A revisit of NRCS-CN inspired models coupled with RS and GIS for runoff estimation
ABSTRACT The Natural Resource Conservation Service–Curve Number (NRCS-CN)
methodology is a widely used tool for estimating surface runoff, which is of prime importance …
methodology is a widely used tool for estimating surface runoff, which is of prime importance …
Rainfall–runoff estimation using SCS–CN and GIS approach in the Pappiredipatti watershed of the Vaniyar sub basin, South India
S Satheeshkumar, S Venkateswaran… - Modeling Earth Systems …, 2017 - Springer
Rainfall and runoff are significant constitute the sources of water for recharge of ground
water in the watershed. Rainfall is a major the primary source of recharge into the ground …
water in the watershed. Rainfall is a major the primary source of recharge into the ground …
Impact of temporal rainfall patterns on flash floods in Hue City, Vietnam
Urban flooding is a perennial problem, especially in develo** countries with relatively
weak infrastructure under ever‐increasing stress due to climate change and human …
weak infrastructure under ever‐increasing stress due to climate change and human …
Development of flood hazard map and emergency relief operation system using hydrodynamic modeling and machine learning algorithm
This study performs flood hazard map** and evaluates community flood co** strategies.
In addition, it proposes a humanitarian aid information system (HAIS) to enhance emergency …
In addition, it proposes a humanitarian aid information system (HAIS) to enhance emergency …
Activation soil moisture accounting (ASMA) for runoff estimation using soil conservation service curve number (SCS-CN) method
In this study, the concept of activation soil moisture (ASM) has been conceptualised by
coupling the Soil Moisture Accounting (SMA) concept with the static infiltration component …
coupling the Soil Moisture Accounting (SMA) concept with the static infiltration component …
An Improved I a S Relation Incorporating Antecedent Moisture in SCS-CN Methodology
Employing a large dataset of 84 small watersheds (area= 0.17 to 71.99 ha) of USA, this
paper investigates a number of initial abstraction (I a)-potential maximum retention (S) …
paper investigates a number of initial abstraction (I a)-potential maximum retention (S) …