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Revised runoff curve number for runoff prediction in the Loess Plateau of China

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/2015wr018439openalex-snapshot

Beyond the SCS‐CN method: A theoretical framework for spatially lumped rainfall‐runoff response

inferredcites →https://doi.org/10.1002/2016wr020176openalex-snapshot

Comment on “Beyond the SCS‐CN method: A theoretical framework for spatially lumped rainfall‐runoff response” by M . S. Bartlett et al.

inferredcites →https://doi.org/10.1002/hyp.13892openalex-snapshot

Field studies on the influence of rainfall intensity, vegetation cover and slope length on soil moisture infiltration on typical watersheds of the Loess Plateau, China

inferredcites →https://doi.org/10.1002/hyp.6281openalex-snapshot

Use of the Connectivity of Runoff Model (CRUM) to investigate the influence of storm characteristics on runoff generation and connectivity in semi‐arid areas

inferredcites →https://doi.org/10.1002/hyp.6312openalex-snapshot

Use of soil moisture data and curve number method for estimating runoff in the Loess Plateau of China

inferredcites →https://doi.org/10.1002/ldr.2373openalex-snapshot

Dynamics of Runoff and Suspended Sediment Transport in a Highly Erodible Catchment on the Chinese Loess Plateau

inferredcites →https://doi.org/10.1002/ldr.3028openalex-snapshot

Prediction of storm‐based nutrient loss incorporating the estimated runoff and soil loss at a slope scale on the Loess Plateau

inferredcites →https://doi.org/10.1002/ldr.572openalex-snapshot

Effects of land use on soil erosion and nitrogen loss in the hilly area of the Loess Plateau, China

inferredcites →https://doi.org/10.1007/s00267-008-9122-6openalex-snapshot

Effect of Rainfall Regime and Slope on Runoff in a Gullied Loess Region on the Loess Plateau in China

inferredcites →https://doi.org/10.1007/s10040-016-1460-5openalex-snapshot

Evaluation of the Soil Conservation Service curve number methodology using data from agricultural plots

inferredcites →https://doi.org/10.1007/s11269-007-9196-6openalex-snapshot

A Rain Duration and Modified AMC-dependent SCS-CN Procedure for Long Duration Rainfall-runoff Events

inferredcites →https://doi.org/10.1007/s11269-012-0082-5openalex-snapshot

Identification of the SCS-CN Parameter Spatial Distribution Using Rainfall-Runoff Data in Heterogeneous Watersheds

inferredcites →https://doi.org/10.1007/s11269-017-1610-0openalex-snapshot

A Modified SCS-CN Method Incorporating Storm Duration and Antecedent Soil Moisture Estimation for Runoff Prediction

inferredcites →https://doi.org/10.1007/s11629-016-3945-zopenalex-snapshot

Using modified Soil Conservation Service curve number method to simulate the role of forest in flood control in the upper reach of the Tingjiang River in China

inferredcites →https://doi.org/10.1007/s40710-015-0069-3openalex-snapshot

Estimate of Continuous Sediment Graphs in a Basin, Using a Composite Mathematical Model

inferredcites →https://doi.org/10.1016/0022-1694(70)90255-6openalex-snapshot

River flow forecasting through conceptual models part I — A discussion of principles

inferredcites →https://doi.org/10.1016/j.agrformet.2005.05.005openalex-snapshot

Simulating potential response of hydrology, soil erosion, and crop productivity to climate change in Changwu tableland region on the Loess Plateau of China

inferredcites →https://doi.org/10.1016/j.catena.2018.08.032openalex-snapshot

Influence of land cover data sources on estimation of direct runoff according to SCS-CN and modified SME methods

inferredcites →https://doi.org/10.1016/j.ejrh.2019.100645openalex-snapshot

Assessment of storm direct runoff and peak flow rates using improved SCS-CN models for selected forested watersheds in the Southeastern United States

inferredcites →https://doi.org/10.1016/j.jenvman.2018.12.115openalex-snapshot

Phenology-adjusted dynamic curve number for improved hydrologic modeling

inferredcites →https://doi.org/10.1016/j.jhydrol.2010.04.006openalex-snapshot

Assessment of initial soil moisture conditions for event-based rainfall–runoff modelling

inferredcites →https://doi.org/10.1016/j.still.2018.03.001openalex-snapshot

Storm-based CSLE that incorporates the estimated runoff for soil loss prediction on the Chinese Loess Plateau

inferredcites →https://doi.org/10.1016/j.watres.2007.07.038openalex-snapshot

Probabilistic modelling of overflow, surcharge and flooding in urban drainage using the first-order reliability method and parameterization of local rain series

inferredcites →https://doi.org/10.1016/j.watres.2020.115767openalex-snapshot

CN-China: Revised runoff curve number by using rainfall-runoff events data in China

inferredcites →https://doi.org/10.1016/s0022-1694(02)00025-2openalex-snapshot

On the derived flood frequency distribution: analytical formulation and the influence of antecedent soil moisture condition

inferredcites →https://doi.org/10.1016/s1364-8152(03)00079-3openalex-snapshot

Modelling nutrient transport in Currency Creek, NSW with AnnAGNPS and PEST

inferredcites →https://doi.org/10.1029/wr012i005p00925openalex-snapshot

An analysis of the effects of parameter uncertainty in deterministic hydrologic models

inferredcites →https://doi.org/10.1061/(asce)0733-9437(1993)119:2(334)openalex-snapshot

Asymptotic Determination of Runoff Curve Numbers from Data

inferredcites →https://doi.org/10.1061/(asce)1084-0699(1996)1:1(11)openalex-snapshot

Runoff Curve Number: Has It Reached Maturity?

inferredcites →https://doi.org/10.1061/(asce)he.1943-5584.0000435openalex-snapshot

Improved SCS-CN–Inspired Model

inferredcites →https://doi.org/10.1080/2150704x.2017.1297544openalex-snapshot

Development of an NRCS curve number global dataset using the latest geospatial remote sensing data for worldwide hydrologic applications

inferredcites →https://doi.org/10.1111/j.1752-1688.1975.tb01810.xopenalex-snapshot

THE IMPORTANCE OF ACCURATE CURVE NUMBERS IN THE ESTIMATION OF STORM RUNOFF1

inferredcites →https://doi.org/10.1111/j.1752-1688.2003.tb04386.xopenalex-snapshot

IMPROVED RAINFALL/RUNOFF ESTIMATES USING REMOTELY SENSED SOIL MOISTURE1

inferredcites →https://doi.org/10.13031/2013.12981openalex-snapshot

WATERSHEDSCALE AMC SELECTION FOR HYDROLOGIC MODELING

inferredcites →https://doi.org/10.13031/2013.28092openalex-snapshot

Determining the Green-Ampt Effective Hydraulic Conductivity from Rainfall-runoff Data for the WEPP Model

inferredcites →https://doi.org/10.2166/nh.2006.011openalex-snapshot

On the Ia–S relation of the SCS-CN method

inferredcites →https://doi.org/10.2166/nh.2020.140openalex-snapshot

Improved SMA-based SCS-CN method incorporating storm duration for runoff prediction on the Loess Plateau, China

inferredcites →https://doi.org/10.3390/w12051335openalex-snapshot

An Improved SCS-CN Method Incorporating Slope, Soil Moisture, and Storm Duration Factors for Runoff Prediction

inferredcites →https://doi.org/10.5194/hess-16-1001-2012openalex-snapshot

SCS-CN parameter determination using rainfall-runoff data in heterogeneous watersheds – the two-CN system approach

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4771637openalex-extracted

A Modified Curve Number Method for Runoff Prediction of Different Soil Types in China

inferred← citeshttps://doi.org/10.1007/s11269-026-04629-9openalex-snapshot

Aridity Index-Integrated First-Order Planar Regression Framework for Refining Curve Number in a Medium-Scale Watershed

inferred← citeshttps://doi.org/10.1007/s44533-026-00032-wopenalex-snapshot

Streamflow forecasting using LSTM and weighted curve number method in Tawi watershed, Western Himalaya

inferred← citeshttps://doi.org/10.1016/j.catena.2024.108641openalex-snapshot

An improved curve number for runoff prediction under different vegetation pattern at slope scale in China

inferred← citeshttps://doi.org/10.1016/j.catena.2025.108957openalex-snapshot

A modified curve number method for runoff prediction of different soil types in China

inferred← citeshttps://doi.org/10.1016/j.envsoft.2024.105957openalex-snapshot

Optimization of waterproofing and drainage measures for open-pit mines based on seasonal rainfall time series prediction

inferred← citeshttps://doi.org/10.1016/j.htopen.2026.100055openalex-snapshot

Assessing the applicability of conventional and modified SCS–CN methods under variable slope and land use conditions

inferred← citeshttps://doi.org/10.1016/j.iswcr.2022.09.001openalex-snapshot

An improved method that incorporates the estimated runoff for peak discharge prediction on the Chinese Loess Plateau

inferred← citeshttps://doi.org/10.1016/j.jhydrol.2022.127870openalex-snapshot

2D hydrodynamic approach supporting evaluations of hydrological response in small watersheds: Implications for lag time estimation

inferred← citeshttps://doi.org/10.1016/j.jhydrol.2022.128598openalex-snapshot

An improved MUSLE model incorporating the estimated runoff and peak discharge predicted sediment yield at the watershed scale on the Chinese Loess Plateau

inferred← citeshttps://doi.org/10.1016/j.jhydrol.2022.129049openalex-snapshot

Development and testing of updated curve number models for efficient runoff estimation in steep-slope watersheds

inferred← citeshttps://doi.org/10.1016/j.jhydrol.2025.133044openalex-snapshot

Coupled SWMM-MOEA/D for multi-objective optimization of low impact development in urban stormwater systems

inferred← citeshttps://doi.org/10.1016/j.jhydrol.2026.135310openalex-snapshot

Fusing dynamic physical constraints with PINN-xLSTM to enhance accuracy and physical consistency in runoff prediction under extreme hydrological events

inferred← citeshttps://doi.org/10.1016/j.still.2025.106737openalex-snapshot

A modified curve number method for runoff prediction of different vegetation types at the slope scale in China

inferred← citeshttps://doi.org/10.1016/j.still.2025.106923openalex-snapshot

Sediment yield prediction in ridge-furrow rainwater harvesting using coupled USLE–SCS-CN model on the Loess Plateau, China

inferred← citeshttps://doi.org/10.1016/j.still.2026.107134openalex-snapshot

Mechanisms of extreme rainfall partitioning in contour ridge system: A modified SCS-CN method incorporating microtopographic and ridge geometry effects

inferred← citeshttps://doi.org/10.1080/02626667.2025.2571452openalex-snapshot

Comparing infiltration loss methods for event-based rainfall-runoff modelling in a Hungarian catchment

inferred← citeshttps://doi.org/10.1089/scc.2024.0085openalex-snapshot

Design and Evaluation of a Low-Cost Artificial Groundwater Recharge System Using Rainwater Harvested from Rooftop: A Case Study in Islamabad, Pakistan

inferred← citeshttps://doi.org/10.1371/journal.pone.0259611openalex-snapshot

Impact of the Grain for Green Project on water resources and ecological water stress in the Yanhe River Basin

inferred← citeshttps://doi.org/10.1590/2318-0331.272220220035openalex-snapshot

Curve number for runoff estimating in interlocking concrete pavement

inferred← citeshttps://doi.org/10.3390/w14162582openalex-snapshot

Effects of the Gully Land Consolidation Project on Runoff and Peak Flow Rate on the Loess Plateau, China

inferred← citeshttps://doi.org/10.3390/w16081179openalex-snapshot

Research on Annual Runoff Prediction Model Based on Adaptive Particle Swarm Optimization–Long Short-Term Memory with Coupled Variational Mode Decomposition and Spectral Clustering Reconstruction

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