Environmental hydrology of water balance analysed by statistical modelling using Python

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Environmental hydrology of water balance analysed by statistical modelling using Python. / Леменкова, Полина Алексеевна.

в: Ovidius University Annals Series: Civil Engineering, Том 27, № 1, 26.09.2025, стр. 1-8.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

BibTeX

@article{971af7a8ed044765b3983fc7c0b3aced,

title = "Environmental hydrology of water balance analysed by statistical modelling using Python",

abstract = "This work presents the use of remote sensing data for hydrological and environmental analysis with a case of Dolomites Mountains, north Italy. The data includes remote sensing based micrometeorological measurements key hydrological parameters to calculate vertical turbulent fluxes within atmospheric boundary layers in coniferous forests. The period of measurements covered data from 2015. The operational workflow included statistical data processing in which the data were classified into categories of evapotranspiration, temperatures, precipitation, water pressure deficit and radiation obtained from various land cover types. The approach was implemented with aim at climate change and hydrological research and implications in forest ecohydrology in European Alps.",

keywords = "data analysis, environment, modelling, Python, statistical analysis",

author = "Леменкова, {Полина Алексеевна}",

year = "2025",

month = sep,

day = "26",

doi = "10.5281/zenodo.17209554",

language = "English",

volume = "27",

pages = "1--8",

journal = "Ovidius University Annals Series: Civil Engineering",

issn = "2392-6139",

number = "1",

}

RIS

TY - JOUR

T1 - Environmental hydrology of water balance analysed by statistical modelling using Python

AU - Леменкова, Полина Алексеевна

PY - 2025/9/26

Y1 - 2025/9/26

N2 - This work presents the use of remote sensing data for hydrological and environmental analysis with a case of Dolomites Mountains, north Italy. The data includes remote sensing based micrometeorological measurements key hydrological parameters to calculate vertical turbulent fluxes within atmospheric boundary layers in coniferous forests. The period of measurements covered data from 2015. The operational workflow included statistical data processing in which the data were classified into categories of evapotranspiration, temperatures, precipitation, water pressure deficit and radiation obtained from various land cover types. The approach was implemented with aim at climate change and hydrological research and implications in forest ecohydrology in European Alps.

AB - This work presents the use of remote sensing data for hydrological and environmental analysis with a case of Dolomites Mountains, north Italy. The data includes remote sensing based micrometeorological measurements key hydrological parameters to calculate vertical turbulent fluxes within atmospheric boundary layers in coniferous forests. The period of measurements covered data from 2015. The operational workflow included statistical data processing in which the data were classified into categories of evapotranspiration, temperatures, precipitation, water pressure deficit and radiation obtained from various land cover types. The approach was implemented with aim at climate change and hydrological research and implications in forest ecohydrology in European Alps.

KW - data analysis

KW - environment

KW - modelling

KW - Python

KW - statistical analysis

UR - https://revista-constructii.univ-ovidius.ro/2025/05/04/doi-10-2478-ouacsce-2025-0001/

U2 - 10.5281/zenodo.17209554

DO - 10.5281/zenodo.17209554

M3 - Article

VL - 27

SP - 1

EP - 8

JO - Ovidius University Annals Series: Civil Engineering

JF - Ovidius University Annals Series: Civil Engineering

SN - 2392-6139

IS - 1

ER -

ID: 141784956