Zobrazeno 1 - 10
of 585
pro vyhledávání: '"flood monitoring"'
Autor:
Jiang, Jingchao a, ⁎, Feng, Xinle a, Huang, Jingzhou a, Chen, Jiaqi a, Liu, Min b, Cheng, Changxiu c, Liu, Junzhi d, Xue, Anke a
Publikováno v:
In Environmental Modelling and Software January 2025 183
Autor:
Lixiang HU
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 3, Pp 165-170 (2024)
[Objective] Flood control in urban rail transit vehicle base affects its safety and the main line operation. To effectively improve the flood control capacity of the vehicle base, it is necessary to study the key points and measures of flood control
Externí odkaz:
https://doaj.org/article/35a12571be024324be8638ae25768296
Publikováno v:
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), Vol 8, Iss 1, Pp 169-180 (2024)
This research paper introduces an innovative prototype system that uses IoT technologies to monitor floodwater levels. Integration of an ultrasonic sensor, ESP8266 microcontroller, Arduino IDE, and the ThingSpeak platform aims to establish a robust f
Externí odkaz:
https://doaj.org/article/5fa0173569824b95be0f10021946d8de
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13232-13243 (2024)
River ice monitoring plays a critical role in ice flood mitigation and control, hydrological research, and water resource regulation. The northern section of the Yellow River (NSYR) experiences the most frequent water level fluctuations due to river
Externí odkaz:
https://doaj.org/article/d25554a71a1d42cf9f0a0bec2d4ba69a
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 5, Pp n/a-n/a (2024)
Abstract Global Navigation Satellite System Interferometric Reflectometry (GNSS‐IR) using low‐cost antennas is a practical solution for monitoring water levels from rivers, lakes and seas that does not require submerging any instruments in water.
Externí odkaz:
https://doaj.org/article/b9f22bdc274147fb95fd787feddddbce
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2358 (2024)
Floods are among the most common disasters, causing loss of life and enormous damage to private property and public infrastructure. Monitoring systems that detect and predict floods help respond quickly in the pre-disaster phase to prevent and mitiga
Externí odkaz:
https://doaj.org/article/14f620a4bd0347bbb7bb7e7af275dae4
Publikováno v:
Remote Sensing, Vol 16, Iss 12, p 2179 (2024)
This study describes a method that combines synthetic aperture radar (SAR) data with shallow-water modeling to estimate flood hazards at a local level. The method uses particle filtering to integrate flood probability maps derived from SAR imagery wi
Externí odkaz:
https://doaj.org/article/7d5627406d024bc999b09105d316354b
Autor:
Ioannis-Omiros Kouloglou, Gerasimos Antzoulatos, Georgios Vosinakis, Francesca Lombardo, Alberto Abella, Marios Bakratsas, Anastasia Moumtzidou, Evangelos Maltezos, Ilias Gialampoukidis, Eleftherios Ouzounoglou, Stefanos Vrochidis, Angelos Amditis, Ioannis Kompatsiaris, Michele Ferri
Publikováno v:
Information, Vol 15, Iss 5, p 257 (2024)
The increasing rate of adoption of innovative technological achievements along with the penetration of the Next Generation Internet (NGI) technologies and Artificial Intelligence (AI) in the water sector are leading to a shift to a Water-Smart Societ
Externí odkaz:
https://doaj.org/article/d87fc86a89574f80a691d51d53420579
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 14, Iss 1 (2023)
AbstractThis study investigates the potential of freely available Sentinel-1 imagery coupled with Google Earth Engine (GEE) for mapping and monitoring flooding in Dar es Salaam. Sentinel-1 images (n = 55) available during the rainy season (March–Ma
Externí odkaz:
https://doaj.org/article/937361c85ed7410a9860169aa80dd772
Publikováno v:
Data in Brief, Vol 50, Iss , Pp 109504- (2023)
Floods are common natural disasters worldwide and pose substantial risks to life, property, food production, and natural resources. Effective measures for flood mitigation and warning are essential. Southeast Texas is still at significant risk of flo
Externí odkaz:
https://doaj.org/article/0aeb4b1def1a4012987cc1eaaf4fcd00