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| Subsidy analysis and development trend forecast of China's unconventional natural gas under the new unconventional gas subsidy policy [期刊论文] Energy Policy, 2021-01-01, 153 Liu J.; Li Z.; Duan X.; Luo D.; Zhao X.; Liu R.
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| Electricity demand during pandemic times: The case of the COVID-19 in Spain [期刊论文] Energy Policy, 2021-01-01, 148 Santiago I.; Moreno-Munoz A.; Quintero-Jiménez P.; Garcia-Torres F.; Gonzalez-Redondo M.J.
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| Addressing the meteotsunami risk in the united states [期刊论文] Natural Hazards, 2021-01-01, 106 (2 Angove M.; Kozlosky L.; Chu P.; Dusek G.; Mann G.; Anderson E.; Gridley J.; Arcas D.; Titov V.; Eble M.; McMahon K.; Hirsch B.; Zaleski W.
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| Comparative study of very short-term flood forecasting using physics-based numerical model and data-driven prediction model [期刊论文] Natural Hazards, 2021-01-01, 107 (1 Hussain F.; Wu R.-S.; Wang J.-X.
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| Meteotsunami model forecast: can coastal hazard be quantified in real time? [期刊论文] Natural Hazards, 2021-01-01, 106 (2 Titov V.; Moore C.
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| Forecasting PM10 and PM2.5 in the Aburrá Valley (Medellín, Colombia) via EnKF based data assimilation [期刊论文] Atmospheric Environment, 2020-01-01, 232 Lopez-Restrepo S.; Yarce A.; Pinel N.; Quintero O.L.; Segers A.; Heemink A.W.
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| Hybridized neural fuzzy ensembles for dust source modeling and prediction [期刊论文] Atmospheric Environment, 2020-01-01, 224 Rahmati O.; Panahi M.; Ghiasi S.S.; Deo R.C.; Tiefenbacher J.P.; Pradhan B.; Jahani A.; Goshtasb H.; Kornejady A.; Shahabi H.; Shirzadi A.; Khosravi H.; Moghaddam D.D.; Mohtashamian M.; Tien Bui D.
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| Ensemble averaging based assessment of spatiotemporal variations in ambient PM2.5 concentrations over Delhi, India, during 2010–2016 [期刊论文] Atmospheric Environment, 2020-01-01, 224 Mandal S.; Madhipatla K.K.; Guttikunda S.; Kloog I.; Prabhakaran D.; Schwartz J.D.; GeoHealth Hub India Team
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| An enhanced interval PM2.5 concentration forecasting model based on BEMD and MLPI with influencing factors [期刊论文] Atmospheric Environment, 2020-01-01, 223 Wang Z.; Chen L.; Ding Z.; Chen H.
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| A novel framework for daily forecasting of ozone mass concentrations based on cycle reservoir with regular jumps neural networks [期刊论文] Atmospheric Environment, 2020-01-01, 220 Mo Y.; Li Q.; Karimian H.; Fang S.; Tang B.; Chen G.; Sachdeva S.
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