Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Worawit Suppawimut"'
Publikováno v:
Results in Engineering, Vol 22, Iss , Pp 101994- (2024)
Groundwater potential investigation is one of the most significant and crucial aspects in arid and semi-arid regions like Marathwada. Marathwada is often susceptible to water scarcity and drought due to monsoon variability. Therefore, it is indispens
Externí odkaz:
https://doaj.org/article/cd3b632886d64265b6f3047033b88c1c
Publikováno v:
Heliyon, Vol 9, Iss 9, Pp e19690- (2023)
The effectiveness of annual peak discharges under the anthropogenic impact and climate change has significance for disaster management and planning. Therefore, an attempt has been made to study the trend of annual maximum series (AMS) discharges and
Externí odkaz:
https://doaj.org/article/fca2d51f20054aff97be5b7e3ff5bdd9
Autor:
Worawit Suppawimut
Publikováno v:
Environment and Natural Resources Journal, Vol 19, Iss 6, Pp 481-493 (2021)
Floods are one of the most devastating natural hazards, causing deaths, economic losses, and destruction of property. Flood susceptibility maps are an essential tool for flood mitigation and preparedness planning. This study mapped flood susceptibili
Externí odkaz:
https://doaj.org/article/845abf834de244c7ac5ca0500d8993b0
Publikováno v:
Water, Vol 14, Iss 22, p 3771 (2022)
The Upper Krishna Basin in Maharashtra (India) is highly vulnerable to floods. This study aimed to generate a flood susceptibility map for the basin using Frequency Ratio and Statistical Index models of flood analysis. The flood hazard inventory map
Externí odkaz:
https://doaj.org/article/04d1305aa4f94a53b8b51cf2422f58da
Autor:
Worawit Suppawimut
Publikováno v:
The Journal of Applied Science. 20:134-156
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90dce80ab53b334d38d8c6d6eb472bdd
https://doi.org/10.14416/j.appsci.2021.02.011
https://doi.org/10.14416/j.appsci.2021.02.011
Autor:
Worawit Suppawimut
Publikováno v:
International Journal of Geoinformatics.
The COVID-19 pandemic prompted a search for a new method of preventing the spread of this virus. This study established a model of the areas in Bangkok which were vulnerable to the COVID-19 pandemic by using a combination of the Bayesian network (BN)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cb776f2c15fd5217280f0769cc50db1
https://doi.org/10.52939/ijg.v18i5.2373
https://doi.org/10.52939/ijg.v18i5.2373
Publikováno v:
Water; Volume 14; Issue 22; Pages: 3771
The Upper Krishna Basin in Maharashtra (India) is highly vulnerable to floods. This study aimed to generate a flood susceptibility map for the basin using Frequency Ratio and Statistical Index models of flood analysis. The flood hazard inventory map
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8b547890c63e9827d10a5f80fea2300
https://doi.org/10.3390/w14223771
https://doi.org/10.3390/w14223771