In May 2017, Department of Science, Technology and Standards, MEP, China held the first training conference of “2017 CCUS environmental risk assessment technology”. After the conference, specially designed questionnaires were sent to the participants so as to collect the professional opinions to improve the guideline in the next revision. Basic information of participants, knowledge of capture, utilization and geological storage (CCUS), and attitude to the CCUS environmental risk are contained in the questionnaires. The 82 questionnaires were issued to the participants, and 77 valid questionnaires were collected with the response rate of 93.9%. According to the data mining, (a) nearly one third of the participants had not heard of the CCUS before the training; (b) the attitude to CCUS environmental impact and risk is influenced by the knowledge of CCUS; (c) the severities of the three aspects of capture component are medium; (d) for onshore CCUS projects, underground water, atmosphere, soil, and human health were considered the highest sensitivity receptors; (e) the enterprises were very concerned of the CCUS environmental management policies, three most important policies were conducting environmental monitoring across the whole chain, clarifying the environmental management responsibilities, and establishing emergency plans for environmental accidents. The result of this survey would provide the guidance for the improvement of the technical guideline which planned to be released during the official version in 2020.
{"title":"PERCEPTIONS AND ACCEPTANCE OF CCUS ENVIRONMENTAL RISK ASSESSMENT, BY EXPERTS AND GOVERNMENT OFFICERS, IN CHINA","authors":"Guizhen Liu, Bofeng Cai, QI Li, G. Leamon, Libin Cao, Ying Zhou","doi":"10.1142/s2630534819500104","DOIUrl":"https://doi.org/10.1142/s2630534819500104","url":null,"abstract":"In May 2017, Department of Science, Technology and Standards, MEP, China held the first training conference of “2017 CCUS environmental risk assessment technology”. After the conference, specially designed questionnaires were sent to the participants so as to collect the professional opinions to improve the guideline in the next revision. Basic information of participants, knowledge of capture, utilization and geological storage (CCUS), and attitude to the CCUS environmental risk are contained in the questionnaires. The 82 questionnaires were issued to the participants, and 77 valid questionnaires were collected with the response rate of 93.9%. According to the data mining, (a) nearly one third of the participants had not heard of the CCUS before the training; (b) the attitude to CCUS environmental impact and risk is influenced by the knowledge of CCUS; (c) the severities of the three aspects of capture component are medium; (d) for onshore CCUS projects, underground water, atmosphere, soil, and human health were considered the highest sensitivity receptors; (e) the enterprises were very concerned of the CCUS environmental management policies, three most important policies were conducting environmental monitoring across the whole chain, clarifying the environmental management responsibilities, and establishing emergency plans for environmental accidents. The result of this survey would provide the guidance for the improvement of the technical guideline which planned to be released during the official version in 2020.","PeriodicalId":262307,"journal":{"name":"International Journal of Big Data Mining for Global Warming","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122206437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1142/s2661339519990014
{"title":"AUTHOR INDEX Volume 1 (2019)","authors":"","doi":"10.1142/s2661339519990014","DOIUrl":"https://doi.org/10.1142/s2661339519990014","url":null,"abstract":"","PeriodicalId":262307,"journal":{"name":"International Journal of Big Data Mining for Global Warming","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129566462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1142/s2630534819500086
Danish Hassan, Muhammad Fahim Akhter, Shaheen Abbas
The influence of solar activity on climate system at regional or global scales cannot be neglected. In this study, we will stimulate full-length sunspot time series (1932–2014) and all four Hale cycles by fractional auto regressive integrated moving average (FARIMA ([Formula: see text], [Formula: see text], [Formula: see text])) model. By minimizing Akaike information criterion (AIC), Bayesian–Schwarz information criterion (BIC) and Hannan–Quinn information criterion (HIC), the best FARIMA model for full-length sunspot time series is [Formula: see text] where [Formula: see text] is the back shift operator and [Formula: see text] is a white noise.
{"title":"FARIMA MODELING OF SUNSPOT HALE CYCLES TIME SERIES","authors":"Danish Hassan, Muhammad Fahim Akhter, Shaheen Abbas","doi":"10.1142/s2630534819500086","DOIUrl":"https://doi.org/10.1142/s2630534819500086","url":null,"abstract":"The influence of solar activity on climate system at regional or global scales cannot be neglected. In this study, we will stimulate full-length sunspot time series (1932–2014) and all four Hale cycles by fractional auto regressive integrated moving average (FARIMA ([Formula: see text], [Formula: see text], [Formula: see text])) model. By minimizing Akaike information criterion (AIC), Bayesian–Schwarz information criterion (BIC) and Hannan–Quinn information criterion (HIC), the best FARIMA model for full-length sunspot time series is [Formula: see text] where [Formula: see text] is the back shift operator and [Formula: see text] is a white noise.","PeriodicalId":262307,"journal":{"name":"International Journal of Big Data Mining for Global Warming","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116218514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-06DOI: 10.1142/S2630534819500025
Xin Ye, Xiaoyuan Yang, B. Zhou, Dang-Jun Wang, Hua-kun Zhou, Wei-Xin Xu, B. Yao, Zhen Ma, Yi‐Kang Li, Yong-sheng Yang, WEN-HUA Xu
Through studying vegetation phenology and its relation to meteorological factors in a representative region, we can get the responsiveness of vegetation phenophase in different sites to climate changes and how it affects vegetation productivity by the changes of growing season. It is crucial to enhance the accuracy of carbon sequestration estimate. We use phenological observation data and corresponding meteorological data from weather stations of six counties in Qinghai province. The conclusions are (1) In the background of global climate change, the temperature of the pastoral area of Qinghai takes a significantly increasing trend. The precipitation also takes an increasing trend, but only the site of Qumalai is significant. (2) The green-up dates of forages in every site are not significant, but the withered dates of forages are significantly put off. In the sites of Gande and Haiyan, the major forages put off in withered dates are Gramineae, in the site of Henan, Cyperaceae is significantly put off. Significantly extended growing season of representative forages of Gramineae, Cyperaceae and other broad-leaved herb exist in the pastoral area of Qinghai. (3) In terms of relations between green-up date and temperature, the influence of site scale is greater than the influence of different species, and advanced green-up dates of forages in the sites of Henan and Haiyan are longer than the dates of the same forages in the site of Gande. Overall, green-up dates of forages advanced in the site of Henan (Avg3.67 days/[Formula: see text]C) are longer than the dates in the site of Gande (Avg1.31 days/[Formula: see text]C). In terms of relations between green-up date and precipitation, divergences of sites and species exist. The green-up dates of forages in the sites of both Qumalai and Tongde have significant negative correlation with precipitation. In the site of Haiyan, the green-up dates of some forages advance, and the green-up dates of some forages put off. On the whole, Gramineae is best responded, then Cyperaceae and broad-leaved herb show hardly any responsiveness. (4) The responsiveness of temperature is less than precipitation in the pastoral area of Qinghai. Forages in Tongde and Qumalai have significantly positive correlation with the accumulation precipitation from August to September. The differences are the delayed dates of the withered dates of Cyperaceae (2.97 days/10[Formula: see text]mm) which are longer than the delayed dates of the withered dates of Gramineae (2.02 days/10[Formula: see text]mm) in the site of Qumalai. Conversely, the delayed dates of the withered dates of Gramineae (3.13 days/10[Formula: see text]mm) are longer than the delayed dates of the withered dates of Cyperaceae (1.68 days/10[Formula: see text]mm) in the site of Tongde. (5) Only parts of sites in the pastoral area of Qinghai have the tendency of significant increment of forage yield. The precipitations in the sites of Gande, Qumalai and Xinghai can significan
{"title":"RELATIONSHIP BETWEEN PHENOLOGY, PRODUCTIVITY, AND METEOROLOGICAL FACTORS IN RECENT 15 YEARS IN THE PASTORAL AREA OF QINGHAI, CHINA","authors":"Xin Ye, Xiaoyuan Yang, B. Zhou, Dang-Jun Wang, Hua-kun Zhou, Wei-Xin Xu, B. Yao, Zhen Ma, Yi‐Kang Li, Yong-sheng Yang, WEN-HUA Xu","doi":"10.1142/S2630534819500025","DOIUrl":"https://doi.org/10.1142/S2630534819500025","url":null,"abstract":"Through studying vegetation phenology and its relation to meteorological factors in a representative region, we can get the responsiveness of vegetation phenophase in different sites to climate changes and how it affects vegetation productivity by the changes of growing season. It is crucial to enhance the accuracy of carbon sequestration estimate. We use phenological observation data and corresponding meteorological data from weather stations of six counties in Qinghai province. The conclusions are (1) In the background of global climate change, the temperature of the pastoral area of Qinghai takes a significantly increasing trend. The precipitation also takes an increasing trend, but only the site of Qumalai is significant. (2) The green-up dates of forages in every site are not significant, but the withered dates of forages are significantly put off. In the sites of Gande and Haiyan, the major forages put off in withered dates are Gramineae, in the site of Henan, Cyperaceae is significantly put off. Significantly extended growing season of representative forages of Gramineae, Cyperaceae and other broad-leaved herb exist in the pastoral area of Qinghai. (3) In terms of relations between green-up date and temperature, the influence of site scale is greater than the influence of different species, and advanced green-up dates of forages in the sites of Henan and Haiyan are longer than the dates of the same forages in the site of Gande. Overall, green-up dates of forages advanced in the site of Henan (Avg3.67 days/[Formula: see text]C) are longer than the dates in the site of Gande (Avg1.31 days/[Formula: see text]C). In terms of relations between green-up date and precipitation, divergences of sites and species exist. The green-up dates of forages in the sites of both Qumalai and Tongde have significant negative correlation with precipitation. In the site of Haiyan, the green-up dates of some forages advance, and the green-up dates of some forages put off. On the whole, Gramineae is best responded, then Cyperaceae and broad-leaved herb show hardly any responsiveness. (4) The responsiveness of temperature is less than precipitation in the pastoral area of Qinghai. Forages in Tongde and Qumalai have significantly positive correlation with the accumulation precipitation from August to September. The differences are the delayed dates of the withered dates of Cyperaceae (2.97 days/10[Formula: see text]mm) which are longer than the delayed dates of the withered dates of Gramineae (2.02 days/10[Formula: see text]mm) in the site of Qumalai. Conversely, the delayed dates of the withered dates of Gramineae (3.13 days/10[Formula: see text]mm) are longer than the delayed dates of the withered dates of Cyperaceae (1.68 days/10[Formula: see text]mm) in the site of Tongde. (5) Only parts of sites in the pastoral area of Qinghai have the tendency of significant increment of forage yield. The precipitations in the sites of Gande, Qumalai and Xinghai can significan","PeriodicalId":262307,"journal":{"name":"International Journal of Big Data Mining for Global Warming","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129733422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-06DOI: 10.1142/S2630534819010010
D. Huisingh, Zhihua Zhang
{"title":"EDITORIAL: BIG DATA MINING APPROACHES FOR HELPING TO REDUCE AND PREVENT GLOBAL WARMING","authors":"D. Huisingh, Zhihua Zhang","doi":"10.1142/S2630534819010010","DOIUrl":"https://doi.org/10.1142/S2630534819010010","url":null,"abstract":"","PeriodicalId":262307,"journal":{"name":"International Journal of Big Data Mining for Global Warming","volume":"516 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116220346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-06DOI: 10.1142/S2630534819500037
A. Huo, Xiaofan Wang, Yuxiang Cheng, Chunli Zheng, Jiang Cheng
Assessing the impacts of climate change on hydrological regime and associated social and economic activities (such as farming) is important for water resources management in any river basin. In this study, we used the popular Soil and Water Assessment Tool (SWAT) to evaluate the impacts of future climate change on the availability of water resources in the Heihe River basin located within Shaanxi Province, China, in terms of runoff and streamflow. The results show that over the next 40 years (starting in 2020 till 2059), changes in the averaged annual runoff ratio are approximately [Formula: see text]11.0%, [Formula: see text]6.4%, 7.2%, and 20.4% for each of the next four consecutive decades as compared to the baseline period (2010–2019). The predicted annual runoff demonstrates an increase trend after a reduction and may result in increased drought and flood risk in the Heihe River basin. To minimize or mitigate these impacts, various adaptation methods have been proposed for the study area, such as stopping irrigation, flood control operation; reasonable development and utilization of regional underground water sources should be implemented in Zhouzhi county and Huyi region in the lower reaches of Heihe River basin.
{"title":"IMPACT OF FUTURE CLIMATE CHANGE (2020–2059) ON THE HYDROLOGICAL REGIME IN THE HEIHE RIVER BASIN IN SHAANXI PROVINCE, CHINA","authors":"A. Huo, Xiaofan Wang, Yuxiang Cheng, Chunli Zheng, Jiang Cheng","doi":"10.1142/S2630534819500037","DOIUrl":"https://doi.org/10.1142/S2630534819500037","url":null,"abstract":"Assessing the impacts of climate change on hydrological regime and associated social and economic activities (such as farming) is important for water resources management in any river basin. In this study, we used the popular Soil and Water Assessment Tool (SWAT) to evaluate the impacts of future climate change on the availability of water resources in the Heihe River basin located within Shaanxi Province, China, in terms of runoff and streamflow. The results show that over the next 40 years (starting in 2020 till 2059), changes in the averaged annual runoff ratio are approximately [Formula: see text]11.0%, [Formula: see text]6.4%, 7.2%, and 20.4% for each of the next four consecutive decades as compared to the baseline period (2010–2019). The predicted annual runoff demonstrates an increase trend after a reduction and may result in increased drought and flood risk in the Heihe River basin. To minimize or mitigate these impacts, various adaptation methods have been proposed for the study area, such as stopping irrigation, flood control operation; reasonable development and utilization of regional underground water sources should be implemented in Zhouzhi county and Huyi region in the lower reaches of Heihe River basin.","PeriodicalId":262307,"journal":{"name":"International Journal of Big Data Mining for Global Warming","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129695007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-06DOI: 10.1142/S2630534819500049
A. B. Serur
This study investigates on variabilities in annual precipitation, maximum temperature, and minimum temperature within the Weyb River basin during 2006–2100 under representative concentration pathway (RCP) 2.6/4.5/8.5 scenarios based on predictions of three Earth System Models (GFDL-ESM2M, CanESM2, and GFDL-ESM2G). Our results showed that precipitation, maximum temperature, and minimum temperature would rise in the near term (2011–2040), the medium term (2041–2070), and the long term (2071–2100) as compared to the baseline scenario (1981–2005). The larger increments are predicted by GFDL-ESM2M than those by GFDL-ESM2G and CanESM2 in all three time periods. The variabilities of precipitation, maximum temperature, and minimum temperature are predicted to be higher under RCP8.5 scenario than those under RCP4.5 or RCP2.6 scenario in simulations of all three ESMs. Results also revealed that there would be significant spatiotemporal variations in precipitation, maximum temperature, and minimum temperature within the Weyb River basin, which implies that the basin would possibly experience droughts or floods more frequently during the 21st century.
{"title":"TRENDS AND VARIABILITIES IN ANNUAL PRECIPITATION AND TEMPERATURE DURING 2006–2100 IN THE WEYB RIVER BASIN, ETHIOPIA","authors":"A. B. Serur","doi":"10.1142/S2630534819500049","DOIUrl":"https://doi.org/10.1142/S2630534819500049","url":null,"abstract":"This study investigates on variabilities in annual precipitation, maximum temperature, and minimum temperature within the Weyb River basin during 2006–2100 under representative concentration pathway (RCP) 2.6/4.5/8.5 scenarios based on predictions of three Earth System Models (GFDL-ESM2M, CanESM2, and GFDL-ESM2G). Our results showed that precipitation, maximum temperature, and minimum temperature would rise in the near term (2011–2040), the medium term (2041–2070), and the long term (2071–2100) as compared to the baseline scenario (1981–2005). The larger increments are predicted by GFDL-ESM2M than those by GFDL-ESM2G and CanESM2 in all three time periods. The variabilities of precipitation, maximum temperature, and minimum temperature are predicted to be higher under RCP8.5 scenario than those under RCP4.5 or RCP2.6 scenario in simulations of all three ESMs. Results also revealed that there would be significant spatiotemporal variations in precipitation, maximum temperature, and minimum temperature within the Weyb River basin, which implies that the basin would possibly experience droughts or floods more frequently during the 21st century.","PeriodicalId":262307,"journal":{"name":"International Journal of Big Data Mining for Global Warming","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133584512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-06DOI: 10.1142/S2630534819500013
Arya Soman, N. Chithra
Impact assessment of regional climate change is very important as change in climate has emerged as one of the major threats to water resource systems and would significantly affect streamflow, soil moisture and water availability. The study used output of the Regional Climate Model (RCM) Remo2009 (Max-Planck-Institute (MPI)) to analyze the potential impacts of climate change on irrigated agriculture in the Chaliyar river basin, India. Streamflow and evapotranspiration were simulated using validated Hydrologic Engineering Center’s Hydrologic Modeling System (HEC-HMS) model. The estimation of irrigation water requirement (IWR) was performed using Food and Agriculture Organization (FAO) method for the period 2021–2030 and 2051–2060. Results show that projected streamflow increases during June to September and decreases during October to December and January to May in future. Crop water requirement and IWR showed an increase during dry season and decrease during wet season. The increase/decrease in streamflow and IWR during wet/dry season is more in the far future than near future and for RCP 8.5 scenario than RCP 4.5 scenario.
{"title":"IMPACTS OF CLIMATE CHANGE ON IRRIGATED AGRICULTURE IN THE CHALIYAR RIVER BASIN IN KERALA, INDIA","authors":"Arya Soman, N. Chithra","doi":"10.1142/S2630534819500013","DOIUrl":"https://doi.org/10.1142/S2630534819500013","url":null,"abstract":"Impact assessment of regional climate change is very important as change in climate has emerged as one of the major threats to water resource systems and would significantly affect streamflow, soil moisture and water availability. The study used output of the Regional Climate Model (RCM) Remo2009 (Max-Planck-Institute (MPI)) to analyze the potential impacts of climate change on irrigated agriculture in the Chaliyar river basin, India. Streamflow and evapotranspiration were simulated using validated Hydrologic Engineering Center’s Hydrologic Modeling System (HEC-HMS) model. The estimation of irrigation water requirement (IWR) was performed using Food and Agriculture Organization (FAO) method for the period 2021–2030 and 2051–2060. Results show that projected streamflow increases during June to September and decreases during October to December and January to May in future. Crop water requirement and IWR showed an increase during dry season and decrease during wet season. The increase/decrease in streamflow and IWR during wet/dry season is more in the far future than near future and for RCP 8.5 scenario than RCP 4.5 scenario.","PeriodicalId":262307,"journal":{"name":"International Journal of Big Data Mining for Global Warming","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133933171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-17DOI: 10.1142/S2630534819500062
A. Raza, R. Gholami, M. Rabiei, V. Rasouli, R. Rezaee
Pakistan is ranked in the 7th position among the affected countries by climate changes. Although many studies have been done on the impacts of climate change in Pakistan, little attention has been given to the need for an energy transition and reduction of greenhouse gas emissions in this country. This study highlights the needs of the national energy transition in Pakistan to reduce the greenhouse gas emissions. Considering the fact that natural gas has lower greenhouse gas emission than coal or oil, Pakistan needs to shift its energy system towards natural gas in the near future. Meanwhile, Pakistan government should take key measures and revise energy policies to support such energy transition by making large gas discoveries, increasing energy conversion systems, and implementing renewable and sustainable energies.
{"title":"GREENHOUSE GAS EMISSIONS AND ENERGY TRANSITION IN PAKISTAN","authors":"A. Raza, R. Gholami, M. Rabiei, V. Rasouli, R. Rezaee","doi":"10.1142/S2630534819500062","DOIUrl":"https://doi.org/10.1142/S2630534819500062","url":null,"abstract":"Pakistan is ranked in the 7th position among the affected countries by climate changes. Although many studies have been done on the impacts of climate change in Pakistan, little attention has been given to the need for an energy transition and reduction of greenhouse gas emissions in this country. This study highlights the needs of the national energy transition in Pakistan to reduce the greenhouse gas emissions. Considering the fact that natural gas has lower greenhouse gas emission than coal or oil, Pakistan needs to shift its energy system towards natural gas in the near future. Meanwhile, Pakistan government should take key measures and revise energy policies to support such energy transition by making large gas discoveries, increasing energy conversion systems, and implementing renewable and sustainable energies.","PeriodicalId":262307,"journal":{"name":"International Journal of Big Data Mining for Global Warming","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128791423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-04DOI: 10.1142/S2630534819500050
A. Stewart, JungSu Oh
One aspect of the psychology of weather and climate concerns the multiple meanings that may be associated with weather and climate as event. Atmospheric scientists and journalists have increasingly described both weather and climate as event. In this paper, the authors documented the increasing use of weather and climate as events in the scholarly literature of the American Meteorological Society and in newspaper articles over time. The authors also conducted pathfinder network scaling analyses with event-related terms to assess the meanings of events in academic and journalistic writing. The analyses suggested four contexts of event meanings: (1) study of ordinary weather or climate occurrences, (2) the study and attribution of severe and extreme weather, (3) societal impacts of weather, and (4) the public lexicon. Communicating about weather and climates as event contributes to the development and evolution of the public idea of climate change. The burgeoning of event in discourse contributes to the public idea of climate change in at least three ways: (1) events contribute specificity to the more general idea of climate change; (2) events contribute experientiality of climate change, and (3) events contribute exemplification to the public idea of climate change to the extent that weather events can be attributed to climate change.
{"title":"WEATHER AND CLIMATE AS EVENTS: CONTRIBUTIONS TO THE PUBLIC IDEA OF CLIMATE CHANGE","authors":"A. Stewart, JungSu Oh","doi":"10.1142/S2630534819500050","DOIUrl":"https://doi.org/10.1142/S2630534819500050","url":null,"abstract":"One aspect of the psychology of weather and climate concerns the multiple meanings that may be associated with weather and climate as event. Atmospheric scientists and journalists have increasingly described both weather and climate as event. In this paper, the authors documented the increasing use of weather and climate as events in the scholarly literature of the American Meteorological Society and in newspaper articles over time. The authors also conducted pathfinder network scaling analyses with event-related terms to assess the meanings of events in academic and journalistic writing. The analyses suggested four contexts of event meanings: (1) study of ordinary weather or climate occurrences, (2) the study and attribution of severe and extreme weather, (3) societal impacts of weather, and (4) the public lexicon. Communicating about weather and climates as event contributes to the development and evolution of the public idea of climate change. The burgeoning of event in discourse contributes to the public idea of climate change in at least three ways: (1) events contribute specificity to the more general idea of climate change; (2) events contribute experientiality of climate change, and (3) events contribute exemplification to the public idea of climate change to the extent that weather events can be attributed to climate change.","PeriodicalId":262307,"journal":{"name":"International Journal of Big Data Mining for Global Warming","volume":"414 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124434902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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