scholarly journals Land Use Changes in Peripheral Rural Areas of the City Parts Bratislava

2012 ◽  
Vol 16 (1) ◽  
pp. 96-105
Author(s):  
Blažena Hógelová ◽  
Marián Kulla ◽  
Peter Spišiak
Land ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 57
Author(s):  
Fernando Allende Álvarez ◽  
Gillian Gómez-Mediavilla ◽  
Nieves López-Estébanez ◽  
Pedro Molina Holgado ◽  
Judith Ares Barajas

The present paper highlights the importance of hedgerows and enclosures in the mountains of Central Spain. Now, these landscapes have suffered profound variations in terms of agroforestry practices, especially in the Mediterranean mountains where the characteristic multifunctional has largely been lost. The article analyzes land uses changes, dynamics, and their morphological features between the first half of the 20th Century (1956) and the second decade of the present time (2019). The paper was divided into three sections. First, the identification of land uses using orthophotograph and aerial photograph; after that the info was checked with fieldwork. Eleven categories were identified according to the dominant use and land use changes and size of land parcels were taken into consideration. Second, the configuration and the information collected through the type and intensity of change in land uses made it possible to recognise and quantify their distribution and trend between these two dates. Also, the kernel density algorithm available in the Arcgis 10.5 software was used to obtain density and changes in land parcels. Finally, an overview is given of the main role that this agroforestry plays due to the social, ecological, and economic benefits that they provide for allowing sustainable development.


2018 ◽  
Vol 14 (14) ◽  
pp. 33 ◽  
Author(s):  
Patricia Fragoso-Servón ◽  
Alberto Pereira-Corona

The Mexican Caribbean and its main cities have the highest population growth rate in Mexico. This work goal was to analyze the growth of the city of Chetumal and the geopedological characteristics in which it has been developed, to identify potential hazards and thereby improve development programs. The methodology consisted in the study of geopedological characteristics and the analysis of land use changes in the city over time. The main problems of Chetumal are floods and subsidence. Floods are more common in areas where Gleysols soils are found in low-lying areas. The subsidence is associated to Leptosols with a phreatic mantle at a shallow depth where the precipitations favors dissolution of rock. The extrapolation of the relationships between geopedological conditions and the area occupied by the city, allows us to suppose that areas which the current Urban Development Program proposes for future city expansion will develop the same problems of subsidence and flooding as the areas already built in sites with similar conditions.


Atmosphere ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 42 ◽  
Author(s):  
Wei Sun ◽  
Zhihong Liu ◽  
Yang Zhang ◽  
Weixin Xu ◽  
Xiaotong Lv ◽  
...  

The expansion of urban areas and the increase in the number of buildings and urbanization characteristics, such as roads, affect the meteorological environment in urban areas, resulting in weakened pollutant dispersion. First, this paper uses GIS (geographic information system) spatial analysis technology and landscape ecology analysis methods to analyze the dynamic changes in land cover and landscape patterns in Chengdu as a result of urban development. Second, the most appropriate WRF (Weather Research and Forecasting) model parameterization scheme is selected and screened. Land-use data from different development stages in the city are included in the model, and the wind speed and temperature results simulated using new and old land-use data (1980 and 2015) are evaluated and compared. Finally, the results of the numerical simulations by the WRF-Chem air quality model using new and old land-use data are coupled with 0.25° × 0.25°-resolution MEIC (Multi-resolution Emission Inventory for China) emission source data from Tsinghua University. The results of the sensitivity experiments using the WRF-Chem model for the city under different development conditions and during different periods are discussed. The meteorological conditions and pollution sources remained unchanged as the land-use data changed, which revealed the impact of urban land-use changes on the simulation results of PM2.5 atmospheric pollutants. The results show the following. (1) From 1980 to 2015, the land-use changes in Chengdu were obvious, and cultivated land exhibited the greatest changes, followed by forestland. Under the influence of urban land-use dynamics and human activities, both the richness and evenness of the landscape in Chengdu increased. (2) The microphysical scheme WSM3 (WRF Single–Moment 3 class) and land-surface scheme SLAB (5-layer diffusion scheme) were the most suitable for simulating temperatures and wind speeds in the WRF model. The wind speed and temperature simulation results using the 2015 land-use data were better than those using the 1980 land-use data when assessed according to the coincidence index and correlation coefficient. (3) The WRF-Chem simulation results obtained for PM2.5 using the 2015 land-use data were better than those obtained using the 1980 land-use data in terms of the correlation coefficient and standard deviation. The concentration of PM2.5 in urban areas was higher than that in the suburbs, and the concentration of PM2.5 was lower on Longquan Mountain in Chengdu than in the surrounding areas.


2017 ◽  
Vol 45 (2) ◽  
pp. 611-622 ◽  
Author(s):  
Alenka FIKFAK ◽  
Velibor SPALEVIC ◽  
Saja KOSANOVIC ◽  
Svetislav G. POPOVIC ◽  
Mladen DJUROVIC ◽  
...  

Land development analyses play a fundamental role in understanding how land use change shapes the land, depending on continuously changing social, economic, and environmental factors that reflect the interests in space. It is especially important to follow land use changes in rural areas due to their role in food security, environmental hazards, cultural landscape preservation, etc. Continuous analyses and monitoring of land use changes allow for the identification and prevention of negative trends in land use (over intensification, land fragmentation, etc.) that might affect biodiversity, change physical and chemical properties of soil, causing soil degradation, change the spatial balance, stability and natural equilibrium in the rural area. The use of the cross-tabulation matrix methodology was suggested for land use change analyses. The methodology, when the cross-tabulation matrix elements are correctly interpreted, allows us to gain as much insight as possible in the process of land use change. This approach enabled a detailed analysis of vineyards in Goriška brda, Slovenia. It was found that the existing methodology fails to analyse the location of change. For this reason, additional analyses of spatial distribution of change and of the locations where changes in space occur were suggested. The study demonstrated that the land use category of vineyards changes systematically, although seemingly randomly. By comparing land use categories over several time periods, the study determined that the size and speed of change varied across different time intervals. The identified land use changes were assessed in the context of their high pressure on agricultural land. The results of the analyses showed different trends shaping the typical agrarian landscape in Goriška brda.


Author(s):  
E. A. L. Pinheiro ◽  
N. A. Camini ◽  
M. R. S. Soares ◽  
S. S. Sumida

Abstract. The factors that contribute to land use change in the municipality of Gaúcha do Norte - MT, are entirely linked to the economic process and agricultural production. This process has left Brazil in a state of alert due to the process of deforestation and loss of tropical forests. From 2000 to 2010, the forest areas converted into agriculture accounted for 13.3%, the main factor that directly potentiated with deforestation was the cultivation of soybeans, which in turn was occupying places previously occupied by livestock and pushing the livestock forest inside. The phenomena of land use change and land cover start from multidimensional issues in the environmental and economic context. The use of environmental modeling through cellular automata to analyze land use change phenomena and reproduce the trajectory through future land use simulations and evolution establishes an integration associated by mathematical models and flow integration systems. That predict the trajectory of land use change, thus generating a dynamic model capable of predicting future land use changes by replicating possible patterns of landscape evolution and enabling assessments of future ecological implications for the environment.


2016 ◽  
Vol 18 (2) ◽  
pp. 95 ◽  
Author(s):  
Irmadi Nahib

<p class="JudulABSInd"><strong>ABSTRAK</strong></p><p class="abstrak">Salah satu indikator perkembangan fisik wilayah kota dapat diidentifikasi melalui fenomena perubahan tutupan lahan bervegetasi menjadi lahan terbangun. Perubahan lahan tersebut dapat berdampak terhadap penurunan kualitas lingkungan, akibat berkurangnya ruang terbuka hijau. Kota Semarang dengan visi terwujudnya Semarang sebagai kota perdagangan dan jasa yang berbudaya menuju masyarakat sejahtera, merupakan  wilayah yang rentan mengalami perubahan penggunaan lahan yang cenderung kearah lahan terbangun. Penelitian ini mengintegrasikan model <em>Cellular Automata</em> (CA) dan regresi logistik biner untuk memprediksi dinamika lahan terbangun di Kota Semarang. Citra yang digunakan adalah Citra Ikonos 2002, Ikonos 2006 dan <em>Quic</em><em>kbird</em> 2012. Model CA pada penelitian ini digunakan untuk memprediksi sebaran penutup lahan tahun 2022 dan 2032 dengan mempertimbangkan jarak terhadap jalan, jarak terhadap sungai, jarak terhadap lahan terbangun, ketinggian, kepadatan penduduk, <em>evidence likelihood </em>perubahan lahan dan indeks pengembangan kelurahan yang diakomodasi dalam peta sub-model transisi hasil model regresi logistik biner. Hasil penyusunan model ini adalah peta prediksi penutup lahan dengan akurasi 78,21 % validitas model yang dihasilkan dapat dikategorikan “<em>moderate</em>” mengindikasikan bahwa peta yang dihasilkan dapat digunakan. Hasil pemodelan menunjukkan bahwa Kota Semarang pada tahun 2022 terjadi pertambahan luas lahan terbangun rata-rata 284 ha/tahun dan pada tahun 2032 rata-rata 226 ha/tahun.</p><p><strong><em>Kata </em></strong><strong><em>k</em></strong><strong><em>unci</em></strong><em>: </em><em>cellular automata, pemodelan, regresi logistik biner, lahan terbangun</em></p><p class="judulABS"><em><strong>ABSTRACT</strong></em></p><p class="Abstrakeng">One indicator of the physical development of the city can be identified by phenomenon of land expansion, vegetated land cover changes to be built-up area. The land use changes can impact to environmental degradation, due to reduced green open space. Semarang as a city of trade and services cultured toward a prosperous community, a region that is vulnerable to changes in land use tends toward small plots. This research integrates the model of Cellular Automata (CA) and binary logistic regression to predict the dynamics of builtup area in the city of Semarang. The image used is a Ikonos imagery (2002), Ikonos imagery (2006) and Quickbird (2012). Model CA in this research use to predict the distribution of land cover 2022 and 2032 with respect to: distance to roads, the distance to the river, the distance to the built-up area, elevation, population density, evidence likelihood of land use change and development villages index were accommodated in the map sub-model transition binary logistic regression model results. The results of this study are predictive maps of built-up area  with an accuracy of 78,21 % so that the validity of the resulting model can be categorized as "moderate", indicates that the probability map is valid. Modeling results showed that Semarang City in 2022 predicted rate of increase of  built-up area an average 284  ha / year and in 2032 rate of increase of built-up area an average 226 ha / year.</p><p><strong><em>Keywords</em></strong><em>: cellular automata, modelling, binary logistic regression, built-up area</em></p>


Author(s):  
Shadrack Kithiia ◽  
Boniface Wambua

Temporal changes of sediment dynamics within the Nairobi River sub-basins between 1998-2006 time scale, Kenya The city of Nairobi is the heart of both industrial production and the economic hub in Kenya and the Eastern Africa region. The city of Nairobi and its environs are drained by three streams, namely: Nairobi, Mathare and Ngong rivers. These streams drain areas of diverse land use activities. The land use changes in a spatial manner from the rich agricultural system through residential cum urban to industrial. The significance of these various land use systems to pollutants generation, pollution, sediment generation and hence water pollution and quality degradation is quite enormous and worth investigation. The land use changes in a spatial manner making the basin ideal for a temporal variation of sediments yields along the river profile and their impacts on the water quality status. This paper examines the results of study carried out within the basins in the years 1998-2006. The method of study involved water sampling and laboratory analysis to reveal the trends in sediment load increases downstream the investigated streams. Soil samples were also investigated to determine their relationship to soil erosion rates and sediment fluxes. The study attempts further to find the best sediment management strategies in reversing their increasing trends and restoring water quality within the basin.


2021 ◽  
Vol 1 (11) ◽  
Author(s):  
Setya Etika Mulyasari ◽  
Suyanto Suyanto ◽  
Gusti M. Hatta ◽  
Bambang Joko Priatmadi

Banjarbaru City is one of the cities in South Kalimantan Province which is developing quite rapidly from year to year. Hence,  it is necessary to research and study changes in land use and their suitability with the city development plan. The purpose of this study is to examine changes in the area and types of land use changes in Banjarbaru City within a period of 8 years, from 2013 to 2021, determine the rate of land use change, and assess the suitability of land use changes to the applicable Banjarbaru City spatial plan. This research method is an overlay to see changes in land use and the suitability of changes in land use with the direction of spatial functions in the Regional Spatial Plan. The result of this research is that in an area of ​​16,414.00 ha (53.7%) there is a change in land use in Banjarbaru City in the period 2013-2021. The biggest land use changes are dry land agriculture, vacant land, wetland agriculture, housing, and villages. The use of dry land  and agricultural land has the largest decrease in area, which is 15,090.71 ha or a decrease of 365.5%. The use of vacant land increased in an area of ​​14,715.684 hectares or an increase of almost 4 times. Wetland agriculture has decreased in an area which is reduced by 986.55 ha or decreased by 65.8%. The use of land for housing/residential in the form of housing or villages has also undergone considerable changes. The use of residential land has increased by 528.105 hectares (44.626%) and the village area to 444.32 ha (21.2%). The suitability of land use with the RTRW in Banjarbaru City is 16,742.86 ha (54.8%) categorized as appropriate, while an area of ​​13,779.69 ha (45.2%) is categorized as not in accordance with the applicable RTRW.


Author(s):  
Barbara PRUS ◽  
Stanisław BACIOR ◽  
Małgorzata DUDZIŃSKA

Intensity of land use could be considered as an indicator of rate of anthropogenic impact on landscape (CAI) and the coefficient of ecological stability (CES). These two bio-indexes are based on the land use categories. The CAI coefficient is the ratio of the sum of percentile areas of land characterized by considerable human impact in relation to the sum of percentile areas of lands with low or none anthropogenic pressure. The CES index describes the structure of land use in one unit according to land use categories weighted by given coefficients. The calculation of the complex integral index enables to know the potential of the environment, i.e. a natural resource reserve with a structure that allows self-regulation of ecosystems and expresses the environment's resistance to bearing anthropogenic loads. The aim of the study is to analyze the historical land use changes (in the period of 1845-2016) in rural areas of Southern Poland using bio-indexes such as the anthropogenic impact on landscape (CAI) and the coefficient of ecological stability (CES). The analysis led to the conclusion about the strong dynamics of changes during this period which is largely due to the growth of the percentile areas of lands with considerable human impact especially after the historical transformation in 1989 in Poland. At the same time, the attention should be paid to the land use changes as an effect of growing suburbanization. The results of the study can be used by public authorities, citizens and governing bodies to form a system of measures to calculate environmental potential and modelling changes which ensure the environmental protection and sustainable development of rural areas.


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