中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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Service vulnerability assessment of China's high-speed train network: A simulation approach
期刊论文
OAI收割
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2024, 卷号: 245, 页码: 109971
作者:
Hu, Xinlei
;
Huang, Jie
;
Long, Xuanji
;
Wang, Jiaoe
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2024/04/08
High-speed train network
Service vulnerability
Simulation approach
Ticket sales records
Train service adjustment
Cadmium accumulation in tropical island paddy soils: From environment and health risk assessment to model prediction
期刊论文
OAI收割
JOURNAL OF HAZARDOUS MATERIALS, 2024, 卷号: 465, 页码: 14
作者:
Guo, Yan
;
Yang, Yi
;
Li, Ruxia
;
Liao, Xiaoyong
;
Li, Yonghua
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2024/03/25
Cadmium
Pollution assessment
Probabilistic health risk
XGBoost
Disaster mapping and assessment of Pakistan's 2022 mega-flood based on multi-source data-driven approach
期刊论文
OAI收割
NATURAL HAZARDS, 2024, 卷号: 120, 期号: 4, 页码: 3447-3466
作者:
Wang, Juanle
;
Li, Kai
;
Hao, Lina
;
Xu, Chen
;
Liu, Jingxuan
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2024/04/08
Mega-flood
Disaster risk reduction
Remote sensing monitoring
Risk of dam-failure flood
Big data
Accumulation, ecological health risks, and source identification of potentially toxic elements in river sediments of the Qinghai-Tibet Plateau, China
期刊论文
OAI收割
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2024, 卷号: 182, 页码: 703-718
作者:
Cai, Na
;
Wang, Xueping
;
Wang, Weili
;
Wang, Lingqing
;
Tian, Shuhan
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2024/02/05
Qinghai-Tibet Plateau (QTP)
Potentially toxic elements (PTEs)
Sediments
Risk assessment
Source identification
Transcriptomic analysis reveals the immune response mechanisms of sea cucumber Apostichopus japonicus under noise stress from offshore wind turbine
期刊论文
OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 906, 页码: 11
作者:
Cheng, Xiaochen
;
Zhang, Libin
;
Gao, Zhaoming
;
Li, Kehan
;
Xu, Jialei
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2024/04/07
Offshore wind power
Underwater noise
Sea cucumber
Invertebrate
Transcriptome
Immune response
Assessing heavy metal contamination in Amomum villosum Lour. fruits from plantations in Southern China: Soil-fungi-plant interactions
期刊论文
OAI收割
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2024, 卷号: 269, 页码: 13
作者:
Li, Arong
;
Li, Aqian
;
Luo, Cheng
;
Liu, Bo
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2024/02/27
Cultivation soils
Heavy metals
Health risk assessment
Fungal communities
Amomum villosum Lour
Spatial accessibility analysis and location optimization of emergency shelters in Deyang
期刊论文
OAI收割
GEOMATICS NATURAL HAZARDS & RISK, 2023, 卷号: 14, 期号: 1, 页码: 2213809
作者:
Zhang, Zuopei
;
Hu, Yunfeng
;
Lu, Wei
;
Cao, Wei
;
Gao, Xing
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2023/07/14
Spatial accessibility
Gaussian two-step floating catchment area method
K-means clustering
particle swarm optimization algorithm
location optimization
Disaster mapping and assessment of Pakistan's 2022 mega-flood based on multi-source data-driven approach
期刊论文
OAI收割
NATURAL HAZARDS, 2023, 卷号: N/A
作者:
Wang, Juanle
;
Li, Kai
;
Hao, Lina
;
Xu, Chen
;
Liu, Jingxuan
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/01/04
Mega-flood
Disaster risk reduction
Remote sensing monitoring
Risk of dam-failure flood
Big data
Source-specific probabilistic risk evaluation of potentially toxic metal(loid) s in fine dust of college campuses based on positive matrix factorization and Monte Carlo simulation
期刊论文
OAI收割
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2023, 卷号: 347, 页码: 16
作者:
Lu, Xinwei
;
Wang, Zhenze
;
Chen, Yurong
;
Yang, Yufan
;
Fan, Xinyao
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2023/11/29
Potentially toxic metal(loid)s
Positive matrix factorization
Monte Carlo simulation
Fine dust
Campus
Risk assessment
Risk Assessment and Analysis of Its Influencing Factors of Debris Flows in Typical Arid Mountain Environment: A Case Study of Central Tien Shan Mountains, China
期刊论文
OAI收割
REMOTE SENSING, 2023, 卷号: 15, 期号: 24, 页码: 22
作者:
Li, Zhi
;
Wu, Mingyang
;
Chen, Ningsheng
;
Hou, Runing
;
Tian, Shufeng
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2024/03/14
Tien Shan Mountain
debris flow
risk analysis
machine learning