Development of sensor systems for floodwater monitoring and alerting

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dc.contributor.authorAdilbek Sarsenov
dc.contributor.authorLyazzat Ilipbayeva
dc.contributor.authorUlzhalgas Seidaliyeva
dc.date.accessioned2025-10-17T07:14:14Z
dc.date.available2025-10-17T07:14:14Z
dc.date.issued2025
dc.description.abstractThis study addresses the systematic prediction of river water levels in Kazakhstan via hy-drological computations, which are essential for forecasting water-related events and formulatingplans for sustainable water resource management. Particular focus is placed on the significance ofprompt and efficient monitoring of river dynamics to alleviate natural disasters such as floods andmudflows, especially in high-risk places like Almaty, situated in geologically unstable mountainouslandscapes. The research focuses the potential of intelligent sensor-based monitoring systems thatcan gather real-time data on water levels, precipitation, soil moisture, and various environmentalconditions. Systems integrated with artificial intelligence and data analysis can substantiallyaugment decision-making processes, facilitate early warning mechanisms, and boost the precisionof forecasts. This method ultimately protects natural ecosystems and local communities from thedetrimental effects of hydrological hazards
dc.identifier.citationAdilbek Sarsenov, Lyazzat Ilipbayeva, Ulzhalgas Seidaliyeva / Development of sensor systems for floodwater monitoring and alerting / Journal of Emerging Technologies and Computing (JETC), Vol. 2 No. 2 / SDU University / 2025
dc.identifier.urihttps://repository.sdu.edu.kz/handle/123456789/2074
dc.language.isoen
dc.publisherSDU University
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subjectfloods
dc.subjectwater level prediction
dc.subjectaffordable innovative sensors
dc.subjectdevices
dc.subjectwater level observation
dc.subjectwarnings
dc.titleDevelopment of sensor systems for floodwater monitoring and alerting
dc.typeArticle

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