Organized variability of surface runoff responses across neighboring hillslopes in Iowa

Chen, Bo; Krajewski, Witold F.; Zhou, Xiaobo; Helmers, Matthew J.

doi:10.1016/j.jhydrol.2015.01.038

Cited by 3 publications

(14 citation statements)

References 56 publications

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“…While it is difficult to isolate this effect in the current study, Chen et al . () found a weak relationship between the watershed size and magnitude of response for the Basswood sites. Their finding was, however, not consistent across all events.…”

Section: Discussionmentioning

confidence: 97%

“…(), results presented were not slope corrected. It is also possible that slope length may be effecting CN values to some degree, but studies indicate that slope effects may be negligible considering the range of slope and slope lengths of these study plots (Chen et al ., ).…”

Section: Discussionmentioning

confidence: 97%

“…Chen et al . () found a low scaling factor for Basswood 1 with a relatively narrow range of values for 72 events during the 2008‐2011 period. This indicates that the magnitude of runoff produced by Basswood 1 was not similar to the runoff produced by Basswood 6 for these 72 events.…”

Section: Discussionmentioning

confidence: 99%

“…This conclusion is supported by data analyses conducted by Chen et al . () for these sites, using the 2008‐2011 period. In their study, a scaling factor was used to analyze the similarity of the runoff magnitude of the hydrologic responses between each of the plots and hillslope Basswood 6.…”

Section: Discussionmentioning

confidence: 99%

“…() correspond to the suspected complacent relationship observed in our study for Basswood 1, suggesting that the CN for this basin might be erroneous. Watersheds Basswood 2‐5 showed a higher average scaling factor (Chen et al ., ) and followed standard behavior in this study; we therefore have more confidence in those values.…”

Section: Discussionmentioning

confidence: 99%

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Effects of Spatial Distribution of Prairie Vegetation in an Agricultural Landscape on Curve Number Values

Dziubanski

Franz

Helmers

2017

J American Water Resour Assoc

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The curve number (CN) method is used to calculate runoff in many hydrologic models, including the Soil and Water Assessment Tool (SWAT). The CN method does not account for the spatial distribution of land cover types, an important factor controlling runoff patterns. The objective of this study was to empirically derive CN values that reflect the strategic placement of native prairie vegetation (NPV) within row crop agricultural landscapes. CNs were derived using precipitation and runoff data from a seven‐year period for 14 small watersheds in Iowa. The watersheds were planted with varying amounts of NPV located in different watershed positions. The least squares and asymptotic least squares methods (LSM) were used to derive CNs using an initial abstraction coefficient (λ) of 0.2 and 0.05. The CNs were verified using leave‐one‐out cross‐validation and adjustment for antecedent moisture conditions (AMC) was tested. The asymptotic method produced CN values for watersheds with NPV treatment that were 8.9 and 14.7% lower than watersheds with 100% row crop at λ = 0.2 and λ = 0.05, respectively. The derived CNs produced Nash‐Sutcliffe efficiency values ranging from 0.4 to 0.7 during validation. Our analyses show the CNs verified best for the asymptotic LSM, when using λ of 0.05 and adjusting for AMC. Further, comparison of derived CNs against an area weighted CN indicated that the placement of vegetation does impact the CN value. Editor's note: This paper is part of the featured series on SWAT Applications for Emerging Hydrologic and Water Quality Challenges. See the February 2017 issue for the introduction and background to the series.

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Section: Discussionmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Effects of Spatial Distribution of Prairie Vegetation in an Agricultural Landscape on Curve Number Values

Dziubanski

Franz

Helmers

2017

J American Water Resour Assoc

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Inferring changes in water cycle dynamics of intensively managed landscapes via the theory of time‐variant travel time distributions

et al. 2016

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Climatic trends and anthropogenic changes in land cover and land use are impacting the hydrology and water quality of streams at the field, watershed, and regional scales in complex ways. In poorly drained agricultural landscapes, subsurface drainage systems have been successful in increasing crop productivity by removing excess soil moisture. However, their hydroecological consequences are still debated in view of the observed increased concentrations of nitrate, phosphorus, and pesticides in many streams, as well as altered runoff volumes and timing. In this study, we employ the recently developed theory of time‐variant travel time distributions within the StorAge Selection function framework to quantify changes in water cycle dynamics resulting from the combined climate and land use changes. Our results from analysis of a subbasin in the Minnesota River Basin indicate a significant decrease in the mean travel time of water in the shallow subsurface layer during the growing season under current conditions compared to the pre‐1970s conditions. We also find highly damped year‐to‐year fluctuations in the mean travel time, which we attribute to the “homogenization” of the hydrologic response due to artificial drainage. The dependence of the mean travel time on the spatial heterogeneity of some soil characteristics as well as on the basin scale is further explored via numerical experiments. Simulations indicate that the mean travel time is independent of scale for spatial scales larger than approximately 200 km2, suggesting that hydrologic data from larger basins may be used to infer the average of smaller‐scale‐driven changes in water cycle dynamics.

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RBFNN Versus Empirical Models for Lag Time Prediction in Tropical Humid Rivers

Seyam¹,

Othman

El-Shafie

2016

Water Resour Manage

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Organized variability of surface runoff responses across neighboring hillslopes in Iowa

Cited by 3 publications

References 56 publications

Effects of Spatial Distribution of Prairie Vegetation in an Agricultural Landscape on Curve Number Values

Effects of Spatial Distribution of Prairie Vegetation in an Agricultural Landscape on Curve Number Values

Inferring changes in water cycle dynamics of intensively managed landscapes via the theory of time‐variant travel time distributions

RBFNN Versus Empirical Models for Lag Time Prediction in Tropical Humid Rivers

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