The best relationship between lumped hydrograph parameters and urbanized factors

Cheng, Shin-jen

doi:10.1007/s11069-010-9596-4

Cited by 9 publications

(5 citation statements)

References 30 publications

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“…Furthermore, the discrete values of overland division parameter K o were related separately to the imperviousness percentage of each corresponding division. The natural logarithmic form of regression analysis was used to identify any salient relationships that may be suitable for further study (Cheng 2011b). …”

Section: Correlativity Of Parameter Behaviour and Urbanization Variablesmentioning

confidence: 99%

Effects of urbanization variables on model parameters for watershed divisions

Chen

Chuang

Cheng

2014

Hydrological Sciences Journal

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A semi-distributed model with a parallel connection was applied to examine the effects of urbanization variables. Data were obtained from watershed divisions that were characterized by various degrees of urbanization. The mean rainfall was calculated using the kriging method. The model inputs were obtained by subtracting mean rainfall from Ф-index values, based on the spatially uniform loss assumption. Regression analysis was applied to determine the relationship between the parameters of 64 calibrations and urbanization variables among the divisions. The results showed that overland parameters produced more consistent change in response to imperviousness than to population. Conversely, the channel parameter was unaffected by changes in urbanization. The verification results of 46 cases showed that power linkage was a potential option for linking division parameters with the corresponding imperviousness based on four evaluation criteria. The changes in imperviousness on overland parameters show the hydrological effects of division urbanizations.

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Section: Correlativity Of Parameter Behaviour and Urbanization Variablesmentioning

confidence: 99%

Effects of urbanization variables on model parameters for watershed divisions

Chen

Chuang

Cheng

2014

Hydrological Sciences Journal

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“…Values of exponent "n" were obtained for each of the 4 sub-basins of Okhunwan, Oyanmi, Owan, and Osse as n 1 , n n 2 , n 3 , and n 4, respectively. Mean value (n) was obtained for the entire basin of Benin-Owena River Basin Development Authority (BORBDA) area by averaging the obtained exponent "n" of the 4 sub-basins utilizing lumped modeling technique, which considers a catchment as a single entity for computations and permit watershed parameters and variables to be averaged over this unit [38,39]. Therefore, mean − X value can be obtained from Eq.…”

Section: Catchment-area Ratio Modelmentioning

confidence: 99%

“…The spatial distribution of streamflow obtained using the NRCS-CN model and application of RS and GIS techniques is presented for Okhunwan, Oyanmi, Owan, and Osse sub-basin as spatial discharge map in Figs. 4, 5, 6 and 7 to enable comprehension of the spatial distributions of streamflow [38,39].…”

Section: Spatial Patterns Of Estimated Streamflowmentioning

confidence: 99%

Exponent determination in a poorly gauged basin system in Nigeria based on flow characteristics investigation and regionalization method

Fasipe¹,

Izinyon

2021

SN Appl. Sci.

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In this study, a method for estimating the exponent “n” values of the catchment-area equations of four sub-basins within the poorly gauged Benin-Owena River Basin Development Authority (BORBDA) in Nigeria is presented to enable the estimation of flows at ungauged sites within the basin and the determination of small hydropower (SHP) potential at different locations in each sub-basin and the entire basin. Optimal prediction of streamflow characteristics in poorly gauged basin requires developing a methodology for extrapolation of data from gauged to ungauged sites within the basin. Four sub-catchments of BORBDA, a poorly gauged basin in Nigeria, were investigated using Remote Sensing (RS), Geographic Information System (GIS), statistical techniques, and Natural Resources Conservation Service-Curve Number (NRCS-CN) hydrological model. Discharge values at gauged sites (Qg) were obtained from recorded discharge values collected for 12 months at an established gauging station in each sub-basin. RS and GIS techniques were used to develop classification maps and obtain crucial data like curve number (CN), elevation, Hydrologic Soil Group (HSG), rainfall intensity, slope, area of gauged and ungauged required for evaluating spatial discharge (ungauged) utilizing NRCS-CN model. From the established model for each sub-basin, exponent “n” in the relationship between discharge and catchment area was obtained to be 0.23, 0.41, 0.71, and 0.74. Using the lumped modeling approach, which considers a watershed as a single unit for computation, where watershed parameters and variables were to be averaged produced “n” = 0.52 for BORBDA area, which is within the range of 0.5–0.85 suggested by previous researchers. Obtained BORBDA exponent “n” was validated for use in the entire basin through soil homogeneity test by generating BORBDA soil map which confirms the four sub-basins investigated share similar HSG A, B, and D with BORBDA. The exponent “n” value is useful for predicting flows in ungauged parts of the basin. The exponent “n” value obtained for the basin is helpful in the assessment of discharge and determination of SHP potential at different locations within the poorly gauged BORBDA basin, and the dissemination of the research findings will find practical use and guide to practicing hydrologists in Nigeria and locations around the world with similar challenges of poorly gauged basins particularly Africa and other developing countries.

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“…Hydrologists are concerned that changing imperviousness might alter the infiltration mechanism in the hydrological cycle and change watershed response (Legesse et al 2003;Hagg et al 2007;Ackerman and Stein 2008;Cheng et al 2010;Cheng 2011;Chen et al 2014;Zhang and Shuster 2014). Various runoff hydrographs are represented by different characteristics related to spatial rainfall and outlet-streamflow observations over time (Cheng et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Effects of Spatial-Temporal Imperviousness on Hydrological Responses of Various Areas in an Urbanized Watershed

Wang

Yu-ji

Cheng

et al. 2015

Water Resour Manage

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This study examined changes in the division responses caused by imperviousness changes in time. Each response is represented by an instantaneous unit hydrograph with storage parameters. The critical work in this study was to ensure that the calibrated storage coefficients reasonably respond to their corresponding imperviousness. Estimating the spatially different mean rainfall of each division by adopting traditional methods (e.g., the Thiessen polygon method) may be difficult because of the lack of raingauge data in a division. The storages cannot be measured directly and were generally calibrated using an optimization method with parameter bounds. The upper bounds, which imply an ultimate of each corresponding physical property, are particularly difficult to determine directly. This study applied block Kriging and nonlinear programming to estimate spatiotemporal effective rainfall. An approach was proposed to determine suitable upper bounds for each storage parameter in a calibration. An examination of the calibrated storages at three stages revealed that the values resulting from a calibration with suitable bounds are more reliable compared with those based on a calibration without bound limitation. Finally, we concluded that (1) suitable bounds are essential for ensuring that significant calibrated storages can be applied to achieve a favorable regression result; (2) the analytic results indicate that large changes in imperviousness in downstream areas reduced the time to peak by at least 15 %, increasing the peak discharge by Water Resour Manage (2015) 29:3551-3567 nearly 40 %; and (3) hydrograph characteristics of the watershed outlet reduced the time to peak by approximately 10 %, increasing the peak discharge by nearly 15 %.

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The best relationship between lumped hydrograph parameters and urbanized factors

Cited by 9 publications

References 30 publications

Effects of urbanization variables on model parameters for watershed divisions

Effects of urbanization variables on model parameters for watershed divisions

Exponent determination in a poorly gauged basin system in Nigeria based on flow characteristics investigation and regionalization method

Effects of Spatial-Temporal Imperviousness on Hydrological Responses of Various Areas in an Urbanized Watershed

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