Items/Page: Sort: |
| Driving mechanism and decoupling effect of PM2.5 emissions: Empirical evidence from China's industrial sector [期刊论文] Energy Policy, 2021-01-01, 149 Fang D.; Yu B.
View/Download:17/0 |
| Driving factors of differences in primary energy intensities of 14 European countries [期刊论文] Energy Policy, 2021-01-01, 149 Guevara Z.; Henriques S.; Sousa T.
View/Download:3/0 |
| Optimal scale of natural gas reserves in China under increasing and fluctuating demand: A quantitative analysis [期刊论文] Energy Policy, 2021-01-01, 152 Li T.; Liu P.; Li Z.
View/Download:3/0 |
| Spatial heterogeneity and evolution trend of regional green innovation efficiency–an empirical study based on panel data of industrial enterprises in China's provinces* [期刊论文] Energy Policy, 2021-01-01, 156 Miao C.-L.; Duan M.-M.; Zuo Y.; Wu X.-Y.
View/Download:21/0 |
| Investigating spatial variability of CO2 emissions in heavy industry: Evidence from a geographically weighted regression model [期刊论文] Energy Policy, 2021-01-01, 149 Xu B.; Lin B.
View/Download:10/0 |
| Identification of conflict between wildlife living spaces and human activity spaces and adjustments in/around protected areas under climate change:A case study in the Three-River Source Region [期刊论文] Journal of Environmental Management, 2020-01-01, 262 Ma B.; Xie Y.; Zhang T.; Zeng W.; Hu G.
View/Download:75/0 |
| Hierarchical network design for nitrogen dioxide measurement in urban environments [期刊论文] Atmospheric Environment, 2020-01-01, 228 Weissert L.; Miles E.; Miskell G.; Alberti K.; Feenstra B.; Henshaw G.S.; Papapostolou V.; Patel H.; Polidori A.; Salmond J.A.; Williams D.E.
View/Download:22/0 |
| Low-cost NO2 monitoring and predictions of urban exposure using universal kriging and land-use regression modelling in Mysore, India [期刊论文] Atmospheric Environment, 2020-01-01, 226 Nori-Sarma A.; Thimmulappa R.K.; Venkataramana G.V.; Fauzie A.K.; Dey S.K.; Venkareddy L.K.; Berman J.D.; Lane K.J.; Fong K.C.; Warren J.L.; Bell M.L.
View/Download:33/0 |
| Concurrent spatiotemporal daily land use regression modeling and missing data imputation of fine particulate matter using distributed space-time expectation maximization [期刊论文] Atmospheric Environment, 2020-01-01, 224 Taghavi-Shahri S.M.; Fassò A.; Mahaki B.; Amini H.
View/Download:14/0 |
| Application of land use regression to assess exposure and identify potential sources in PM2.5, BC, NO2 concentrations [期刊论文] Atmospheric Environment, 2020-01-01, 223 Cai J.; Ge Y.; Li H.; Yang C.; Liu C.; Meng X.; Wang W.; Niu C.; Kan L.; Schikowski T.; Yan B.; Chillrud S.N.; Kan H.; Jin L.
View/Download:70/0 |