Jakub Chruściński

Ms. Jakub Chruściński


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 November 2018 in Sustainability
Verified
Journal Article
Open access
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Jan KazakJan Kazak
Jan Kazak
JCJakub Chruściński
Jakub Chruściński
Szymon SzewrańskiSzymon Szewrański
Szymon Szewrański
In order to maximise the benefits of green infrastructure in a city’s structure for urban adaptation to climate change, there is a need to support decision-makers in the urban design domain with adequate information that would help them to locate such green infrastructure in the most suitable places. Therefore, the aim of this study was to develop a novel decision support system (DSS) for the location of green infrastructure. The goal of the designed solution is to inform users about the location of urban hydrological sinks, which gather stormwater in urban watersheds, and the amount of water which could accumulate in each location depending on the defined precipitation and the soil’s moisture conditions. The designed DSS is based on a multicomponent methodology including both atmospheric and soil conditions. The DSS was tested using a sample that presents the results of stormwater accumulation calculations. The obtained results show which green areas are the most suitable locations for green infrastructure solutions and which facility is optimal because of its retention abilities and amount of accumulated stormwater. The application of the designed DSS allows us to maximise the benefits of the implementation of green infrastructure within the existing urban land use. The fully editable component of hydrological conditions allows for testing projections of the potential amount of accumulated water in different precipitation scenarios. The study provides a DSS for use by local authorities which enables them to concentrate actions in order to better adapt cities to climate change and environmental extremes.

26 March 2018 in Water
Verified
Journal Article
Open access
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Szymon SzewrańskiSzymon Szewrański
Szymon Szewrański
JCJakub Chruściński
Jakub Chruściński
Jan KazakJan Kazak
Jan Kazak
Małgorzata BartnikMałgorzata Bartnik
Małgorzata Bartnik
Katarzyna Tokarczyk-DorociakKatarzyna Tokarczyk-Dorociak
Katarzyna Tokarczyk-Dorociak
RŻRomuald Żmuda
Romuald Żmuda
The aim of this research is to develop the Pluvial Flood Risk Assessment tool (PFRA) for rainwater management and adaptation to climate change in newly urbanised areas. PFRA allows pluvial hazard assessment, as well as pluvial flood risk mapping. The original model was created using ArcGIS software with the ArcHydro extension, and the script was written using the Python programming language. The PFRA model effectively combines information about land cover, soils, microtopography (LiDAR data), and projected hydro-meteorological conditions, which enables the identification of the spatial and temporal distribution of pluvial flood risks in newly developed areas. Further improvements to the PFRA concern the quantification of pluvial flood-related damages, the application of high resolution precipitation data, and the optimisation of coding.

7 June 2018 in Water
Verified
Journal Article
Open access
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Szymon SzewrańskiSzymon Szewrański
Szymon Szewrański
JCJakub Chruściński
Jakub Chruściński
JHJoost van Hoof
Joost van Hoof
Jan KazakJan Kazak
Jan Kazak
Małgorzata BartnikMałgorzata Bartnik
Małgorzata Bartnik
RŻRomuald Żmuda
Romuald Żmuda
The interplay of an ever-growing number of inhabitants, sprawl development, soil sealing, changes in urban traffic characteristics, as well as observed climate trends gives rise to more frequent pluvial flooding in cities, a higher run-off of water, and an increasing pollution of surface water. The aim of this research is to develop a location intelligence system for the assessment of pluvial flooding risks and the identification of storm water pollutant sources from roads in newly-developed areas. The system combines geographic information systems and business intelligence software, and it is based on the original Pluvial Flood Risk Assessment tool. The location intelligence system effectively identifies the spatial and temporal distribution of pluvial flood risks, allows to preliminarily evaluate the total run-off from roads, and helps localise potential places for new water management infrastructure. Further improvements concern the modelling of a flow accumulation and drainage system, the application of weather radar precipitation data, and traffic monitoring and modelling.

31 December 2015 in Turyzm/Tourism
Verified
Journal Article
Open access
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MSMarta Sylla
Marta Sylla
JCJakub Chruściński
Jakub Chruściński
PDPaulina Drużyńska
Paulina Drużyńska
PPPaulina Płóciennik
Paulina Płóciennik
WOWitold Osak
Witold Osak
Business tourism plays an important role in the tourism industry of Łódź. However, compared to other Polish cities relatively few MICE meetings are organised there. The purpose of this article is therefore to analyse the opportunities and limitations for MICE tourism development in Łódź compared to the city’s potential. The accommodation services, congress locations, accessibility by different means of transportation, and its image are the factors considered in the analysis. The results indicate the most important strategic actions that are recommended in order to improve the situation of business tourism in Łódź.