scholarly journals BALANÇO HÍDRICO DA BACIA DO RIO BARIGÜI, PR

2005 ◽  
Vol 9 ◽  
Author(s):  
Heinz Dieter FILL ◽  
Irani Dos SANTOS ◽  
Cristovão FERNANDES ◽  
André TOCZECK ◽  
Mariana Fiorin De OLIVEIRA
Keyword(s):  
Water Balance ◽  
River Basin ◽  
Metropolitan Area ◽  
Meteorological Data ◽  
Demographic Data ◽  
Average Precipitation ◽  
Streamflow Data

O presente trabalho estabelece o balanço hídrico mensal da bacia do rio Barigüi para o período de 1985 a 2000, determinando para cada mês o armazenamento ativo de água na bacia. Foi utilizado um método de ajuste de evapotranspiração calculado com dados meteorológicos observados fora da bacia em análise. Para a evapotranspiração utilizaram-se estimativas médias de longo prazo da diferença entre precipitação e deflúvio, que foram ajustadas adotando a proporcionalidade entre armazenamento na bacia e evapotranspiração real. A contribuição do despejo de esgoto doméstico foi estimada a partir de dados demográficos sobre a população residente na bacia. Os fluxos de água subterrânea para dentro e fora da bacia foram desprezados. Os resultados obtidos foram coerentes com estudos similares realizados na mesma região e mostram uma precipitação média no período de 1.251 mm e um deflúvio médio de 751 mm com um coeficiente de escoamento médio de 0,50. Water balance of the Barigüi river basin in Paraná State - Brazil Abstract This paper consolidates the water balance of the Barigui River in the Metropolitan Area of Curitiba for the period of time 1985-2000, defining for each month the watershed storage. It is proposed an evapotranspiration approximation based upon meteorological data measured close to the watershed. Evapotranspiration is estimated using long term averages of the differences between precipitation and streamflow data adjusted by assuming that storage and real evapotranspiration are proportional. The sewage contribution was estimated by watershed demographic data. The results are consistent with similar studies and show an average precipitation amplitude of 1251 mm and streamflow of 751 mm over the period analyzed.

scholarly journals Inferring Soil Moisture Memory from Streamflow Observations Using a Simple Water Balance Model

2013 ◽  
Vol 14 (6) ◽  
pp. 1773-1790 ◽  
Author(s):  
Rene Orth ◽  
Randal D. Koster ◽  
Sonia I. Seneviratne
Keyword(s):  
Soil Moisture ◽  
Water Balance ◽  
Weather Forecasting ◽  
Water Balance Model ◽  
Balance Model ◽  
Catchment Scale ◽  
Spatially Distributed ◽  
Optimized Model ◽  
Streamflow Data

Abstract Soil moisture is known for its integrative behavior and resulting memory characteristics. Soil moisture anomalies can persist for weeks or even months into the future, making initial soil moisture a potentially important contributor to skill in weather forecasting. A major difficulty when investigating soil moisture and its memory using observations is the sparse availability of long-term measurements and their limited spatial representativeness. In contrast, there is an abundance of long-term streamflow measurements for catchments of various sizes across the world. The authors investigate in this study whether such streamflow measurements can be used to infer and characterize soil moisture memory in respective catchments. Their approach uses a simple water balance model in which evapotranspiration and runoff ratios are expressed as simple functions of soil moisture; optimized functions for the model are determined using streamflow observations, and the optimized model in turn provides information on soil moisture memory on the catchment scale. The validity of the approach is demonstrated with data from three heavily monitored catchments. The approach is then applied to streamflow data in several small catchments across Switzerland to obtain a spatially distributed description of soil moisture memory and to show how memory varies, for example, with altitude and topography.

scholarly journals Water-balance and groundwater-flow estimation for an arid environment: San Diego region, California

2012 ◽  
Vol 9 (3) ◽  
pp. 2717-2762 ◽  
Author(s):  
L. E. Flint ◽  
A. L. Flint ◽  
B. J. Stolp ◽  
W. R. Danskin
Keyword(s):  
Water Balance ◽  
Groundwater Flow ◽  
River Basin ◽  
Coastal Plain ◽  
San Diego ◽  
River Basins ◽  
Arid Environment ◽  
Groundwater Availability ◽  
The Impact

Abstract. The coastal-plain aquifer that underlies the San Diego City metropolitan area in southern California is a groundwater resource. The understanding of the region-wide water balance and the recharge of water from the high elevation mountains to the east needs to be improved to quantify the subsurface inflows to the coastal plain in order to develop the groundwater as a long term resource. This study is intended to enhance the conceptual understanding of the water balance and related recharge processes in this arid environment by developing a regional model of the San Diego region and all watersheds adjacent or draining to the coastal plain, including the Tijuana River basin. This model was used to quantify the various components of the water balance, including semi-quantitative estimates of subsurface groundwater flow to the coastal plain. Other approaches relying on independent data were used to test or constrain the scoping estimates of recharge and runoff, including a reconnaissance-level groundwater model of the San Diego River basin, one of three main rivers draining to the coastal plain. Estimates of subsurface flow delivered to the coastal plain from the river basins ranged from 12.3 to 28.8 million m3 yr−1 from the San Diego River basin for the calibration period (1982–2009) to 48.8 million m3 yr−1 from all major river basins for the entire coastal plain for the long-term period 1940–2009. This range of scoping estimates represents the impact of climatic variability and realistically bounds the likely groundwater availability, while falling well within the variable estimates of regional recharge. However, the scarcity of physical and hydrologic data in this region hinders the exercise to narrow the range and reduce the uncertainty.

Analysis of long-term water balance in the source area of the Yellow River basin

2008 ◽  
Vol 22 (11) ◽  
pp. 1618-1629 ◽  
Author(s):  
Yoshinobu Sato ◽  
Xieyao Ma ◽  
Jianqing Xu ◽  
Masayuki Matsuoka ◽  
Hongxing Zheng ◽  
...  
Keyword(s):  
Water Balance ◽  
River Basin ◽  
Yellow River ◽  
Source Area ◽  
Yellow River Basin ◽  
The Yellow River ◽  
The Yellow River Basin

A long-term annual water balance analysis of the Araçuaí River Basin, Brazil

2010 ◽  
Vol 20 (6) ◽  
pp. 938-946 ◽  
Author(s):  
Mariangela Garcia Praça Leite ◽  
Maria Augusta Gonçalves Fujaco
Keyword(s):  
Water Balance ◽  
River Basin ◽  
Annual Water Balance ◽  
Balance Analysis ◽  
Annual Water

scholarly journals Analysis of the streamflow extremes and long term water balance in Liguria Region of Italy using a cloud permitting grid spacing reanalysis dataset

2017 ◽  
Author(s):  
Francesco Silvestro ◽  
Antonio Parodi ◽  
Lorenzo Campo ◽  
Luca Ferraris
Keyword(s):  
Water Balance ◽  
Bias Correction ◽  
Meteorological Data ◽  
Methodological Approach ◽  
Western Mediterranean ◽  
Distributed Hydrological Model ◽  
Grid Spacing ◽  
Reanalysis Dataset ◽  
Correction Technique

Abstract. Characterizing the hydrometeorological extremes, both in terms of rainfall and streamflow, as well as the estimation of long term water balance indicators are essential issues for the flood alert and water management services which are in charged to provide environmental monitoring. In recent years simulations carried out with meteorological models are getting available at increasing spatial and temporal resolutions (both historical reanalysis and near real-time hindcast studies); these meteorological data sets can thus be used as input in distributed hydrological models to drive long-period hydrological reanalysis. In this work we adopted a high resolution meteorological reanalysis dataset that covers the whole Europe territory for the period between 1979 and 2008, with 4 km grid spacing and 3 hours of time resolution. This reanalysis dataset is used together with a rainfall downscaling algorithm and a rainfall bias correction technique in order to produce input to a continuous and distributed hydrological model; the resulting modelling chain allows to produce long time series of distributed hydrological variables, inter alia streamflows and evapotranspiration, in the Liguria Region of Italy territory, located in the Northern part of Italy, and among the western Mediterranean areas mostly impacted by severe hydro-meteorological events. The observations available from the local rain gauges network were compared with the rainfall estimated by the dataset, and then used to perform a bias correction with the aim of matching the observed climatology. An analysis of the annual maxima discharges derived by simulated streamflow timeseries was carried out, by comparing them with observed discharge where available and using as benchmark a regional statistical analyses elsewhere. Eventually an investigation of long term water balance was done by comparing simulated runoff coefficients with available estimations based on observations. The study highlights both limits and potentialities of the considered framework as a methodological approach to undertake hydrological studies in any point of a considered study area mainly characterized by a collection of small basins, thus allowing to overcome the limits of observations which are punctual and in some cases not fully reliable.

Physically Based Modeling of the Long-Term Dynamics of Water Balance and Snow Water Storage Components in the Ob–Irtysh River Basin

2019 ◽  
Vol 46 (4) ◽  
pp. 493-503 ◽  
Author(s):  
E. M. Gusev ◽  
O. N. Nasonova ◽  
E. A. Shurkhno ◽  
L. Ya. Dzhogan ◽  
G. V. Aizel’
Keyword(s):  
Water Balance ◽  
River Basin ◽  
Water Storage ◽  
Physically Based Modeling ◽  
Physically Based ◽  
Snow Water ◽  
Irtysh River
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