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In the conditions of global climate change, when the distribution of precipitation is constantly changing, and the intensity with which it occurs, increasingly affects the flow of water into rivers. Watercourses, if not arranged and left to nature, affect human settlements through the destructive effect of water. Floods can lead to human and animal losses, make people sick and leave residents homeless. They can also affect the environment, infrastructure and property. Under these conditions, it is necessary to carry out flood defence works and they will be done only after an analysis of the risk of occurrence and the importance of the defended objectives. In this paper, the Mures hydrographic basin, Săvîrșin sector is analyzed, the evolution of precipitation, flow and water level in 2021-2022 is monitored. It was noted that the highest amounts of precipitation fell in 2022, of 173 mm, and the lowest of 22.1 mm in October 2021. The maximum flow rate was in May 2021, of 576 m³/s, and the minimum of 36 m³/s in October of the same year. The maximum water level was recorded was in May (277) and the minimum was recorded in October -22, both values in 2021. However, there were no flood problems in the Săvîrșin sector during the analyzed period. [ABSTRACT FROM AUTHOR]

The subject of the research paper is the use of remote sensing in monitoring and analyzing the impact of climate change on the occurrence of extreme precipitation, and the causeand-effect occurrence of floods in the area of the Sana River Basin in Bosnia and Herzegovina. The goal is to process the "product" of remote sensing to identify the time intervals of occurrence of extreme precipitation, to assess their impact on water levels, and to map potential floods in space. Spatial identification of zones that are at risk of flooding is an integral part of the aforementioned goal. Precipitation monitoring was performed by processing Climate Hazards Group InfraRed Precipitation with Station Data through the Google Earth Engine platform. The observed 30-year period (1992-2022) was compared with the average precipitation for 2017, 2018 and 2019. The impact of extreme precipitation on the water level of the Sana River was analyzed. Flooding periods have been identified: February and December 2017, March 2018 and May 2019. Mapping of flooded areas was carried out by pre-processing and post-processing of Sentinel-1 radar satellite images. The total flooded area is: 710.38 ha (February 2017), 496.79 ha (December 2017), 417.86 ha (March 2018) and 422.42 ha (May 2019). Based on the identified flooded areas, a flood risk map was created on the main course of the Sana River. The research contributes to a better understanding of the changes that occur in the area under the influence of climate change, and the data presented are important for numerous practical issues in the field of water resource management and flood protection. [ABSTRACT FROM AUTHOR]

Flash flood is one of the extremely destructive natural disasters in the world. In recent years, extreme rainfall events caused by global climate change have increased, and flash flood disasters are becoming the main types of natural disasters in the world. Due to the characteristics of strong suddenness, complex disaster-causing factors, great difficulty in prediction and forecast, and the lack of historical data, it is difficult to effectively prevent and control flash flood disaster. The early identification technology of flash floods is not only the basis of flash flood disaster prediction and early warning, but also an effective means of flash flood prevention and control. The paper makes a meta-analysis and visual analysis of 475 documents collected by the Web of Science Document Platform in the past 31 years by comprehensively using Citespace, Vosviewer, Origin, etc. We systematically summarize the research progress and development trend of early identification technology of flash flood disasters from five key research subfields: (1) precipitation, (2) sediment, (3) sensitivity analysis, (4) risk assessment, (5) uncertainty analysis. In addition, we analyze and discuss the main problems encountered in the current research of several subfields and put forward some suggestions to provide references for the prevention and control of flash flood disasters. [ABSTRACT FROM AUTHOR]