scholarly journals Corrigendum to "Uncertainty analysis of a spatially explicit annual water-balance model: case study of the Cape Fear basin, North Carolina" published in Hydrol. Earth Syst. Sci., 19, 839–853, 2015

2015 ◽  
Vol 19 (2) ◽  
pp. 855-855
Author(s):  
P. Hamel ◽  
A. J. Guswa
Keyword(s):  
North Carolina ◽  
Water Balance ◽  
Uncertainty Analysis ◽  
Balance Model ◽  
Spatially Explicit ◽  
Model Case ◽  
Annual Water Balance ◽  
Cape Fear ◽  
Annual Water

scholarly journals Uncertainty analysis of a spatially explicit annual water-balance model: case study of the Cape Fear basin, North Carolina

2015 ◽  
Vol 19 (2) ◽  
pp. 839-853 ◽  
Author(s):  
P. Hamel ◽  
A. J. Guswa
Keyword(s):  
Land Use ◽  
North Carolina ◽  
Scale Model ◽  
Balance Model ◽  
Water Yield ◽  
Spatially Explicit ◽  
Model Predictions ◽  
Cape Fear ◽  
Annual Water

Abstract. There is an increasing demand for assessment of water provisioning ecosystem services. While simple models with low data and expertise requirements are attractive, their use as decision-aid tools should be supported by uncertainty characterization. We assessed the performance of the InVEST annual water yield model, a popular tool for ecosystem service assessment based on the Budyko hydrological framework. Our study involved the comparison of 10 subcatchments ranging in size and land-use configuration, in the Cape Fear basin, North Carolina. We analyzed the model sensitivity to climate variables and input parameters, and the structural error associated with the use of the Budyko framework, a lumped (catchment-scale) model theory, in a spatially explicit way. Comparison of model predictions with observations and with the lumped model predictions confirmed that the InVEST model is able to represent differences in land uses and therefore in the spatial distribution of water provisioning services. Our results emphasize the effect of climate input errors, especially annual precipitation, and errors in the ecohydrological parameter Z, which are both comparable to the model structure uncertainties. Our case study supports the use of the model for predicting land-use change effect on water provisioning, although its use for identifying areas of high water yield will be influenced by precipitation errors. While some results are context-specific, our study provides general insights and methods to help identify the regions and decision contexts where the model predictions may be used with confidence.

scholarly journals Uncertainty analysis of a spatially-explicit annual water-balance model: case study of the Cape Fear catchment, NC

2014 ◽  
Vol 11 (10) ◽  
pp. 11001-11036 ◽  
Author(s):  
P. Hamel ◽  
A. J. Guswa
Keyword(s):  
Land Use ◽  
Water Balance ◽  
Water Balance Model ◽  
Balance Model ◽  
Water Yield ◽  
Model Structure ◽  
Model Predictions ◽  
Cape Fear ◽  
Annual Water

Abstract. There is an increasing demand for assessment of water provisioning ecosystem services. While simple models with low data and expertise requirements are attractive, their use as decision-aid tools should be supported by uncertainty characterization. We assessed the performance of the InVEST annual water yield model, a popular tool for ecosystem service assessment based on the Budyko framework. Our study involved the comparison of ten subcatchments in the Cape Fear watershed, NC, ranging in size and land use configuration. We analyzed the model sensitivity to the eco-hydrological parameters and the effect of extrapolating a lumped theory to a fully distributed model. Comparison of the model predictions with observations and with a lumped water balance model confirmed that the model is able to represent differences in land uses. Our results also emphasize the effect of climate input errors, especially annual precipitation, and errors in the eco-hydrological parameter Z, which are both comparable to the model structure uncertainties. In practice, our case study supports the use of the model for predicting land use change effect on water provisioning, although its use for identifying areas of high water yield will be influenced by precipitation errors. While the results are inherently local, analysis of the model structure suggests that many insights from this study will hold globally. Further work toward characterization of uncertainties in such simple models will help identify the regions and decision contexts where the model predictions may be used with confidence.

scholarly journals Seasonal and Annual Water Balance of Agricultural Land in Tokachi, Hokkaido, Japan

2009 ◽  
Vol 65 (1) ◽  
pp. 69-76 ◽  
Author(s):  
Tomoyoshi HIROTA ◽  
Yukiyoshi IWATA ◽  
Manabu NEMOTO ◽  
Takahiro HAMASAKI ◽  
Ryoji SAMESHIMA ◽  
...  
Keyword(s):  
Water Balance ◽  
Agricultural Land ◽  
Annual Water Balance ◽  
Annual Water

Effects of climate change and human interactions on water balance dynamics in the River Vistula basin

2021 ◽  
Author(s):  
Renata Romanowicz ◽  
Emilia Karamuz ◽  
Jaroslaw Napiorkowski ◽  
Tesfaye Senbeta
Keyword(s):  
Water Balance ◽  
Groundwater Level ◽  
Structural Model ◽  
Human Impacts ◽  
Management Scenarios ◽  
Annual Water Balance ◽  
Catchment Size ◽  
Dryness Index ◽  
Water Balance Models ◽  
Annual Water

<div> <p>Water balance modelling is often applied in studies of climate and human impacts on water resources. Annual water balance is usually derived based on precipitation, discharge and temperature observations under an assumption of negligible changes in annual water storage in a catchment. However, that assumption might be violated during very dry or very wet years. In this study we apply groundwater level measurements to improve water balance modelling in nine sub-catchments of the River Vistula basin starting from the river sources downstream. Annual and inter-annual water balance is studied using a Budyko framework to assess actual evapotranspiration and total water supply. We apply the concept of effective precipitation to account for possible losses due to water interception by vegetation. Generalised Likelihood Uncertainty Estimation GLUE is used to account for parameter and structural model uncertainty, together with the application of eight Budyko-type equations. Seasonal water balance models show large errors for winter seasons while summer and annual water balance models follow the Budyko framework. The dryness index is much smaller in winter than in summer for all sub-catchments. The spatial variability of water balance modelling errors indicate an increasing uncertainty of model predictions with an increase in catchment size. The results show that the added information on storage changes in the catchments provided by groundwater level observations largely improves model accuracy. The results also indicate the need to model groundwater level variability depending on external factors such as precipitation and evapotranspiration and human interventions. The modelling tools developed will be used to assess future water balance in the River Vistula basin under different water management scenarios and climate variability.</p> </div>

Implications to stormwater management as a result of lot scale rainwater tank systems: a case study in Western Sydney, Australia

2012 ◽  
Vol 65 (8) ◽  
pp. 1475-1482 ◽  
Author(s):  
M. van der Sterren ◽  
A. Rahman ◽  
G. R. Dennis
Keyword(s):  
Water Balance ◽  
Water Use ◽  
City Council ◽  
Balance Model ◽  
South Wales ◽  
Rainwater Tank ◽  
Discharge Volume ◽  
Water Use Pattern ◽  
Rainwater Tanks

Rainwater tanks are increasingly adopted in Australia to reduce potable water demand and are perceived to reduce the volume of stormwater discharge from developments. This paper investigates the water balance of rainwater tanks, in particular the possible impacts these tanks could have in controlling the stormwater discharge volume. The study collected water quantity data from two sites in the Hawkesbury City Council area, New South Wales, Australia and utilised the collected data in a simple water balance model to assess the effectiveness of rainwater tanks in reducing the stormwater discharge volume. The results indicate that a significant reduction in discharge volume from a lot scale development can be achieved if the rainwater tank is connected to multiple end-uses, but is minimal when using irrigation alone. In addition, the commonly used volumetric runoff coefficient of 0.9 was found to over-estimate the runoff from the roof areas and to thereby under-estimate the available volume within the rainwater tanks for retention or detention. Also, sole reliance on the water in the rainwater tanks can make the users aware of their water use pattern and water availability, resulting in significant reductions in water use as the supply dwindles, through self-imposed water restrictions.

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