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Simulation of Possible Scenarios of Precipitations on River Basin of Water Reservoir with Considerate of Climatic Change.

5 pagesPublished: September 20, 2018

Abstract

At the moment, it is generally accepted that global climate warming takes place. This process leads to increased precipitation in many regions, since warm air can contain more moisture and a higher temperature also accelerates the hydrological cycle, which should contribute to the increased precipitation and evaporation. Such hypothesis has to confirm for every region, since there are exceptions. Accordingly, the hypothesis checked in respect to precipitation of Moscow Meteorological station, which has observation during 135 years. It was defined, that precipitation amount of last decades is differed significantly from previous years, therefore, special method of Monte-Carlo was tested for precipitation simulation with discreteness of ten day periods according to data observations for the last 30 years, which represents more really today climatic situation. Such scenarios are needed for modeling of water reservoirs operation. The test results were enough satisfactory.

Keyphrases: precipitation, river basin, stochastic simulation, water reservoir

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 926-930.

BibTeX entry
@inproceedings{HIC2018:Simulation_Possible_Scenarios_Precipitations,
  author    = {Vitaly Ilinich and Irina Asaulyak and Alexandr Belolubtsev and Valentina Rashupkina},
  title     = {Simulation of Possible Scenarios of Precipitations on River Basin of Water Reservoir with Considerate of Climatic Change.},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {/publications/paper/ZFJL},
  doi       = {10.29007/b742},
  pages     = {926-930},
  year      = {2018}}
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