Flooding has an important impact on people’s resides and livelihoods. The effect of flood catastrophes on peoples resides may be mitigated by establishing effective flooding forecasting and forecast designs. Nearly all flooding prediction designs don’t take all flood-causing factors into account when they are created. It is difficult to get and deal with several of those flood-causing factors being that they are heterogeneous in general. This report presents an innovative new big information structure called Data Lake, that could ingest and keep all-important flood-causing heterogeneous information sources within their natural format for machine understanding design creation. The analytical relevance of essential flooding making elements on flooding forecast result is determined making use of inferential statistical techniques. The outcome for this research is to create flooding warning systems that may alert the public and government officials so that they can ventriculostomy-associated infection make choices in the eventuality of a severe flooding, reducing socioeconomic reduction. •Flood causing facets come from heterogeneous resources, so there learn more is no huge data design for managing number of information sources.•To offer information architectural option using data lake for obtaining and analysing heterogeneous flood causing factors.•Uses inferential statistical approach to determine need for various flooding causing facets in design of efficient flood prediction models.Accurate estimation of evaporative losses from a water body, with the Craig-Gordon model together with steady hydrogen and oxygen isotope composition of water, requires knowledge of the stable isotope composition of ambient atmosphere moisture. This is seldom measured on the go, which is frequently projected let’s assume that current rain continues to be in isotopic balance with atmospheric dampness. Nevertheless, the background environment dampness stable isotope structure may vary somewhat at various levels over the liquid human body. In this research, we set up outdoor cooking pan evaporation experiments and simultaneously assessed the steady isotope structure of ambient dampness in the environment at three different heights. Making use of these measurements, we calculated evaporative losses, contrasted them with the noticed losses in the cooking pan, and assessed the uncertainty introduced by differences in ambient dampness measurements. Three primary tips within the experimental method•Daily water sampling through the evaporation pan for analysis of steady hydrogen and air isotope compositions.•Recording the stable isotope composition of ambient environment moisture at three different levels making use of the Picarro L2130-i system during a period of experiments.•Calculating evaporative losses from the pan making use of the Craig-Gordon model and ambient atmosphere steady isotope composition calculated at three various levels and comparing to your observed losses.Fourier-transform infrared (FT-IR) spectroscopy means for calculating little microplastic (SMP) concentration in marine environment is time-consuming and labor-intensive due to test pre-treatment. On the other hand, Raman spectroscopy is less impacted by water and can right measure SMP examples in liquid, making it a far more efficient method to determine SMP concentration. Consequently, a way that will directly estimate the concentration of SMPs in water was developed, and the relationship between SMP concentration and experimental Raman spectra had been founded by testing with standard polyethylene (PE) samples. It absolutely was found that normal spectra obtained in water Hepatic lipase solution could reflect characteristic peaks of this synthetic after baseline modification. More investigation discovered that there clearly was a substantial practical commitment between correlation coefficient of sample spectra while the concentration of PE particles, and such relationship could be modelled by Langmuir model. The empirical functional relationships may be used to estimate SMP levels by measuring normal Raman spectra. The evolved methodology is useful for establishing rapid SMP identification and keeping track of methods in a far more complex manner.•A approach to directly calculating MP focus in liquid is recommended.•Experimental treatments are supplied.•Data evaluation practices tend to be outlined. Hereditary hemorrhagic telangiectasia (HHT), an unusual genetic disorder, can cause recurrent massive epistaxis and intestinal bleeding resulting in serious anemia. Early diagnosis of HHT is essential to supply prompt interventional treatments. HHT is an unusual autosomal prominent genetic infection that leads to irregular vasculogenesis in the epidermis, mucous membranes, and visceral body organs including the liver, lungs, and brain. Medical analysis of HHT is made utilising the Curacao criteria, which include recurrent spontaneous nosebleeds, mucocutaneous telangiectasias, visceral organ involvement, and first-degree family history of HHT. Right here, we report someone with HHT from Ethiopia, whom presented with recurrent epistaxis and intestinal bleeding, and extreme anemia calling for frequent bloodstream transfusions along with cauterization. The presented situation is a 42-year-old Black Ethiopian man with frequent hospitalization for severe anemia and high-output heart failure requiring frequent bloodstream transfusions. Their motheur and peripheral edema. Laboratory investigations revealed severe anemia with iron deficiency image.