Researchers highlight flood dynamics in the catchment of Kumalak River of China in the Tianshan region

A recent study Published In NPJ Climate and Atmospheric Sciences The Kumalak River’s catchment has highlighted the factors affecting the floods in the catchment of China.

Proof of Shinjiang Institute of Ecology and Geography of the Chinese Academy of Sciences. The study led by chain yanning provides new insight into the complex interaction of this Alpine, the glacier area flooded in the glacier region.

The Kumalak River, located in the Tianshan mountain, has long been known for its complex flood pattern, affected by glacier melts, snowmelt and rainfall. However, the mechanisms behind these events are poorly understood, especially climate change continues to affect the region.

To examine the contribution relative to these factors, the researchers employed soil and water evaluation tools (SWAT) -Glassier model and a degree -day factor model. He also introduced two long-term short-term memory (LSTM) models, LSTM-SG and LSTM-DDF to increase their analysis.

Using advanced techniques such as adorable decomposition and integrated gradients, the team explained the results to better understand the dynamics of the flood.

The study found that glacier meltwater is the leading driver of annual maximum flood (AMF) events, contributing between 60.49% of the total runoff and 60.92%. Following rainfall and snowmelt, contributed from 26.86% to 29.50% and 10.01% to 12.21% respectively.

In contrast, for the incidence of the spring maximum flood (AMFSP), the snomelt plays a more important role, the total to 48.49% to 56.08% accounting, with glacier melts and rainfall 16.12% to 22.08% and 27.79% to 29.42 respectively with rainfall and rainfall to 29.42 % Contributes.

He found that glacier meltwater is the leading driver of the annual maximum flood (AMF) incidents, while Snomemelt Spring greatly affects the maximum flood (AMFSP) events. From 1960 to 2018, Glacier Maltwater calculated from 60.49% to 60.92% to 60.92% of AMF incidents, followed by 26.86% to 29.50% and Snomemelt 10.01% to 12.21%.

For AMFSP events between 1961 and 2018, snowmelt emerged as a major factor, contributed to 48.49% to 56.08%, with glacier meltwater and rainfall 16.12% to 22.08% and 27.79% to 29.42% respectively.

Prior to the study, author Leiang Wane said, “Lectureful education can serve as a supplementary tool, providing valuable approach on the analysis of the flood formation mechanism.”

This study provides significant insights that can significantly increase flood prediction models and improve the management of water resources in glacier catchments, especially between challenges generated by climate change.