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Center for Natural Resources and Sustainability DKU

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Country: Tajikistan

  • Kazakhstan
  • Kyrgyzstan
  • Uzbekistan
  • Tajikistan
  • Turkmenistan
  • Afghanistan
  • China
  • Iran
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  • The Performance of Water Management Institutions in Syrdarya Basin

    Year: 2016

    Collections: Scientific Publications

    Topics: Water, Climate, Sustainable Development

    Authors: Kayumov Abdurasul

    Countries: Kazakhstan, Kyrgyzstan, Uzbekistan, Tajikistan

    Source: Central Asian Journal of Water Research

    Book review: Novel Measurement and Assessment Tools for Monitoring and Management of Land and Water Resources in Agricultural Landscapes of Central Asia. Lothar Mueller, Abdulla Saparov and Gunnar Lischeid (Eds.)

    Year: 2016

    Collections: Short Communications

    Topics: Water, Climate, Agriculture, Sustainable Development

    Authors: Knauft Falk-Juri

    Countries: Kazakhstan, Kyrgyzstan, Uzbekistan, Tajikistan, Turkmenistan

    Source: Central Asian Journal of Water Research

    Technical Note: Why Methods Matter. A Guidance for Data-based Climate and Hydrological Change Assessments

    Year: 2016

    Collections: Short Communications

    Topics: Water, Climate, Agriculture, Sustainable Development, IWRM

    Authors: Unger-Shayesteh Katy, Gerlitz Lars, Vorogushyn Sergiy

    Countries: Kazakhstan, Kyrgyzstan, Uzbekistan, Tajikistan, Turkmenistan

    Source: Central Asian Journal of Water Research

    An important topic of the journal “Integrated Water Resources Management in Central Asia” will be the assessment of past and future changes in climate and water resources in Central Asia. This technical note aims at providing guidance for sound data-based assessment of changes to be published in this journal. The main requirements for achieving credible results are (1) the use of consistent data series, (2) the selection of appropriate change detection methods, and (3) the discussion of the results, their uncertainties and limitations. Using an example of trend analysis, it is exemplarily shown how inhomogeneities in a data series, the selection of start and end points, the applied methods, and temporal aggregation may affect the results of change studies.

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