Poly(vinyl butyral)/nano-silver as a multifunctional coating for textile

This research considers a possibility to enhance the mechanical and spectrophotometric properties of a military camouflage cotton textile by applying a nano silver/poly(vinyl butyral), PVB, impregnation. Silver is known for its unique optical, electrical, thermal properties and antimicrobial activity[1]. PVB is chosen as a good impregnating matrix, being a thermoplastic elastomer with good adhesion behavior, resistant to wetting [2]. Impregnated fabric samples were examined regarding spectrophotometric properties and mechanical abrasion resistance. To achieve low visibility, besides being painted to match the colors of the environment, a surface must scatter light, so it should have a matte, low gloss coating [3, 4]. Diffuse reflectance and gloss are related, and from a spectral point of view, scattering properties are relevant for surface appearance [5]. Certain nanostructures may alter this feature

Extreme precipitations and their influence on the River flood Hazards: A case study of the Sana River Basin in Bosnia and Herzegovina

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 cause-and-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