Recent Land Use Changes on an Urban Watershed in Moncton, New Brunswick, Canada

Changes in land use, which threaten ecosystems and habitats, have an impact on run-off and water quality on urban areas. Using a GIS program we have classified the land use of the Humphreys Brook watershed and quantified the changes that have occurred using landscape metrics. A rapid growth of the city emerges from our results. All land use types of urban nature have seen an increase in surface areas to the detriment of natural land uses. Moreover the landscape indices are showing signs of rectangularity, where humans have introduced straight edges, and other common processes of transformation to the landscape.

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

Atmosphere ◽

10.3390/atmos11010042 ◽

2019 ◽

Vol 11 (1) ◽

pp. 42 ◽

Cited By ~ 1

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.

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Effects of Climate and Land Use changes on Vegetation Dynamics in the Yangtze River Delta, China Based on Abrupt Change Analysis

Sustainability ◽

10.3390/su12051955 ◽

2020 ◽

Vol 12 (5) ◽

pp. 1955

Author(s):

Lei Wan ◽

Huiyu Liu ◽

Haibo Gong ◽

Yujia Ren

Keyword(s):

Land Use ◽

Vegetation Dynamics ◽

Abrupt Change ◽

Land Use Changes ◽

Yangtze River Delta ◽

Change Analysis ◽

Land Use Types ◽

Natural Land ◽

Abrupt Change Analysis ◽

Relationship Of

Vegetation dynamics is thought to be affected by climate and land use changes. However, how the effects vary after abrupt vegetation changes remains unclear. Based on the Mann-Kendall trend and abrupt change analysis, we monitored vegetation dynamics and its abrupt change in the Yangtze River delta during 1982–2016. With the correlation analysis, we revealed the relationship of vegetation dynamics with climate changes (temperature and precipitation) pixel-by-pixel and then with land use changes analysis we studied the effects of land use changes (unchanged or changed land use) on their relationship. Results showed that: (1) the Normalized Vegetation Index (NDVI) during growing season that is represented as GSN (growing season NDVI) showed an overall increasing trend and had an abrupt change in 2000. After then, the area percentages with decreasing GSN trend increased in cropland and built-up land, mainly located in the eastern, while those with increasing GSN trend increased in woodland and grassland, mainly located in the southern. Changed land use, except the land conversions from/to built-up land, is more favor for vegetation greening than unchanged land use (2) after abrupt change, the significant positive correlation between precipitation and GSN increased in all unchanged land use types, especially for woodland and grassland (natural land use) and changed land use except built-up land conversion. Meanwhile, the insignificant positive correlation between temperature and GSN increased in woodland, while decreased in the cropland and built-up land in the northwest (3) after abrupt change, precipitation became more important and favor, especially for natural land use. However, temperature became less important and favor for all land use types, especially for built-up land. This research indicates that abrupt change analysis will help to effectively monitor vegetation trend and to accurately assess the relationship of vegetation dynamics with climate and land use changes.

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Land Use Changes in Ciudad Juárez, Chihuahua: A Systems Dynamic Model

ESTUDIOS FRONTERIZOS ◽

10.21670/ref.2007.16.a03 ◽

2007 ◽

Vol 8 (16) ◽

pp. 65-89 ◽

Cited By ~ 3

Author(s):

Sergio Peña ◽

César M. Fuentes

Keyword(s):

Complex System ◽

Land Use ◽

Land Use Change ◽

Urban Growth ◽

Land Use Changes ◽

Land Development ◽

Simulation Models ◽

Ciudad Juarez ◽

Land Uses ◽

The City

The objective of this article is to offer a model to simulate land use changes in Ciudad Juárez, Chihuahua, Mexico. The city faces serious challenges posed by accelerated demographic and urban growth. In its struggle to respond to urban land development pressures, governments, planning agencies and social civil organizations are overwhelmed by a multitude of concerns. The analysis of land use change revolves around two central and interrelated questions: What drives/ causes land use change? What are the environmental and socio-demographic impacts of land change? The land use changes are approached as a complex system in which the elements that define the system and how these relate to each are identified. The development of dynamic simulation models that allow for the generation of different scenarios can be an important tool for urban planning. The software used to simulate the land uses changes is Stella®. The results of the model simulated the demand for land among different land uses (commercial, industrial and residential) in the next 10 or 20 years.

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An Assessment of Noise Levels in Sylhet City Corporation, Bangladesh

Asian Journal of Environment & Ecology ◽

10.9734/ajee/2019/v9i230089 ◽

2019 ◽

pp. 1-11

Author(s):

Md. Sultan Mahmud ◽

Rony Basak

Keyword(s):

Land Use ◽

Noise Level ◽

Urban Areas ◽

Noise Pollution ◽

World Health ◽

Noise Levels ◽

Pollution Levels ◽

Land Use Types ◽

Health Organization ◽

The City

Noise pollution is a silent villain as it’s quite easy for being ignored by us. Urban areas are more exposed to this deadly agenda as the density of population and their belongings are excessive in there. This study differentiated noise levels of Sylhet City Corporation, a growing city of Bangladesh into different types according to the land use purpose of the city like residential, silent etc. One hundred and sixty-eight noise level readings, taken at 14 different positions during the morning, afternoon, evening, and night of selective weekdays which are categorized as busy days, typical days and weekends were utilized for this research. Results put the average noise level readings in the city centers at between 45 dB(A) and 95 dB (A), dissented from the permissible limits of the World Health Organization (WHO) as well as national standardization organization: Department of Environment (DOE) in all the land use types, with the highest noise pollution levels recorded for transportation, commercial and silent typed areas. The result of the one-way ANOVA test completed where the dependent variable was noise and the independent variable was land use types uncovers a factually huge mean noise levels over the study area (F (4,115) = 9.52, p = 1.1079). Tukey’s HSD method also carried away which showed the uneven difference of noise levels between the land types. The study represents noise pollution auditing, and the immediate needs to control urban noise pollution with convenient and effective policies some of which is recommended at the end of the study.

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Analysis of Akure Urban Land Use Change Detection from Remote Imagery Perspective

Urban Studies Research ◽

10.1155/2016/4673019 ◽

2016 ◽

Vol 2016 ◽

pp. 1-9 ◽

Cited By ~ 8

Author(s):

Julius Oluranti Owoeye ◽

Oyewole Amos Ibitoye

Keyword(s):

Land Use ◽

Land Use Change ◽

Change Detection ◽

Land Use Changes ◽

Urban Land ◽

Urban Land Use ◽

Land Uses ◽

Imagery Perspective ◽

Urban Land Use Change ◽

The City

This study presents the analysis of Akure urban land use change detection from remote imagery perspective. Efforts were made to examine the direction that the continuous expansion of the city tends towards since its inception as a state capital in 1976. Using Aerial Imagery Overlay (AIO), the pattern of land use changes in Akure and its environs were determined. This involves imageries interpolation and overlaying to determine the land use changes, direction, and extent of the expansion. Findings revealed unguided expansion in the growth of the city which affects the pattern of land uses within the city and, by extension, into the adjoining settlements. There were incompatible conversions in land uses and undue encroachment into green areas in the adjoining communities. The study suggests effective zoning strategy on unguided nature of urban development whose effects on land use are very prominent in the study area. Adequate monitoring by the Development Control Department and other stakeholders in urban planning is equally suggested to mitigate the incompatible land use changes in the area.

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Tree Species Diversity and Socio-economic Perspectives of the Urban (Food) Forest of Accra, Ghana

10.20944/preprints201807.0042.v1 ◽

2018 ◽

Cited By ~ 1

Author(s):

Bertrand Nero ◽

Nana Afranaa Kwapong ◽

Raymond Jatta ◽

Oluwole Fatunbi

Keyword(s):

Land Use ◽

Tree Species ◽

Urban Areas ◽

Food System ◽

Urban Forest ◽

Urban Forestry ◽

Tree Cover ◽

African Cities ◽

Land Use Types ◽

The City

In Africa, 80% of households in urban areas are food insecure and is coupled with a dramatically changing urban food culture towards increased consumption of sugary and fatty foods. Consequently, incidences of obesity and undernourishment in many African cities are becoming escalating. Urban and peri-urban forestry emerges as a complementary measure to contribute towards elimination of urban hunger and improved nutritional security. However, there is scanty knowledge about the composition, diversity and socioeconomic contributions of urban food trees in African cities and this hinders policy discussions integrating urban forestry into the food security discourse. This paper examines the diversity and composition of the urban forest and food trees of Accra and sheds light on perceptions of urbanites regarding food tree cultivation and availability in the city. Using a mixed methods approach, about 105 respondents in six neighbourhoods of Accra were interviewed while over 200 100-m2 plots were surveyed across five land use types. Twenty-two out of the 70 woody species in Accra are edible. The food tree abundance in the city is about half of the total number of trees enumerated. The species richness and abundance of the edible trees and all trees in the city were significantly different among land use types (p<0.0001) and neighbourhood types (p<0.0001). The diversity of food bearing tree species was much higher in the poorer neighbourhoods than in the wealthier neighbourhoods. Respondents in wealthier neighbourhoods indicated that tree and fruit tree cover of the city was generally low and showed greater interests in cultivating fruit trees and expanding urban forest cover than poorer neighbourhoods. These findings demonstrate the need for urban food policy reforms that integrate urban grown tree foods in the urban food system/culture.

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SPATIAL SIMULATION BASED ON GEOGRAPHIC INFORMATION SYSTEM (GIS) AND CELLULAR AUTOMATA (CA) FOR LAND USE CHANGE MODELING IN SINGARAJA CITY AND ITS SURROUNDING AREA

10.31227/osf.io/jdpuf ◽

2019 ◽

Author(s):

Nyoman Arto Suprapto

Keyword(s):

Land Use ◽

Cellular Automata ◽

Land Use Change ◽

Urban Areas ◽

Agricultural Land ◽

Land Use Changes ◽

Geographic Information ◽

Spatial Simulation ◽

Land Use Change Modeling ◽

The City

Singaraja is the second largest city after Denpasar in Bali. The magnitude of the potential of the region both trade and services, agriculture and tourism in Buleleng Regency has given a very broad impact not only on the economy but also the use of land. Economic development in the city of Singaraja cause some effects such as population growth, an increasing number of facilities (social, economic, health, and others), as well as changes in land use.Changes in land use have a serious impact on the environment in the city of Singaraja. The development of urban areas of Singaraja has given the excesses of increasing the land conversion. Suburb dominated by wetland agriculture has now turned into buildings to meet the needs of shelter, trade and services as well as urban utilities. This study was conducted by mean to determine how changes in land use from agricultural land into build up land during twelve years (period of 2002 - 2014) and the prediction of land use within the next 12 years (period of 2020 and 2026). Prediction of land use changes will be done using spatial simulation method which is integrating Cellular Automata (CA) and Geographic Information Systems (GIS) which analyzed based on land requirement, the driving variable of land use changes (population and road) and the inhabiting variable of land use change (slope steepness and rivers).Keywords : Land Use Change, Land Use Change Modeling, Celullar Automata, GIS

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Simulation and Analysis of Land Use Changes Applying Cellular Automata in the South of Quito and the Machachi Valley, Province of Pichincha, Ecuador

Sustainability ◽

10.3390/su13179525 ◽

2021 ◽

Vol 13 (17) ◽

pp. 9525

Author(s):

René Ulloa-Espíndola ◽

Susana Martín-Fernández

Keyword(s):

Land Use ◽

Cellular Automata ◽

Urban Areas ◽

Land Use Changes ◽

Urban Land Use ◽

The South ◽

Land Use Patterns ◽

Use Patterns ◽

Urban Settlements ◽

The City

Rapid urban growth has historically led to changes in land use patterns and the degradation of natural resources and the urban environment. Uncontrolled growth of urban areas in the city of Quito has continued to the present day since 1960s, aggravated by illegal or irregular new settlements. The main objective of this paper is to generate spatial predictions of these types of urban settlements and land use changes in 2023, 2028 and 2038, applying the Dinamica EGO cellular automata and multivariable software. The study area was the Machachi Valley between the south of the city of Quito and the rural localities of Alóag and Machachi. The results demonstrate the accuracy of the model and its applicability, thanks to the use of 15 social, physical and climate predictors and the validation process. The analysis of the land use changes throughout the study area shows that urban land use will undergo the greatest net increase. Growth in the south of Quito is predicted to increase by as much as 35% between 2018 and 2038 where new highly vulnerable urban settlements can appear. Native forests in the Andes and forest plantations are expected to decline in the study area due to their substitution by shrub vegetation or agriculture and livestock land use. The implementation of policies to control the land market and protect natural areas could help to mitigate the continuous deterioration of urban and forest areas.

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Does the Exhaustion of Resources Drive Land Use Changes? Evidence from the Influence of Coal Resources-Exhaustion on Coal Resources–Based Industry Land Use Changes

Sustainability ◽

10.3390/su10082698 ◽

2018 ◽

Vol 10 (8) ◽

pp. 2698 ◽

Cited By ~ 4

Author(s):

Bo Wen ◽

Yunhua Pan ◽

Yanyuan Zhang ◽

Jingjie Liu ◽

Min Xia

Keyword(s):

Land Use ◽

Land Use Changes ◽

Driving Factors ◽

Fixed Asset ◽

Industrial Land ◽

Coal Resources ◽

Logistic Regression Models ◽

Industrial Land Use ◽

Land Use Types ◽

The City

Analyzing the spatial-temporal changes of resources–based industrial land is essential to the transformation and development of resources–exhausted cities. In this paper, we studied coal resources–based industrial land use changes and their driving factors in a typical coal resources–exhausted city, Anyuan District, Pingxiang city. The changes between coal resources–based industrial land and other land-use types were analyzed. The logistic regression models were applied to identify the main driving factors and quantify their contributions to coal resources–based industrial land-use changes during the two periods of 2003–2008 and 2008–2013. The results show that coal resources–based industrial land declined by 34.37% during the period 2008–2013 as coal resources were being exhausted. Altitude, distance to roads, distance to town, population density change, fixed-asset investment per area change, and GDP per capita change drove coal resources–based industrial land-use changes. However, the patterns of the driving effects differed, and even the same factors had different influences on coal resources–based industrial land-use changes during the two periods. The changes in the driving factors can be seen as responses to socioeconomic transformation and development in the city, which is experiencing the exhaustion of coal resources. As a result of the comprehensive effects of these driving factors, coal resources–based industrial land use has changed in complex ways.

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Analisis Perubahan Penggunaan Lahan Dan Prediksinya dengan Menggunakan Markov – Cellular Automata Di Wilayah Peri Urban Kota Malang

Jurnal Tataloka ◽

10.14710/tataloka.23.3.307-319 ◽

2021 ◽

Vol 23 (3) ◽

pp. 307-319

Author(s):

Mirza Permana ◽

Santun Risma Pandopatan Sitorus ◽

Darmawan Darmawan

Keyword(s):

Land Use ◽

Cellular Automata ◽

Significant Influence ◽

Urban Areas ◽

Agricultural Land ◽

Land Use Changes ◽

Spatial Dynamics ◽

Urban Life ◽

Unique Region ◽

The City

Peri Urban Area is a unique region with spatial dynamics that continues to experience changes that have an important role to play in the urban life in the future. There are 8 sub-districts in Malang Regency which are directly adjacent to Malang City and have a significant influence on the development of the city. Objectives of this research are to determine the dynamics of land use change from 2008 - 2018 and to predict land use in 2030. The method used is the analysis of land use changes from landsat TM 8 images in 2008 and 2013 to predict land use in 2018 which then tested the validity to get a level of accuracy. The results showed the development of built-up area has increased by 12% while agricultural land has experienced a declining trend. Significant changes occurred in Singosari, Pakisaji and Karangploso sub-district. Validation of land use between the predictions of 2018 and actual land use in 2018 showed that the value of kappa was quite high, at 87%. The trend of land use in peri-urban areas until the year 2030 is predicted to have built up area of 26,456 ha, which means an increase 17,686 ha (33.6%) from the existing year 2018. The potential incompatibility of the RTRW with the predicted land use in 2030 is 11,950 ha or 22.7%.

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