National Level Land-Use Changes in Functional Urban Areas in Poland, Slovakia, and Czechia

Assessing land use changes' effect on river water quality in the Dez Basin using land change modeler

Changes in land use due to urbanization, industrialization, and agriculture will adversely affect water quality at all scales. This study examined the possible effects of future land use on the water quality of the Dez River located in Iran. The QUAL2Kw dynamic model was used to simulate the water quality of the Dez River. Data and information available in July 2019 and 2013 were used for calibration and validation. According to the comparison of the RMSE, RMSE%, and percent bias error indices for the model during the calibration and validation period, the QUAL2Kw model of Dez River had high accuracy with acceptable values of errors. The land use changes in the Dez river basin were modeled and predicted by the LCM model after simulating water quality. The images from Landsat 8/OLI were used for 2013, 2016, and 2019, respectively. Based on the accurate evaluation of classified images, Kappa coefficients for 2013, 2016, and 2019 were 88.19, 87.46, and 89.91, respectively. Modeling land use and land cover changes was conducted to predict 2030. As a result of the study, agricultural and built-up areas and water bodies will increase in 2030. The possible effects of land use changes in 2030 on river water quality were examined as a final step. Based on the results of the water quality simulation in 2030, biochemical oxygen demand, chemical oxygen demand, and NO₃ parameters exceeded the maximum permissible level of drinking standard. This study recommends frequent water quality monitoring and LULC planning and management to reduce pollution in river basins.

Land Use Mix in Functional Urban Areas of Selected Central European Countries from 2006 to 2012

The land use mix (LUM) is among the critical issues in spatial planning because it can determine the occurrence and structure of various land use and cover types (LUC) and prevent any adverse patterns. The paper focuses on the LUM in functional urban areas (FUAs) in Czechia, Slovakia, Poland, and Hungary. The research employed Urban Atlas (UA) data on LUC in 2006 and 2012 to characterise LUM in the FUAs. The research follows the division of the FUA into the urban area (urban core, UC) and its functional surroundings (commuting zones, CZ). We further characterised the phenomena investigated for the entire country, region, and Europe using Corine Land Cover (CLC) data. The LUM was quantified with the entropy index (EI), dissimilarity index (DI), and multi-dimensional balance index (MBI). The EI demonstrated that the investigated FUAs went through more substantial LUM changes than the 27 European Union member states (EU27) from 2006 to 2012. Moreover, it has been demonstrated that LUM overspill was more intensive in CZs than in UCs on the regional and national levels. We found out that urbanised areas grew at the expense of agricultural areas in both UCs and CZs with similar dynamics in 2006-2012 in all the analysed countries.

Land Take Processes and Challenges for Urban Agriculture: A Spatial Analysis for Novi Sad, Serbia

Food security is becoming an increasingly important issue worldwide, and in this respect, urban agriculture has a substantial role. Nonetheless, pressure for agricultural land conversion and fragmentation is highest in peri-urban areas. In order to respond to these challenges, urban farmers use different adaptation strategies and business models, including product differentiation based on geographical indications (GIs). The paper considers land take (LT) issues in Futog, the settlement of the City of Novi Sad, registered as the GI of Futog cabbage, as an illustrative example which reflects the attitude of land use policy and planning in Serbia towards the specific conditions and requirements that growers of GIs have to meet. The purpose of this study is to identify the role of urban land use planning within LT processes and the implications this has on urban agriculture, accordingly. The supporting framework used for quantifying LT in the period 2000–2018 was CORINE Land Cover (CLC), specifically Urban Atlas (UA) datasets for two time series between 2012 and 2018. Since a significant part of agricultural land registered as a GI in Futog was planned for conversion into construction land, the authors conclude that current forms of land use planning in Serbia are not adequate to ensure the protection of either urban agriculture or GIs. Given that there is a clear correlation between GI products and their place of origin, this study recognized the necessary inclusion of all protected agricultural areas, as well as areas with GIs, into legislation binding for land use planning in Serbia, with limitations in terms of new LT.

Photovoltaic Solar Energy from Urban Sprawl: Potential for Poland

Urban sprawl is a process that shapes contemporary urban spaces. Generally, this process is associated with negative effects due to the generation of high costs. However, not all the effects of urban sprawl should be considered in the context of the increasing costs of the use of space; some of them should be regarded as cost cutting factors, for example, the possibility of the use of roofed areas in generating energy from sunlight. Solar energy is believed to be one of the sources of clean energy that reduce pollution and greenhouse gas emissions into the atmosphere. However, solar energy generation necessitates the development of large areas for the purpose of installing photovoltaic modules and substantial funds for creating large solar farms. For this reason, a significant role in state energy policies is played by small dispersed installations mounted on the roofs of buildings. There is a gap in existing research on the assessment of urban sprawl in terms of the potential use of rooftops for solar installations in suburban areas. This research gap has not yet been filled, either conceptually and methodologically. Hence, the contribution of the research to the development of the current state of knowledge involves the identification of economic and environmental benefits of usually negatively perceived urban sprawl. The proposal of a method for the identification of suburban housing potential for solar energy generation constitutes another addition to the state of knowledge. The main objective of this article is to analyse the energy generating potential of buildings located in suburban and urban areas characterised by the confirmed occurrence of urban sprawl phenomena. CityGML data were used to conduct an analysis of the exposure of roofs to sunlight using algorithms based on vector data. The authors estimated the dynamics of changes in time and referred the existing photovoltaic installations to the total potential of a selected area. The use of the energy potential of the analysed roofs of buildings was used to evaluate the external costs and benefits of spatial planning. The discussion presented the current conditions of the energy sector and energy policies in Poland and the EU. In addition, recommendations were proposed for local spatial policies concerning the mitigation of the effects of suburbanization in the context of developing the system of PV micro-installations.

Modeling and Prediction of Land Use Land Cover Change Dynamics Based on Land Change Modeler (LCM) in Nashe Watershed, Upper Blue Nile Basin, Ethiopia

Change of land use land cover (LULC) has been known globally as an essential driver of environmental change. Assessment of LULC change is the most precise method to comprehend the past land use, types of changes to be estimated, the forces and developments behind the changes. The aim of the study was to assess the temporal and spatial LULC dynamics of the past and to predict the future using Landsat images and LCM (Land Change Modeler) by considering the drivers of LULC dynamics. The research was conducted in Nashe watershed (Ethiopia) which is the main tributary of the Upper Blue Nile basin. The total watershed area is 94,578 ha. The Landsat imagery from 2019, 2005, and 1990 was used for evaluating and predicting the spatiotemporal distributions of LULC changes. The future LULC image prediction has been generated depending on the historical trends of LULC changes for the years 2035 and 2050. LCM integrated in TerrSet Geospatial Monitoring and Modeling System assimilated with MLP and CA-Markov chain have been used for monitoring, assessment of change, and future projections. Markov chain was used to generate transition probability matrices between LULC classes and cellular automata were used to predict the LULC map. Validation of the predicted LULC map of 2019 was conducted successfully with the actual LULC map. The validation accuracy was determined using the Kappa statistics and agreement/disagreement marks. The results of the historical LULC depicted that forest land, grass land, and range land are the most affected types of land use. The agricultural land in 1990 was 41,587.21 ha which increased to 57,868.95 ha in 2019 with an average growth rate of 39.15%. The forest land, range land, and grass land declined annually with rates of 48.38%, 19.58%, and 26.23%, respectively. The predicted LULC map shows that the forest cover will further degrade from 16.94% in 2019 to 8.07% in 2050, while agricultural land would be expanded to 69,021.20 ha and 69,264.44 ha in 2035 and 2050 from 57,868.95 ha in 2019. The findings of this investigation indicate an expected rapid change in LULC for the coming years. Converting the forest area, range land, and grass land into other land uses, especially to agricultural land, is the main LULC change in the future. Measures should be implemented to achieve rational use of agricultural land and the forest conversion needs to be well managed.

Changes in Landscape Structure in the Municipalities of the Nitra District (Slovak Republic) Due to Expanding Suburbanization

Suburbanization, as a set of several factors, influences and changes the landscape structure of smaller municipalities in the hinterland of larger cities. The purpose of this paper is to evaluate the built-up areas related to suburbanization within three time horizons—in 2002, 2005, and 2020—in 62 municipalities of the district (including two cities, Nitra and Vráble). This study examines the process of spatial changes in landscape features (residential, industrial, agricultural, transport) related to suburbanization between 2002 and 2005 and between 2002 and 2020. The input analytical data were digital orthophotomaps from 2002 and 2005 and the current orthophotomosaics of the Slovak Republic from 2017 (GKÚ, Bratislava), updated for the year 2020 using Sentinel 2 satellite image data (European Space Agency). The impact of suburbanization processes between 2002 and 2005 did not reach the dimensions of the changes that occurred due to suburbanization processes between 2002 and 2020 or 2005 and 2020. The main research objective of the article is the identification and assessment of these changes. We determined which landscape features related to suburbanization affected spatial changes in municipalities of the district Nitra. The total area affected by one of the suburbanization processes monitored by us reached 92.52 ha in the period between 2002 and 2005. Between the years 2002 and 2020, the area reached a total of 2272.82 ha, which is an increase of 2180.30 ha in 2020 compared to 2002. This included mainly the expansion of settlements or housing (60.15%), industrial areas (29.31%), transport facilities (4.35%), agricultural areas (0.73%), and other areas (5.46%). These results show expanding suburbanization for the period from 2002 to 2020 and that this process has been gaining momentum in the municipalities of the Nitra district, especially in recent years, which changes the look of rural municipalities and the character of a typical rural landscape.