scholarly journals Distribution characteristics of nitrogen and the related microbial community in the surface sediments of the Songhua River

RSC Advances ◽  
2021 ◽  
Vol 11 (43) ◽  
pp. 26721-26731
Author(s):  
Congyu Li ◽  
Zhen Zhong ◽  
Wenfu Wang ◽  
Haiyan Wang ◽  
Guokai Yan ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Microbial Community ◽  
Surface Sediments ◽  
River Sediments ◽  
Distribution Characteristics ◽  
Temporal And Spatial Distribution ◽  
Songhua River ◽  
Temporal And Spatial ◽  
The Relationship ◽  
The Songhua River

In this study, temporal and spatial distribution of nitrogen in the Songhua River sediments and distribution characteristics of related microbes as well as the relationship between them were investigated.

scholarly journals Temporal and Spatial Evolution Features of Precipitable Water in China during a Recent 65-Year Period (1951–2015)

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Hao Wang ◽  
Jianxin He
Keyword(s):  
Spatial Distribution ◽  
Water Vapor ◽  
Transition Period ◽  
Precipitable Water ◽  
Distribution Characteristics ◽  
Temporal And Spatial Distribution ◽  
Spatial Distribution Characteristics ◽  
Distribution Features ◽  
Temporal And Spatial ◽  
The Relationship

Water vapor in the atmosphere is not only an important greenhouse gas, but also an important factor that significantly affects the variations of global climate and water circulation. This study utilized the National Centers for Environmental Prediction (NCEP) and Climate Prediction Center Merged Analysis of Precipitation (CMAP) reanalysis data to probe the temporal and spatial distribution features of atmospheric precipitable water (PW) in China during a recent 65-year period (1951–2015), and the relationship between PW and actual precipitation was also studied. The temporal and spatial distribution characteristics of PW in China presented an overall decreasing spatial trend from the southeast to northwest direction. The spatial distribution pattern of the first eigenvector demonstrated that the PW in China shows nationwide variation features with a varying amount of PW across different regions. The year 1967 was further identified as an important transition period for the temporal and spatial distribution characteristics of the PW. We also found that the PW had inherent variability of around 30 years. Regarding the relationship with precipitation, PW was most closely correlated with precipitation in the northeastern region and the upper northwestern region in China. Different regions displayed different efficiencies for converting PW to precipitation. The conclusions are useful for understanding the long-term water vapor evolution and its potential effects on precipitation in China.

scholarly journals Temporal and Spatial Distribution of the Microbial Community of Winogradsky Columns

PLoS ONE ◽  
2015 ◽  
Vol 10 (8) ◽  
pp. e0134588 ◽  
Author(s):  
David J Esteban ◽  
Bledi Hysa ◽  
Casey Bartow-McKenney
Keyword(s):  
Spatial Distribution ◽  
Microbial Community ◽  
Temporal And Spatial Distribution ◽  
Temporal And Spatial

scholarly journals Application of Morishita Spread Index to temporal and spatial distribution characteristics of landslides in Shanxi and Gansu provinces of China

2000 ◽  
Vol 21 ◽  
Author(s):  
Luo Wenqiang ◽  
Zhang Zhuoyuan ◽  
Huang Runqiu
Keyword(s):  
Spatial Distribution ◽  
High Frequency ◽  
Temporal Distribution ◽  
The Other ◽  
Distribution Characteristics ◽  
Temporal And Spatial Distribution ◽  
Landslide Occurrence ◽  
Cluster Distribution ◽  
Spatial Distribution Characteristics ◽  
Temporal And Spatial

Morshita Spread Index Iδ was applied for the study of temporal and spatial distribution characteristics of landslides in the Shanxi and Gansu provinces of China. For this purpose, the landslides larger than 105 m3 in volume were considered. In the study area, the spatial distribution of Morishita Spread Index Iδ (l) isgreater than 1 and decreases with increasing mesh scale. Such a trend indicates cluster distribution of landslides. On the other hand, the temporal distribution of Morishita Spread Index Iδ (t) for the above landslides showed a maximum and a minimum, corresponding to the years with high frequency of landslide occurrence.

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