Zobrazeno 1 - 10
of 16 855
pro vyhledávání: '"G, Luo"'
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 24, Pp 3497-3517 (2024)
Pile–slab retaining walls, as innovative rockfall protection structures, have been extensively utilized in the western mountainous regions of China. With their characteristics of a small footprint, high interception height, and ease of construction
Externí odkaz:
https://doaj.org/article/39b0605fdc1b4b468ca80fac157c93f9
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-2024, Pp 277-282 (2024)
The Chlorophyll-a (Chla) concentration is an important parameter characterizing the water quality of rivers and lakes. Satellite remote sensing provides new opportunities for the quantitative monitoring of Chla concentration in large-scale water bodi
Externí odkaz:
https://doaj.org/article/e9a0eb42979e4837b3974f8f89943983
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-2024, Pp 463-468 (2024)
Urban lakes serve an indispensable role in maintaining the ecological balance of cities, ensuring flood safety, and providing recreational spaces for tourism. With the development of human activities and economic, the extent of urban lakes are inevit
Externí odkaz:
https://doaj.org/article/fadb153e9e7d4013aca9452057c54cab
Publikováno v:
Hydrology and Earth System Sciences, Vol 27, Pp 4551-4562 (2023)
In the context of global warming, an increase in atmospheric aridity and global dryland expansion under the future climate has been expected in previous studies. However, this conflicts with observed greening over drylands and the insignificant incre
Externí odkaz:
https://doaj.org/article/ee353f25e60a4473b7522d7c08521c3f
Publikováno v:
Biogeosciences, Vol 20, Pp 2727-2741 (2023)
Using statistical methods that do not directly represent the causality between variables to attribute climate and plant traits as controlling ecosystem functions may lead to biased perceptions. We revisited this issue using a causal graphical model,
Externí odkaz:
https://doaj.org/article/40aab9fe303b4bcda539c52b40b3baca
Autor:
S. Zhai, D. J. Jacob, D. C. Pendergrass, N. K. Colombi, V. Shah, L. H. Yang, Q. Zhang, S. Wang, H. Kim, Y. Sun, J.-S. Choi, J.-S. Park, G. Luo, F. Yu, J.-H. Woo, Y. Kim, J. E. Dibb, T. Lee, J.-S. Han, B. E. Anderson, K. Li, H. Liao
Publikováno v:
Atmospheric Chemistry and Physics, Vol 23, Pp 4271-4281 (2023)
Air quality network data in China and South Korea show very high year-round mass concentrations of coarse particulate matter (PM), as inferred by the difference between PM10 and PM2.5. Coarse PM concentrations in 2015 averaged 52 µg m−3 in the Nor
Externí odkaz:
https://doaj.org/article/4cdf89ae69f74737b9d41e21dddd29c3
Publikováno v:
Atmospheric Chemistry and Physics, Vol 23, Pp 4149-4163 (2023)
Fine particulate matter (PM2.5) pollution is a severe problem in China. Research on the sources of Chinese PM2.5 pollution has focused on the contributions of China's domestic emissions. However, the impact of foreign anthropogenic emissions has typi
Externí odkaz:
https://doaj.org/article/2cf1fef94aa747ab9b2b92e63fd78e61
Publikováno v:
Atmospheric Chemistry and Physics, Vol 23, Pp 1863-1877 (2023)
While formation and growth of particles in the troposphere have been extensively studied in the past two decades, very limited efforts have been devoted to understanding these in the stratosphere. Here we use both Cosmics Leaving OUtdoor Droplets (CL
Externí odkaz:
https://doaj.org/article/d448dab87df2481abab69dcd493534e2
Autor:
H. Shi, G. Luo, O. Hellwich, M. Xie, C. Zhang, Y. Zhang, Y. Wang, X. Yuan, X. Ma, W. Zhang, A. Kurban, P. De Maeyer, T. Van de Voorde
Publikováno v:
Hydrology and Earth System Sciences, Vol 26, Pp 4603-4618 (2022)
With the rapid accumulation of water flux observations from global eddy-covariance flux sites, many studies have used data-driven approaches to model water fluxes, with various predictors and machine learning algorithms used. However, it is unclear h
Externí odkaz:
https://doaj.org/article/489b1a1733514245bdabe734541a4128
Autor:
H. Shi, G. Luo, O. Hellwich, M. Xie, C. Zhang, Y. Zhang, Y. Wang, X. Yuan, X. Ma, W. Zhang, A. Kurban, P. De Maeyer, T. Van de Voorde
Publikováno v:
Biogeosciences, Vol 19, Pp 3739-3756 (2022)
Net ecosystem exchange (NEE) is an important indicator of carbon cycling in terrestrial ecosystems. Many previous studies have combined flux observations and meteorological, biophysical, and ancillary predictors using machine learning to simulate the
Externí odkaz:
https://doaj.org/article/1838d097c6da46278c3a48c98b251cb9