Pier scour is a major problem for the safe and economical design of bridges. Large number field laboratory studies have been conducted to investigative effect significant variables. Present study an attempt develop generalized prediction equation investigate temporal variation around circular bridges utilizing data generated from our experimental as well collected by earlier researchers. Nearly 1100 data-sets were compiled utilized using MLR GA. The depth predicted GA was found be more...

River water quality is of utmost importance because the river not only one key resources but also a natural habitat serving its surrounding environment. In bid to address whether it has qualified quality, various analytics are required be considered, challenging measure all them frequently along reach. Therefore, estimating index (WQI) incorporating several weighted useful approach assess in rivers. This study explored applications ten machine learning (ML) models estimate WQI for Southern...

Abstract This paper deals with generalized scour estimation to investigate maximum depth at equilibrium condition using experimental data obtained from experiments conducted by the authors along of previous researchers. Three hundred were used derive clear water relationship around circular a bridge pier genetic algorithm (GA) and multiple linear regression (MLR) techniques. The GA-based showed more precise results than MLR. In addition, present GA MLR relationships compared some equations...

Infiltration is the process of flow water into ground through soil surface. Soil although contributes a negligible fraction total present on earth surface, but utmost importance for plant life. Estimation infiltration rates paramount estimation effective rainfall, groundwater recharge, and designing irrigation systems. Numerous models are in use rates. The conventional graphical approach parameters often fails to estimate precisely. generalised reduced gradient (GRG) solver reported be...

Estimation of discharge flowing through rivers is an important aspect water resource planning and management. The most common way to address this concern develop stage‐discharge relationships at various river sections. Various computational techniques have been applied ratings improve the accuracy estimated discharges. In regard, present study explores application novel hybrid multigene genetic programming‐generalized reduced gradient (MGGP‐GRG) technique for estimating discharges steady as...

Infiltration is a vital phenomenon in the water cycle, and consequently, estimation of infiltration rate important for many hydrologic studies. In present paper, different data‐driven models including Multiple Linear Regression (MLR), Generalized Reduced Gradient (GRG), two Artificial Intelligence (AI) techniques (Artificial Neural Network (ANN) Multigene Genetic Programming (MGGP)), hybrid MGGP‐GRG have been applied to estimate rates. The estimated rates were compared with those obtained by...

Sediment load in the Ganga river is among highest world. Effective discharge for suspended sediment transport at 15 stations on has been computed using a mean and rating curve approach present study. Discharge data were procured from Central Water Commission, India. The study shows that discharges of moderate magnitude frequency are responsible maximum river. About 90% total transported by with return period less than three years annual series most stations. Bankfull manifold effective...

Abstract Variability in infiltration characteristics of soils creates need for selection appropriate model. Recently, a novel model was proposed and reported to perform excellently estimating rate Kurukshetra, India, however, this be tested its reliability at global level. In regard, the present study analyses based on database comprising 16 data sets from different parts world arrive some generalized results as compared commonly used models. Comparative analysis reveals that out 9 sites...

Design, operation and management of water resource projects are influenced by the amount discharge passing through stream. Discharge at gauging site is generally estimated developing single-valued simple rating curves. However, in case unsteady flows, hysteresis affect introduced stage relationship as such curves no longer valid for situations. The present paper presents a spreadsheet-based optimization approach modelling hysteresis-affected Generalized reduced gradient (GRG) technique has...

A data-driven relationship between sediment and discharge of a river is among the most erratic relationships in engineering due to existence an inevitable scatter rating curves. Recently, Multigene Genetic Programming (MGGP), as machine learning (ML) method, has been proposed develop models for various phenomena field hydrology water resource engineering. The present study explores capability MGGP-based daily ratings two gauging sites with 30-year sediment-discharge data, which was utilized...

Abstract Changes in the streamflow pattern raise a plethora of implications on morphological, economic, social, and cultural aspects an entire river basin. Trend analysis hydrological time series is most common method to identify these changes. Several methods have been proposed trends series. In present study, Mann–Kendall (MK), innovative trend (ITA), revised (RITA) were used discharge sediment load at two gauging sites lower Drava River Basin, during 1988–2017 with objective compare...