scholarly journals FUTURE PREDICTION OF THE EXPANSION OF BUILT-UP AREAS IN BATAM FREE TRADE ZONE (FTZ) USING LAND CHANGE MODELER

Author(s):  
R. Fakhira ◽  
A. Cahyono

Abstract. The establishment of Batam City as a Free Trade Zone (FTZ) encourages the city’s growth, as manifested in massive built-up area expansion. The aim of this paper was to analyze the pattern of built-up area expansion in FTZ Batam in 2035 based on the corresponding pattern from 2000 to 2015. Land Change Modeler (LCM) was the instrument used to determine and analyze land cover changes in 2000–2015, from which future changes or built-up area expansion in 2035 were predicted using the validated 2020 land cover map as reference. The validation test based on the Kappa Index of Agreement yielded 96%. The prediction results showed that, compared with 2020, the built-up area in 2035 would have increased by 31.8% and expanded towards the outskirts of FTZ Batam. This sprawl follows the location of the primary activity centers in the FTZ, as allocated in Presidential Regulation of the Republic of Indonesia No. 87 of 2011. A new expansion is expected to continue into existing open space and extensive untouched forest areas. These research findings provide a concept that can be utilized to formulate certain policies and regional planning in the future.

2020 ◽  
Vol 52 (3) ◽  
pp. 306
Author(s):  
Murtala Dangulla ◽  
Latifah Abd Manaf ◽  
Firuz Ramli Mohammad

Urbanization is currently one of the most pressing environmental issues which cuts across all countries at unprecedented rates and intensities, with far reaching consequences on ecosystems, biodiversity and human wellbeing. This paper assessed urban expansion and land use/land cover changes in Sokoto metropolis, North-western Nigeria using Remote Sensing and GIS. Landsat images of 1990, 1999 and 2015 were processed for LULC classification and change detection using the Maximum Likelihood Classification, Post Classification Comparison techniques and the Land Change Modeler. The classification revealed five broad land cover classes which include Built-up Area, Farmland, Green Area, Open Space and Wetland/Water. The Built-up and Green areas continuously increased while Farmland and Open space decreased throughout the study period. The metropolis expanded radially at a faster rate between 1999 and 2015 with the highest rate of increase (1890.5ha per annum) recorded in the Built-up Area. This implies a doubling time of approximately 30 years at the expense of Farmland and Open space which may be completely exhausted in 40 and 29 years respectively. Infrastructural provision should thus align with the rate and direction of growth and where the Green Area is converted, replacement should be made to ensure continued supply and stability of the numerous ecosystem services green areas provide.


2015 ◽  
Vol 26 (45) ◽  
pp. 79
Author(s):  
Nayara Lage Silva ◽  
Bráulio Magalhães Fonseca

<p>O mapeamento do uso e cobertura do solo por meio da utilização de dados de sensoriamento remoto e técnicas de processamento digital de imagens tem se difundindo globalmente por permitir uma análise espacial e dinâmica das tipologias de uso e cobertura. A mineração é uma das atividades transformadoras do meio que mais causa impactos aos ambientes naturais, mesmo que de maneira concentrada, devido ao fator de rigidez locacional da atividade. É uma atividade que demanda controle ambiental em todo processo para reduzir os impactos negativos e garantir o equilíbrio dos processos ambientais. Neste contexto o trabalho objetivou:  1 - realizar uma análise multitemporal da cobertura do solo no município de São Thomé das Letras, no estado de Minas Gerais; 2 - quantificar e espacializar as alterações no período determinado entre 1984 a 2011.  Buscou-se visualizar o comportamento da atividade de mineração desde seu início até os dias atuais, e consequentemente, observar a dinamicidade das mudanças ocorridas na cobertura do solo das outras classes mapeadas. Para o mapeamento do uso e cobertura do solo foi utilizado o programa SPRING/INPE e para a análise temporal/espacial de mudanças utilizou-se o modelo <em>Land Change Modeler</em> acoplado ao programa IDRISI. A partir da análise dos resultados foi possível quantificar e espacializar o avanço da mineração sob o campo rupestre/afloramento rochoso; a perda substancial da vegetação densa no intervalo do período analisado; o crescimento exponencial da ocupação urbana; e o surgimento da atividade reflorestamento.</p><p><strong>Palavras-chave:</strong> Análise multitemporal. Uso e Cobertura do Solo. <span lang="EN-US">Mineração. Sensoriamento Remoto.</span></p><p> </p><p><strong><span lang="EN-US">Abstract</span></strong></p><p><span lang="EN-US">The land use and land cover mapping using remote sensing data and techniques of digital image processing has been widely used by enabling a dynamic spatial analysis of  land use and land cover types. Mining is a human activity that transforms the landscape and is one of the most impactful for natural environments, even in a concentrated way, due to locational rigidity factor of activity. It is an activity that requires environmental control throughout the process to reduce the negative impacts and ensure a balance of environmental processes. In that context the study aimed to: 1 - conduct a multi-temporal analysis of land use and land cover in São Thomé das Letras municipality, in Minas Gerais State, Brazil; 2- quantify and map changes from 1984 to 2011 in the </span><span lang="EN-US">area studied. We attempted to visualize the behavior of mining activity from its inception to the present day, and therefore observe the dynamics of change in land use and land cover of other mapped classes. To map land use and land cover was used SPRING/INPE software and to analyze the changes used the Land Change Modeler model, coupled to the IDRISI software. From the analysis of the results was possible to quantify and spatialize the advancement of mining under the outcrop and Rupestrian Fields; occurred substantial loss of dense vegetation in the analyzed time range; the exponential growth of urban occupation; and the emergence of reforestation activity.</span></p><p> </p><p><strong><span lang="EN-US">Keywords: </span></strong><span lang="EN-US">Multi-temporal analysis. Land Use and Land Cover. Mining. Remote sensing.</span></p>


2018 ◽  
Vol 11 (1) ◽  
pp. 27
Author(s):  
Desi Rahmatina ◽  
Martaleli Bettiza

This study is intended to provide an analysis of the competency map of senior high school students in the Final National Exam (FNE) for mathematics subject in Free Trade Zone (FTZ) of Riau Islands province. Sample was determined by examining secondary data in the form of 2014 Final National Examination (FNE) results published by the Education Assessment Center of the Ministry of Education and Culture of the Republic of Indonesia in the FTZ of Riau Islands Province, namely Batam, Bintan, and Karimun regencies. Criteria of sample determination were schools with lower Graduate Competency Standards (GCS) than the regency/city GCS, distribution of public or private schools, and distribution of school locations, with a total sample of 37 schools. The research was conducted by using descriptive statistical method to gain a description of the senior high school students’ competency in mathematics subject based on their FNE scores. The findings of this research can be made input and consideration for schools and government to improve the quality of education through analysis of the FNE results. The research results show that low GCS achievements were found in geometry and trigonometry topics, especially in the skills of determining position, distance, and magnitude of angles involving points, lines, and fields in solid geometry. The mean percentage of GCS mastery in the FTZ was 22.86%, with Batam 26.02%, Bintan 18.66%, and Karimun 18.72%. The result of the interview shows that the low GCS is caused by the lack of teaching media in the visual forms or simulators to build students’ understanding and limited time allocated in teaching. The solution recommended to solve this problem is by applying ICT-based learning to improve students’ understanding of geometry and trigonometry materials and also the use of video conferencing during mathematics teacher working group meetings.


Author(s):  
Sajad Khoshnood Motlagh ◽  
Amir Sadoddin ◽  
Amin Haghnegahdar ◽  
Saman Razavi ◽  
Abdolrassoul Salmanmahiny ◽  
...  

2020 ◽  
Vol 12 (11) ◽  
pp. 4350
Author(s):  
Sarah Hasan ◽  
Wenzhong Shi ◽  
Xiaolin Zhu ◽  
Sawaid Abbas ◽  
Hafiz Usman Ahmed Khan

Landscape transformations in rapidly urbanizing Guangdong, Hong Kong, and Macao (GHKM) regions of South China represent the most complex and dynamic processes altering the local ecology and environment. In this study, Land Change Modeler (LCM) is applied to land use land cover (LULC) maps for the years 2005, 2010, and 2017, derived from Landsat images, with the aim of understanding land use land cover change patterns during 2005–2017 and, further, to predict the future scenario of the years 2024 and 2031. Furthermore, the changes in spatial structural patterns are quantified and analyzed using selected landscape morphological metrics. The results show that the urban area has increased at an annual rate of 4.72% during 2005–2017 and will continue to rise from 10.31% (20,228.95 km2) in 2017 to 16.30% (31,994.55 km2) in 2031. This increase in urban area will encroach further into farmland and fishponds. However, forest cover will continue to increase from 45.02% (88,391.98 km2) in 2017 to 46.88% (92,049.62 km2) in 2031. This implies a decrease in the mean Euclidian nearest neighbor distance (ENN_MN) of forest patches (from 217.57 m to 206.46 m) and urban clusters (from 285.55 m to 245.06 m) during 2017–2031, indicating an accelerated landscape transformation if the current patterns of the change continues over the next decade. Thus, knowledge of the current and predicted LULC changes will help policy and decision makers to reconsider and develop new policies for the sustainable development and protection of natural resources.


2018 ◽  
Vol 2018 (6) ◽  
pp. 3-12
Author(s):  
Zhang DONGYANG ◽  

The status and prospects of development of trade and economic relations between Ukraine and China are considered. It is proved that bilateral cooperation in the trade and economic sphere has made significant progress. In 2012–2017, China was the second largest trading partner of Ukraine after Russia. However, the problem of imbalance in imports and exports between Ukraine and China has not yet been resolved. In addition, the scale and number of projects in which Ukraine attracts Chinese investment is much less than investments from European countries and the United States. It is justified that trade and economic cooperation between Ukraine and China is at a new historical stage. On the one hand, Ukraine signed the Association Agreement with the European Union, and on January 1, 2016, the rules of the free trade zone between Ukraine and the EU entered into force. This helps to accelerate the integration of Ukrainian economy into European one. On the other hand, the global economic downturn requires the introduction of innovations in the model of cooperation. The Chinese initiative “One belt is one way” is one of the variants of the innovation model of cooperation. Its significance is to unite the Asia-Pacific region with the EU in order to join the Eurasian Economic Union, create a new space and opportunities for development and achieve prosperity with the Eurasian countries. All this forms unprecedented opportunities for development of bilateral economic and trade relations. It seems that to fully open the potential of Ukrainian economy and expand bilateral trade and economic cooperation, it is necessary to take into account such proposals as the establishment of the Sino-Ukrainian industrial park, the promotion of cooperation in the field of electronic commerce, the formation of the Sino-Ukrainian free trade zone and enhanced interaction within multilateral mechanisms (for example, the Shanghai Cooperation Organization and the interaction of China and the countries of Central and Eastern Europe in the 16 + 1 format).


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