EFFECT OF EL NINO/SOUTHERN OSCILLATION ON RAINFALL EROSIVITY IN SANTA MARIA (RS)

被引:4
|
作者
de Paula, Gizelli Moiano [1 ]
Streck, Nereu Augusto [2 ]
Zanon, Alencar Junior
Foletto Eltz, Flavio Luiz [3 ]
Heldwein, Arno Bernardo
Teliginski Ferraz, Simone Erotildes [4 ]
机构
[1] Univ Fed Santa Maria, Programa Posgrad Engn Agr, BR-97105900 Santa Maria, RS, Brazil
[2] Univ Fed Santa Maria, Ctr Ciencia Rural, Dept Fitotecnia, BR-97105900 Santa Maria, RS, Brazil
[3] Univ Fed Santa Maria, Dept Solos, BR-97105900 Santa Maria, RS, Brazil
[4] Univ Fed Santa Maria, Dept Fis, BR-97105900 Santa Maria, RS, Brazil
来源
REVISTA BRASILEIRA DE CIENCIA DO SOLO | 2010年 / 34卷 / 04期
关键词
erosivity index; ENSO; erosion potential; rainfall pattern; NINO SOUTHERN OSCILATION; GRANDE-DO-SUL; BRAZIL;
D O I
10.1590/S0100-06832010000400028
中图分类号
S15 [土壤学];
学科分类号
0903 ; 090301 ;
摘要
El Nino / Southern Oscillation (ENSO) affects the weather and climate of several locations, causing changes in the atmospheric circulation and climate variables, mainly rainfall, in all regions of Brazil. In southern Brazil, during El Nino years (the positive phase of ENSO), rainfall is often above normal whereas during La Nina years (the negative phase of ENSO), rainfall is often below normal. Some rainfall properties are affected by ENSO, such as frequency, intensity and amount. These properties are important to define erosive rainfall events. Among the methods to determine rainfall erosivity in Rio Grande do Sul State, the EI(30) -erosivity index, is the most commonly used. The objective of this study was to determine and associate the EI(30) erosivity index with the ENSO phenomenon for the region of Santa Maria, RS, Brazil. Daily rainfall data recorded from July 01, 1978 to July 30, 2008, collected in a standard Weather Station in Santa Maria, RS, were used. Individual erosive rainfall events were identified in the records, grouped into El Nino, La Nina and Neutral years, and the EI30 index was calculated. Rainfall events were also grouped into three patterns: Early, Intermediate and Late. Pearson correlation and regression analysis between the EI(30) index and the Nino Oceanic Index (NOD were performed. Regression was tested with the t test in order to quantify the relationship between the two variables, aiming at a possible predictability of the erosion potential of rainfall events due to abnormalities of the Sea Surface Temperature (SST) in the Pacific Ocean. Rainfall erosion potential in Santa Maria is affected by ENSO, so that a greater number of rain fill events have a higher erosion potential during El Nino and neutral years. The variability of the rainfall erosion potential is greater during Neutral years than during years with SST anomalies. The rainfall pattern is changed in years with SST anomalies, so that there is a slight increase in early rains during El Nino years and a slight decrease in late rains during La Nina years, whereas there is a decrease in rainfall events with Intermediate pattern during El Nino and La Nina years compared to Neutral years. The predictive capability of the erosion potential of rainfall events in Santa Maria based on the NOI index is weak or inexistent.
引用
收藏
页码:1315 / 1323
页数:9
相关论文
共 50 条
  • [1] Variation characteristics of rainfall erosivity in Guizhou Province and the correlation with the El Nino Southern Oscillation
    Zhu, Dayun
    Xiong, Kangning
    Xiao, Hua
    Gu, Xiaoping
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 691 : 835 - 847
  • [2] El Nino-Southern Oscillation and Rainfall Variability
    Nicholls, N.
    [J]. JOURNAL OF CLIMATE, 1988, 1 (04) : 418 - 421
  • [3] The relationship of the El Nino Southern oscillation to African rainfall
    Nicholson, SE
    Kim, E
    [J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY, 1997, 17 (02) : 117 - 135
  • [4] Spatial-temporal distribution of rainfall erosivity, erosivity density and correlation with El Nino-Southern Oscillation in the Huaihe River Basin, China
    Xu, Zehua
    Pan, Bin
    Han, Mei
    Zhu, Jiqian
    Tian, Lixin
    [J]. ECOLOGICAL INFORMATICS, 2019, 52 : 14 - 25
  • [5] El Nino-Southern Oscillation and rainfall variability in central and southern Sudan
    Osman, YZ
    Shamseldin, AY
    Abdo, GM
    [J]. WATER INTERNATIONAL, 2001, 26 (02) : 177 - 184
  • [6] El Nino Southern Oscilation and the interannual variability of Pan evaporation and air relative humidity in Santa Maria, RS, Brazil
    Streck, Nereu Augusto
    Rosa, Hamilton Telles
    Walter, Lidiane Cristine
    Bosco, Leosane Cristina
    Lago, Isabel
    Heldwein, Arno Bernardo
    [J]. CIENCIA RURAL, 2008, 38 (05): : 1452 - 1455
  • [7] El Nino and the Southern Oscillation
    Gao Shiying and Wang Jingshu National Research Center for Marine Environment Forecasts
    [J]. Acta Oceanologica Sinica, 1988, (04) : 521 - 532
  • [8] Rainfall over Oman and its teleconnection with El Nino Southern Oscillation
    Varikoden, Hamza
    Al-Shukaili, Hilal Sulthan Ali
    Babu, C. A.
    Samah, A. A.
    [J]. ARABIAN JOURNAL OF GEOSCIENCES, 2016, 9 (08)
  • [9] EL-NINO SOUTHERN-OSCILLATION IMPACT ON RAINFALL IN URUGUAY
    PISCIOTTANO, G
    DIAZ, A
    CAZES, G
    MECHOSO, CR
    [J]. JOURNAL OF CLIMATE, 1994, 7 (08) : 1286 - 1302
  • [10] The spatial distribution of rainfall extremes and the influence of El Nino Southern Oscillation
    Saunders, Kate
    Stephenson, Alec G.
    Taylor, Peter G.
    Karoly, David
    [J]. WEATHER AND CLIMATE EXTREMES, 2017, 18 : 17 - 28