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RISRegional Flood Frequency Analysis Using L-Moments for North Brahmaputra Region of India
Publisher: American Society of Civil Engineers
Abstract: Data of 13 stream flow gauging sites of the North Brahmaputra region of India are screened using the discordancy measure
Closure to “Regional Flood Frequency Analysis Using L-Moments for North Brahmaputra Region of India” by Rakesh Kumar and Chandranath Chatterjee
Publisher: American Society of Civil Engineers
Flood Forecasting Using ANN, Neuro-Fuzzy, and Neuro-GA Models
Publisher: American Society of Civil Engineers
Abstract: Flood forecasting at Jamtara gauging site of the Ajay River Basin in Jharkhand, India is carried out using an artificial neural network (ANN) model, an adaptive neuro-fuzzy interference system (ANFIS) model, and an adaptive ...
Time-Varying Evaluation of Compound Drought and Hot Extremes in Machine Learning–Predicted Ensemble CMIP5 Future Climate: A Multivariate Multi-Index Approach
Publisher: ASCE
Abstract: Compound extremes can be expressed as the joint distribution or dynamic interaction of multiple variables and the interdependence of several extremes that have major effects on the agricultural sector. Analysis of these ...
Hydrological Modeling to Identify and Manage Critical Erosion-Prone Areas for Improving Reservoir Life: Case Study of Barakar Basin
Publisher: American Society of Civil Engineers
Abstract: In this investigation, an effort was made to model the hydrology and to identify critical erosion-prone areas of the Barakar Basin (
Flood Estimation by GIUH-Based Clark and Nash Models
Publisher: American Society of Civil Engineers
Abstract: With the recent and drastic decline of hydrological in situ networks, flood estimation from ungauged basins is an imperative research area in scientific hydrology. In this regard, geomorphologic instantaneous unit hydrograph ...
River-Flow Forecasting Using Higher-Order Neural Networks
Publisher: American Society of Civil Engineers
Abstract: In this paper, we propose a novel neural modeling methodology for forecasting daily river discharge that makes use of neural units with higher-order synaptic operations (NU-HSOs). For hydrologic forecasting, conventional ...