中国科学院机构知识库网格
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... [43]
生态环境研究中心 [6]
青藏高原研究所 [2]
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期刊论文 [58]
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A bibliometric analysis and complied dataset of natural disasters on the Qinghai-Tibet Plateau since 1900
期刊论文
OAI收割
GEOMATICS NATURAL HAZARDS & RISK, 2025, 卷号: 16, 期号: 1, 页码: 2449557
作者:
Yi, Jiawei
;
Fan, Xinning
;
Du, Yunyan
;
Zhang, Chunhuan
;
Huang, Sheng
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2025/02/24
Qinghai-Tibet Plateau
natural disasters
spatial distribution
temporal trend
disaster event dataset
Shifted trend in drought sensitivity of vegetation productivity from 1982 to 2020
期刊论文
OAI收割
AGRICULTURAL AND FOREST METEOROLOGY, 2025, 卷号: 362, 页码: 110388
作者:
Tang, Jiwang
;
Niu, Ben
;
Fu, Gang
;
Peng, Jinlong
;
Hu, Zhigang
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2025/02/24
Breakpoint
Drought sensitivity
Spatial pattern
Temporal trend
Vegetation index
Long-Term Annual Changes in Agricultural Carbon Footprints and Associated Driving Factors in China from 2000 to 2020
期刊论文
OAI收割
AGRONOMY-BASEL, 2025, 卷号: 15, 期号: 2, 页码: 453
作者:
Xiao, Xingyuan
;
Hu, Xuanming
;
Liu, Yaqun
;
Lu, Changhe
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2025/04/21
agricultural carbon footprint
life cycle assessment
annual temporal trend
spatial autocorrelation
driving factors
crop production
climate change
sustainable agriculture development
Risk in solar energy: Spatio-temporal instability and extreme low-light events in China
期刊论文
OAI收割
APPLIED ENERGY, 2024, 卷号: 359, 页码: 21
作者:
Guo, Jingxian
;
Li, Runkui
;
Cai, Panli
;
Xiao, Zhen
;
Fu, Haiyu
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2024/04/19
Solar energy resources
Spatio-temporal instability
Extreme low-light events
Risk
Changing trend
Phthalate metabolites in breast milk from mothers in Southern China: Occurrence, temporal trends, daily intake, and risk assessment
期刊论文
OAI收割
JOURNAL OF HAZARDOUS MATERIALS, 2024, 卷号: 464, 页码: 8
作者:
Liu, Yangyang
;
Xiao, Minhua
;
Huang, Kaiqin
;
Cui, Juntao
;
Liu, Hongli
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/09/14
Phthalate metabolites
Lactating women
Breast milk
Temporal trend
Risk assessment
Organophosphate esters (OPEs) in a heavily polluted river in South China: Occurrence, spatiotemporal trends, sources, and phase distribution
期刊论文
OAI收割
ENVIRONMENTAL POLLUTION, 2023, 卷号: 336, 页码: 12
作者:
Liu, Yi-Shan
;
Li, Hui-Ru
;
Lao, Zhi-Lang
;
Ma, Sheng-Tao
;
Liao, Zi-Cong
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/08/23
Organophosphorus flame retardant
Emerging contaminants
Plasticizer
Positive matrix factorization (PMF)
E-waste recycling
Temporal trend
Improving Phenology Representation of Deciduous Forests in the Community Land Model: Evaluation and Modification Using Long-Term Observations in China
期刊论文
OAI收割
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, 2023, 卷号: 15, 期号: 10, 页码: 23
作者:
Lv, Yan
;
Zhang, Li
;
Li, Pan
;
He, Honglin
;
Ren, Xiaoli
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2023/11/29
deciduous phenology
gross primary productivity
temporal trend
interannual variation
climate change
CLM4.5
Human footprints in the Global South accelerate biomass carbon loss in ecologically sensitive regions
期刊论文
OAI收割
GLOBAL CHANGE BIOLOGY, 2023, 页码: 15
作者:
Geng, Mengqing
;
Li, Xuecao
;
Mu, Haowei
;
Yu, Guojiang
;
Chai, Li
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2023/10/09
carbon
human activities
protected area
spatial variations
temporal trend
Detection of trend and seasonal changes in non-stationary remote sensing data: Case study of Tunisia vegetation dynamics
期刊论文
OAI收割
ECOLOGICAL INFORMATICS, 2022, 卷号: 69, 页码: 14
作者:
Rhif, Manel
;
Ben Abbes, Ali
;
Martinez, Beatriz
;
de Jong, Rogier
;
Sang, Yanfang
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2022/09/21
Spatio-temporal analysis
Time-series
Trend detection
Non-stationary
Vegetation
Remote sensing images
Spatial-temporal evolution pattern and prediction analysis of flood disasters in China in recent 500 years
期刊论文
OAI收割
EARTH SCIENCE INFORMATICS, 2021, 页码: 15
作者:
Wei, Cuixia
;
Guo, Bing
;
Zhang, Hailing
;
Han, Baomin
;
Li, Xiangshen
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2022/09/21
Flood disaster
Spatio-temporal evolution
Gravity center model
Trend prediction