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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
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Barium isotopic analysis of geological reference materials by MC-ICP-MS
期刊论文
OAI收割
SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY, 2025, 卷号: 228, 页码: 107185
作者:
Ma, Shunrong
;
Han, Guilin
;
Zhang, Qian
;
Liu, Jinke
;
Ding, Ziyang
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2025/04/21
Ba isotope ratio
Geological reference materials
Standard-sample bracketing method
MC-ICP-MS
Ensemble Assessment of Extreme Precipitation Risk under 1.5 and 2.0°C Warming Targets in the Yangtze River Basin
期刊论文
OAI收割
JOURNAL OF METEOROLOGICAL RESEARCH, 2024, 卷号: 38, 期号: 6, 页码: 1167-1183
作者:
Mo, Xingguo
;
Yue, Shuxu
;
Hu, Shi
;
Liu, Suxia
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2025/03/31
Equi-Ratio Cumulative Distribution Functions matching method (ERCDFm)
1.5 and 2.0 degrees C global warming targets
extreme precipitation
risk ratio
Bayesian model averaging
Coupled Model Intercom-parison Project phase 6 (CMIP6)
Yangtze River basin
Potential risk of soil erosion on the Tibetan Plateau during 1990-2020: Impact of climate change and human activities
期刊论文
OAI收割
ECOLOGICAL INDICATORS, 2023, 卷号: 154, 页码: 12
作者:
Tian, Qilong
;
Zhang, Xiaoping
;
He, Jie
;
Yi, Haijie
;
He, Liang
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/10/09
Multi -criteria decision -making
MCDM
Qinghai -Tibet Plateau
Entropy weight method
Sediment transportation ratio
Spatio-seasonal characterization and emissions estimation of ozone-depleting substances in the Pearl River Delta, China
期刊论文
OAI收割
ATMOSPHERIC ENVIRONMENT, 2023, 卷号: 310, 页码: 9
作者:
He, Hui
;
Huang, Zhonghui
;
Xie, Danping
;
Liu, Wang
;
Huang, Zhongkun
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/08/23
Ozone depleting substances (ODS)
Pearl river delta (PRD)
Spatio-seasonal variation
Tracer-ratio method
Emissions estimation
A Study of Wind Stress Effects on the Vertical Eddy Viscosity Coefficient Using the Ekman Model with Data Assimilation
期刊论文
OAI收割
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2023, 卷号: 11, 期号: 8, 页码: 19
作者:
Luo, Cheng
;
Gao, Guandong
;
Xu, Minjie
;
Yin, Baoshu
;
Lv, Xianqing
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2023/12/13
vertical eddy viscosity coefficient
adjoint assimilation method
Ekman model
wind stress
kinetic energy ratio
GIS-based landslide susceptibility mapping in the Longmen Mountain area (China) using three different machine learning algorithms and their comparison
期刊论文
OAI收割
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 页码: 15
作者:
Huang, Ziyan
;
Peng, Li
;
Li, Sainan
;
Liu, Ying
;
Zhou, Shuang
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2023/10/09
Landslide susceptibility assessment
Random forest model
Frequency ratio method
Support vector machine model
Longmen Mountain area
A new method for estimating Sharpe ratio function via local maximum likelihood
期刊论文
OAI收割
JOURNAL OF APPLIED STATISTICS, 2022, 页码: 19
作者:
Xu, Wenchao
;
Lin, Hongmei
;
Tong, Tiejun
;
Zhang, Riquan
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2023/02/07
Direct method
heteroscedastic non-parametric regression
joint limiting distribution
local polynomial smoothing
Sharpe ratio function
Experimental and numerical study on the laminar burning velocities of n-decane/toluene/air mixtures at elevated temperatures
期刊论文
OAI收割
FUEL, 2022, 卷号: 322, 页码: 11
作者:
Xie, Shengrong
;
Li, Xing
;
Li, Tao
;
Huo, Jiepeng
;
Wang, Junxiong
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2023/11/21
Laminar burning velocity
N-decane/toluene/air mixture
Externally heated diverging channel method
Toluene blending ratio
Elevated temperatures
Variability in Minimal-Damage Sap Flow Observations and Whole-Tree Transpiration Estimates in a Coniferous Forest
期刊论文
OAI收割
WATER, 2022, 卷号: 14, 期号: 16, 页码: 15
作者:
Yang, Junjun
;
He, Zhibin
;
Lin, Pengfei
;
Du, Jun
;
Tian, Quanyan
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2022/09/26
Qinghai spruce
sap flow
transpiration
heat ratio method (HRM)
upper Heihe River Basin
A scaled MP-PIC method for bubbling fluidized beds
期刊论文
OAI收割
POWDER TECHNOLOGY, 2022, 卷号: 404, 页码: 17
作者:
Zhao, Xing
;
Jiang, Yong
;
Li, Fei
;
Ullah, Atta
;
Wang, Wei
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/02/24
Coarse-graining model
Coarse-graining ratio
Scaling law
MP-PIC method