Enhancing flood prediction in Southern West Bengal, India using ensemble machine learning models optimized with symbiotic organisms search algorithm DOI
Gilbert Hinge, Swati Sirsant, Amandeep Kumar

и другие.

Stochastic Environmental Research and Risk Assessment, Год журнала: 2024, Номер unknown

Опубликована: Март 22, 2024

Язык: Английский

Unveiling flood vulnerability in the Vietnamese Mekong Delta: A case study of an Giang province DOI

Can Thu Van,

Hoàng Thị Thanh Thủy,

Can The Viet

и другие.

International Journal of Disaster Risk Reduction, Год журнала: 2024, Номер 106, С. 104429 - 104429

Опубликована: Апрель 1, 2024

Язык: Английский

Процитировано

2

The Problem of Effective Evacuation of the Population from Floodplains under Threat of Flooding: Algorithmic and Software Support with Shortage of Resources DOI Creative Commons

Oksana Yu. Vatyukova,

Anna Klikunova, Anna A. Vasilchenko

и другие.

Computation, Год журнала: 2023, Номер 11(8), С. 150 - 150

Опубликована: Авг. 1, 2023

Extreme flooding of the floodplains large lowland rivers poses a danger to population due vastness flooded areas. This requires organization safe evacuation in conditions shortage temporary and transport resources significant differences moments different spatial parts. We consider case vehicles, which entire permanent points is impossible. Therefore, divided into two stages with on routes. Our goal develop method for analyzing minimum resource requirement floodplain territories based mathematical model flood dynamics minimizing number vehicles set schedules. The core approach numerical hydrodynamic shallow water approximation. Modeling hydrological regime real body multi-layer geoinformation territory layers relief, channel structure, social infrastructure. High-performance computing performed GPUs using CUDA. optimization problem variant investment scheduling theory deadlines completing work solved basis heuristic algorithm. use results simulation floods Northern part Volga-Akhtuba plot dependence that ensure population. depend discharge Volga river, start evacuation, localization points. developed algorithm constructs schedules allowable various scenarios. constructed can be used practice vast river valleys.

Язык: Английский

Процитировано

6

Dynamic and loss analysis of flood inundation in the floodplain area of the lower Yellow River considering ecological impact DOI Creative Commons
Jie Chen

Journal of Engineering and Applied Science, Год журнала: 2023, Номер 70(1)

Опубликована: Апрель 17, 2023

Abstract The floodplain area in the lower Yellow River plays function of flood detention and undertakes production living functions residents. Because basin is one most serious flooding areas China, seriously threatens safety people’s lives property social stability development area. It significant to carry out inundation dynamic analysis loss assessment River. Taking zonal Jiahetan-Gaocun section as an example, a two-dimensional flow mathematical model established by using MIKE 21. Through numerical simulation routing during operation, effect analysed, evaluation are carried out. results show that maximum absolute error water level calculated measuring station only 0.77 m. So, it reliable use 21 simulate process diversion with peak discharge 4000 m 3 /s 7000 basically reaches submerged after 100 h, 173.72 km 2 323.47 , respectively. Autumn grain, main source income for residents, severely lost shallow depth, so they both floods. Therefore, when opening storage area, important consider their loss. can provide scientific basis rational utilization

Язык: Английский

Процитировано

5

Water conservation appraisal using surface runoff estimated by an integrated SCS-CN and MCDA-AHP technique DOI
Shreeya Baghel,

Mahesh Kothari,

Manoj Tripathi

и другие.

Journal of Earth System Science, Год журнала: 2023, Номер 132(3)

Опубликована: Июль 31, 2023

Язык: Английский

Процитировано

4

Enhancing flood prediction in Southern West Bengal, India using ensemble machine learning models optimized with symbiotic organisms search algorithm DOI
Gilbert Hinge, Swati Sirsant, Amandeep Kumar

и другие.

Stochastic Environmental Research and Risk Assessment, Год журнала: 2024, Номер unknown

Опубликована: Март 22, 2024

Язык: Английский

Процитировано

1