TIME SERIES TRENDS OF STREAMFLOW AND RAINFALL IN THE SANTO ANTONIO RIVER BASIN, BRAZIL

被引：0

作者：

Ferreira, Fernanda L., V ^{[1
]}

Rodrigues, Lineu N. ^{[1
,2
]}

da Silva, Demetrius D. ^{[1
]}

Teixeira, David B. de S. ^{[1
]}

de Almeida, Laura T. ^{[1
]}

机构：

[1] Fed Univ Vicosa UFV, Vicosa, MG, Brazil

[2] BrazilianAgr Res Corp EMBRAPA Cerrados, Planaltina, DF, Brazil

来源：

ENGENHARIA AGRICOLA | 2021年 / 41卷 / 01期

关键词：

stationarity; Run test; Mann Kendall test; Pettitt test; CLIMATE-CHANGE; STATISTICAL-ANALYSIS; PRECIPITATION; FLOW; IDENTIFICATION; STATIONARITY; PATTERNS;

D O I：

10.1590/1809-4430-Eng.Agric.v41n1p47-55/2021

中图分类号：

S2 [农业工程];

学科分类号：

0828 ;

摘要：

Detecting trends in streamflow and rainfall series can have great significance for proper water resource management. Thus, the objective of this study was to analyze the trends of historical streamflow and rainfall series using nonparametric statistical tests. A historical series of pluviometric and fluviometric gauges, which belong to the hydrometeorological network of the Brazilian Water National Agency in the Santo Antonio River Basin, Brazil, from 1985 to 2014 were used. By applying statistical tests, it was found that the time series are independent and random, and from the total 24 rainfall gauges evaluated, 12 presented nonstationary behavior, exhibiting mostly decreasing trends. Based on the six fluviometric gauges used for the annual streamflow series, only the annual data of one gauge tended to decrease to the minimum streamflow. However, for the monthly series, three gauges showed decreasing trends between July and September. This decrease in streamflow may be a consequence of rainfall reductions, high water demand, and changes in land use and cover.

引用

页码：47 / 55

页数：9

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