A Calibrated, Watershed-Specific SCS-CN Method: Application to Wangjiaqiao Watershed in the Three Gorges Area, China

Ling, Lloyd; Yusop, Zulkifli; Yap, Wun‐She; Tan, Wei; Fai, Chow Ming; Ling, Joan Lucille

doi:10.3390/w12010060

Cited by 34 publications

(34 citation statements)

References 39 publications

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“…As the rainfall depth, the direct runoff, and the initial abstraction are known (measured or estimated), Equation (3) may be solved for the maximum potential catchment retention: S. Finally, the initial abstraction ratio was computed from Equation (4) for each recorded storm event. This technique of Ia estimation has been used in previous studies such as Shi et al [8] and Ling et al [49].…”

Section: Estimation Of the Initial Abstraction Ratio From Recorded Datamentioning

confidence: 99%

Variability of the Initial Abstraction Ratio in an Urban and an Agroforested Catchment

Krajewski

Sikorska‐Senoner

Hejduk

et al. 2020

Water

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The Curve Number method is one of the most commonly applied methods to describe the relationship between the direct runoff and storm rainfall depth. Due to its popularity and simplicity, it has been studied extensively. Less attention has been given to the dimensionless initial abstraction ratio, which is crucial for an accurate direct runoff estimation with the Curve Number. This ratio is most often assumed to be equal to 0.20, which was originally proposed by the method’s developers. In this work, storm events recorded in the years 2009–2017 in two small Polish catchments of different land use types (urban and agroforested) were analyzed for variability in the initial abstraction ratio across events, seasons, and land use type. Our results showed that: (i) estimated initial abstraction ratios varied between storm events and seasons, and were most often lower than the original value of 0.20; (ii) for large events, the initial abstraction ratio in the catchment approaches a constant value after the rainfall depth exceeds a certain threshold value. Thus, when using the Soil Conservation Service-Curve Number (SCS-CN) method, the initial abstraction ratio should be locally verified, and the conditions for the application of the suggested value of 0.20 should be established.

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Section: Estimation Of the Initial Abstraction Ratio From Recorded Datamentioning

confidence: 99%

Variability of the Initial Abstraction Ratio in an Urban and an Agroforested Catchment

Krajewski

Sikorska‐Senoner

Hejduk

et al. 2020

Water

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“…This paper used a dataset which has less than 2000 samples, and therefore, the Shapiro-Wilk test was used. If the p-value is greater than 0.05, then the dataset is considered to be normally distributed [33]. Based on the normality tests (Table 4), FFB and ONI data distribution were determined to be non-normally distributed, and FFBI data distribution was normally distributed.…”

Section: Correlation Test Between Malaysian Oil Palm Yields and Oceanic Niño Index (Oni)mentioning

confidence: 99%

Impact of El Niño on Oil Palm Yield in Malaysia

et al. 2021

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Oil palm crop yield is sensitive to heat and drought. Therefore, El Niño events affect oil palm production, resulting in price fluctuations of crude palm oil due to global supply shortage. This study developed a new Fresh Fruit Bunch Index (FFBI) model based on the monthly oil palm fresh fruit bunch (FFB) yield data, which correlates directly with the Oceanic Niño Index (ONI) to model the impact of past El Niño events in Malaysia in terms of production and economic losses. FFBI is derived from Malaysian monthly FFB yields from January 1986 to July 2021 in the same way ONI is derived from monthly sea surface temperatures (SST). With FFBI model, the Malaysian oil palm yields are better correlated with ONI and have higher predictive ability. The descriptive and inferential statistical assessments show that the newly proposed FFBI time series model (adjusted R-squared = 0.9312 and residual median = 0.0051) has a better monthly oil palm yield predictive ability than the FFB model (adjusted R-squared = 0.8274 and residual median = 0.0077). The FFBI model also revealed an oil palm under yield concern of the Malaysian oil palm industry in the next thirty-month forecasted period from July 2021 to December 2023.

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“…Direct runoff is defined and may be relevant in the calibration of other parameters such as the initial abstractions relation (Ia = φS, being I a the initial abstraction, S the maximum potential retention, and φ a fraction of S). Although φ is often set equal to 0.2 (USDA NRCS 2004), several authors suggest that it varies from location to location (Ling et al 2019) and that such value may not be adequate for certain regions (Portela et al 2000) as it tends to overestimate the initial rainfall losses or abstractions. This suggests that the calibration of that parameter can be of relevance when applying CN based models.…”

Section: Inroductionmentioning

confidence: 99%

Sensitivity analysis of a simplified precipitation-runoff model to estimate water availability in Southern Portuguese watersheds

et al. 2021

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The water availability estimation in large regions is a relevant procedure to define broad water resources management policies but may prove difficult due to the lack of data and uncertainty to related regional hydrological and hydrogeological characterization. BALSEQ, a daily sequential water budget model, was applied in a set of twenty-two watersheds in southern Portugal, aiming to understand the possible relations between the model parameters and watershed characteristics that may allow assembling calibration functions for non-monitored watersheds. A sensitivity analysis was conducted by comparing BALSEQ results with measured surface flow, focusing specifically on the fraction of the potential maximum retention (φ) and the maximum amount of water available in the soil for evapotranspiration (AGUT) parameters and the underlying hydrogeological conceptual model that ultimately controls the surface-groundwater interactions. The overall results did not allow to identify clear relations that permit extrapolation to other regions without data as the sensitivity analysis procedures returned similar results for wide intervals of parameters for the majority of watersheds. The results confirmed that the groundwater discharge is an important component for the total measured surface flow and that the φ parameter should not be overlooked when calculating direct runoff. Poor adjustments between the model results and measured flow were observed in watersheds with a low Surface flow – Rainfall ratio.

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A Calibrated, Watershed-Specific SCS-CN Method: Application to Wangjiaqiao Watershed in the Three Gorges Area, China

Cited by 34 publications

References 39 publications

Variability of the Initial Abstraction Ratio in an Urban and an Agroforested Catchment

Variability of the Initial Abstraction Ratio in an Urban and an Agroforested Catchment

Impact of El Niño on Oil Palm Yield in Malaysia

Sensitivity analysis of a simplified precipitation-runoff model to estimate water availability in Southern Portuguese watersheds

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