Seasonality of mean flows as a potential tool for the assessment of ecological processes: Mountain rivers, Polish Carpathians

Artur Radecki-Pawlik , Andrzej Wałęga , Dariusz Młyński , Wojciech Młocek , Rafał Kokoszka , Tamara Tokarczyk , Wiwiana Szalińska

Abstract

The classification of river catchments according to their hydrological regime is crucial elements of regionalisation. In absence of hydrological data, the regionalisation of catchment method may be used to asses many flows characteristics like regime or design flow and thus provide help in the analysis of hydrological and ecological processes and also in the management of water resources. Correct clarification of catchments requires knowledge about the main factors that influence on river regime, like meteorologic conditions, land cover/land use, geology, soil properties terrain features, human activities. The aim of the study was to analyse the relationship between selected catchment attributes along with precipitation climatology and seasonality of mean flows (MQ) in the mountainous rivers in the Upper Vistula basin (the biggest and the most important river in Poland) and regionalisation catchments based on seasonality index. To achieve the objective of the study, we concentrated on the mountain stream and river catchments that are regionalised to the Upper Vistula basin (all of which are Vistula tributaries) and we employed the Colwell's seasonality index in an attempt to clear up the said ecohydrological measures. The study confirmed that in mountainous catchments, where response time to rainfall is shorter due to larger slopes, higher seasonality of mean monthly discharges, as expressed by the seasonality index M, is observed. In this case, variability of seasonal rainfall affected seasonality of MQ. In case of smaller slopes and large forest cover and catchment areas, seasonality of flows was lower. The innovative aspect of the presented study is the attempt to correlate the Colwell's seasonality index with the physiographic and meteorological characteristics of the catchment. Until now, the characteristics of the catchments have been used as factors differentiating the hydrological regime of the catchments, thus allowing for agglomeration of similar catchments. Our results foster better understanding of the natural processes in the river basin, which definitely would help in better management of the environment and its relationship with huge number of people living there and depend on it. These results show that the regression tree methods based on CART algorithm can be used as effective tool for classification of catchments.
Author Artur Radecki-Pawlik - Politechnika Krakowska
Artur Radecki-Pawlik,,
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, Andrzej Wałęga (FoEEaLS / DoSEaWM)
Andrzej Wałęga,,
- Department of Sanitary Engineering and Water Management
, Dariusz Młyński (FoEEaLS / DoSEaWM)
Dariusz Młyński,,
- Department of Sanitary Engineering and Water Management
, Wojciech Młocek (FoEEaLS / DoAM)
Wojciech Młocek,,
- Department of Applied Mathematics
, Rafał Kokoszka - MGGP S.A., Kraków
Rafał Kokoszka,,
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, Tamara Tokarczyk - Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
Tamara Tokarczyk,,
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, Wiwiana Szalińska - Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
Wiwiana Szalińska,,
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Journal seriesScience of the Total Environment, ISSN 0048-9697, e-ISSN 1879-1026, (N/A 200 pkt)
Issue year2020
Vol716
Pages1-15
Publication size in sheets0.7
Article number136988
Keywords in EnglishRegression trees, Seasonality of flows, Mountain catchments, Substrate permeability, Regionalisation
ASJC Classification2304 Environmental Chemistry; 2305 Environmental Engineering; 2310 Pollution; 2311 Waste Management and Disposal
DOIDOI:10.1016/j.scitotenv.2020.136988
URL https://www.sciencedirect.com/science/article/pii/S0048969720304988
Languageen angielski
Score (nominal)200
Score sourcejournalList
Publication indicators WoS Citations = 0; Scopus SNIP (Source Normalised Impact per Paper): 2016 = 1.849; WoS Impact Factor: 2019 = 6.551 (2) - 2019=6.419 (5)
Citation count*
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FinansowanieThe research was supported by the Ministry of Science and Higher Education of the Republic of Poland for the University of Agriculture in 2018 year and by the Cracow University of Technology, Faculty of Civil Engineering ( L4/106/2018/DS). This support is gratefully acknowledged.
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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