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Water seasonality in granting permits and impact of irrigation in the dourados river basin, MS, Brazil/Sazonalidade hidrica na concessao de outorga e impacto da irrigacao na bacia do rio dourados, MS, Brasil.

INTRODUCTION

The last decades have been characterized by a substantial increase in the water demand for various purposes. The competition between users has increased due to population growth, alteration in spatial and temporal water availability, variations of the natural conditions and deterioration of water quality (Alves et al., 2009; Wang & Huang, 2011).

The natural water availability in a water basin is represented by the average and minimum streamflows, and knowing them is of great importance for an adequate planning of usage and shared management of the water resources (Novaes et al., 2009). Precise streamflow estimates are, therefore, essential for adequate planning and management of the water resources (Pruski et al., 2007; Li et al., 2010; Masih et al., 2010; Arai et al., 2012).

The minimum streamflows [Q.sub.7,10] and [Q.sub.95] have been used to define the limit of authorization of water use by water resources management policies (Brodie et al., 2008). [Q.sub.7,10] is based on the historical series of average minimum flows with 7 days of duration and return period of 10 years, while [Q.sub.95] utilizes values of the permanence curve to establish reference flows on a daily, monthly or annual basis (Belico et al., 2013). The minimum reference flows estimated were the minimum flows of seven days of duration and return period of 10 years ([Q.sub.7,10]) and the minimum flow associated with 95% of permanence in time ([Q.sub.95]). These criteria are widely used by the National Water Agency of Brazil (ANA).

The Dourados River basin is located in the sub-basin of the Ivinhema River, which in turn is inserted in the Parana River basin. The region has great potential for agricultural development and, with the increase in irrigated agriculture, according to the Food and Agriculture Organization, irrigated agriculture must increase by up to 30% until 2030 (Bof et al., 2013). In this context, the knowledge on the hydrological characteristics and the demand for water resources by irrigation in the Dourados River basin are of great importance. Thus, this study aimed to evaluate water seasonality in the process of granting permits and the impact of irrigation in the Dourados River basin.

Material and Methods

The Dourados River basin is located between the geographic coordinates 21[degrees] 56' S 22[degrees] 38' S and 53[degrees] 59' W-55[degrees] 57' W, and occupies an area of approximately 9,240 [km.sup.2]. The climate of the region, according to Koppen's classification, is Aw (Peel et al., 2007) with annual means for rainfall and temperature of 1,425 mm and 23.6[degrees]C, respectively.

The study analyzed the data from the fluviometric stations of Dourados (64609000) and Porto Wilma (64610000), both belonging to the ANA network and situated in the Dourados River, with drainage areas of 5,817 and 9,059 [km.sup.2], respectively. For that, data whose years showed more than 95% of the data encompassing the period from 1973 to 2007 were analyzed. The drainage areas were obtained through the digital elevation model generated in the GIS. For the Porto Wilma station, the drainage area represents 98.4% of the basin, thus reflecting its behavior.

To estimate the annual and monthly series of minimum flows with seven days of duration ([Q.sub.7]), for each station, the following Log-Normal probability distribution functions with two and three parameters were analyzed: Pearson III, Log-Pearson III and Weibull. The probability distribution adjustable to each historical series was selected using the Kolmogorov-Smirnov test, at 0.2 probability level, and the parameters of each distribution were fitted through the moments method. After selecting the probabilistic distribution with best fit, the values of [Q.sub.7,10] were obtained. In the calculation of the Q7 for the utilized seasonal periods, [Q.sub.7] events were obtained by restricting the data set only to the seasonal period in question. These flows were calculated using the program SisCAH 1.0 (Sousa et al., 2009).

[Q.sub.95] was obtained from the permanence curve of each fluviometric station based on daily data, representing the time interval in which certain flow is equaled or exceeded during the analyzed period. For that, the data series were organized in decreasing order and the frequency associated with each flow value was determined using Eq. 1.

[f.sub.i]. = [N.sub.qi]/NT 100 (1)

where:

[N.sub.qi]--number of events higher than or equal to the flow of order i; and,

NT--total number of data of the sample.

SisCAH 1.0 was used to obtain [Q.sub.95] on monthly and annual scales for each historical series, according to the described methodology. Permanence curves on monthly basis were determined using the same procedure for the annual estimate, but restricting the data set to the monthly scale.

The estimates of minimum reference flows were used to compare the flows of the monthly periods with those of the annual period. This comparison verified the relative difference of the water availability in the flow available for granting, considering the adoption of the minimum reference flows of the monthly scales adopted with the annual period, according to Eq. 2.

Dr [Q.sub.seasonal] - [Q.sub.annual]/[Q.sub.annual]100 s

where:

Dr--relative difference of water availability, %;

[Q.sub.seasonal]--streamflow estimated on monthly basis, [m.sup.3] [s.sup.-1]; and,

[Q.sub.annual]--streamflow estimated on annual basis, [m.sup.3] [s.sup.-1].

For both fluviometric stations used in the study, [Q.sub.7,10] and [Q.sub.95] values on monthly and annual basis were compared, along with the criteria: 50% [Q.sub.7,10,] 50% [Q.sub.95], 70% [Q.sub.7,10] and 70% [Q.sub.95], on the different temporal scales analyzed. The monthly behavior of the estimates and the magnitude of the grantable flow according to the temporal scale were analyzed, comparing them with the annual flows.

The relative difference between the criteria of maximum allowable flows for permits on annual and monthly basis, based on the volume, was calculated according to Eq. 3 (Bof, 2010).

[Dr.sub.criterion] = [70.sub.%Q95] - [V.sub.50%Q7.l0]/[V.sub.50%Q7.10] 100 (3)

where:

[Dr.sub.criterion]--relative difference between the criteria, %;

[V.sub.70%Q95]--maximum water volume allowable for permits, ANA criterion, [m.sup.3] [year.sup.-1] ; and,

[V.sub.50%Q7,10]--maximum water volume allowable for permits due to the adoption of the criterion of 50% [Q.sub.7,10] [m.sup.3] [year.sup.-1].

To calculate the maximum water volume allowable for permits, the value of the grant flow was multiplied by the number of seconds in one year, to obtain the water volume that flows during one year. For the criterion of monthly grant, the mean value of the monthly grant flows was multiplied by the number of seconds in one month.

The difference of maximum volume allowable for permits (Bof, 2010) in the change from annual to monthly basis was also analyzed, expressed by Eq. 4.

[Dr.sub.b] = [V.sub.monthly] - [V.sub.annual]/[V.sub.annual] 100 (4)

where:

[Dr.sub.b]--relative difference between the monthly criterion and annual criterion, %.

The withdrawal flows to quantify the flow required by irrigation was obtained according to the methodology of Pruski et al. (2007), estimated based on the required irrigation and on the irrigated area of the basin for each crop in each month (Eq. 5).

Qr = [sigma][ETc - Pe/Ea86400] [A.sub.i]10 (Pp - Prnf) (5)

where:

Qr--flow withdrawal for irrigation, [m.sup.3] [s.sup.-1];

ETc--crop evapotranspiration, mm [d.sup.-1];

Pe--effective precipitation, mm [d.sup.-1];

Ea--efficiency of application, dimensionless;

Ai--irrigated area, ha;

Pp--losses through percolation, dimensionless; and,

Prnf--losses through runoff, dimensionless.

For that, sprinkler irrigation, the most frequently used method, was associated with the central pivot. The evapotranspiration of each crop was estimated based on the evapotranspiration of the reference crop, calculated by the Penman-Monteith method, in the coefficients of the crop ([K.sub.c]) and of soil moisture ([K.sub.s]). Considering the results obtained by Ramos & Pruski (2003) in studies on the quantification and analysis of water use efficiency in the agricultural sector in the Sao Francisco River basin, values of 0.90 were adopted for [K.sub.s]. The value adopted for Ea in the central pivot irrigations was 0.78, considered as the mean value of twelve evaluations of central pivot irrigation systems located in the basin. Effective precipitation was obtained by the method proposed by the FAO bulletin no. 24 (Doorenbos & Pruitt, 1977).

It was considered that the crop would not be irrigated if the effective precipitation were higher than the actual evapotranspiration of the crop, while the losses through percolation and runoff were estimated by Eq. 6.

Pp--Prnf = 1--Pevp--Ea (6)

where:

Pevp--losses through evaporation and drift, dimensionless.

For central pivot irrigation systems, a value of 6.10% was adopted for the losses through evaporation and drift, a mean value from the twelve evaluations performed in the basin.

RESULTS AND DISCUSSION

The results showed that the Dourados station has higher seasonal flows in February and March (Figure 1A.), while the Porto Wilma station has higher seasonal flows in May and June (Figure 1B.).

The minimum reference flows for granting permits exhibit expressive differences (Figure 1A and 1B.). Annual [Q.sub.95] was, on average, 28.59% higher in relation to the annual [Q.sub.7,10]. Considering the projections of the use of different criteria of maximum flows allowable for granting permits in both stations, there was a variation up to 33.1% higher in the comparison of the criteria of 50% monthly [Q.sub.7,10] in relation to 50% annual [Q.sub.7,10] and 4.54% higher in the comparison of the criteria of 70% monthly [Q.sub.95] in relation to 70% annual [Q.sub.95]. The use of annual [Q.sub.7,10] tends to be restrictive during the entire year, because it limits the flow allowable for granting to a restriction evidenced in a specific period.

For the evaluated stations, the criterion corresponding to the permit granting of 70% annual [Q.sub.95], compared with the monthly criteria, has the characteristic of being very allowable in months with low water availability (September, October and November), risk of occurrence of complete drought of the river, and highly restrictive in the months with greater water availability (Figures 1A and 1B).

Analyzing the months of September, October and November, which correspond to the most critical period regarding water availability, the values of 70% annual [Q.sub.95] become close to those of monthly [Q.sub.7], but with the utilization of the criterion of 70% monthly [Q.sub.95] this risk decreases. Therefore, the utilization of the criterion based on monthly flows potentiates a better plan of water usage, as it allows greater use of water in the period in which there is availability and imposes a more realistic restriction in the critical period of water availability. Silva et al. (2011) claim that the seasonality in the permit granting process becomes increasingly essential in basins with high growth rates and potential conflict between users.

Considering the permit granting criterion of 50% annual [Q.sub.7,10] it is observed that this criterion limits the use of water resources during the entire year, in periods of both high and low water availability. The change to the criterion of 50% monthly [Q.sub.7,10] allows to provide greater grant flows in periods with water surplus and lower values in months with lower water availability (Figures 1A and 1B.).

The analysis of the criteria of 70% annual [Q.sub.95] and 70% monthly [Q.sub.95] has the same behavior of the projection of use of the criterion of 50% annual and monthly [Q.sub.7,10] with the difference that the allowable flows are grantable and higher, because [Q.sub.95] is a flow with higher probability of occurrence compared with [Q.sub.7,10].

In addition, considering that the water volume allowable for granting is represented by the area under the curve (or line) relative to the adopted grant criterion, in the Porto Wilma station (Figure IB.), through the criterion corresponding to 50% annual [Q.sub.7,10], the allowed grant volume would be 719.2 [hm.sup.3], whereas for the criteria corresponding to 70% annual [Q.sub.95] it would be 1,294.7 [hm.sup.3], 50% monthly [Q.sub.7,10] possibly reaching 1.116,4 [hm.sup.3] (variation from 741.4 to 1,116.4 [hm.sup.3]) and in the criterion of 70% monthly [Q.sub.95], a maximum value of 1,658.5 [hm.sup.3]; these values are 0.80, 0.55 and 1.31 times higher than the maximum volume allowed by the criterion used for permit granting of 50% annual [Q.sub.7,10] (criterion adopted in various states of Brazil).

According to the percent relative difference (Drc%) of the total annual water volume allowable for granting, between the criterion 50% [Q.sub.7,10]/70% [Q.sub.95], on annual and monthly basis, in both fluviometric stations evaluated, the water volume granted by 70% [Q.sub.95] is larger than that of the 50% [Q.sub.7,10], considering the annual basis (80%). On the monthly basis, the difference between criteria vary from 38.3 to 43.8%, because the differences between the values of monthly [Q.sub.7,10] and monthly [Q.sub.95] are lower than the annual values. This fact demonstrates greater proximity between the values of monthly [Q.sub.7,10] and monthly [Q.sub.95].

The change in the allowable grant criterion from annual to monthly basis showed a larger variation in the criterion of change from 50% annual [Q.sub.7,10] to 50% monthly [Q.sub.7,10] in which the monthly flows can be increased by up to 36.1 and 30.8% in the Dourados and Porto Wilma stations, respectively. The analysis of the grant criterion from 70% annual [Q.sub.95] to 70% monthly Q95 resulted in a variation of up to 4.5% in the granted volume in both stations. These values indicate that there is variation between the values of annual and monthly grants, and the former are more restrict, because the granted values are based on the period of greatest water scarcity in the year. In the monthly analysis, it will represent the intrinsic characteristics of the flows of each month. The variation of Drb% using the criterion of 70% annual to monthly [Q.sub.95] was lower, because in some months the flows of the monthly [Q.sub.95] were lower.

The survey of the irrigated area in the basin showed 110 pivots in operation. Based on these data, the area effectively irrigated is 12,549 ha. Considering the main crops irrigated in the basin, corn and soybean, the average annual flow withdrawn for irrigation was estimated to be on the order of 2.99 [m.sup.3] [s.sup.-1].

Figure 2 shows the variables of flows withdrawn for irrigation, crop evapotranspiration, pluvial precipitation and effective precipitation, monthly means of long duration (period from 2002 to 2011), in the Dourados River Basin.

ETc varied from 2.6 mm [d.sup.-1] (June) to 5.6 mm [d.sup.-1] (November). The effective precipitation, which refers only to the portion of the precipitation used to meet the evapotranspiration demand of the crops, showed values lower than those observed in the pluvial precipitation. In the months of lowest precipitations (March, August and September), the effective precipitation was close to the pluvial precipitation. As the pluvial precipitation increased, the effective precipitation also increased; however, the difference between these variables was higher.

The highest flow withdrawn for irrigation was observed in August (5.95 [m.sup.3] [s.sup.-1]), the month with greatest difference between ETc and Pe. According to Figure 2, even in the months with higher pluvial precipitation, ETc remained always higher than Pe, demonstrating the importance of the need for irrigation in the analyzed period.

Considering the criterion cited by Garrido (2003), as being the adopted one in rivers of the country (corresponding to 70% Q), the streamflow that can be currently granted in the Dourados River Basin corresponds to 34.36 [m.sub.3] [s.sup.-1]. Therefore, the streamflow used by irrigation, average annual value relative to the period from 2002 to 2011 (2.99 [m.sup.3] [s.sup.-1]), corresponds to 8.7% [Q.sub.95], or 18.3% for the highest demand observed in the streamflow withdrawn for irrigation (5.95 [m.sup.3] [s.sup.-1]), relative to August. Adopting the criterion of 50% annual [Q.sub.7,10,] it is observed that the streamflow that can be granted is 18.18 [m.sup.3] [s.sup.-1], which is, therefore, more restrictive. Hence, the impacts of the grantable streamflow become 16.4% for the average streamflow withdrawn and 32.7% for the peak of use of water resources by irrigation.

Analyzing the monthly scale (Table 1), the highest percentage of streamflow withdrawn for irrigation (5.95 [m.sup.3] [s.sup.-1]) in relation to the observed Q710 was 26.1%, evidenced in August. This percentage was higher than that of the maximum streamflow granted for permits adopting the annual criteria, which was equal to 32.7%, thus highlighting a better protection of the water resources in the adoption of the monthly scale. These values indicate that there is a large variation between the annual and monthly permits, and the annual values are more restrict. The utilization of criteria based on the use of minimum monthly flows aims at a more rational use of the water resources. This occurs because of the greater supply in the amount of water in months with water surplus and lower supply in months with water deficit, without leading to environmental damage to the basin.

CONCLUSIONS

1. The granting of permits for the use of water resources, adopting the monthly scale, guarantees a better plan of water usage compared with the annual scale, since it provides larger grant streamflows in periods with water surplus and lower values in months with lower water availability.

2. In the most extreme situation in the monthly scale, the streamflow withdrawn for irrigation in the month of highest demand (August) represented 26.1% of the observed Q7 and 17.3% of the [Q.sub.95].

3. The average annual streamflow withdrawn for irrigation in the Dourados River Basin, in the studied period, was on the order of 2.99 [m.sup.3] [s.sup.-1], and the withdrawal streamflow in the month of highest demand (August) was equal to 5.95 [m.sup.3] [s.sup.-1].

DOI: http://dx.doi.org/10.1590/1807-1929/agriambi.v21n7p499-504

Ref. 169-2016--Received 18 Oct, 2016 * Accepted 3 Feb, 2017 * Published 1 Jun, 2017

LITERATURE CITED

Alves, E. C. R. F.; Silvino, A. N. de O.; Andrade, N. L. R. de; Silveira, A. Gestao dos recursos hidricos no Estado de Mato Grosso. Revista Brasileira de Recursos Hidricos, v.14, p.69-80, 2009. https://doi. org/10.21168/rbrh.v14n3.p69-80

Arai, F. K.; Pereira, S. B.; Goncalves, G. G. G. Characterization of water availability in a hydrographic basin. Engenharia Agricola, v.32, p.591-601, 2012. https://doi.org/10.1590/S010069162012000300018

Belico, J. C. B.; Lisboa, L.; Guedes, H. S.; Silva, D. D. da. Comparacao entre vazoes minimas de referencia para o rio Formoso-MG. Enciclopedia Biosfera, v.9, p.718-733, 2013.

Bof, L. H. N. Analise de criterios de outorga de direito de uso de recursos hidricos. Vicosa: UFV, 2010. 99p. Dissertacao de Mestrado Bof, L. H. N.; Pruski, F. F.; Silva, L. M. C. da.; Justino, F. Analysis of appropriate timescales for water diversion permits in Brasil. Environmental Management, v.51, 2013. p.492-500. https://doi. org/10.1007/s00267-012-9982-7

Brodie, R. S.; Hostetler, S.; Slatter, E. Comparison of daily percentiles of streamflow and rainfall to investigate stream-aquifer connectivity. Journal of Hydrology, v.349, p.56-67, 2008. https:// doi.org/10.1016/j.jhydrol.2007.10.056 Doorenbos, J.; Pruitt, W. O. Las necessidades de agua de los cultivos. Roma: FAO, 1977. 144p.

Garrido, R. J. S. Avaliacao dos mecanismos financeiros para o gerenciamento sustentavel da bacia do Sao Francisco. In: Projeto de gerenciamento integrado das atividades desenvolvidas em terra na bacia do Sao Francisco. Brasilia: ANA, 2003. 335p.

Li, M.; Shao, Q.; Zhang, L.; Chiew, F. H. S. A new regionalization approach and its application to predict flow duration curve in ungauged basin. Journal of Hydrology, v.389, p.137-145, 2010. https://doi.org/10.1016/j.jhydrol.2010.05.039

Masih, I.; Uhlenbrook, S.; Maskey, S.; Ahmad, M. D. Regionalization of a conceptual rainfall-runoff model based on similarity of the flow duration curve: A case study from the semi-arid Karkheh basin, Iran. Journal of Hydrology, v.391, p.188-201, 2010. https://doi.org/10.1016/j.jhydrol.2010.07.018

Novaes, L. F. de; Pruski, F. F.; Queiroz, D. O. de; Rodriguez, R. del G.; Silva, D. D. da; Ramos, M. M. Modelo para a quantificacao da disponibilidade hidrica: Parte 1--Obtencao da equacao de recessao. Revista Brasileira de Recursos Hidricos, v.14, p.15-26, 2009. https://doi.org/10.21168/rbrh.v14n1.p15-26

Peel, M. C.; Finlayson, B. L.; McMahon, T A. Updated world map of Koppen-Geiger climate classification. Hydrology and Earth System Sciences, v.11, p.1633-1644, 2007. https://doi.org/10.5194/hess-11-1633-2007

Pruski, F. F.; Rodriguez, R. del G.; Novaes, L. F. de; Silva, D. D. da; Ramos, M. M.; Teixeira, A. de F. Impacto das vazoes demandadas pela irrigacao e pelos abastecimentos animal e humano, na bacia do Paracatu. Revista Brasileira de Engenharia Agricola e Ambiental, v.11, p.199-210, 2007. https://doi.org/10.1590/S141543662007000200011

Ramos, M. M.; Pruski, F. F. Quantificacao e analise da eficiencia do uso da agua pelo setor agricola na bacia do Sao Francisco. In: Projeto gerenciamento integrado das atividades desenvolvidas em terra na bacia do Sao Francisco. Vicosa: UFV, 2003. 190p.

Silva, D. D. da; Marques, F. de A.; Lemos, A. F. Flexibilidade das vazoes minimas de referencia com a adocao do periodo trimestral. Engenharia na Agricultura. v.19, p.244-254, 2011. https://doi. org/10.13083/1414-3984.v19n03a07

Sousa, H. T.; Pruski, F. F.; Bof, L. H. N.; Cecon, P. R.; Souza, J. R. C. SisCAH: Sistema computacional para analises hidrologicas. Brasilia: ANA, 2009. 60p.

Wang, S.; Huang, G. H. Interactive two-stage stochastic fuzzy programming for water resources management. Journal of Environmental Management, v.92, p.1986-1995, 2011. https://doi.org/10.1016/j.jenvman.2011.03.024

Diovany D. Ramos (1), Silvio B. Pereira (2), Fabiane K. Arai (3), Felipe A. dos Santos (4) & Thiago de O. Carnevali (5)

(1) Universidade Federal do Mato Grosso do Sul/Faculdade de Educacao. Campo Grande, MS. E-mail: diovany3@hotmail.com (Corresponding author)

(2) Universidade Federal de Vicosa/Departamento de Engenharia Agricola. Vicosa, MG. E-mail: silviopereira@ufv.br

(3) Universidade Federal da Grande Dourados/Faculdade de Ciencias Agrarias. Dourados, MS. E-mail: fabiane.kazue.arai@gmail.com

(4) Universidade Estadual Paulista/Faculdade de Ciencias e Engenharia. Tupa, SP. E-mail: feandresantos@gmail.com

(5) Universidade Federal do Para/Faculdade de Engenharia Agronomica. Altamira, PA. E-mail: thiagocarnevali@live.com

Caption: Figure 1. Monthly and annual minimum reference flows ([Q.sub.7,10] and [Q.sub.95]) and projection of the use of different criteria of maximum flows allowable for permits in the Dourados (A.) and Porto Wilma (B.) stations, from 1973 to 2007

Caption: Figure 2. Withdrawal streamflows--Qr ([m.sup.3] [s.sup.-1]), crop evapotranspiration--ETc (mm [d.sup.-1]), pluvial precipitation--Ppt (mm [d.sup.-1]) and effective precipitation--Pe (mm [d.sup.-1]), relative to the period from 2002 to 2011 in the Dourados River Basin
Table 1. Streamflow withdrawn for irrigation ([Q.sub.r]),
minimum reference flows for granting permits ([Q.sub.7,10]
and [Q.sub.95]) and percent variation of grant flows relative
to the monthly seasonal period in relation to the monthly
withdrawal flow

Streamflows/Months                         Jan     Feb     Mar

[Q.sub.r] ([m.sup.3])                      1.21    1.70    4.37
50% [Q.sub.7,10] ([m.sup.3] [s.up.-1])    25.86   31.99   30.44
70% [Q.sub.95] ([m.sup.3] [s.up.-1])      36.82   45.37   43.89
[Q.sub.r]/50% [Q.sub.7,10] (%)             4.70    5.30   14.40
[Q.sub.r]/70% [Q.sub.95] (%)               3.30    3.70   10.00

Streamflows/Months                         Apr     May     Jun

[Q.sub.r] ([m.sup.3])                      2.47    2.43    2.70
50% [Q.sub.7,10] ([m.sup.3] [s.up.-1])    27.09   24.82   27.29
70% [Q.sub.95] ([m.sup.3] [s.up.-1])      38.18   37.93   39.57
[Q.sub.r]/50% [Q.sub.7,10] (%)             9.10    9.80    9.90
[Q.sub.r]/70% [Q.sub.95] (%)               6.50    6.40    6.80

Streamflows/Months                         Jul     Aug     Sep

[Q.sub.r] ([m.sup.3])                      2.75    5.95    5.00
50% [Q.sub.7,10] ([m.sup.3] [s.up.-1])    25.52   22.82   19.86
70% [Q.sub.95] ([m.sup.3] [s.up.-1])      37.70   32.60   29.36
[Q.sub.r]/50% [Q.sub.7,10] (%)            10.80   26.10   25.20
[Q.sub.r]/70% [Q.sub.95] (%)               7.30   18.30   17.00

Streamflows/Months                         Oct     Nov     Dec

[Q.sub.r] ([m.sup.3])                      2.41    3.44    1.49
50% [Q.sub.7,10] ([m.sup.3] [s.up.-1])    18.66   20.47   25.34
70% [Q.sub.95] ([m.sup.3] [s.up.-1])      31.80   30.28   35.00
[Q.sub.r]/50% [Q.sub.7,10] (%)            12.90   16.80    5.9
[Q.sub.r]/70% [Q.sub.95] (%)               7.60   11.40   04.30

Streamflows/Months                         Annual

[Q.sub.r] ([m.sup.3])                       5.95 *
50% [Q.sub.7,10] ([m.sup.3] [s.up.-1])     18.18
70% [Q.sub.95] ([m.sup.3] [s.up.-1])       34.36
[Q.sub.r]/50% [Q.sub.7,10] (%)             32.70
[Q.sub.r]/70% [Q.sub.95] (%)               17.30

* Maximum annual demand
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Author:Ramos, Diovany D.; Pereira, Silvio B.; Arai, Fabiane K.; dos Santos, Felipe A.; de O. Carnevali, Thi
Publication:Revista Brasileira de Engenharia Agricola e Ambiental
Article Type:Ensayo
Date:Jul 1, 2017
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