Zobrazeno 1 - 10
of 87
pro vyhledávání: '"N-P Chang"'
Autor:
K. Bai, K. Li, L. Shao, X. Li, C. Liu, Z. Li, M. Ma, D. Han, Y. Sun, Z. Zheng, R. Li, N.-B. Chang, J. Guo
Publikováno v:
Earth System Science Data, Vol 16, Pp 2425-2448 (2024)
The Long-term Gap-free High-resolution Air Pollutants (LGHAP) concentration dataset generated in our previous study has provided spatially contiguous daily aerosol optical depth (AOD) and fine particulate matter (PM2.5) concentrations at a 1 km grid
Externí odkaz:
https://doaj.org/article/2687da339d49481b89af6480e39c70c5
Autor:
Marilyn N. Vera-Chang, John M. Danforth, Marilyne Stuart, Aaron A. Goodarzi, Marjorie Brand, Richard B. Richardson
Publikováno v:
Clinical Epigenetics, Vol 15, Iss 1, Pp 1-20 (2023)
Abstract Background Alpha (α)-radiation is a ubiquitous environmental agent with epigenotoxic effects. Human exposure to α-radiation at potentially harmful levels can occur repetitively over the long term via inhalation of naturally occurring radon
Externí odkaz:
https://doaj.org/article/adacb039bcf643f4870cc3da4a3ebc1c
Publikováno v:
The Astrophysical Journal Letters, Vol 966, Iss 2, p L33 (2024)
The first-generation metal-free stars, referred to as Population III (Pop III) stars, are believed to be the first objects to form out of the pristine gas in the very early Universe. Pop III stars have different structures from the current generation
Externí odkaz:
https://doaj.org/article/bd0e58800a5c484c9acce4d23d745d95
Autor:
Y. K. Chen, Y. T. Lin, H. Y. Yen, N. H. Chang, H. M. Lin, K. H. Yang, C. S. Chen, L. P. Wang, H. K. Cheng, H. H. Wu, J. Y. Han
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2022, Pp 1091-1096 (2022)
Taiwan is located in subtropical monsoon area and Pacific Ring of Fire. Both the rate of crustal uplift and annual rainfall are among the highest in the world. Earthquakes and heavy rainfall have led to massive landslides and debris flow. Frequent di
Externí odkaz:
https://doaj.org/article/6e08a1236e97466d95551353938c2a9a
Publikováno v:
Earth System Science Data, Vol 14, Pp 907-927 (2022)
Developing a big data analytics framework for generating the Long-term Gap-free High-resolution Air Pollutant concentration dataset (abbreviated as LGHAP) is of great significance for environmental management and Earth system science analysis. By syn
Externí odkaz:
https://doaj.org/article/ee01206c5e86419a972b66798f328b8e
Publikováno v:
Hydrology and Earth System Sciences, Vol 25, Pp 945-956 (2021)
Prediction of mean annual runoff is of great interest but still poses a challenge in ungauged basins. The present work diagnoses the prediction in mean annual runoff affected by the uncertainty in estimated distribution of soil water storage capacity
Externí odkaz:
https://doaj.org/article/418319d570684087bec36e402a2dc735
Publikováno v:
Earth System Science Data, Vol 12, Pp 3067-3080 (2020)
In situ PM2.5 concentration observations have long been used as critical data sources in haze-related studies. Due to the frequently occurring haze pollution events, China started to regularly monitor PM2.5 concentration nationwide from the newly est
Externí odkaz:
https://doaj.org/article/912d3e4a53ed4354b2ecc478786902fb
Publikováno v:
Atmospheric Measurement Techniques, Vol 13, Pp 1213-1226 (2020)
Data gaps in surface air quality measurements significantly impair the data quality and the exploration of these valuable data sources. In this study, a novel yet practical method called diurnal-cycle-constrained empirical orthogonal function (DCCEOF
Externí odkaz:
https://doaj.org/article/96296deb99b24c348c3979c5fe953c07
Publikováno v:
Looking Beyond the Frontiers of Science. :i-x
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2019)
The antidepressant fluoxetine (FLX), generally the first line of pharmacological treatment in adolescents and pregnant women with affective disorders, is an emerging endocrine disruptor that is also released to the environment through sewage. Recentl
Externí odkaz:
https://doaj.org/article/eccc3354eb754f0d81af6d9dc3d3ed38