Daily variation of Danube River temperature measured at Oltenit? gauging station over 9 years (2008-2016) was analysed in comparison with the air by satellite same location between 1979-2020. Air shows a nearly 2°C increase 40-years period, which can be attributed to both climate warming and anthropic impact. Water modeled sinusoidal function discharge discussed. Long-term trend hourly surface ...

Rivers provide critical water supply for many human societies and ecosystems, yet global knowledge of their flow rates is poor. We show that useful estimates of absolute river discharge (in cubic meters per second) may be derived solely from satellite images, with no ground-based or a priori information whatsoever. The approach works owing to discovery of a characteristic scaling law uniquely f...

In recent decades, an increase in the number of extreme flood events as well drought has been observed Slovenia. This rise need for a comprehensive analysis trends discharge data series. study, statistical seasonal and annual mean, maximum, low values were investigated using Mann Kendall test. The results show temporal spatial variability discharge. general, decreasing trend water quantities ri...

An accurate water stage prediction allows the pertinent authority to issue a forewarning of the impending flood and to implement early evacuation measures when required. Existing methods including rainfall-runoff modeling or statistical techniques entail exogenous input together with a number of assumptions. The use of artificial neural networks (ANN) has been shown to be a cost-effective techn...

Tubes/Pipes employed in critical applications such as Power Plants, Petrochemical industry and others, demand very stringent quality control. Various Non-Destructive Testing (NDT) techniques are used for inspection of such objects both during fabrication as well as in-service stages. Ultrasonic testing (UT) is a very popular NDT technique adopted in such applications. Flaw detection and thickne...

[1] Recognizing that the frequency distribution of annual maximum floods at a given location may change over time in response to interannual and longer climate fluctuations, we compare two approaches for the estimation of flood quantiles conditional on selected ‘‘climate indices’’ that carry the signal of structured low-frequency climate variation, and influence the atmospheric mechanisms that ...

A generalization of the discrete linear cascade model (DLCM), which is a statespace-formulated discretized version of the continuous Kalinin–Milyukov–Nash Cascade, is described for noninteger number of uniform storage elements. The generalized model was tested against numerically integrated values of the Saint-Venant equations and was found to yield improved model accuracy in comparison with th...

An accurate water stage prediction allows the pertinent authority to issue a forewarning of the impending flood and to implement early evacuation measures when required. Existing methods including rainfall-runoff modeling or statistical techniques entail exogenous input together with a number of assumptions. The use of artificial neural networks has been shown to be a costeffective technique. B...

A reliable correlation between rainfall-runoff enables the local authority to gain more amble time for formulation of appropriate decision making, issuance of an advanced flood forewarning, and execution of earlier evacuation measures. Since a variety of existing methods such as rainfall-runoff modeling or statistical techniques involve exogenous input and different assumptions, artificial neur...