Results 211 to 220 of about 1,852 (247)

Spatial Immune Profiling and AI-Based Classifiers Identify Predictors of BCG Therapy Outcomes in High-Risk Non-Muscle-Invasive Bladder Cancer. [PDF]

Cancers (Basel)
Lillesand M, Austdal M, Mroz J, Skaland I, Gudlaugsson E, Jong FC, Zuiverloon TCM, Engan K, Janssen EAM.   +8 more
europepmc   +1 more source

Optimization of the HEC-RAS Based Flood Inundation Mapping using Adaptive Neuro- Fuzzy Inference System: A case study of Olkeriai River Basin, Kenya

Bore E, Otieno AK, Kimwatu DM, Kiptala JK.   +3 more
europepmc   +1 more source

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Improved SCS-CN–Inspired Model

Journal of Hydrologic Engineering - ASCE, 2012
AbstractThe present study enhances the Soil Conservation Service curve number (SCS-CN) predictions by improving the model structure, considering the following issues of concern: implementation of antecedent moisture condition procedure, fixation of initial abstraction ratio (λ) at 0.2, usage of the potential maximum retention parameter, and ...
P. Suresh Babu, S. K. Mishra
exaly   +2 more sources

SCS-CN based time-distributed sediment yield model

Journal of Hydrology, 2008
A sediment yield model is developed to estimate the temporal rates of sediment yield from rainfall events on natural watersheds. The model utilizes the SCS-CN based infiltration model for computation of rainfall-excess rate, and the SCS-CN-inspired proportionality concept for computation of sediment-excess.
Ranvir Singh
exaly   +2 more sources

Simplified SMA-inspired 1-parameter SCS-CN model for runoff estimation

Arabian Journal of Geosciences, 2018
This study proposes a simplified 1-parameter SCS-CN model (M5) based on Mishra-Singh (2002) model and soil moisture accounting (SMA) procedure for surface runoff estimation and compares its performance with the existing SCS-CN method (SCS, 1956) (M1), Michel 1-P model (Water Resour Res 41:1-6, 2005) (M2), Sahu 1-P model (Hydrol Process 21:2872-2881 ...
Ronny Berndtsson, Surendra Kumar Mishra, Anju Singh   +2 more
exaly   +2 more sources

Reliability assessment of water structures subject to data scarcity using the SCS-CN model

Hydrological Sciences Journal, 2016
ABSTRACTWhen discharge measurements are not available, design of water structures relies on using frequency analysis of rainfall data and applying a rainfall–runoff model to estimate a hydrograph. The Soil Conservation Service (SCS) method estimates the design hydrograph first through a rainfall–runoff transformation and next by propagating runoff to ...
Ashraf M Elmoustafa, Ayman Awadallah
exaly   +2 more sources

Field Applicability of the SCS-CN-Based Mishra?Singh General Model and its Variants

Water Resources Management, 2005
The general soil conservation service curve number (SCS-CN)-based Mishra and Singh (Mishra and Singh, 1999, J. Hydrologic. Eng. ASCE, 4(3), 257–264) model and its eight variants were investigated for their field applicability using a large set of rainfall-runoff events, derived from a number of U.S.
Jain M K
exaly   +2 more sources

A generalized relation between initial abstraction and potential maximum retention in SCS‐CN‐based model

International Journal of River Basin Management, 2006
Abstract Soil Conservation Service curve number (SCS‐CN) method estimates direct surface runoff from given amount of rainfall. The initial abstraction coefficient (λ), which largely depends on the climatic conditions, is taken as a constant value of 0.2 in the method and it is perhaps the most ambiguous parameter to be considered for modification ...
T I Eldho
exaly   +2 more sources

Reducing Uncertainties in Infiltration Model Using SCS-CN for Mixed Land Use Catchment

Lecture Notes in Civil Engineering, 2022
A. J. Hassan, S. Harun, T. Ismail, H. Zulkarnain   +3 more
exaly   +2 more sources