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An Analysis of Climate Change in Pakistan

An Analysis of Climate Change in Pakistanvon Burhan Ahmad Sie sparen 18% des UVP sparen 18%
Über An Analysis of Climate Change in Pakistan

Pakistan is an agricultural country which has nearly 47% of its society attached to this sector. Impacts of climate change induce serious threats to the agrarian economy of Pakistan. Food security is now negatively impacted through abrupt temperature variations in the region. In particular, the Punjab province based farmers are majorly affected whose sole revenue is dependent upon crop production in arid lands. Although, to some crops the increasing greenhouse gas (GHG) contributes positively, yet the overall measure of pessimistic repercussion of temperature overthrows the appreciative response of GHGs in the region. Using recently published reanalysis dataset viz. Agriculture Modern-Era Retrospective Analysis for Research and Applications (AgMERRA), the present study has made use of Probability Density Functions (PDFs) to evaluate changes in mean, standard deviation, skewness and kurtosis of the two basic climate variables (temperature and precipitation) on seasonal basis.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9786138512813
  • Einband:
  • Taschenbuch
  • Seitenzahl:
  • 124
  • Veröffentlicht:
  • 3. Januar 2019
  • Abmessungen:
  • 150x8x220 mm.
  • Gewicht:
  • 203 g.
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Beschreibung von An Analysis of Climate Change in Pakistan

Pakistan is an agricultural country which has nearly 47% of its society attached to this sector. Impacts of climate change induce serious threats to the agrarian economy of Pakistan. Food security is now negatively impacted through abrupt temperature variations in the region. In particular, the Punjab province based farmers are majorly affected whose sole revenue is dependent upon crop production in arid lands. Although, to some crops the increasing greenhouse gas (GHG) contributes positively, yet the overall measure of pessimistic repercussion of temperature overthrows the appreciative response of GHGs in the region. Using recently published reanalysis dataset viz. Agriculture Modern-Era Retrospective Analysis for Research and Applications (AgMERRA), the present study has made use of Probability Density Functions (PDFs) to evaluate changes in mean, standard deviation, skewness and kurtosis of the two basic climate variables (temperature and precipitation) on seasonal basis.

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