Distribution characteristics and diversities of cbb and coxL genes in paddy soil profiles from southern China

Pedosphere ◽  
2021 ◽  
Vol 31 (6) ◽  
pp. 954-963
Author(s):  
Wentao PENG ◽  
Yan WANG ◽  
Xiuxiu ZHU ◽  
Liufeng XU ◽  
Juan ZHAO ◽  
...  
Keyword(s):  
Paddy Soil ◽  
Southern China ◽  
Soil Profiles ◽  
Distribution Characteristics

Alkaline hydrolyzable nitrogen and properties that dictate its distribution in paddy soil profiles

Pedosphere ◽  
2020 ◽  
Vol 30 (3) ◽  
pp. 326-335 ◽  
Author(s):  
Gerson Laerson DRESCHER ◽  
Leandro Souza DA SILVA ◽  
Qamar SARFARAZ ◽  
Gustavo DAL MOLIN ◽  
Laura Brondani MARZARI ◽  
...  
Keyword(s):  
Paddy Soil ◽  
Soil Profiles ◽  
Hydrolyzable Nitrogen

scholarly journals Distribution characteristics of cow’s milk-sIgE components in children with respiratory allergic diseases in southern China

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Huimin Huang ◽  
Wenting Luo ◽  
Nili Wei ◽  
Xueqing Liang ◽  
Peiyan Zheng ◽  
...  
Keyword(s):  
Southern China ◽  
Allergic Diseases ◽  
Cow’S Milk ◽  
Distribution Characteristics ◽  
Cow's Milk

scholarly journals Probabilistic En Route Sector Traffic Demand Prediction Based upon Statistical Analysis of Error Distribution Characteristics

2018 ◽  
Vol 2018 ◽  
pp. 1-13
Author(s):  
Wen Tian ◽  
Huiqing Xu ◽  
Yixing Guo ◽  
Bin Hu ◽  
Yi Yao
Keyword(s):  
Traffic Congestion ◽  
Southern China ◽  
Probabilistic Method ◽  
Prediction Method ◽  
Weather Conditions ◽  
Error Distribution ◽  
Time Interval ◽  
Distribution Characteristics ◽  
Traffic Demand ◽  
Demand Prediction

In China, air traffic congestion has become increasingly prominent and tends to spread from terminal areas to en route networks. Accurate and objective traffic demand prediction could alleviate congestion effectively. However, the usual demand prediction is based on conjecture method of flying track, and the number of aircraft flying over a sector in a set time interval could be inferred through the location information of any aircraft track. In this paper, we proposed a probabilistic traffic demand prediction method by considering the deviations caused by random events, such as the change of departure or arrival time, the temporary change in route or altitude under severe weather conditions, and unscheduled cancellation for a flight. The probabilistic method quantifies these uncertain factors and presents numerical value with its corresponding probability instead of the deterministic number of aircraft in a sector during a time interval. The analysis results indicate that the probabilistic traffic demand prediction based on error distribution characteristics achieves an effective match with the realistic operation in airspace of central and southern China, which contributes to enhancing the implementation of airspace congestion risk management.

Carbon sequestration efficiency in paddy soil and upland soil under long-term fertilization in southern China

2013 ◽  
Vol 130 ◽  
pp. 42-51 ◽  
Author(s):  
X. Yan ◽  
H. Zhou ◽  
Q.H. Zhu ◽  
X.F. Wang ◽  
Y.Z. Zhang ◽  
...  
Keyword(s):  
Carbon Sequestration ◽  
Paddy Soil ◽  
Southern China ◽  
Upland Soil
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