scholarly journals Land Use Management in Colombo Municipal Council Area

2020 ◽  
Vol 9 (1) ◽  
pp. 3438-3445
Author(s):  
T.D.C Pushpakumara ◽  
◽  
K.G.M. Ranga ◽  
Keyword(s):  
Land Use ◽  
Spatial Data ◽  
Land Use Changes ◽  
Analysis Data ◽  
Tourist Destination ◽  
Financial Centre ◽  
Municipal Council ◽  
Changing Patterns ◽  
Gis Software ◽  
The City

Colombo city is the commercial capital and the largest city in Sri Lanka. It is located on the west coast of the island and adjacent to the Greater Colombo area which includes Sri Jayawardenepura Kotte. It is the financial Centre of the island as well as a popular tourist destination. As the vast development in the city and the increase of the need of people, People used to gather in the city as well as around the city. So the land requirement of the city is being increased in various ways. So that monitoring the land use against the land use requirement is essential to identify the land use changing patterns in the city. The objective of this study is to detect the land use changes in the Colombo city Municipal Council area between years 2000 and 2016 using spatial data, non-spatial data of Colombo city and analysis data using GIS software.

scholarly journals Suelos Y Karst, Origen De Inundaciones Y Hundimientos En Chetumal, Quintana Roo, México

2018 ◽  
Vol 14 (14) ◽  
pp. 33 ◽  
Author(s):  
Patricia Fragoso-Servón ◽  
Alberto Pereira-Corona
Keyword(s):  
Land Use ◽  
Growth Rate ◽  
Population Growth Rate ◽  
Land Use Changes ◽  
Development Program ◽  
Quintana Roo ◽  
Development Programs ◽  
Mexican Caribbean ◽  
The City ◽  
Over Time

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.

scholarly journals Relationships between landslides and land use changes in the Sanbagawa and Mikabu Belts, Shikoku, Japan

2019 ◽  
Vol 1 ◽  
pp. 1-1
Author(s):  
Roxanne Lai ◽  
Takashi Oguchi
Keyword(s):  
Land Use ◽  
Spatial Data ◽  
Landslide Susceptibility ◽  
Urban Areas ◽  
Land Use Changes ◽  
Land Abandonment ◽  
Crystalline Schist ◽  
Agricultural Abandonment ◽  
Landslide Kinematics

<p><strong>Abstract.</strong> Changing land use is an increasingly important issue as human habits, behaviors, and needs change. There has been an increase in land and agricultural abandonment in some places of the world. In Japan, movement of the population from rural to urban areas have resulted in much land and agricultural abandonment. In 2016, a land ministry survey showed that 4.1 million hectares of land in Japan had unclear ownership, with farmland making up 16.9% of the total. As vegetation cover changes after land abandonment, this temporal and spatial effect may have important effects on geomorphic processes such as landslide susceptibility and landslide kinematics.</p><p>Here we track long-term land use changes over vegetated landslide areas of the Sanbagawa and Mikabu Belts of Shikoku Island, Japan. The Sanbagawa and Mikabu Belts are metamorphic belts that run across Southwest Japan, and are home to numerous large crystalline schist landslides, including the widely-studied slow but continuously moving Zentoku landslide. Villages and communities have been built on these landslide areas due to historical and cultural factors, as well as the fertility of the soil. Consequently, given the changing land uses including land abandonment in these landslide areas over time, we use long-term high-resolution land cover vegetation datasets to examine first the long-term land use changes, and then use statistical methods to explore their relationships with landslide susceptibility and kinematics. Mapping of spatial data and their analysis using GIS constitute a core part of the research. The results suggest interconnections between land use changes and land movement.</p>

scholarly journals Testing approaches to visualize land cover/land use changes in time series with Web GIS microservice tools

2021 ◽  
Vol 4 ◽  
pp. 1-8
Author(s):  
Jesse Friend ◽  
Mathias Jahnke ◽  
Niels Walen ◽  
Gernot Ramminger
Keyword(s):  
Land Use ◽  
Time Series ◽  
Spatial Data ◽  
Web Applications ◽  
Land Use Changes ◽  
Web Gis ◽  
End User ◽  
Gis Application ◽  
Data Presentation ◽  
High Functioning

Abstract. Web applications which are high functioning, efficient, and meet the performance demand of the client are essential in modern cartographic workflows. With more and more complex spatial data being integrated into web applications, such as time related features, it is essential to harmonize the means of data presentation so that the end product is aligned with the needs of the end-user. In this paper we present aWeb GIS application built as a microservice which displays various timeseries visualizations to the user to streamline intuitiveness and functionality. The prototype provides a solution which could help to understand various ways in which current web and spatial analysis methods can be combined to create visualizations that add value to existing spatial data for cartographic workflows.

Spatial Multi-Criteria Analysis in Environmental Assessment: A Review and Reflection on Benefits and Limitations

2018 ◽  
Vol 20 (03) ◽  
pp. 1840001 ◽  
Author(s):  
Ainhoa Gonzalez ◽  
Álvaro Enríquez-de-Salamanca
Keyword(s):  
Land Use ◽  
Environmental Assessment ◽  
Spatial Data ◽  
Significant Contribution ◽  
Land Use Changes ◽  
Widespread Application ◽  
Advantages And Disadvantages ◽  
Environmental Criteria ◽  
Data Limitations ◽  
Multi Criteria Analysis

Anticipating and avoiding adverse environmental effects resulting from land-use changes and other anthropogenic interventions is the key objective of environmental assessment (EA). EA requires consideration of multiple environmental criteria to establish the receiving environment’s sensitivity and capacity to absorb change. With the increasing availability of and accessibility to spatial data, the adoption of spatial multi-criteria analysis, also known as GIS–MCA, has become a prominent technique to support EA. Using two diverging case studies, this paper reflects upon the advantages and disadvantages of applying GIS–MCA in EA reported in literature. While the significant contribution of this approach to increasing objectivity, transparency and accountability is corroborated, it is recognised that there is no one-fits-all solution. The widespread application of GIS–MCA calls for further research on the effects that methodological assumptions and data limitations may have at various planning hierarchies and decisions, and how these can be addressed to optimise the value of this technique in EA.

scholarly journals Study on Land-use Changes and Their Impacts on Air Pollution in Chengdu

Atmosphere ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 42 ◽  
Author(s):  
Wei Sun ◽  
Zhihong Liu ◽  
Yang Zhang ◽  
Weixin Xu ◽  
Xiaotong Lv ◽  
...  
Keyword(s):  
Land Use ◽  
Wind Speed ◽  
Correlation Coefficient ◽  
Urban Areas ◽  
Land Use Changes ◽  
Urban Land ◽  
Urban Land Use ◽  
Simulation Results ◽  
The City ◽  
Better Than

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.

scholarly journals CELLULAR AUTOMATA MODEL – LANDSCAPE DYNAMICS SIMULATION TOOL IN THE PROCESS OF CHANGE IN LAND USE AND COVER IN THE CITY OF GAÚCHA DO NORTE – MT

2020 ◽  
Vol XLII-3/W12-2020 ◽  
pp. 447-451
Author(s):  
E. A. L. Pinheiro ◽  
N. A. Camini ◽  
M. R. S. Soares ◽  
S. S. Sumida
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Land Use Change ◽  
Land Use Changes ◽  
Environmental Modeling ◽  
Dynamics Simulation ◽  
Cellular Automata Model ◽  
The City ◽  
Land Use And Cover ◽  
Main Factor

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.

scholarly journals PREDIKSI SPASIAL DINAMIKA AREAL TERBANGUN KOTA SEMARANG DENGAN MENGGUNAKAN MODEL REGRESI LOGISTIK

2016 ◽  
Vol 18 (2) ◽  
pp. 95 ◽  
Author(s):  
Irmadi Nahib
Keyword(s):  
Land Use ◽  
Logistic Regression ◽  
Cellular Automata ◽  
Land Cover ◽  
Open Space ◽  
Land Use Changes ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Rate Of Increase ◽  
The City

<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>

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
Keyword(s):  
Land Use ◽  
Rural Areas ◽  
Land Use Changes ◽  
The City

scholarly journals Temporal changes of sediment dynamics within the Nairobi River sub-basins between 1998-2006 time scale, Kenya

2010 ◽  
Vol 42 (1) ◽  
pp. 17-22 ◽  
Author(s):  
Shadrack Kithiia ◽  
Boniface Wambua
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Time Scale ◽  
Land Use Changes ◽  
Management Strategies ◽  
Temporal Changes ◽  
Sediment Dynamics ◽  
Eastern Africa ◽  
Agricultural System ◽  
The City

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.

scholarly journals ASSESSMENT ON THE IMPLEMENTATION OF PLOT RATIO AS A DEVELOPMENT CONTROL TOOL IN GEORGE TOWN, PENANG

2021 ◽  
Vol 19 (15) ◽  
Author(s):  
Syafiqah Humairah Abd Razak ◽  
Izuandi Yin
Keyword(s):  
Land Use ◽  
Building Height ◽  
The Road ◽  
Development Control ◽  
Ratio Limit ◽  
Plot Ratio ◽  
Gis Software ◽  
George Town ◽  
The City ◽  
Control Tool

This paper investigates the changes of buildings to what extent the regulations related to plot ratio are implemented in the city of George Town, Penang, give impact on land use distribution. This study used a quantitative method by conducting field observations to identify building heights in the city of George Town, which was divided into two segments of the road. Then, GIS software was also used as one of the instruments to map the compliance analysis on study area in the city for the development control tool. The results show that quantitatively, the buildings along Jalan Dato Keramat that have been monopolised by residential activities acquire a higher building height and the maximum of plot ratio caps. There is only a small portion in Jalan Gurdwara that complies with the plot ratio limit. However, the characteristics of the area were determined by several parameters, such as building height, zoning land use activities, and building conformity. Thus, more detailed regulations regarding the changes in shape and plot ratio cap according to zoning activities on the exact location and activities are highly required.

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