A complex network approach to study the extreme precipitation patterns in a river basin

2022 ◽  
Vol 32 (1) ◽  
pp. 013113
Author(s):  
Ankit Agarwal ◽  
Ravi Kumar Guntu ◽  
Abhirup Banerjee ◽  
Mayuri Ashokrao Gadhawe ◽  
Norbert Marwan
Keyword(s):  
Complex Network ◽  
River Basin ◽  
Extreme Precipitation ◽  
Network Approach ◽  
Precipitation Patterns

scholarly journals A complex network approach to study the extreme precipitation patterns in a river basin

2021 ◽  
Author(s):  
Mayuri Gadhawe ◽  
Ravi Guntu ◽  
Abhirup Banerjee ◽  
Norbert Marwan ◽  
Ankit Agarwal
Keyword(s):  
Complex Network ◽  
River Basin ◽  
Extreme Precipitation ◽  
Network Approach ◽  
Precipitation Patterns

A complex network approach to study the extreme precipitation patterns in a river basin

2021 ◽  
Author(s):  
Mayuri Gadhawe ◽  
Ravi Guntu ◽  
Abhirup Banerjee ◽  
Norbert Marwan ◽  
Ankit Agarwal
Keyword(s):  
Complex Network ◽  
River Basin ◽  
Extreme Precipitation ◽  
Network Approach ◽  
Precipitation Patterns

scholarly journals Complex network approach for detecting tropical cyclones

2021 ◽  
Author(s):  
Shraddha Gupta ◽  
Niklas Boers ◽  
Florian Pappenberger ◽  
Jürgen Kurths
Keyword(s):  
Sea Level ◽  
Tropical Cyclones ◽  
Complex Network ◽  
Time Scales ◽  
Southern Oscillation ◽  
Volcanic Eruptions ◽  
Network Approach ◽  
Sea Level Pressure ◽  
Level Pressure ◽  
Climate Networks

AbstractTropical cyclones (TCs) are one of the most destructive natural hazards that pose a serious threat to society, particularly to those in the coastal regions. In this work, we study the temporal evolution of the regional weather conditions in relation to the occurrence of TCs using climate networks. Climate networks encode the interactions among climate variables at different locations on the Earth’s surface, and in particular, time-evolving climate networks have been successfully applied to study different climate phenomena at comparably long time scales, such as the El Niño Southern Oscillation, different monsoon systems, or the climatic impacts of volcanic eruptions. Here, we develop and apply a complex network approach suitable for the investigation of the relatively short-lived TCs. We show that our proposed methodology has the potential to identify TCs and their tracks from mean sea level pressure (MSLP) data. We use the ERA5 reanalysis MSLP data to construct successive networks of overlapping, short-length time windows for the regions under consideration, where we focus on the north Indian Ocean and the tropical north Atlantic Ocean. We compare the spatial features of various topological properties of the network, and the spatial scales involved, in the absence and presence of a cyclone. We find that network measures such as degree and clustering exhibit significant signatures of TCs and have striking similarities with their tracks. The study of the network topology over time scales relevant to TCs allows us to obtain crucial insights into the effects of TCs on the spatial connectivity structure of sea-level pressure fields.

scholarly journals Insights on the Impacts of Hydroclimatic Extremes and Anthropogenic Activities on Sediment Yield of a River Basin

Earth ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 32-50
Author(s):  
Rocky Talchabhadel ◽  
Jeeban Panthi ◽  
Sanjib Sharma ◽  
Ganesh R. Ghimire ◽  
Rupesh Baniya ◽  
...  
Keyword(s):  
Suspended Sediment ◽  
River Basin ◽  
Extreme Precipitation ◽  
Suspended Sediment Concentration ◽  
Anthropogenic Activities ◽  
Sediment Concentration ◽  
Sediment Flux ◽  
Mountain River ◽  
Ecological Processes ◽  
Precipitation Indices

Streamflow and sediment flux variations in a mountain river basin directly affect the downstream biodiversity and ecological processes. Precipitation is expected to be one of the main drivers of these variations in the Himalayas. However, such relations have not been explored for the mountain river basin, Nepal. This paper explores the variation in streamflow and sediment flux from 2006 to 2019 in central Nepal’s Kali Gandaki River basin and correlates them to precipitation indices computed from 77 stations across the basin. Nine precipitation indices and four other ratio-based indices are used for comparison. Percentage contributions of maximum 1-day, consecutive 3-day, 5-day and 7-day precipitation to the annual precipitation provide information on the severity of precipitation extremeness. We found that maximum suspended sediment concentration had a significant positive correlation with the maximum consecutive 3-day precipitation. In contrast, average suspended sediment concentration had significant positive correlations with all ratio-based precipitation indices. The existing sediment erosion trend, driven by the amount, intensity, and frequency of extreme precipitation, demands urgency in sediment source management on the Nepal Himalaya’s mountain slopes. The increment in extreme sediment transports partially resulted from anthropogenic interventions, especially landslides triggered by poorly-constructed roads, and the changing nature of extreme precipitation driven by climate variability.

Municipal waste management: A complex network approach with an application to Italy

2021 ◽  
Vol 126 ◽  
pp. 597-607
Author(s):  
Roy Cerqueti ◽  
Matteo Cinelli ◽  
Leo Fulvio Minervini
Keyword(s):  
Waste Management ◽  
Complex Network ◽  
Municipal Waste ◽  
Network Approach ◽  
Municipal Waste Management

Deciphering functional biomolecule potential of marine diatoms through complex network approach

2021 ◽  
pp. 125927
Author(s):  
Thomas Kiran Marella ◽  
Hina Bansal ◽  
Raya Bhattacharjya ◽  
Himanshu ◽  
Nitesh Parmar ◽  
...  
Keyword(s):  
Complex Network ◽  
Network Approach ◽  
Marine Diatoms

Modeling and analysis of cascading failures in projects: A complex network approach

2019 ◽  
Vol 127 ◽  
pp. 1-7 ◽  
Author(s):  
Ning Guo ◽  
Peng Guo ◽  
Haiyong Dong ◽  
Jing Zhao ◽  
Qingye Han
Keyword(s):  
Complex Network ◽  
Cascading Failures ◽  
Network Approach ◽  
Modeling And Analysis
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