scholarly journals Un modèle intégré pour explorer les trajectoires d'utilisation de l'espace

2009 ◽  
Vol Volume 16, 2012 ◽  
Author(s):  
Eric Fotsing ◽  
Peter H. Verburg ◽  
Wouter T. De Groot ◽  
Jean-Paul Cheylan ◽  
Maurice Tchuenté
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Spatial Models ◽  
Small Region ◽  
Exploratory Research ◽  
Far North ◽  
Land Use Types ◽  
Gestion Intégrée ◽  
International Audience ◽  
Knowledge Support

International audience Dynamic spatial models are important tools for the study of complex systems like environmental systems. This paper presents an integrated model that has been designed to explore land use trajectories in a small region around Maroua, located in the far north of Cameroon. The model simulates competition between land use types taking into account a set of biophysical, socio-demographic and geo-economics driving factors. The model includes three modules. The dynamic simulation module combines results of the spatial analysis and prediction modules. Simulation results for each scenario can help to identify where changes occur. The model developed constitutes an efficient knowledge support system for exploratory research and land use planning. Les modèles spatiaux dynamiques sont des outils de très grande importance pour l'étude des systèmes complexes comme les systèmes environnementaux. De plus, une approche intégrée est indispensable lorsqu'on veut avoir une compréhension plus complète du comportement de ces systèmes. Cet article décrit les bases d'un modèle intégré développé pour explorer les trajectoires d'utilisation de l'espace dans la région autour de Maroua, à l'Extrême Nord du Cameroun. Le modèle simule la compétition entre différentes catégories d'utilisation de l'espace en prenant en compte l'influence d'un ensemble de facteurs biophysiques, sociodémographiques et géoéconomiques. On distingue trois principaux modules. Le module de simulation dynamique combine les résultats des modules d'analyse spatiale et de prédiction. La calibration et la validation du modèle ont été effectuées pour la période entre 1987 et 1999, et la simulation des changements entre 1999 et 2010. Trois scénarios ont été formulés en s'appuyant sur l'analyse des tendances observées et les hypothèses de transition du système d'utilisation de l'espace. Les principales dynamiques observées concernent le développement de la culture maraîchère et l'extension de la culture du sorgho de contre saison qui induisent une compétition plus importante et des conflits. Les résultats de simulation pour chaque scénario permettent d'identifier des zones prioritaires pour toute intervention allant dans le sens de l'intensification ou d'une gestion intégrée et plus durable de l'espace. Le modèle développé constitue ainsi un outil de recherche exploratoire et un support de connaissances utilisable pour la planification de l'utilisation de l'espace. Une utilisation est envisageable pour initier toute concertation ou négociation entre les acteurs concernés par la gestion de l'espace.

scholarly journals Analysis and prediction of LUCC change in Huang-Huai-Hai river basin

2020 ◽  
Vol 12 (1) ◽  
pp. 1406-1420
Author(s):  
Jianwei Wang ◽  
Kun Wang ◽  
Tianling Qin ◽  
Hanjiang Nie ◽  
Zhenyu Lv ◽  
...  
Keyword(s):  
Land Use ◽  
River Basin ◽  
Land Use Planning ◽  
Climate Model ◽  
Dynamic Change ◽  
Cultivated Land ◽  
Emission Scenarios ◽  
Future Change ◽  
Land Use Types ◽  
Downstream Area

AbstractLand use/cover change plays an important role in human development and environmental health and stability. Markov chain and a future land use simulation model were used to predict future change and simulate the spatial distribution of land use in the Huang-Huai-Hai river basin. The results show that cultivated land and grassland are the main land-use types in the basin, accounting for about 40% and 30%, respectively. The area of cultivated land decreased and artificial surfaces increased from 1980 to 2010. The degree of dynamic change of land use after the 1990s was greater than that before the 1990s. There is a high probability of exchange among cultivate land, forest and grassland. The area of forest decreased before 2000 and increased after 2000. Under the three emission scenarios (RCP2.6, RCP4.5, and RCP8.5) of IPSL-CM5A-LR climate model, the area of cultivated land will decrease and that of grassland will increase in the upstream area while it will decrease in the downstream area. The above methods and rules will be of great help to future land use planning.

scholarly journals Patterns of Historical and Future Urban Expansion in Nepal

2020 ◽  
Vol 12 (4) ◽  
pp. 628 ◽  
Author(s):  
Bhagawat Rimal ◽  
Sean Sloan ◽  
Hamidreza Keshtkar ◽  
Roshan Sharma ◽  
Sushila Rijal ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Land Use Planning ◽  
Environmental Sustainability ◽  
Urban Areas ◽  
Urban Expansion ◽  
Spatial Models ◽  
Agricultural Conversion ◽  
Historical Land Use ◽  
Landsat Satellite

Globally, urbanization is increasing at an unprecedented rate at the cost of agricultural and forested lands in peri-urban areas fringing larger cities. Such land-cover change generally entails negative implications for societal and environmental sustainability, particularly in South Asia, where high demographic growth and poor land-use planning combine. Analyzing historical land-use change and predicting the future trends concerning urban expansion may support more effective land-use planning and sustainable outcomes. For Nepal’s Tarai region—a populous area experiencing land-use change due to urbanization and other factors—we draw on Landsat satellite imagery to analyze historical land-use change focusing on urban expansion during 1989–2016 and predict urban expansion by 2026 and 2036 using artificial neural network (ANN) and Markov chain (MC) spatial models based on historical trends. Urban cover quadrupled since 1989, expanding by 256 km2 (460%), largely as small scattered settlements. This expansion was almost entirely at the expense of agricultural conversion (249 km2). After 2016, urban expansion is predicted to increase linearly by a further 199 km2 by 2026 and by another 165 km2 by 2036, almost all at the expense of agricultural cover. Such unplanned loss of prime agricultural lands in Nepal’s fertile Tarai region is of serious concern for food-insecure countries like Nepal.

Reconciliation and Indigenous resurgence in the Ontario Far North and Mushkegowuk Cree land use planning processes

2020 ◽  
pp. 239965442095765
Author(s):  
Ryan Bowie
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Planning Process ◽  
Indigenous Communities ◽  
Treaty Rights ◽  
Community Based ◽  
Far North ◽  
Northern Regions ◽  
Planning Processes ◽  
Regional Process

The introduction of Ontario’s Far North Initiative in 2008 and resulting Far North Act (2010) set in motion efforts to create land use plans in the northern regions of the Canadian province. Ontario’s approach to reconciling Aboriginal and treaty rights with provincial planning was through a community-based land use planning process, to which Mushkegowuk Council responded with a regional process based on the Omushkegowuk nation. The paper argues that the goals and approach of Mushkegowuk Council were reflective of indigenous resurgence principles, to which Ontario’s community-based planning objectives were a significant obstacle. The paper will closely examine the challenges Mushkegowuk Council faced in their attempt to assert an alternative to Ontario’s Far North planning, and the implications for Mushkegowuk Council and other indigenous communities and organizations involved in land use planning. The paper will conclude with a discussion of how the case study exemplifies the broader difficulties of achieving indigenous driven planning as resurgence necessarily confronts the institutions and ambitions of Settler governments.

scholarly journals An activity-related land use mix construct and its connection to pedestrian travel

2017 ◽  
Vol 46 (1) ◽  
pp. 9-26 ◽  
Author(s):  
Steven R Gehrke ◽  
Kelly J Clifton
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Smart Growth ◽  
Environmental Indicators ◽  
Home Based ◽  
Land Use Types ◽  
Central Tenet ◽  
Land Use Mix ◽  
Trip Frequency ◽  
Pedestrian Travel

Integrating a diverse set of land use types within a neighborhood is a central tenet of smart growth policy. Over a generation of urban planning research has heralded the transportation, land use, and public health benefits arising from a balanced supply of local land uses, including the improved feasibility for pedestrian travel. However, land use mixing has largely remained a transportation-land use planning goal without a conceptually valid set of environmental indicators quantifying this multifaceted spatial phenomenon. In this study, we incorporated activity-based transportation planning and landscape ecology theory within a confirmatory factor analysis framework to introduce a land use mix construct indicative of the paired landscape pattern aspects of composition and configuration. We found that our activity-related land use mix measure, and not the commonly adopted entropy-based index, predicted walk mode choice and home-based walk trip frequency when operationalized at three geographic scales.

scholarly journals Assessing the impact of watershed land use on Kebena river water quality in Addis Ababa, Ethiopia

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Kalkidan Asnake ◽  
Hailu Worku ◽  
Mekuria Argaw
Keyword(s):  
Water Quality ◽  
Land Use ◽  
River Water ◽  
Land Use Planning ◽  
Addis Ababa ◽  
Surface Water Quality ◽  
Wet Season ◽  
Watershed Land Use ◽  
Land Use Types ◽  
The Impact

Abstract Background The impact of watershed land-use on surface water quality is one of the under researched areas in mega cities of the developing countries like Addis Ababa. The study examined the impact of watershed land uses on the Kebena river water quality within its seasonal and spatial variation and assessed the relationship between river water pollution and dominant land-use types in the sub-watersheds. Method The main land use types in the sub-watersheds were digitized from aerial photograph of 2016, and quantified for water quality impact analysis. Water samples were collected from the main Kebena river and the three sub-watersheds source and outlet points. A total of 128 samples were collected during the dry and wet seasons of 2016 and 2017 and analyzed for various water quality parameters. The study employed ANOVA, independent t-tests and multiple regression analysis to examine variations in water quality and assess the influence of the different land uses on water quality. Results Forest, built-up area and cultivated lands are the three major land use types in the Kebena watershed accounting for 39.14, 32.51 and 27.25% of the total area, respectively. Kebena catchment is drained by three sub-watersheds namely, Denkaka (44.9% cultivated land), Little-Kebena (60.87% forested) and Ginfle (90.44% urban land). The concentration of pollutants in the Kebena river was significantly higher (P < 0.001) in the dry season than in the wet season. However, when compared to surface water quality standards, both the dry and wet season water quality records are exceptionally high. The urban and forest dominated sub-watersheds contribute significantly high amount of (P < 0.001) pollutant loads to the river which is associated with high runoff from impervious surfaces and sewerage discharge to the river from nearby urban settlements. Conclusion Integrating watershed planning with land use planning is of paramount importance to address water quality problems in urban areas. Thus, in the urban dominated sub-catchment, land-use planning should aim to relocating river front communities, providing sufficient river buffer-zones and forwarding appropriate storm water management schemes. In the forested sub-catchment, planning should protect, retain and enhance the existing natural green spaces through open space planning, and management schemes while providing wide river-buffer with natural vegetation cover to minimize pollution load to urban rivers from agriculture dominated sub-watershed.

scholarly journals KITAKIWI MASINAHIKANAN (OUR MAP)

2021 ◽  
Author(s):  
Joelle McNeil
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Policy Framework ◽  
Northern Ontario ◽  
Far North ◽  
Planning Project ◽  
Indigenous Planning ◽  
Land Use Plan ◽  
Procedural Values ◽  
Crown Lands

Members of Nibinamik First Nation, an Anishinaabe community in the Far North of Ontario, are in the process of updating their land use plan. As part of this land use planning project, Nibinamik seeks an accompanying and informing map of their traditional territory. Through a partnership between Nibinamik and Ryerson University, we explored the substantive and procedural values informing the mapping, and by extension the land use planning, project. The findings are discussed in relation to the literature on Indigenous counter-mapping and in reference to the guiding provincial policy framework. Importantly, Nibinamik seeks an alternate process to that imposed by the province, while simultaneously seeking recognition by the province. In this way, Nibinamik resists the province’s claims to exclusive power over crown lands, and asserts claims to shared power over traditional territory. Key words: counter-mapping; Indigenous Planning; northern Ontario

scholarly journals Mining Coastal Land Use Sequential Pattern and Its Land Use Associations Based on Association Rule Mining

2017 ◽  
Vol 9 (2) ◽  
pp. 116 ◽  
Author(s):  
Zhi Ding ◽  
Xiaohan Liao ◽  
Fenzhen Su ◽  
Dongjie Fu
Keyword(s):  
Land Use ◽  
Coastal Zone ◽  
Association Rules ◽  
Land Use Planning ◽  
Sequential Pattern ◽  
Association Patterns ◽  
Land Use Types ◽  
Coastal Land Use ◽  
Coastal Land ◽  
Sequential Relationship

Abstract: Research on the land use of the coastal zone in the sea–land direction will not only reveal its land use distribution, but may also indicate the interactions between inland land use and the ocean through associations between inland land use and seaward land use indirectly. However, in the existing research, few have paid attention to the land use in sea–land direction, let alone the sequential relationship between land-use types. The sequential relationship would be useful in land use planning and rehabilitation of the landscape in the sea–land direction, and the association between land-use types, particularly the inland land use and seaward land use, is not discussed. Therefore, This study presents a model named ARCLUSSM (Association Rules-based Coastal Land use Spatial Sequence Model) to mine the sequential pattern of land use with interesting associations in the sea–land direction of the coastal zone. As a case study, the typical coastal zone of Bohai Bay and the Yellow River delta in China was used. The results are as follows: firstly, 27 interesting association patterns of land use in the sea–land direction of the coastal zone were mined easily. Both sequential relationship and distance between land-use types for 27 patterns among six land-use types were mined definitely, and the sequence of the six land-use types tended to be tidal flat > shrimp pond > reservoir/artificial pond > settlement > river > dry land in sea–land direction. These patterns would offer specific support for land-use planning and rehabilitation of the coastal zone. There were 19 association patterns between seaward and landward land-use types. These patterns showed strong associations between seaward and landward land-use types. It indicated that the landward land use might have some impacts on the seaward land use, or in the other direction, which may help to reveal the interactions between inland land use and the ocean. Thus, the ARCLUSSM was an efficient tool to mine the sequential relationship and distance between land-use types with interesting association rules in the sea–land direction, which would offer practicable advice to appropriate coastal zone management and planning, and might reveal the interactions between inland land use and the ocean.

scholarly journals KITAKIWI MASINAHIKANAN (OUR MAP)

2021 ◽  
Author(s):  
Joelle McNeil
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Policy Framework ◽  
Northern Ontario ◽  
Far North ◽  
Planning Project ◽  
Indigenous Planning ◽  
Land Use Plan ◽  
Procedural Values ◽  
Crown Lands

Members of Nibinamik First Nation, an Anishinaabe community in the Far North of Ontario, are in the process of updating their land use plan. As part of this land use planning project, Nibinamik seeks an accompanying and informing map of their traditional territory. Through a partnership between Nibinamik and Ryerson University, we explored the substantive and procedural values informing the mapping, and by extension the land use planning, project. The findings are discussed in relation to the literature on Indigenous counter-mapping and in reference to the guiding provincial policy framework. Importantly, Nibinamik seeks an alternate process to that imposed by the province, while simultaneously seeking recognition by the province. In this way, Nibinamik resists the province’s claims to exclusive power over crown lands, and asserts claims to shared power over traditional territory. Key words: counter-mapping; Indigenous Planning; northern Ontario

scholarly journals Land Use Impacts on Particulate Matter Levels in Seoul, South Korea: Comparing High and Low Seasons

Land ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 142
Author(s):  
Hyungkyoo Kim
Keyword(s):  
Land Use ◽  
Particulate Matter ◽  
South Korea ◽  
Land Use Planning ◽  
World Health ◽  
Land Use Impacts ◽  
Industrial Land Use ◽  
Land Use Types ◽  
Health Organization ◽  
Effects Of Land Use

Seoul, a city in South Korea, experiences high particulate matter (PM) levels well above the recommended standards suggested by the World Health Organization. As concerns about public health and everyday lives are being raised, this study investigates the effects of land use on PM levels in Seoul. Specifically, it attempts to identify which land use types increase or decrease PM10 and PM2.5 levels and compare the effects between high and low seasons using two sets of land use classifications: one coarser and the other finer. A series of partial least regression models identifies that industrial land use increases the PM levels in all cases. It is also reported that residential and commercial land uses associated with lower density increase these levels. Other uses, such as green spaces and road, show mixed or unclear effects. The findings of this study may inform planners and policymakers about how they can refine future land use planning and development practice in cities that face similar challenges.

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