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
机构
地理科学与资源研究... [10]
广州地球化学研究所 [1]
自动化研究所 [1]
采集方式
OAI收割 [12]
内容类型
期刊论文 [10]
SCI/SSCI论文 [2]
发表日期
2024 [1]
2023 [2]
2020 [2]
2019 [2]
2017 [3]
2016 [2]
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Regional emissions of soil greenhouse gases across Tibetan alpine grasslands
期刊论文
OAI收割
GEODERMA, 2024, 卷号: 443, 页码: 10
作者:
Wang, Peiyan
;
Wang, Jinsong
;
Elberling, Bo
;
Ambus, Per
;
Li, Yang
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2024/05/20
Alpine grasslands
Soil greenhouse gas emissions
Controlling factors
Temperature sensitivity
Regional estimation
Climate feedback
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 Parallel Supervision System for Vehicle CO2 Emissions Based on OBD-Independent Information
期刊论文
OAI收割
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 3, 页码: 2077-2087
作者:
Sun, Yao
;
Hu, Yunfeng
;
Zhang, Hui
;
Wang, Feiyue
;
Chen, Hong
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/11/17
Combined CO2 estimation model
deterioration factor
OBD-independent
parallel supervision system
vehicle CO2 emissions
The significant contribution of lake depth in regulating global lake diffusive methane emissions
期刊论文
OAI收割
WATER RESEARCH, 2020, 卷号: 172, 页码: 10
作者:
Li, Mingxu
;
Peng, Changhui
;
Zhu, Qiuan
;
Zhou, Xiaolu
;
Yang, Gang
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2020/05/19
Global methane estimation
Lake CH4 diffusion
Maximum depth
Surface area
Freshwaters GHGs emissions
The significant contribution of lake depth in regulating global lake diffusive methane emissions
期刊论文
OAI收割
WATER RESEARCH, 2020, 卷号: 172, 页码: 10
作者:
Li, Mingxu
;
Peng, Changhui
;
Zhu, Qiuan
;
Zhou, Xiaolu
;
Yang, Gang
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2020/05/19
Global methane estimation
Lake CH4 diffusion
Maximum depth
Surface area
Freshwaters GHGs emissions
Exploring regional differences in the impact of high energy-intensive industries on CO2 emissions: Evidence from a panel analysis in China
期刊论文
OAI收割
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2019, 卷号: 26, 期号: 25, 页码: 26229-26241
作者:
Liu, Hanchu
;
Fan, Jie
;
Zhou, Kan
;
Wang, Qiang
  |  
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2020/03/23
High energy-intensive industries
CO2 emissions
Regional differences
Panel estimation
China
Exploring regional differences in the impact of high energy-intensive industries on CO2 emissions: Evidence from a panel analysis in China
期刊论文
OAI收割
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2019, 卷号: 26, 期号: 25, 页码: 26229-26241
作者:
Liu, Hanchu
;
Fan, Jie
;
Zhou, Kan
;
Wang, Qiang
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2020/03/23
High energy-intensive industries
CO2 emissions
Regional differences
Panel estimation
China
CO2 emissions from cement industry in China: A bottom-up estimation from factory to regional and national levels
期刊论文
OAI收割
JOURNAL OF GEOGRAPHICAL SCIENCES, 2017, 卷号: 27, 期号: 6, 页码: 711-730
作者:
Yang Yan
;
Wang Limao
;
Cao Zhi
;
Mou Chufu
;
Shen Lei
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2019/09/25
China
cement industry
CO2 emissions
bottom-up estimation
spatial integration
CO2 emissions from cement industry in China: A bottom-up estimation from factory to regional and national levels
期刊论文
OAI收割
JOURNAL OF GEOGRAPHICAL SCIENCES, 2017, 卷号: 27, 期号: 6, 页码: 711-730
作者:
Yang Yan
;
Wang Limao
;
Cao Zhi
;
Mou Chufu
;
Shen Lei
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2019/09/25
China
cement industry
CO2 emissions
bottom-up estimation
spatial integration
CO2 emissions from cement industry in China: A bottom-up estimation from factory to regional and national levels
期刊论文
OAI收割
JOURNAL OF GEOGRAPHICAL SCIENCES, 2017, 卷号: 27, 期号: 6, 页码: 711-730
作者:
Yang Yan
;
Wang Limao
;
Cao Zhi
;
Mou Chufu
;
Shen Lei
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2019/09/25
China
cement industry
CO2 emissions
bottom-up estimation
spatial integration