Zobrazeno 1 - 10
of 147
pro vyhledávání: '"Ningsheng CHEN"'
Publikováno v:
International Journal of Disaster Risk Science, Vol 15, Iss 4, Pp 622-639 (2024)
Abstract The occurrence of debris flow events in small-scale watersheds with dense vegetation in mountainous areas that result in significant loss of life and missing individuals challenges our understanding and expertise in investigating and prevent
Externí odkaz:
https://doaj.org/article/1f372ca7f9834b13960ebca9fc76318a
Publikováno v:
Zhongguo dizhi zaihai yu fangzhi xuebao, Vol 35, Iss 3, Pp 129-140 (2024)
The Yili Valley, located on the border between China and Kazakhstan, serves as the juncture of North and South Xinjiang, and stands as a pivotal outpost on the Silk Road Economic Belt. This area possesses a fragile ecological environment and experien
Externí odkaz:
https://doaj.org/article/78f5b65ecc49455a89943e56cb0563e3
Publikováno v:
Journal of Hydroinformatics, Vol 25, Iss 6, Pp 2235-2252 (2023)
The computational prediction of wave propagation in dam-break floods is a long-standing problem in hydrodynamics and hydrology. We show that a reservoir computing echo state network (RC-ESN) that is well-trained on a minimal amount of data can accura
Externí odkaz:
https://doaj.org/article/cdf79defd4744fecbb970544c377f118
Autor:
Shufeng Tian, Guisheng Hu, Ningsheng Chen, Mahfuzur Rahman, Huayong Ni, Marcelo Somos-Valenzuela
Publikováno v:
International Journal of Disaster Risk Science, Vol 14, Iss 4, Pp 600-617 (2023)
Abstract Unlike strong earthquake-triggered or heavy rainfall-triggered landslides, silent large-scale landslides (SLL) occur without significant triggering factors and cause unexpected significant disaster risks and mass casualties. Understanding th
Externí odkaz:
https://doaj.org/article/3510c86d87ef4825934e439b1d3561ed
Autor:
Yange Li, Jiaming Yang, Zheng Han, Jiaying Li, Weidong Wang, Ningsheng Chen, Guisheng Hu, Jianling Huang
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 14, Iss 1 (2023)
AbstractThe improvement of the landslide susceptibility mapping (LSM) is a long-standing problem, as it provides basics for hazard mitigation. Recently, hybrid ensemble deep learning (DL) techniques have witnessed the potential for this purpose. In t
Externí odkaz:
https://doaj.org/article/1815e009f6c64e03b660481e7246ac98
Publikováno v:
Remote Sensing, Vol 16, Iss 9, p 1547 (2024)
Low-frequency debris flows often lead to severe disasters due to large energy releases and strong concealment. However, the understanding of formation conditions, movement processes, and disaster-causing mechanisms of low-frequency debris flow is sti
Externí odkaz:
https://doaj.org/article/f7a7ce20e7ea4bb1bffdc7e0441ea387
Publikováno v:
Remote Sensing, Vol 15, Iss 24, p 5681 (2023)
The Tien Shan Mountain range connects Central Asia with northwestern China and is a crucial transport junction between East and West Asia. It is a common location for regional debris flows, which pose a significant risk to ecological security and the
Externí odkaz:
https://doaj.org/article/15cad2008a9e45569a03d79808559214
Publikováno v:
Energy Exploration & Exploitation, Vol 41 (2023)
Accurate prediction of spatial distribution of petroleum resources is important for petroleum exploration. Mahalanobis distance is a popular and effective method to predict the spatial distribution of oil and gas. However, this method has equal weigh
Externí odkaz:
https://doaj.org/article/640278e31cf94afd98c7533cc95a7efe
Autor:
Mahfuzur Rahman, Md. Monirul Islam, Hyeong-Joo Kim, Shamsher Sadiq, Mehtab Alam, Taslima Siddiqua, Md. Al Mamun, Md. Ashiq Hossen Gazi, Matiur Rahman Raju, Ningsheng Chen, Md. Alamgir Hossain, Ashraf Dewan
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 12, Iss 10, p 401 (2023)
Dhaka city is experiencing rapid land cover changes, and the effects of climate change are highly visible. Investigating their combined influence on runoff patterns is vital for sustainable urban planning and water resources management. In this work,
Externí odkaz:
https://doaj.org/article/509bd66f57054dd1a7dacf97014e3a53
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 13, Iss 1, Pp 19-34 (2022)
A catastrophic debris flow occurred in the Zengda gully, a branch of the Dajinchuan River in Zengda town, Jinchuan County, Sichuan Province, China. The successful implementation of a real-time evacuation avoided 820 casualties for people living in 20
Externí odkaz:
https://doaj.org/article/06a2be8ba30f497eae30a9c2ce3fb983