Results 31 to 40 of about 3,863,715 (290)

Exploring the changes and driving mechanisms in the production-transport-consumption process of ecosystem services flow in the Yellow River Basin under the background of policy changes

Ecological Indicators, 2023
Analyzing the spatiotemporal changes of the ecosystem services flow and the impact mechanism is of great significance for achieving human well-being. It is challenged by regional differences in resource utilization pattern and intensity and the complex ...
Tianlin Zhai, Mingyuan Chang, Yuanbo Ma, Longyang Huang, Ling Li   +4 more
doaj   +1 more source

Analysis of carbon emission, carbon displacement and heterogeneity of Guangdong power industry

Energy Reports, 2022
The marginal carbon emission factor can more accurately reflect the real-time carbon emission of the system. Based on the hourly output, load and external power data of Guangdong Province from 2017 to 2020, this paper uses the seemingly unrelated ...
Jian Zuo, Yashan Zhong, Yun Yang, Cong Fu, Xiangzhen He, Bo Bao, Feng Qian   +6 more
doaj   +1 more source

Indicator-Based Methodology for Assessing EV Charging Infrastructure Using Exploratory Data Analysis

Energies, 2018
Electric vehicle (EV) charging infrastructure rollout is well under way in several power systems, namely North America, Japan, Europe, and China. In order to support EV charging infrastructures design and operation, little attempt has been made to ...
Alexandre Lucas, Giuseppe Prettico, Marco Giacomo Flammini, Evangelos Kotsakis, Gianluca Fulli, Marcelo Masera   +5 more
doaj   +1 more source

Fusion of LiDAR and Multispectral Data for Aboveground Biomass Estimation in Mountain Grassland

Remote Sensing, 2023
Grassland aboveground biomass (AGB) is an important indicator for studying the change in grassland ecological quality and carbon cycle. The rapid development of high-resolution remote sensing and unmanned aerial vehicles (UAV) provides a new opportunity ...
Ang Chen, Xing Wang, Min Zhang, Jian Guo, Xiaoyu Xing, Dong Yang, Huilong Zhang, Zhiyan Hou, Ze Jia, Xiuchun Yang   +9 more
doaj   +1 more source

Carbon emission quota allocation of high energy consumption industries in undeveloped areas – A case study of Inner Mongolia Autonomous Region

Heliyon, 2022
With the approaching of the target year of carbon peak, all world countries have gradually strengthened carbon emission reduction actions. However, most of the undeveloped countries or regions do not belong to the Annex I countries in the Kyoto Protocol,
Xiufan Zhang, Decheng Fan
doaj   +1 more source

Proposals on Effective Implementation of the Carbon Intensity Indication of Ships

Journal of Marine Science and Engineering
The Carbon Intensity Indicator (CII) regulation is a short-term measure of IMO for reducing GHG emissions from ships. In addition, the 2023 IMO GHG Strategy describes that the CII regulation is anticipated to create a potential synergy effect with other measures.
Mingyu Kim, Jung-Yoon Lee, Samel An, Dae-Jung Hwang   +3 more
openaire   +2 more sources

Possibilities of Fulfillment and Consequences of Introducing the Carbon Intensity Indicator in International Shipping

Rocznik Ochrona Środowiska, 2023
Maritime transport contributes to stimulating the development of civilisation. According to the European Environment Agency, around 1/4 of the total CO2 emissions in the EU in 2019 came from the transport sector, of which 71.7% were from road transport. The share of CO2 emissions from maritime transport is estimated to be about 3% of the world's.
openaire   +1 more source

Structural integrity of Carbon Dioxide transportation infrastructures

, 2013
Carbon Capture and Storage (CCS) is recognised as having a significant role to play in tackling climate change and reducing carbon dioxide (CO2) emissions.
Zargarzadeh, Payam
core   +7 more sources

Dynamic prediction method of power carbon emission intensity based on ISSA-CNN-BiLSTM

Zhongguo dianli
Power carbon emission intensity is an important indicator for measuring the carbon emission level of the power system. Accurate calculation and prediction of power carbon emission intensity are of great significance for effectively implementing carbon ...
Hongwei LI, Laijun WANG, Shuaibing LI, Yunyun YUN, Lixia YANG, Yongqiang KANG   +5 more
doaj   +1 more source

Early warning research on enterprise carbon emission reduction credit risk based on deep learning model under unbalanced data

Frontiers in Energy Research, 2023
To enhance the precision of predicting enterprise credit risk related to carbon emission reduction, this study focuses on publicly traded companies. It introduces a risk early warning model grounded in MLP deep learning.
Zhi Long, Zhi Long, Xiangzhou Chen, Xiangzhou Chen   +3 more
doaj   +1 more source