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  • India Meteorological Department  (2)
  • 1995-1999  (2)
Material
Publisher
  • India Meteorological Department  (2)
Language
Years
  • 1995-1999  (2)
Year
  • 1
    Online Resource
    Online Resource
    India Meteorological Department ; 1997
    In:  MAUSAM Vol. 48, No. 1 ( 1997-01-01), p. 45-54
    In: MAUSAM, India Meteorological Department, Vol. 48, No. 1 ( 1997-01-01), p. 45-54
    Abstract: ABSTRACT. Results of a study of droughts and aridity in northeast Brazil are presented in this paper. The study is based on the analysis of yearly water balances at fifteen stations in the region. Incidence of droughts of varying intensities at the stations is discussed. Climatic shifts at the stations are evaluated on the basis of the moisture index values. The use of the cumulative deviation technique in drought studies is briefly mentioned.    
    Type of Medium: Online Resource
    ISSN: 0252-9416
    URL: Issue
    Language: Unknown
    Publisher: India Meteorological Department
    Publication Date: 1997
    SSG: 16,13
    Location Call Number Limitation Availability
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  • 2
    Online Resource
    Online Resource
    India Meteorological Department ; 1997
    In:  MAUSAM Vol. 48, No. 3 ( 1997-07-01), p. 437-442
    In: MAUSAM, India Meteorological Department, Vol. 48, No. 3 ( 1997-07-01), p. 437-442
    Abstract: ABSTRACT. Results of a climatological study of soil moisture under corn crop at Campina Grande (NE Brazil) are presented in this paper. Daily values of available moisture content during the crop growing period are evaluated for a period of 25 years. A six zone versatile soil moisture budget model is used for this purpose and approximately 5. 7.5, 12.5, 25, 25 and 25% of the available water capacity (AWC) are attributed to zones one to six respectively. Different root activity coefficients are assumed for the six zones in different growth stages and the dependence of these coefficients on moisture content is taken into consideration. The same moisture releasing characteristics are assumed for all soil zones. On rainy days moisture loss due to evapotranspiration is assumed to take place before precipitation. Four AWC values and three corn growing periods between March and September are considered in this study. A first order Markov chain model is applied to the daily soil moisture data. Soil moisture averages and probabilities are used to identify the optimum growing period for corn at this station. The irrigation requirements of the crop are briefly discussed.  
    Type of Medium: Online Resource
    ISSN: 0252-9416
    URL: Issue
    Language: Unknown
    Publisher: India Meteorological Department
    Publication Date: 1997
    SSG: 16,13
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
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