Evaluation and Stochastic Simulation of Storm Precipitation for City Underground Utilities in Condition of Climate Change

Alessandro Cavalli; Vitaliy Ilinich; Maksim Lapushkin; Anna Naumova

doi:10.29007/986f

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Evaluation and Stochastic Simulation of Storm Precipitation for City Underground Utilities in Condition of Climate Change

5 pages•Published: September 20, 2018

Alessandro Cavalli, Vitaly Ilinich, Maksim Lapushkin and Anna Naumova

Abstract

The article is devoted to the modeling and estimation of the change in the maximum daily precipitation in the northern district of Moscow and the nearest Moscow suburbs against the background of changes in the average annual air temperatures and its average temperatures over the warm seasons. Special statistical methods used in hydrometeorology were used to assess changes. The obtained results indicate an increase in the calculated values of the hazardous precipitation and their occurrence frequency in the region during the last decades, which must be taken into account in the calculation of surface runoff for hydro- technical constructions and environmental objects. The special method of Monte-Carlo is offered for simulation of storm precipitation.

Keyphrases: climate change, maximum runoff, precipitation, storm modeling

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 389--393

Links:	https://easychair.org/publications/paper/hCR8
	https://doi.org/10.29007/986f

BibTeX entry

@inproceedings{HIC2018:Evaluation_and_Stochastic_Simulation,
  author    = {Alessandro Cavalli and Vitaliy Ilinich and Maksim Lapushkin and Anna Naumova},
  title     = {Evaluation and Stochastic Simulation of Storm Precipitation for City Underground Utilities in Condition of Climate 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},
  pages     = {389--393},
  year      = {2018},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {https://easychair.org/publications/paper/hCR8},
  doi       = {10.29007/986f}}

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