HYSOGs250m, global gridded hydrologic soil groups for curve-number-based runoff modeling

Ross, C. A.; Prihodko, L.; Anchang, J.; Kumar, Sundeep; Ji, Wenjie; Hanan, Niall P.

doi:10.1038/sdata.2018.91

Cited by 140 publications

(96 citation statements)

References 16 publications

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“…The satellite imaging technique and geographic information system (GIS) were incorporated with the conventional SCS-CN method for studies but no attempt was reported to calibrate the primary SCS-CN rainfall-runoff framework with statistics in recent years. Recently, two groups of researchers developed a globally gridded CN dataset at 250 m spatial resolution [23,24]. However, the 250 m resolution dataset only represents general patterns of soil runoff potential appropriate for regional to global-scale analyses and may not capture the local variance suitable for fine-scale applications.…”

Section: Introductionmentioning

confidence: 99%

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

Ling

Yusop

Yap

et al. 2019

Water

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The Soil Conservation Service curve number (SCS-CN) method is one of the most popular methods used to compute runoff amount due to its few input parameters. However, recent studies challenged the inconsistent runoff results obtained by the method which set the initial abstraction ratio λ as 0.20. This paper developed a watershed-specific SCS-CN calibration method using non-parametric inferential statistics with rainfall-runoff data pairs. The proposed method first analyzed the data and generated confidence intervals to determine the optimum values for SCS-CN model calibration. Subsequently, the runoff depth and curve number were calculated. The proposed method outperformed the runoff prediction accuracy of the asymptotic curve number fitting method, linear regression model and the conventional SCS-CN model with the highest Nash-Sutcliffe index value of 0.825, the lowest residual sum of squares value of 133.04 and the lowest prediction error. It reduced the residual sum of squares by 66% and the model prediction errors by 96% when compared to the conventional SCS-CN model. The estimated curve number was 72.28, with the confidence interval ranging from 62.06 to 78.00 at a 0.01 confidence interval level for the Wangjiaqiao watershed in China.

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Section: Introductionmentioning

confidence: 99%

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

Ling

Yusop

Yap

et al. 2019

Water

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“…The soil hydrologic group of the studied basin was classified as (HSG-B: moderately low runoff potential where 50-90% sand and 10-20% clay) according to Global Hydrologic Soil Groups. These data are accessed through the Oak Ridge National Laboratory (ORNL DAAC 2017) Distributed Active Archive Center (DAAC) for Curve Number-Based Runoff Modeling by using the Geospatial Data Visualization tool (Ross et al 2018).…”

Section: Estimation Of Surface Runoffmentioning

confidence: 99%

Flash floods mitigation and assessment of groundwater possibilities using remote sensing and GIS applications: Sharm El Sheikh, South Sinai, Egypt

Yousif

Hussien

2020

Bull Natl Res Cent

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Background: In arid and hyper arid regions, flash floods directly affect human life and ecosystem balance through soil erosion and sediment exchange between different watersheds. The present study provides an integrated approach using remote sensing and geophysical data, multiple thematic layers, and field investigations to mitigate the flash flood hazard and explore the groundwater potentiality in Sharm El Sheikh area, Egypt, where devastating flash flood hazards and shortage in water supply are critical problems against the development of the touristic city. Results: A new flood hazard index (FHI) is introduced using the morphometric parameters and multiple thematic layers for the investigated hydrographic basins. The FHI ranges between 55.2 (low) and 73 (very high). The resulted surface runoff from a single event (59 mm/day) reached up to 7.96 mm while the total runoff volume reached up to 20.23 (10 6 ) m 3 representing about 13.5 % of the total rainfall. Hydrogeologically, the Miocene sediments represent the main aquifer, which is cut by four recognized faults providing opportunities for enhanced groundwater recharge. The integrated geophysical datasets (aeromagnetic and vertical electrical sounding) and borehole data indicate that the subsurface sedimentary succession reaches up to 200 m of Quaternary and Miocene sediments. Conclusions:The present study introduces a comprehensive system to mitigate floods and increase the opportunity of groundwater recharge that could protect and enhance the environment under arid conditions. The presented approach can be applied in any arid and hyper arid regions with the same conditions.

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“…According to the classification based on soil texture, seven types of soils are found in the Vishwamitri watershed ( Figure 10) (typically contains more than 90% sand and less than 10% clay), HSG-B has moderately low runoff potential (typically contains between 10 to 20% clay and 50 to 90% sand), HSG-C has moderately high runoff potential (typically contains between 20 to 40% clay and less than 50% sand) and HSG-D has high runoff potential (typically contains more than 40% clay and less than 50% sand) Ross et al (2018). (2014)).…”

Section: Soil Texturementioning

confidence: 99%

GIS-based multi criteria decision making method to identify potential runoff storage zones within watershed

Rana

Suryanarayana

2020

Annals of GIS

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The objective of this study was to identify potential runoff storage zones based on the various physical characteristics of the Vishwamitri watershed using a GIS-based conceptual framework that combines through analytic hierarchy process using multi criteria decision-making method. The conceptual framework will help to identify potential runoff storage zones for water storage sites based on the various physical characteristics (rainfall, slope, land use/land cover, height above the nearest drainage, stream order, curve number, topographic wetness index) of the watershed. It was found out that 17% of the area is optimally suitable, 33.2% of the area is moderately suitable, 33.1% of the area is marginally suitable and 18.7% of the area is not suitable for water storage zones/ structures. Results will help concerned authorities in the proficient arrangement and execution of water-related plans and schemes, improve water shortage, reduce dependability on ground water and ensure sustainable water availability for local and agricultural purposes in the study area. ARTICLE HISTORY

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HYSOGs250m, global gridded hydrologic soil groups for curve-number-based runoff modeling

Cited by 140 publications

References 16 publications

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

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

Flash floods mitigation and assessment of groundwater possibilities using remote sensing and GIS applications: Sharm El Sheikh, South Sinai, Egypt

GIS-based multi criteria decision making method to identify potential runoff storage zones within watershed

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