Articles | Volume 22, issue 12
https://doi.org/10.5194/hess-22-6567-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-22-6567-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Dec 2018
Research article |
| 20 Dec 2018
| 20 Dec 2018
A new probability density function for spatial distribution of soil water storage capacity leads to the SCS curve number method
Dingbao Wang
CORRESPONDING AUTHOR
Department of Civil, Environmental, and Construction Engineering, University
of Central Florida, Orlando, Florida, USA
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- The contributions of climate and land use/cover changes to water yield services considering geographic scale K. Zhu et al. 10.1016/j.heliyon.2023.e20115
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29 citations as recorded by crossref.
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- Implications of event-based loss model structure on simulating large floods D. O'Shea et al. 10.1016/j.jhydrol.2021.126008
- CN-China: Revised runoff curve number by using rainfall-runoff events data in China H. Lian et al. 10.1016/j.watres.2020.115767
- Hydrological Basis of Different Budyko Equations: The Spatial Variability of Available Water for Evaporation L. Yao & D. Wang 10.1029/2021WR030921
- MIDAS: A New Integrated Flood Early Warning System for the Miño River D. Fernández-Nóvoa et al. 10.3390/w12092319
- Simulating Runoff and Actual Evapotranspiration via Time-Variant Parameter Method: The Effects of Hydrological Model Structures Z. Pan et al. 10.1061/(ASCE)HE.1943-5584.0002220
- How to mitigate flood events similar to the 1979 catastrophic floods in the lower Tagus D. Fernández-Nóvoa et al. 10.5194/nhess-24-609-2024
- Assessing the effects of increased impervious surface on the aquifer recharge through river flow network, case study of Jackson, Tennessee, USA A. Giglou et al. 10.1016/j.scitotenv.2023.162203
- Integrating hybrid runoff generation mechanism into variable infiltration capacity model to facilitate hydrological simulations Y. Shen et al. 10.1007/s00477-020-01878-x
- Deciphering Hulun lake level dynamics and periodical response to climate change during 1961–2020 Y. Huang et al. 10.1016/j.ejrh.2023.101352
- A Daily Water Balance Model Based on the Distribution Function Unifying Probability Distributed Model and the SCS Curve Number Method M. Kheimi & S. Abdelaziz 10.3390/w14020143
- Climatic Control on Spatial Distribution of Water Storage at the Catchment Scale: A Framework for Unifying Saturation Excess Runoff Models L. Yao & D. Wang 10.1029/2021JD036334
- Enhancing Flood Risk Management: A Comprehensive Review on Flood Early Warning Systems with Emphasis on Numerical Modeling D. Fernández-Nóvoa et al. 10.3390/w16101408
- HESS Opinions: Beyond the long-term water balance: evolving Budyko's supply–demand framework for the Anthropocene towards a global synthesis of land-surface fluxes under natural and human-altered watersheds D. Wang et al. 10.5194/hess-24-1975-2020
- Climatic Control on Mean Annual Groundwater Evapotranspiration in a Three‐Stage Precipitation Partitioning Framework Y. Zhang et al. 10.1029/2022WR034167
- The Roles of Climate Forcing and Its Variability on Streamflow at Daily, Monthly, Annual, and Long‐Term Scales L. Yao et al. 10.1029/2020WR027111
- Diagnosis toward predicting mean annual runoff in ungauged basins Y. Gao et al. 10.5194/hess-25-945-2021
- Activation soil moisture accounting (ASMA) for runoff estimation using soil conservation service curve number (SCS-CN) method S. Verma et al. 10.1016/j.jhydrol.2020.125114
- Understanding the role of the spatial-temporal variability of catchment water storage capacity and its runoff response using deep learning networks K. Xie et al. 10.1088/1748-9326/ad404b
- Analogy Between SCS-CN and Muskingum Methods E. Sangin et al. 10.1007/s11269-023-03660-4
- An Analytical Baseflow Coefficient Curve for Depicting the Spatial Variability of Mean Annual Catchment Baseflow S. Cheng et al. 10.1029/2020WR029529
- Influence of Karst Reservoir Capacity on Flood in Lijiang Basin Based on Modified HEC-HMS through Soil Moisture Accounting Loss J. Dai et al. 10.3390/atmos13101544
- Land-Use and Land Cover Is Driving Factor of Runoff Yield: Evidence from A Remote Sensing-Based Runoff Generation Simulation C. Xu et al. 10.3390/w14182854
- Estimation and attribution of water storage changes in regulated lakes based on Budyko’s supply–demand framework M. Zhou et al. 10.1016/j.ejrh.2023.101505
- Streamflow prediction under extreme data scarcity: a step toward hydrologic process understanding within severely data-limited regions M. Alipour & K. Kibler 10.1080/02626667.2019.1626991
- Revisiting the tension water storage capacity distribution in conceptual rainfall-runoff modeling: A large-sample approach Y. Zhou et al. 10.1016/j.jhydrol.2024.131834
- Verification of a New Spatial Distribution Function of Soil Water Storage Capacity Using Conceptual and SWAT Models K. Xie et al. 10.1061/(ASCE)HE.1943-5584.0001887
- The contributions of climate and land use/cover changes to water yield services considering geographic scale K. Zhu et al. 10.1016/j.heliyon.2023.e20115
- Climatic and Landscape Controls on Long‐Term Baseflow L. Yao et al. 10.1029/2020WR029284
Latest update: 22 Nov 2024
Short summary
A novel distribution function is proposed for describing the spatial distribution of soil water storage capacity, and then the classical and empirical hydrologic model (the SCS curve number method) is derived as when the initial soil water storage is zero. This distribution function unifies the SCS curve number method and probability-distributed models such as the VIC and Xinanjiang models. The unified model provides a better way for modeling surface runoff.
A novel distribution function is proposed for describing the spatial distribution of soil water...
