scholarly journals Effects of rainfall seasonality and soil moisture capacity on mean annual water balance for Australian catchments

2005 ◽  
Vol 41 (6) ◽  
Author(s):  
N. J. Potter ◽  
L. Zhang ◽  
P. C. D. Milly ◽  
T. A. McMahon ◽  
A. J. Jakeman
Keyword(s):  
Soil Moisture ◽  
Water Balance ◽  
Moisture Capacity ◽  
Rainfall Seasonality ◽  
Annual Water Balance ◽  
Annual Water

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>

scholarly journals Long-term annual water balance analysis of the Lena River

2005 ◽  
Vol 48 (1-3) ◽  
pp. 84-95 ◽  
Author(s):  
S BEREZOVSKAYA ◽  
D YANG ◽  
L HINZMAN
Keyword(s):  
Water Balance ◽  
Lena River ◽  
Annual Water Balance ◽  
Balance Analysis ◽  
Annual Water

Annual water balance and seasonality of evapotranspiration in a Bornean tropical rainforest

2005 ◽  
Vol 128 (1-2) ◽  
pp. 81-92 ◽  
Author(s):  
Tomo’omi Kumagai ◽  
Taku M. Saitoh ◽  
Yoshinobu Sato ◽  
Hiroshi Takahashi ◽  
Odair J. Manfroi ◽  
...  
Keyword(s):  
Water Balance ◽  
Tropical Rainforest ◽  
Annual Water Balance ◽  
Annual Water

Climate change impact on water balance of Lake Balaton

2008 ◽  
Vol 58 (9) ◽  
pp. 1865-1869 ◽  
Author(s):  
Béla Nováky
Keyword(s):  
Climate Change ◽  
Water Balance ◽  
Lake Balaton ◽  
Climate Scenarios ◽  
Considerable Decrease ◽  
Annual Water Balance ◽  
Water Recharge ◽  
Change Impact ◽  
Annual Water ◽  
Closed Lake

Impact of climate change on average annual water balance of Lake Balaton was examined under different climate scenarios. Increase in annual temperature by 1.5°C and decrease in annual precipitation by 5% are likely to lead to considerable decrease in water recharge of lake. If an increase in annual temperature by 2.8°C is coupled with a decrease in precipitation by 10%, Lake Balaton could turn into a closed lake without outflow.

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