao
;
Xu, Xinliang
;
Huang, Lin
;
Gu, Qingbao
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/12/30
Heavy metal pollution
Multi-source data
Risk assessment model
County scale
Source-pathway-receptor process
Evaluating inequality divides in urban development intensity between the Global North and South
期刊论文
OAI收割
LAND USE POLICY, 2024, 卷号: 145, 页码: 107291
作者:
Chen, Liangkan
;
Chen, Mingxing
;
Zhang, Xiaoping
;
Xian, Yue
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/09/19
Urban development intensity
Multi-source data integration
Global North-South
Regional differences
Intra-city inequality
Sustainable development goals
Identifying the Characteristics and Implications of Post-Earthquake Debris Flow Events Based on Multi-Source Remote Sensing Images
期刊论文
OAI收割
REMOTE SENSING, 2024, 卷号: 16, 期号: 17, 页码: 3336
作者:
Jin, Wen
;
Zhang, Guotao
;
Ding, Yi
;
Liu, Nanjiang
;
Huo, Xiaowei
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2024/10/21
multi-source remote sensing images
loose materials
post-earthquake debris flow
channel evolution
accumulation fan
Elevational Patterns of Forest Evapotranspiration and Its Sensitivity to Climatic Variation in Dryland Mountains
期刊论文
OAI收割
WATER, 2024, 卷号: 16, 期号: 9, 页码: 21
作者:
Li, Hongyu
;
Liu, Xiaohuang
;
Zhang, Wenbo
;
Zhu, Haoyang
;
Zhao, Xiaofeng
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2024/07/24
evapotranspiration sensitivity
elevational gradient
dryland mountains forest
multi-source analysis
environmental control
Research on the Exposure Risk Analysis of Wildfires with a Spatiotemporal Knowledge Graph
期刊论文
OAI收割
FIRE-SWITZERLAND, 2024, 卷号: 7, 期号: 4, 页码: 22
作者:
Ge, Xingtong
;
Peng, Ling
;
Yang, Yi
;
Wang, Yinda
;
Chen, Deyue
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2024/05/30
exposure risk analysis knowledge graph
multi-source data fusion
exposure risk analysis
spatiotemporal data
Applicability of Precipitation Products in the Endorheic Basin of the Yellow River under Multi-Scale in Time and Modality
期刊论文
OAI收割
REMOTE SENSING, 2024, 卷号: 16, 期号: 5, 页码: 872
作者:
Zhu, Weiru
;
Liang, Kang
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2024/04/08
multi-source precipitation datasets
multiple time scales
extreme precipitation
extreme climate indices
endorheic basin
A progressive framework combining unsupervised and optimized supervised learning for debris flow susceptibility assessment
期刊论文
OAI收割
CATENA, 2024, 卷号: 234, 页码: 16
作者:
Liu, Yongqiang
;
Chen, Jianping
;
Sun, Xiaohui
;
Li, Yongchao
;
Zhang, Yiwei
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2023/12/27
Debris flow susceptibility
Watershed unit
Unsupervised learning
Supervised learning
Multi-source data