Exploiting and Utilizing the Novel Annual Wild Barleys Germplasms on the Qing-Tibetan Plateau

2012 ◽  
pp. 99-113
Author(s):  
Dongfa Sun ◽  
Tingwen Xu ◽  
Guoping Zhang ◽  
Zhao Ling ◽  
Daokun Sun ◽  
...  
Keyword(s):  
Tibetan Plateau ◽  
The Novel

scholarly journals Developing a novel hybrid model for the estimation of surface 8 h ozone (O<sub>3</sub>) across the remote Tibetan Plateau during 2005–2018

2020 ◽  
Vol 20 (10) ◽  
pp. 6159-6175 ◽  
Author(s):  
Rui Li ◽  
Yilong Zhao ◽  
Wenhui Zhou ◽  
Ya Meng ◽  
Ziyu Zhang ◽  
...  
Keyword(s):  
Tibetan Plateau ◽  
Hybrid Model ◽  
Additive Model ◽  
World Health ◽  
The Tibetan Plateau ◽  
The Novel ◽  
Slow Increase ◽  
Potential Health ◽  
Generalised Additive Model ◽  
Northern Tibetan Plateau

Abstract. We developed a two-stage model called the random-forest–generalised additive model (RF–GAM), based on satellite data, meteorological factors, and other geographical covariates, to predict the surface 8 h O3 concentrations across the remote Tibetan Plateau. The 10-fold cross-validation result suggested that RF–GAM showed excellent performance, with the highest R2 value (0.76) and lowest root-mean-square error (RMSE) (14.41 µg m−3), compared with other seven machine-learning models. The predictive performance of RF–GAM showed significant seasonal discrepancy, with the highest R2 value observed in summer (0.74), followed by winter (0.69) and autumn (0.67), and the lowest one in spring (0.64). Additionally, the unlearning ground-observed O3 data collected from open-access websites were applied to test the transferring ability of the novel model and confirmed that the model was robust in predicting the surface 8 h O3 concentration during other periods (R2=0.67, RMSE = 25.68 µg m−3). RF–GAM was then used to predict the daily 8 h O3 level over the Tibetan Plateau during 2005–2018 for the first time. It was found that the estimated O3 concentration displayed a slow increase, from 64.74±8.30 µg m−3 to 66.45±8.67 µg m−3 from 2005 to 2015, whereas it decreased from the peak to 65.87±8.52 µg m−3 during 2015–2018. Besides this, the estimated 8 h O3 concentrations exhibited notable spatial variation, with the highest values in some cities of the northern Tibetan Plateau, such as Huangnan (73.48±4.53 µg m−3) and Hainan (72.24±5.34 µg m−3), followed by the cities in the central region, including Lhasa (65.99±7.24 µg m−3) and Shigatse (65.15±6.14 µg m−3), and the lowest O3 concentration occurred in a city of the southeastern Tibetan Plateau called Aba (55.17±12.77 µg m−3). Based on the 8 h O3 critical value (100 µg m−3) provided by the World Health Organization (WHO), we further estimated the annual mean nonattainment days over the Tibetan Plateau. It should be noted that most of the cities on the Tibetan Plateau had excellent air quality, while several cities (e.g. Huangnan, Haidong, and Guoluo) still suffered from more than 40 nonattainment days each year, which should be given more attention in order to alleviate local O3 pollution. The results shown herein confirm that the novel hybrid model improves the prediction accuracy and can be applied to assess the potential health risk, particularly in remote regions with few monitoring sites.

Emergence of porcine epidemic diarrhea viruses with the novel S genes in Tibetan pigs in the Qinghai-Tibetan plateau in China

2019 ◽  
Vol 270 ◽  
pp. 197652 ◽  
Author(s):  
Sinan Qin ◽  
Chengzhe Hu ◽  
Danjiao Yang ◽  
Jianping Wu ◽  
Hua Yue ◽  
...  
Keyword(s):  
Tibetan Plateau ◽  
The Novel ◽  
Tibetan Pigs ◽  
Porcine Epidemic Diarrhea ◽  
S Genes

scholarly journals Developing a novel hybrid model for the estimation of surface 8-h ozone (O<sub>3</sub>) across the remote Tibetan Plateau during 2005–2018

2020 ◽  
Author(s):  
Rui Li ◽  
Yilong Zhao ◽  
Ya Meng ◽  
Wenhui Zhou ◽  
Ziyu Zhang ◽  
...  
Keyword(s):  
Tibetan Plateau ◽  
Hybrid Model ◽  
Additive Model ◽  
Predictive Performance ◽  
World Health ◽  
The Novel ◽  
Slow Increase ◽  
Potential Health ◽  
Health Organization ◽  
First Time

Abstract. We developed a two-stage model named random forest-generalized additive model (RF-GAM) based on satellite data, meteorological factors, and other geographical covariates to predict the surface 8-h O3 concentration across the remote Tibetan Plateau. The 10-fold cross-validation result suggested that RF-GAM showed the excellent performance with the highest R2 value (0.76) and lowest root mean square error (RMSE) (14.41 μg/m3) compared with other seven machine learning models. The predictive performance of RF-GAM model showed significantly seasonal discrepency with the highest R2 value observed in summer (0.74), followed by winter (0.69) and autumn (0.67), and the lowest one in spring (0.64). Additionally, the unlearning ground-observed O3 data collected from open websites were applied to test the transferring ability of the novel model, and confirmed that the model was robust to predict the surface 8-h O3 concentration during other periods (R2 = 0.67, RMSE = 25.68 μg/m3). RF-GAM was then used to predict the daily 8-h O3 level over Tibetan Plateau during 2005–2018 for the first time. It was found that the estimated O3 concentration displayed a slow increase from 64.74 ± 8.30 μg/m3 to 66.45 ± 8.67 μg/m3 2005 through 2015, whereas it decreased from the peak to 65.87 ± 8.52 μg/m3 during 2015–2018. Besides, the estimated 8-h O3 concentrations exhibited notably spatial variation with the highest values in some cities of North Tibetan Plateau such as Huangnan (73.48 ± 4.53 μg/m3) and Hainan (72.24 ± 5.34 μg/m3), followed by the cities in the central region including Lhasa (65.99 ± 7.24 μg/m3) and Shigatse (65.15 ± 6.14 μg/m3), and the lowest one in some cities of Southeast Tibetan Plateau such as Aba (55.17 ± 12.77 μg/m3). Based on the 8-h O3 critical value (100 μg/m3) scheduled by World Health Organization (WHO), we further estimated the annually mean nonattainment days over Tibetan Plateau this period. It should be noted that most of the cities in Tibetan Plateau shared with the excellent air quality, while several cities (e.g., Huangnan, Haidong, and Guoluo) still suffered from more than 40 nonattainment days each year, which should be paid more attention to alleviate local O3 pollution. The result shown herein confirms the novel hybrid model improves the prediction accuracy and can be applied to assess the potential health risk, particularly in the remote regions with sparse monitoring sites.

scholarly journals Two Metagenome-Assembled Genomes of Hydrogen-Dependent Methanomassiliicoccales Methanogens from the Zoige Wetland of the Tibetan Plateau

2021 ◽  
Vol 10 (17) ◽  
Author(s):  
Juanli Yun ◽  
Wenbin Du
Keyword(s):  
Tibetan Plateau ◽  
Carbon Cycling ◽  
Crucial Role ◽  
Novel Species ◽  
The Tibetan Plateau ◽  
The Novel ◽  
Zoige Wetland ◽  
Global Carbon

Wetlands in the Tibetan Plateau play a crucial role in global carbon cycling. Here, we report the metagenome-assembled genomes (MAGs) of two hydrogen-dependent methanogens from the Zoige wetland of the Tibetan Plateau. The novel species belong to Methanomassiliicoccales , the seventh euryarchaeal methanogenic order.

The novel steroidal glycoside from the dried bulb of Allium Macrostemon Bunge inhibits platelet activation

2010 ◽  
Vol 34 (8) ◽  
pp. S33-S33
Author(s):  
Wenchao Ou ◽  
Haifeng Chen ◽  
Yun Zhong ◽  
Benrong Liu ◽  
Keji Chen
Keyword(s):  
Platelet Activation ◽  
The Novel ◽  
Steroidal Glycoside ◽  
Allium Macrostemon

Journalism and the Novel

2008 ◽  
Author(s):  
Doug Underwood
Keyword(s):  
The Novel
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