Improving methods for estimating small reservoir evaporation in the Brazilian Savanna

Althoff, Daniel; Silva, Demétrius David da; Bazame, Helizani Couto

doi:10.1016/j.agwat.2019.01.028

Cited by 29 publications

(11 citation statements)

References 44 publications

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“…It is also interesting to mention that small reservoirs play an important role in supporting the local economy and are mainly used for supplying of water for irrigation and cattle watering (Althoff et al 2019). In the Preto River Basin, a survey conducted by Rodrigues et al (2012) identi ed the presence of 147 of these small dams, with a surface area between 1 and 50 ha.…”

Section: Trend Analysismentioning

confidence: 99%

Analysis of Flow Behavior as Influenced by Reservoir with Flow Regularization

Generoso

Silva

Amorim

et al. 2022

Water Resour Manage

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Understanding the behavior of reservoirs with ow regularization formed by hydroelectric power plants is essential for assessing water availability and, consequently, for planning the use of water resources, especially in downstream positions. The operationalization of reservoirs can be in uenced both by climatic characteristics and by the consequences resulting from human actions in the basin. Therefore, the objective of this study was to evaluate the existing relationships between the in ows and out ows of a reservoir, as well as with the conventional stream ow gauge stations downstream of the dam. In addition, the aim was also to evaluate trends in the behavior of minimum, average and maximum ows, in the post-operation period, considering the characteristics of rainfall and irrigation in the region. The results indicated that reservoir operationalization is strongly related to the behavior of in ows, especially when considering analyses in quarterly periods, also affecting the ow in the stream ow gauge stations downstream. Moreover, a reduction was also veri ed in all variables analyzed related to in ows and out ows, as well as in the stations downstream of the dam, except for the maximum ow in the station farthest from the reservoir, which showed a stationary behavior. The reductions observed in the ows may be related to the increase of almost three times in the area irrigated by center pivot in the basin; however, the same cannot be said in relation to the annual rainfall regime of the region, since it showed a stationary behavior for most stations evaluated.

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Section: Trend Analysismentioning

confidence: 99%

Analysis of Flow Behavior as Influenced by Reservoir with Flow Regularization

Generoso

Silva

Amorim

et al. 2022

Water Resour Manage

Self Cite

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“…Considering that the two above-mentioned methods (Penman with a distant weather station and the water balance method) are often used to make decisions regarding water management in the northeast of Brazil due to the scarcity of data in semi -arid regions (ALAZARDA et al 2015), the present study demonstrates the importance of having more robust methods for estimating rates of evaporation (ALTHOFF et al 2019), such as remote sensing (LOSGEDARAGH; RAHIMZADEGAN, 2018). It is also necessary to assess the importance of understanding evaporation in view of climate change scenarios (FIROOZI; ROOZBAHANI; BAVANI MASSAH, 2020) and the increased pollution of surface reservoirs (MESQUITA et al 2020).…”

Section: Vyelas Modelmentioning

confidence: 99%

Different Methods for Measuring Evaporation in a Tropical Reservoir: The Case of the Gavião Reservoir in the State of Ceará

Feitosa

Araújo

Barros³

2021

Rev. Caatinga

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Studies that allow the estimation of evaporation in reservoirs represent an important action for the adequate management of water resources. Thus, this study aimed at estimating evaporation in the tropical reservoir Gavião, located in the municipality of Pacatuba, Ceará, Brazil, and to verify the effect of these estimates on the water availability of the reservoir using the VYELAS model. The results of Penman's methods and the Water Balance were compared with the values obtained from the hydrostatic pressure sensor, the most accurate. It was possible to verify that, in relation to the pressure difference method, all the conventional methods overestimate the evaporation in the reservoir. The method that presented estimates closer to those obtained by the pressure difference sensor was that of Penman, based on data from an onboard station in the lake, with a deviation of only 12%. The method of water balance also presented reliable results for monthly average. The two methods usually accepted in the evaporation calculation (water balance ignoring the infiltration; and Penman's method for meteorological station data on land distant from the lake) presented the most disturbing evaporation values significantly altering the water availability. The results of the VYELAS model showed that evaporated flows, estimated by several methods, exceeded the reference flow by up to 83%. The results demonstrate the great sensitivity of the estimate of water availability in relation to the evaporation rate in the lake.

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“…Fakhreddine estimated daily evaporation from poorly monitored lakes using limited meteorological data at Qaraoun dam [7]. Althoff et al wanted to improve methods for estimating small reservoir evaporation in the Brazilian savanna region [8]. Other approaches can be examined from referenced studies [9][10][11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Estimating Daily Pan Evaporation Data using Adaptive Neuro Fuzzy Inference System: Case Study within Van Local Station-Turkey

Üçler

Kutlu

2021

Politeknik Dergisi

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The aim of this study is to model the evaporation data, which is one of the important parameters of the hydrological cycle, by using the Adaptive Neuro Fuzzy Inference System (ANFIS). Four different models were designed starting from one input up to four inputs used average daily temperature (ºC), average daily relative humidity (%), average daily current pressure (hPa) and average daily wind speed (m/s) as inputs parameters. Total daily pan evaporation (mm) was selected as output parameter. The normalized daily data of the Van Local Station between 2013-2017 was used for training of the model. Data for 2018 were used for testing purposes. Also, two stations in different cities were selected for comparison in order to determine whether the models prepared using data from Van Local Station can be used in other stations. For this purpose, a station from Konya province with climatic characteristics similar to Van province and a station from Kocaeli province with different climatic characteristics were selected. In all models, similar results between Van Local Station and the station selected from Konya were observed, while the results between Van Local Station and the station selected from Kocaeli were observed as relatively low compared to the previous comparison. The fourth model, which was designed using four input parameters, achieved the lowest error values at all stations and Kocaeli station got the best R 2 value at this model.

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Improving methods for estimating small reservoir evaporation in the Brazilian Savanna

Cited by 29 publications

References 44 publications

Analysis of Flow Behavior as Influenced by Reservoir with Flow Regularization

Analysis of Flow Behavior as Influenced by Reservoir with Flow Regularization

Different Methods for Measuring Evaporation in a Tropical Reservoir: The Case of the Gavião Reservoir in the State of Ceará

Estimating Daily Pan Evaporation Data using Adaptive Neuro Fuzzy Inference System: Case Study within Van Local Station-Turkey

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