Global warming, human-induced carbon emissions, and their uncertainties

Fang, Jingyun; Zhu, Jieshun; Wang, Shaopeng; Yue, Chunmei; Shen, Haihua

doi:10.1007/s11430-011-4292-0

Cited by 61 publications

(33 citation statements)

References 74 publications

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“…The possible axial tilting of the earth as a result of the great Sumatra earthquake that triggered the Asian Tsunami in 2004, and the great Chile earthquake of February 2010 had been documented by the National Aeronautic and Space Administration (NASA). In addition, changes in the solar constant (luminosity) had also been observed using open solar magnetic field [25]. Slight changes in the solar output had also been detected by NASA using estimations of the solar meridional circulation and the associated magnitude of its velocity.…”

Section: Preliminary Global Climate Simulationsmentioning

confidence: 92%

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Discovery of the Major Mechanism of Global Warming and Climate Change

Rivera¹

2012

J. basic. appl. sci.

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Abstract:In a two-year study ten commercial date palm varieties were evaluated. The varieties showed varying response to Rhynchophorus ferrugineus Oliv; some varieties suffered heavy infestation while others indicated tolerance against R. ferrugineus. The most tolerant varieties with less infestation percentage against R. ferrugineus were Muzawati (8%) followed by Pathri (12%), Thothar (15%), Khar and Shakri (16%) respectively. The varieties which suffered high infestation rate were Karbalain, Dhedhi, Fasli, Aseel and Eidan Shah. To control the R. ferrugineus infestation pheromone trapping system was used. Significantly more R. ferrugineus (18-21) adults were captured during the 1 st , 2 nd , 3 rd week of July and 2 nd week of June. The studies conducted will be helpful in survey and control of R. ferrugineus infestation in Khairpur District of Sindh province.

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Section: Preliminary Global Climate Simulationsmentioning

confidence: 92%

“…For a more comprehensive climate change attribution, data on total solar irradiance were incorporated in this study. The TSI data set was taken from Steinhilber et al as compiled by NCDC-NOAA [25]. These were derived using open solar magnetic field and extended during the holocene period.…”

Section: Climate Change Attribution Using Multiple Regressionmentioning

confidence: 99%

Discovery of the Major Mechanism of Global Warming and Climate Change

Rivera¹

2012

J. basic. appl. sci.

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“…Global climate warming is one of the most serious environmental conditions currently facing human society, and carbon emissions and the greenhouse effect are considered as important factors of climate change [1][2][3]. Changes in land use cause changes in the carbon cycle of terrestrial ecosystems, which in turn affect the regional carbon balance [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Carbon Storage and Its Influencing Factors in Qinghai-Tibet Plateau

et al. 2018

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Land use/cover change (LUCC) is one of the major factors influencing the storage of ecosystem carbon. The carbon storage in Qinghai-Tibet Plateau, the world's highest plateau, is affected by a combination of many factors. Using MCD12Q1 land classification data, aboveground biomass, belowground biomass, soil carbon and humus carbon data, as well as field sampling data for parameters verification, we applied the InVEST model to simulate the ecosystem carbon storage and the impacts of driving factors. The field survey samples were used to test the regression accuracy, and the results confirmed that the model performance was reasonable and acceptable. The main conclusions of this study are as follows: From 2001 to 2010, carbon storage in the Qinghai-Tibet Plateau increased by 10.39 billion t when assuming that the carbon density in each land cover type was constant. Changes of the land cover types caused carbon storage to increase by 116 million t, which contributed 13.82% of the dynamic carbon storage. Consequently, changes in carbon density accounted for 86.18% of the carbon storage change. In addition, we investigated the soil organic matter and aboveground biomass characteristics between 2012 and 2014 and found that the influences of fencing and dung on carbon storage were positive.

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“…The global climate system is extremely complex, and the factors contributing to global climate change are also complex and diverse (Lean et al, 2008), the fourth assessment report (AR4) released by the Intergovernmental Panel on Climate Change (IPCC) attributed the cause of global warming to greenhouse gas emissions from human activities (Wang, 2010;Fang et al, 2011), and the scientific nature of the conclusion was further confirmed in the fifth assessment report. This conclusion serves as a consensus of governments on climate change issues and provides an important theoretical basis for countries to respond to global changes (Qin, 2016).…”

Section: Introductionmentioning

confidence: 97%

Research on the Direct Carbon Emission Forecast of China's Provincial Residents Based on Neural Network

Zhang

Zhou

2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Global climate change, which mainly effected by human carbon emissions, would affect the regional economic, natural ecological en vironment, social development and food security in the near future. It's particularly important to make accurate predictions of carbon emissions based on current carbon emissions. This paper accounted out the direct consumption of carbon emissions data from 1995 to 2014 about 30 provinces (the data of Tibet, Hong Kong, Macao and Taiwan is missing) and the whole of China. And it selected the optimal models from BP, RBF and Elman neural network for direct carbon emission prediction, what aim was to select the optimal prediction method and explore the possibility of reaching the peak of residents direct carbon emissions of China in 2030. Research shows that: 1) Residents' direct carbon emissions per capita of all provinces showed an upward trend in 20 years.2) The accuracy of the prediction results by Elman neural network model is higher than others and more suitable for carbon emission data projections. 3) With the situation of residents' direct carbon emissions free development, the direct carbon emissions will show a fast to slow upward trend in the next few years and began to flatten after 2020, and the direct carbon emissions of per capita will reach the peak in 2032. This is also confirmed that China is expected to reach its peak in carbon emissions by 2030 in theory.

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Global warming, human-induced carbon emissions, and their uncertainties

Cited by 61 publications

References 74 publications

Discovery of the Major Mechanism of Global Warming and Climate Change

Discovery of the Major Mechanism of Global Warming and Climate Change

Assessment of Carbon Storage and Its Influencing Factors in Qinghai-Tibet Plateau

Research on the Direct Carbon Emission Forecast of China's Provincial Residents Based on Neural Network

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