Adaptation of Horton and SCS Infiltration Equations to Complex Storms

Aron, Gert

doi:10.1061/(asce)0733-9437(1992)118:2(275)

Cited by 21 publications

(20 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Bauer [7] proposed a modification of the Horton's equation by introducing a soil drainage term into the equation to overcome a lack of the recovery of infiltration capacity during the interval of no rain (INR). Aron [9] suggested a modification of Soil Conservation Service Curve Number (CN) method by including a drainage rate decay factor [6]. Pitt et al [8] conducted laboratory experiments on infiltration rates, which supported the previous two studies.…”

Section: Introductionmentioning

confidence: 68%

“…In the CN method, S represents a storage capability of water infiltrated into soil [9]. Figure 1 shows a physical (a) soil profile, (b) soil-water-air layer, and (c) a conceptual diagram of soil moisture, accounting to understand the meaning of S using volumetric terms since S depends on the volumes of the soil, water, and air layer and soil textures in the soil profile.…”

Section: mentioning

confidence: 99%

“…Using a time variable concept, Equation (8) becomes Equaiton (9), which represents the change of S after an INR. S(t + α) is the time variable S after the interval, α.…”

Section: mentioning

confidence: 99%

See 2 more Smart Citations

Derivation of Soil Moisture Recovery Relation Using Soil Conservation Service (SCS) Curve Number Method

Kim

Johnson

Cifelli

et al. 2018

Water

View full text Add to dashboard Cite

Soil moisture retention (SMR) capacity plays a key role in estimating the direct runoff when a multi-pulse storm event occurs. It is very important to know how much SMR will be recovered during the intervals of no rain of a multi-pulse storm. This study developed a new approach for derivation of the SMR recovery curve (R-curve) at sub-daily time-scales using the Curve Number (CN) method. The methodology was applied using complex storm events in the Napa River basin, California. The R-curve is classified into three sections depending on the recovery rate of SMR during the inter-storm interval of no rain (INR), and this study defines the characteristics. The first section of the R-curve (INR 0-21 h with 0.97 mm/h) is described as gradually recovering SMR, since water is being infiltrated and the upper soil layer is not fully saturated. The second section (INR 21-36 h with 2.11 mm/h) is defined as steeply recovering S due to downward drainage (sub-surface/inter flows) and evaporation without infiltration. The third section (INR 36-68 h with 0.34 mm/h) is described as gradually decreasing recovery dependent on evaporation since percolation and drainage have almost stopped.

show abstract

Section: Introductionmentioning

confidence: 68%

Section: mentioning

confidence: 99%

See 1 more Smart Citation

Derivation of Soil Moisture Recovery Relation Using Soil Conservation Service (SCS) Curve Number Method

Kim

Johnson

Cifelli

et al. 2018

Water

View full text Add to dashboard Cite

show abstract

“…Bauer (1974) accounted for dry periods through the recovery of soil infiltration capacity by coupling the Horton's equation with a drainage equation into lower soil layers. Following Bauer's formulation, Aron (1990) proposed a modification of the Horton's equation that makes the infiltration rate a function of cumulative antecedent infiltration estimating the water storage capacity of the soil from the potential maximum retention S given by the SCS-CN. A similar approach is proposed in the SWAT model (Arnold et al, 1993).…”

Section: The Soil Conservation Service Curve Number (Scs-cn) Methods Amentioning

confidence: 99%

“…Given the operational focus of this work, a suitable choice is a method which is not over-parameterized and does not require the acquisition of soil or land use information with details normally not available outside experimental catchments. Simple schematization of this type, based on physically interpretable parameters, start from the Horton equation (e.g., Bauer, 1974;Aron, 1990;Diskin and Nazimov, 1994). The limit of these models is usually the difficulty of setting parameter values based on physical characteristics of the catchment which are representative for basin scale simulations.…”

Section: Introductionmentioning

confidence: 99%

General calibration methodology for a combined Horton-SCS infiltration scheme in flash flood modeling

Gabellani

Silvestro

Rudari

et al. 2008

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. Flood forecasting undergoes a constant evolution, becoming more and more demanding about the models used for hydrologic simulations. The advantages of developing distributed or semi-distributed models have currently been made clear. Now the importance of using continuous distributed modeling emerges. A proper schematization of the infiltration process is vital to these types of models. Many popular infiltration schemes, reliable and easy to implement, are too simplistic for the development of continuous hydrologic models. On the other hand, the unavailability of detailed and descriptive information on soil properties often limits the implementation of complete infiltration schemes. In this work, a combination between the Soil Conservation Service Curve Number method (SCS-CN) and a method derived from Horton equation is proposed in order to overcome the inherent limits of the two schemes. The SCS-CN method is easily applicable on large areas, but has structural limitations. The Horton-like methods present parameters that, though measurable to a point, are difficult to achieve a reliable estimate at catchment scale. The objective of this work is to overcome these limits by proposing a calibration procedure which maintains the large applicability of the SCS-CN method as well as the continuous description of the infiltration process given by the Horton's equation suitably modified. The estimation of the parameters of the modified Horton method is carried out using a formal analogy with the SCS-CN method under specific conditions. Some applications, at catchment scale within a distributed model, are presented.

show abstract

On the prediction of the Toce alpine basin floods with distributed hydrologic models

Montaldo

Ravazzani

Mancini

2006

Hydrological Processes

View full text Add to dashboard Cite

Abstract:With the objective of improving flood predictions, in recent years sophisticated continuous hydrologic models that include complex land-surface sub-models have been developed. This has produced a significant increase in parameterization; consequently, applications of distributed models to ungauged basins lacking specific data from field campaigns may become redundant.The objective of this paper is to produce a parsimonious and robust distributed hydrologic model for flood predictions in Italian alpine basins. Application is made to the Toce basin (area 1534 km 2 ). The Toce basin was a case study of the RAPHAEL European Union research project, during which a comprehensive set of hydrologic, meteorological and physiographic data were collected, including the hydrologic analysis of the 1996-1997 period. Two major floods occurred during this period. We compare the FEST04 event model (which computes rainfall abstraction and antecedent soil moisture conditions through the simple Soil Conservation Service curve number method) and two continuous hydrologic models, SDM and TDM (which differ in soil water balance scheme, and base flow and runoff generation computations).The simple FEST04 event model demonstrated good performance in the prediction of the 1997 flood, but shows limits in the prediction of the long and moderate 1996 flood. More robust predictions are obtained with the parsimonious SDM continuous hydrologic model, which uses a simple one-layer soil water balance model and an infiltration excess mechanism for runoff generation, and demonstrates good performance in both long-term runoff modelling and flood predictions. Instead, the use of a more sophisticated continuous hydrologic model, the TDM, that simulates soil moisture dynamics in two layers of soil, and computes runoff and base flow using some TOPMODEL concepts, does not seem to be advantageous for this alpine basin.

show abstract

Adaptation of Horton and SCS Infiltration Equations to Complex Storms

Cited by 21 publications

References 4 publications

Derivation of Soil Moisture Recovery Relation Using Soil Conservation Service (SCS) Curve Number Method

Derivation of Soil Moisture Recovery Relation Using Soil Conservation Service (SCS) Curve Number Method

General calibration methodology for a combined Horton-SCS infiltration scheme in flash flood modeling

On the prediction of the Toce alpine basin floods with distributed hydrologic models

Contact Info

Product

Resources

About