scholarly journals Comparison of recent rainfall trend in complex hilly terrain of sub-temperate region of Uttarakhand

MAUSAM ◽  
2021 ◽  
Vol 72 (2) ◽  
pp. 349-358
Author(s):  
UTKARSH KUMAR ◽  
SURESH CHANDRA PANDAY ◽  
JITENDRA KUMAR ◽  
VIJAY SINGH MEENA ◽  
MANOJ PARIHAR ◽  
...  
Keyword(s):  
Rainfall Trend ◽  
Hilly Terrain ◽  
Temperate Region

scholarly journals Hydrographic and erosional dissection pattern as an indicator of landform type of the Malozemelskaya and Bolshezemelskaya Tundra

2020 ◽  
Vol 163 ◽  
pp. 04003
Author(s):  
Sergey Kharchenko ◽  
Yury Belyaev
Keyword(s):  
Spectral Characteristics ◽  
European Part ◽  
Hilly Terrain ◽  
The North ◽  
European Part Of Russia

The paper describes the methodology and presents the results of the calculation of the spectral characteristics of the terrain for the territory of the Bolshezemelskaya and Malozemelskaya Tundra (the north of the European part of Russia). There are nine terrain clusters, differing in the topographic dissection pattern. Their geomorphological interpretation is given. Three clusters characterize mountainous and coarsely hilly terrain with the depth of dissection from 150 m and more. The others are low and elevated terrains with much lower depths of dissection (up to 50 m) and different patterns of interposition of landforms.

Native, exotic, and livestock prey: assessment of puma Puma concolor diet in South American temperate region

2021 ◽  
Author(s):  
M. M. Guerisoli ◽  
O. Gallo ◽  
S. Martinez ◽  
E. M. Luengos Vidal ◽  
M. Lucherini
Keyword(s):  
Puma Concolor ◽  
South American ◽  
Temperate Region

scholarly journals Kecenderungan dan Perubahan Hujan Ekstrem Harian di Pulau Madura

2020 ◽  
Vol 18 (1) ◽  
pp. 89-96
Author(s):  
Ahmad Nur Akma Juangga Fura ◽  
Retno Utami Agung Wiyono ◽  
Indarto Indarto
Keyword(s):  
Flood Hazard ◽  
Parametric Method ◽  
Extreme Rainfall ◽  
Kendall Test ◽  
Random Processes ◽  
Rain Gauge ◽  
Rainfall Trend ◽  
Significance Level ◽  
High Level ◽  
Crossing Test

Madura subject to a high level of flood hazard. One of the main causes of flood is extreme rainfall. Global warming generates changes in the amount of extreme rainfall. This research is conducted to identify and to analyze the trends, changes, and randomness of 24-hour extreme rainfall data on Madura Island. The method used is a non-parametric method which includes the Median Crossing test, the Mann-Kendall test, and the Rank-Sum test at the significance level of α =0.05. The analysis was carried out on 31 rain gauge stations. The recording period observed is between 1991-2015. The results of the analysis show that based on the Median Crossing test, most rainfall stations have data originating from random processes. The result shows also that the maximum 24-hour extreme rainfall trend is significantly decreased in a few locations, while for the majority of other stations have no experience a significant trend.

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