scholarly journals Land Use Land Cover (LULC) Change Projection in Kathmandu Valley using the CLUE-S Model

2021 ◽  
Vol 6 ◽  
pp. 221-233
Author(s):  
Suraj Lamichhane ◽  
Narendra Man Shakya
Keyword(s):  
Driving Forces ◽  
Kathmandu Valley ◽  
Land Use Land Cover ◽  
Rapid Urbanization ◽  
Lulc Change ◽  
Future Scenario ◽  
The Future ◽  
Gis Environment ◽  
S Model ◽  
Urbanization Pattern

In the past few decades the urbanization pattern of the Kathmandu valley has rapidly increased and the process was sensed through the increase in the urban facilities, population growth, and changed LULC pattern. The historical LULC change was analyzed using the generated map and the future scenario was found through the CLUE-S LULC change model and processed in GIS environment. Five scenarios and nine driving forces were considered for the sensitivity and future analysis of the model. Based on the evaluation of the historical maps and the conservation matrix, the built-up area is found to be increased nearby by 5% and the agricultural area decreased by 6.5% during 2010 to 2018. It is concluded that the normal LULC conservation scenario provides more reliable information for the future projection. The simulation result highlights that nearly 4 km2 of fertile and open area will be converted to built-up areas due to the rapid urbanization per decade. This increase in urbanization process leads to more challenges in urban environment management in future.

scholarly journals A Model-Based Analysis of Spatio-Temporal Changes of the Urban Expansion in Arid Area of Western China: A Case Study in North Xinjiang Economic Zone

Atmosphere ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 989
Author(s):  
Jing Qian ◽  
Qiming Zhou ◽  
Xi Chen ◽  
Bo Sun
Keyword(s):  
Land Use ◽  
Driving Forces ◽  
Urban Expansion ◽  
Eastern China ◽  
Western China ◽  
Urbanization Process ◽  
Rapid Urbanization ◽  
North Xinjiang ◽  
Economic Zone ◽  
S Model

Investigation of urban expansion can provide a better understanding of the urbanization process and its driving forces, which is critical for environmental management and land use planning. Total of 514 sampling points from the aerial photos and field sampling were applied to assess the image accuracy. A Conversion of Land Use and its Effect at Small Region Extent (CLUE-S) model was established to simulate the urbanization process at the township level in the North Xinjiang Economic Zone (NXEZ) of western China. Historical land use and land cover changes with multi-temporal remote sensing data were retrieved, and the underlying driving forces were explored by training the CLUE-S model. Moreover, future changes in urban development were simulated under different scenarios. Results showed that the overall accuracy reaches larger than 80% for the years of 2002, 2005, and 2007, and the corresponding kappa coefficient is bigger than 0.8. The NXEZ is at a premature development stage compared with urban clusters in eastern China. Before 1999, the driving force in this region was primary industry development. In recent years, secondary industries started to show significance in urbanization. These findings indicate that the industrial base and economic development in the NXEZ are still relatively weak and have not taken a strong leading role. When industry and population become the main driving factors, the regional economy will enter a new stage of leap-forward development, which in turn will stimulate a new round of rapid urbanization.

scholarly journals Assessment of Land Use/Land Cover Change and Morphometric Parameters in the Keta Lagoon Complex Ramsar Site, Ghana

Water ◽  
2021 ◽  
Vol 13 (18) ◽  
pp. 2537
Author(s):  
Eric Duku ◽  
Precious Agbeko Dzorgbe Mattah ◽  
Donatus Bapentire Angnuureng
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Morphometric Parameters ◽  
Ramsar Site ◽  
Land Use Land Cover ◽  
Cultivated Land ◽  
Rapid Urbanization ◽  
Lulc Change ◽  
Dense Vegetation ◽  
Intensive Exploitation

The rapid urbanization, industrialization, agricultural activities, and increasing trend of some natural hazards, such as climate change, particularly in coastal areas, necessitate the continual assessment of critical but fragile ecosystems like that of the Keta Lagoon Complex Ramsar Site (KLCRS). This productive ecosystem in Ghana faces serious threats from intensive exploitation, physical modification, changes in water regime, and water pollution. The current study employed geospatial and intensity analysis to assess the pattern of land use/land cover (LULC) change for almost the past three decades and morphometric parameters of the KLCRS landscape. Landsat Satellite images for 1991, 2007, and 2020 were acquired to uncover the pattern of LULC change, while morphometric changes were assessed using global Advance Space Thermal Emission and Radiometer (ASTER) digital elevation model (DEM) data and the spatial analyst tools in GIS software. The result established that the acceleration of land transformation was intensive between 2007 and 2020, which could be linked to population growth and increased socio-economic activities. There was a net gross gain of built-up that originated largely from the conversion of marsh, dense vegetation, and cultivated land. Prior to this period, cultivated land recorded net gain (125.51 km2) between 1991 and 2007, whereas dense vegetation and marshland showed a net loss of 151.37 km2 and 2.44 km2, respectively. The gain of cultivated land largely targeted marshland in both time intervals. The construction of saltpans contributed largely to the small increase in water extent. The morphometric analysis revealed the groundwater potential of the KLCRS. The low-lying nature of the landscape makes the area susceptible to coastal flooding. The trend of the observed changes could invariably affect the ecological integrity of the landscape, hence suggesting the need for immediate preparation and implementation of marine and coastal spatial plans by relevant stakeholders.

scholarly journals Monitoring and Forecasting of Urban Expansion Using Machine Learning-Based Techniques and Remotely Sensed Data: A Case Study of Gharbia Governorate, Egypt

2021 ◽  
Vol 13 (22) ◽  
pp. 4498
Author(s):  
Eman Mostafa ◽  
Xuxiang Li ◽  
Mohammed Sadek ◽  
Jacqueline Fifame Dossou
Keyword(s):  
Machine Learning ◽  
Urban Sprawl ◽  
Agricultural Land ◽  
Urban Expansion ◽  
Local Market ◽  
Agricultural Lands ◽  
Rapid Urbanization ◽  
Lulc Change ◽  
Lulc Changes ◽  
The Future

Rapid population growth is the main driver of the accelerating urban sprawl into agricultural lands in Egypt. This is particularly obvious in governorates where there is no desert backyard (e.g., Gharbia) for urban expansion. This work presents an overview of machine learning-based and state-of-the-art remote sensing products and methodologies to address the issue of random urban expansion, which negatively impacts environmental sustainability. The study aims (1) to investigate the land-use/land-cover (LULC) changes over the past 27 years, and to simulate the future LULC dynamics over Gharbia; and (2) to produce an Urbanization Risk Map in order for the decision-makers to be informed of the districts with priority for sustainable planning. Time-series Landsat images were utilized to analyze the historical LULC change between 1991 and 2018, and to predict the LULC change by 2033 and 2048 based on a logistic regression–Markov chain model. The results show that there is a rapid urbanization trend corresponding to a diminution of the agricultural land. The agricultural sector represented 91.2% of the total land area in 1991, which was reduced to 83.7% in 2018. The built-up area exhibited a similar (but reversed) pattern. The results further reveal that the observed LULC dynamics will continue in a like manner in the future, confirming a remarkable urban sprawl over the agricultural land from 2018 to 2048. The cultivated land changes have a strong negative correlation with the built-up cover changes (the R2 were 0.73 in 1991–2003, and 0.99 in 2003–2018, respectively). Based on the Fuzzy TOPSIS technique, Mahalla Kubra and Tanta are the districts which were most susceptible to the undesirable environmental and socioeconomic impacts of the persistent urbanization. Such an unplanned loss of the fertile agricultural lands of the Nile Delta could negatively influence the production of premium agricultural crops for the local market and export. This study is substantial for the understanding of future trends of LULC changes, and for the proposal of alternative policies to reduce urban sprawl on fertile agricultural lands.

Transmedia Storytelling Initiatives in Brazilian Media

MedienJournal ◽  
2017 ◽  
Vol 36 (4) ◽  
pp. 51
Author(s):  
Renira Rampazzo Gambarato ◽  
Geane Carvalho Alzamora
Keyword(s):  
South Africa ◽  
Media Development ◽  
Future Scenario ◽  
Transmedia Storytelling ◽  
The Future

This paper is presented in order to understand the evolution of media dynamics in Brazil and investigate its perspectives for the future. Brazil, among the BRICS states (Brazil, Russia, India, China and South Africa), will be our focus. From a mono-mediatic paradigm to a convergent one, Brazil is developing new practices in fictional and non-fictional media. Our hypothesis is that the transmedia storytelling strategy is both the reality – although still timid – and the most probable future scenario for media development in Brazil. We can assert that transmedia storytelling is a tendency. Therefore, we will explore examples of transmedia storytelling initiatives in Brazilian media mainly related to journalism, entertainment, branding and advertisement.

Urbanization and Changes in Cropping Patterns at Kathmandu Valley

2007 ◽  
Vol 7 ◽  
pp. 113 ◽  
Author(s):  
Raj Man Shrestha
Keyword(s):  
Urban Areas ◽  
Cropping System ◽  
Considerable Change ◽  
Rapid Expansion ◽  
Leafy Vegetables ◽  
Kathmandu Valley ◽  
Rapid Urbanization ◽  
Average Growth ◽  
Cropping Patterns ◽  
Agriculture Land

The increase of population in Kathmandu valley is bringing a considerable change in cropping system. Rapid urbanization and introduction of new agriculture technology have encouraged the valley’s farmers to change their cropping patterns from traditional (low value crops) to new crops (high value crops). According to numerous studies made in Nepal, the change is seen considerably in winter crops than in summer crops and the land under cultivation of green leafy vegetables is increasing rapidly in the urban and semi-urban areas. An average growth of population at 3 % in the valley during the period 1951-2001 has resulted in the rapid expansion of area under urban coverage (24.6 % growth per year from 1984 - 2000) has made agriculture land of Katmandu valley to decline per year by 2.04 % (836.27 ha per year). If this trend of decline in agriculture land in Kathmandu valley continues in future too, it is expected that there will be no agriculture land left over by two and half decades in the valley. The planners should take note of this fact that if fertile land of Katmandu valley is to be preserved for agriculture necessary planning is urgently needed. <i>Nepal Journal of Science and Technology</i> Vol. 7, 2006

Analysis of Land Use/Land Cover Change in Yangzhou City Based on CLUE-S Model

2011 ◽  
Vol 13 (5) ◽  
pp. 695-700
Author(s):  
Zhihua TANG ◽  
Xianlong ZHU ◽  
Cheng LI
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Land Use Land Cover ◽  
S Model

scholarly journals Analysis of surface deformation and driving forces in Lanzhou

2020 ◽  
Vol 12 (1) ◽  
pp. 1127-1145
Author(s):  
Wenhui Wang ◽  
Yi He ◽  
Lifeng Zhang ◽  
Youdong Chen ◽  
Lisha Qiu ◽  
...  
Keyword(s):  
International Development ◽  
Surface Deformation ◽  
Driving Forces ◽  
Influence Factors ◽  
Chinese Government ◽  
Single Factor ◽  
Rapid Urbanization ◽  
Temporal Characteristics ◽  
Maximum Deformation ◽  
Rate Of Increase

AbstractSurface deformation has become an important factor affecting urban development. Lanzhou is an important location in the Belt and Road Initiative, an international development policy implemented by the Chinese government. Because of rapid urbanization in Lanzhou, surface deformation occurs easily. However, the spatial-temporal characteristics of surface deformation and the interaction of driving forces behind surface deformation in Lanzhou are unclear. This paper uses small baseline subset InSAR (SBAS-InSAR) technology to obtain the spatial-temporal characteristics of surface deformation in Lanzhou based on 32 Sentinel-1A data from March 2015 to January 2017. We further employ a geographical detector (geo-detector) to analyze the driving forces (single-factor effects and multifactor interactions) of surface deformation. The results show that the central urban area of Lanzhou was stable, while there was surface deformation around Nanhuan road, Dongfanghong Square, Jiuzhou, Country Garden, Dachaiping, Yujiaping, Lanzhou North Freight Yard, and Liuquan Town. The maximum deformation rate was −26.50 mm year−1, and the maximum rate of increase was 9.80 mm year−1. The influence factors of surface deformation in Lanzhou was a complex superposition relationship among various influencing factors, not a result of the single factor. The interaction between the built-up area and land cover types was the most important factor behind surface deformation in Lanzhou. This paper provides the reference data and scientific foundation for disaster prevention in Lanzhou.

scholarly journals Spatiotemporal Influence of Land Use/Land Cover Change Dynamics on Surface Urban Heat Island: A Case Study of Abuja Metropolis, Nigeria

2021 ◽  
Vol 10 (5) ◽  
pp. 272
Author(s):  
Auwalu Faisal Koko ◽  
Wu Yue ◽  
Ghali Abdullahi Abubakar ◽  
Akram Ahmed Noman Alabsi ◽  
Roknisadeh Hamed
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Surface ◽  
Urban Expansion ◽  
Urban Heat Islands ◽  
Sustainable Land Use ◽  
Land Use Land Cover ◽  
Urban Centers ◽  
Rapid Urbanization ◽  
Urban Heat

Rapid urbanization in cities and urban centers has recently contributed to notable land use/land cover (LULC) changes, affecting both the climate and environment. Therefore, this study seeks to analyze changes in LULC and its spatiotemporal influence on the surface urban heat islands (UHI) in Abuja metropolis, Nigeria. To achieve this, we employed Multi-temporal Landsat data to monitor the study area’s LULC pattern and land surface temperature (LST) over the last 29 years. The study then analyzed the relationship between LULC, LST, and other vital spectral indices comprising NDVI and NDBI using correlation analysis. The results revealed a significant urban expansion with the transformation of 358.3 sq. km of natural surface into built-up areas. It further showed a considerable increase in the mean LST of Abuja metropolis from 30.65 °C in 1990 to 32.69 °C in 2019, with a notable increase of 2.53 °C between 2009 and 2019. The results also indicated an inverse relationship between LST and NDVI and a positive connection between LST and NDBI. This implies that urban expansion and vegetation decrease influences the development of surface UHI through increased LST. Therefore, the study’s findings will significantly help urban-planners and decision-makers implement sustainable land-use strategies and management for the city.

scholarly journals Impact of Climate and Land Use/Land Cover Change on the Water Resources of a Tropical Inland Valley Catchment in Uganda, East Africa

Climate ◽  
2020 ◽  
Vol 8 (7) ◽  
pp. 83
Author(s):  
Geofrey Gabiri ◽  
Bernd Diekkrüger ◽  
Kristian Näschen ◽  
Constanze Leemhuis ◽  
Roderick van der Linden ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Water Resources ◽  
Land Cover ◽  
Rainy Season ◽  
Hydrological Processes ◽  
Land Use Land Cover ◽  
Lulc Change ◽  
Inland Valley ◽  
Headwater Catchment

The impact of climate and land use/land cover (LULC) change continues to threaten water resources availability for the agriculturally used inland valley wetlands and their catchments in East Africa. This study assessed climate and LULC change impacts on the hydrological processes of a tropical headwater inland valley catchment in Uganda. The hydrological model Soil and Water Assessment Tool (SWAT) was applied to analyze climate and LULC change impacts on the hydrological processes. An ensemble of six regional climate models (RCMs) from the Coordinated Regional Downscaling Experiment for two Representative Concentration Pathways (RCPs), RCP4.5 and RCP8.5, were used for climate change assessment for historical (1976–2005) and future climate (2021–2050). Four LULC scenarios defined as exploitation, total conservation, slope conservation, and protection of headwater catchment were considered. The results indicate an increase in precipitation by 7.4% and 21.8% of the annual averages in the future under RCP4.5 and RCP8.5, respectively. Future wet conditions are more pronounced in the short rainy season than in the long rainy season. Flooding intensity is likely to increase during the rainy season with low flows more pronounced in the dry season. Increases in future annual averages of water yield (29.0% and 42.7% under RCP4.5 and RCP8.5, respectively) and surface runoff (37.6% and 51.8% under RCP4.5 and RCP8.5, respectively) relative to the historical simulations are projected. LULC and climate change individually will cause changes in the inland valley hydrological processes, but more pronounced changes are expected if the drivers are combined, although LULC changes will have a dominant influence. Adoption of total conservation, slope conservation and protection of headwater catchment LULC scenarios will significantly reduce climate change impacts on water resources in the inland valley. Thus, if sustainable climate-smart management practices are adopted, the availability of water resources for human consumption and agricultural production will increase.

scholarly journals IMPACT OF THE PHYSICAL ENVIRONMENT ON USER BEHAVIORS IN URBAN DISTRICT PARK

2020 ◽  
pp. 336-352
Author(s):  
Do Duy Thinh ◽  
Nguyen Van Xuan ◽  
Nguyen Ngoc Long Giang
Keyword(s):  
Public Space ◽  
Local Governments ◽  
Open Space ◽  
Mapping Method ◽  
Urban District ◽  
Open Spaces ◽  
Rapid Urbanization ◽  
User Behaviors ◽  
The Future

Urban open spaces (e.g. urban parks) play a pivotal role in improving the quality of life of city dwellers through accommodating various physical and social activities, while further creating social coherence for sustainable development. Due to the shortage of open green spaces in the city, caused by rapid urbanization in developing countries, some big, long-standing urban public spaces such as district parks have been retained, and improved to serve as the main public space for local people. However, such spaces commonly provide outdated, low quality facilities that discourage people from using the park. To satisfy users’ needs, local governments have launched campaigns to improve parks based on the ideas of domestic or foreign designers. The purpose of this research is to explore different behaviors of residents in an open space in Da Nang (Vietnam) which can support the future development and improvement of local open space in accordance with environmental behavior theory. User behaviors were identified and categorized based on their activities in the open space, collected using the place-centered behavior mapping method. Results of the statistical analysis revealed that this open space could be divided into three types, each of which had four dimensions: public facilities setting; openness; accessibility; and recreational facilities. The findings showed some aspects that need to be considered during the development process of open space as follows: 1) increasing the quantity and quality of public amenities; 2) separating accessible space and/or buffer space from already used space inside the park, particularly in the entrance zone; 3) providing space adjacent to the lake; and 4) removing obstacles (e.g. walls around the park) to give a clearer view from inside the park to the streets outside and vice versa. Also, the calculation model of evidence-based designs provides input data for re-planning or creating public space/parks to help designers, planners and authorities improve or design better open spaces in the future.

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