{"title":"For Flood Forecasting Issues","authors":"E. Kechkhoshvili, Irina Khutsishvili","doi":"10.36073/1512-0996-2024-2-265-272","DOIUrl":null,"url":null,"abstract":". Global climate change has caused sharp increasing of natural calamities, including floods. In the course of recent period, over the entire world, every year there are occurring tens of cases of disastrous floods and waterflows characterized by damages worth of several millions and human losses. The issue of forecasting waterflows and floods, in general, is discussed in the article. There are given basic differentiating features-characteristics existing between spring floods and rain-caused waterflows. The methodology of forecasting related decision-making based on the Statistical Fuzzy Analysis is developed at Ivane Javakhishvili Tbilisi State University, which methodology can be used for flood forecasting. The methodology consists of two stages. At the first stage one and the same prognostic event is assessed using three methods, which allow to make independent forecast. At the second stage, according to the mentioned forecast, the final decision is made. The factors suggested for application of this methodology for flood forecasting are directly related to the climatic parameters of the territory and the state of a river bed and lower terrace. The basic goal of the methodology suggested for flood forecasting is timely reporting on an anticipated disaster.","PeriodicalId":23911,"journal":{"name":"Works of Georgian Technical University","volume":" 412","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Works of Georgian Technical University","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36073/1512-0996-2024-2-265-272","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
. Global climate change has caused sharp increasing of natural calamities, including floods. In the course of recent period, over the entire world, every year there are occurring tens of cases of disastrous floods and waterflows characterized by damages worth of several millions and human losses. The issue of forecasting waterflows and floods, in general, is discussed in the article. There are given basic differentiating features-characteristics existing between spring floods and rain-caused waterflows. The methodology of forecasting related decision-making based on the Statistical Fuzzy Analysis is developed at Ivane Javakhishvili Tbilisi State University, which methodology can be used for flood forecasting. The methodology consists of two stages. At the first stage one and the same prognostic event is assessed using three methods, which allow to make independent forecast. At the second stage, according to the mentioned forecast, the final decision is made. The factors suggested for application of this methodology for flood forecasting are directly related to the climatic parameters of the territory and the state of a river bed and lower terrace. The basic goal of the methodology suggested for flood forecasting is timely reporting on an anticipated disaster.
.全球气候变化导致包括洪水在内的自然灾害急剧增加。近来,全世界每年都会发生数十起灾难性洪水和水流,造成数百万人死亡和财产损失。文章从总体上讨论了水流和洪水的预报问题。文章给出了春季洪水和雨水造成的水流之间存在的基本区别特征。第比利斯国立大学伊万-贾瓦希什维利(Ivane Javakhishvili Tbilisi State University)根据统计模糊分析法制定了相关决策预报方法,该方法可用于洪水预报。该方法包括两个阶段。在第一阶段,使用三种方法对同一预报事件进行评估,从而进行独立预报。在第二阶段,根据上述预测做出最终决定。建议应用该方法进行洪水预报的因素与当地的气候参数以及河床和下游阶地的状况直接相关。所建议的洪水预报方法的基本目标是及时报告预期灾害。