scholarly journals Scenario Simulation and Landscape Pattern Dynamic Changes of Land Use in Mining Area

2021 ◽  
Author(s):  
Xiaoyan Chang ◽  
Feng Zhang ◽  
Kanglin Cong ◽  
Xiaojun Liu
Keyword(s):  
Land Use ◽  
Mining Area ◽  
Tidal Wetland ◽  
Kappa Index ◽  
Land Use Pattern ◽  
Construction Land ◽  
Farmland Protection ◽  
Ecological Protection ◽  
S Model ◽  
Rural Construction

Abstract In this study, we selected 11 townships with severe ground subsidence located in Weishan County as the study area. Based on the interpretation data of Landsat images, the Binary logistic regression model was used to explore the relationship between land use change and the related 7 driving factors at a scale of 60m * 60m. Using the CLUE-S model, combined with Markov model, the simulation of land use under three scenarios–namely, natural development scenario, ecological protection scenario and farmland protection scenario–were explored. Firstly, using land use map in 2005 as input data, we predicted the land use spatial distribution pattern in 2016. By comparing the actual land use map in 2016 with the simulated map of land use pattern in 2016, the prediction accuracy was evaluated based on the Kappa index. Then, after validation, the distribution of land use pattern in 2025 under the three scenarios was simulated. The results showed the following: (1) The driving factors had satisfactory explanatory power for land use changes. The Kappa index was 0.82, which indicated good simulation accuracy of the CLUE-S model. (2) Under the three scenarios, the area of other agricultural land and water body showed an increasing trend; while the area of farmland, urban and rural construction land, subsided land with water accumulation, and tidal wetland showed a decreasing trend, and the area of urban and rural construction land and tidal wetland decreased the fastest. (3) Under the ecological protection scenario, the farmland decreased faster than the other two scenarios, and most of the farmland was converted to ecological land such as garden land and water body. Under the farmland protection scenario, the area of tidal wetland decreased the fastest, followed by urban and rural construction land. We anticipate that our study results will provide useful information for decision-makers and planners to take appropriate land management measures in the mining area.

scholarly journals Scenario simulation of land use and land cover change in mining area

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xiaoyan Chang ◽  
Feng Zhang ◽  
Kanglin Cong ◽  
Xiaojun Liu
Keyword(s):  
Land Use ◽  
Spatial Distribution ◽  
Mining Area ◽  
Tidal Wetland ◽  
Kappa Index ◽  
Construction Land ◽  
Farmland Protection ◽  
Ecological Protection ◽  
S Model ◽  
Rural Construction

AbstractIn this study, we selected 11 townships with severe ground subsidence located in Weishan County as the study area. Based on the interpretation data of Landsat images, the Binary logistic regression model was used to explore the relationship between land use and land cover (LULC) change and the related 7 driving factors at a resolution of 60 m. Using the CLUE-S model, combined with Markov model, the simulation of LULC under three scenarios—namely, natural development scenario, ecological protection scenario and farmland protection scenario—were explored. Firstly, using LULC map in 2005 as input data, we predicted the land use spatial distribution pattern in 2016. By comparing the actual LULC map in 2016 with the simulated map in 2016, the prediction accuracy was evaluated based on the Kappa index. Then, after validation, the spatial distribution pattern of LULC in 2025 under the three scenarios was simulated. The results showed the following: (1) The driving factors had satisfactory explanatory power for LULC changes. The Kappa index was 0.82, which indicated good simulation accuracy of the CLUE-S model. (2) Under the three scenarios, the area of other agricultural land and water body showed an increasing trend; while the area of farmland, urban and rural construction land, subsided land with water accumulation, and tidal wetland showed a decreasing trend, and the area of urban and rural construction land and tidal wetland decreased the fastest. (3) Under the ecological protection scenario, the farmland decreased faster than the other two scenarios, and most of the farmland was converted to ecological land such as garden land and water body. Under the farmland protection scenario, the area of tidal wetland decreased the fastest, followed by urban and rural construction land. We anticipate that our study results will provide useful information for decision-makers and planners to take appropriate land management measures in the mining area.

scholarly journals Simulation of Land Use Pattern Evolution from a Multi-Scenario Perspective: A Case Study of Suzhou City in Anhui Province, China

2021 ◽  
Vol 18 (3) ◽  
pp. 921
Author(s):  
Rongtian Zhang ◽  
Jianfei Lu
Keyword(s):  
Land Use ◽  
Thematic Mapper ◽  
Anhui Province ◽  
Landscape Patterns ◽  
Cultivated Land ◽  
Land Area ◽  
Construction Land ◽  
Ecological Protection ◽  
Suzhou City ◽  
S Model

Land use/land cover change is a frontier issue in the field of geography research. Taking Suzhou City in Anhui Province as the research case, based on thematic mapper /enhanced thematic mapper+ (TM/ETM+) remote sensing data from 1998 to 2018, through the transfer matrix model and modified conversion of land use and its effects at small region extent (CLUE-S) model, the simulation of the land use landscape pattern evolution was studied from a multi-scenario perspective. The results showed that in the past 20 years, landscape patterns have undergone spatial–temporal conversion, which was mainly manifested as the evolution from a cultivated land landscape and other agricultural land to construction land, and there was some transformation between other landscape types, but the transformation degree was not significant. The spatial autocorrelation factor was introduced to correct the CLUE-S model, and the Kappa index reached 0.83, indicating that the modified CLUE-S model had a good simulation accuracy. (I) In the cultivated land protection scenario, limiting the conversion of basic farmland use, and by 2028, the proportion of cultivated land increased by 5.23%, distributed in eastern Suzhou City; (II) in the economic development scenario, by 2028, the construction land area increased by 14.58%, and was distributed in the surrounding regions of the built-up areas; and (III) in the ecological protection scenario, by 2028, wood land, water, and other ecological protection land area increased, and were distributed in the central and eastern part of Suzhou City. Research can provide useful decision-making support for land use optimization and remediation.

Spatial Pattern Simulation on Land Use Change in Nanchang Based on CLUE-S Model

2013 ◽  
Vol 295-298 ◽  
pp. 2523-2527 ◽  
Author(s):  
Jun Hong Liu ◽  
Jun Gong ◽  
Jian Hong Chen
Keyword(s):  
Land Use ◽  
Reference Value ◽  
Experimental Result ◽  
Basic Unit ◽  
Slope Aspect ◽  
Driving Mechanism ◽  
Kappa Index ◽  
Gis Technology ◽  
Land Use Pattern ◽  
S Model

The CLUE-S model is a widely used method in the aspect of spatial simulation. CLUE-S model to simulate the land use space pattern of Nanchang in 2005, and compare the simulated results with the land use status figure of Nanchang in 2005 was built on the basis of taking Nanchang as research region, analyzing the land use data of Nanchang in 1995 based on GIS technology, combining natural and social economic factors such as railway, highway, river, settlements, DEM, slope, aspect, etc. and filtering decisive driving factors to the spatial change of Nanchang’s main land use types with SPSS Logistic regression analysis. In the basic unit of 150M*150M grid level, KAPPA index reaches 0.870, the experimental result is ideal. At the same time, predicting the land use pattern of the year 2017 is based on the land use data of Nanchang in 2005. Experimental results indicate that CLUE-S model has good predicting ability to urban spatial structure development, and has reference value to driving mechanism research of the urban layout and analyzing urban development.

scholarly journals Spatial Pattern Simulation of Land Use Based on FLUS Model under Ecological Protection: A Case Study of Hengyang City

2021 ◽  
Vol 13 (18) ◽  
pp. 10458
Author(s):  
Chuchu Zhang ◽  
Peng Wang ◽  
Pingsheng Xiong ◽  
Chunhong Li ◽  
Bin Quan
Keyword(s):  
Land Use ◽  
Spatial Distribution ◽  
Prediction Method ◽  
Distribution Area ◽  
Kappa Index ◽  
Land Type ◽  
Marginal Areas ◽  
Ecological Protection ◽  
Regulation Function

With rapid economic development in China, the excessive expansion of cities has led to the imbalance of land use structure, and then the ecological regulation function of the land ecosystem experiences problems, which has become an obstacle to sustainable development. Therefore, in order to protect the ecological environment, regulate urban development and pursue the maximization of ecological benefits, it is necessary to analyze, simulate and predict land use change. In this study, Hengyang City was taken as the study area, and based on the current land use data of Hengyang City in 2010, 2015, and 2018, the land use type transfer during 2010–2015 and 2015–2018 was analyzed. Then, starting from 2010, the FLUS model was used to simulate the spatial distribution of land use in 2015 and 2018, and then the spatial distribution of land use in Hengyang City in 2025 was predicted with the Markov prediction method under the premise of ecological protection priority. The results show that the change in ecological land in Hengyang City is mainly distributed in the surrounding and marginal areas, because the topography of Hengyang City is a basin. Changes in land type in Hengyang City in 2015 were subtle and difficult to observe. However, in 2018, the transformation of non-ecological land into ecological land was obvious, and the distribution area of ecological land expanded significantly. The Kappa index of the results simulated by the FLUS model based on neural network is above 0.72, and overall accuracy is above 0.9, which is highly consistent with the actual situation. It is reasonable and convincing to predict the spatial distribution of land use in the context of ecological protection. The predicted results can be useful for urban planning and land use distribution and provide a reference for relevant decision-makers.

Research on Optimal Layout of Rural-Urban Construction Land Used Based on GIS Spatial Treatment in Foshan

2012 ◽  
Vol 610-613 ◽  
pp. 3785-3788
Author(s):  
Xuan Chen ◽  
Jian Zhang ◽  
Zai Gui Yang
Keyword(s):  
Land Use ◽  
Guangdong Province ◽  
Spatial Layout ◽  
Land Resources ◽  
Optimal Layout ◽  
Urbanization Process ◽  
Construction Land ◽  
Urban Rural ◽  
Intensive Land Use ◽  
Rural Construction

With the continuous acceleration of urbanization process in our country, the conflict between demand of urban-rural construction land and limitation of land resources in area with rapid economic development is becoming sharper. Therefore, the research for planning and layout of urban-rural construction land is particular important. This paper takes Foshan City, Guangdong Province as an example. With GIS spatial analysis, divide the researched area into grids of some standard dimensions (20 m×20 m) through setting a group of construction permission elements; calculate the construction permission index of each grid (evaluation unit) and determine the proper land construction degree of different grids (evaluation unit) according to size of construction permission index; define areas with different construction degrees and strengths hierarchically; establish the guide rules of construction permission for each area to realize the reasonable spatial layout of construction land, so as to arrange reasonable space for newly increased urban-rural construction land in general planning of land use, achieving economical and intensive land use.

Changing Land use Pattern in the Raniganj Coal Belt and Its Sustainable Management: A Case Study of Mangalpur Opencast Colliery

2020 ◽  
Vol Special Issue (1) ◽  
Author(s):  
Sarbendu Bikash Dhar ◽  
Manisha Dutta
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Temporal Dynamics ◽  
Secondary Data ◽  
Mining Area ◽  
Landsat 8 ◽  
Topographic Map ◽  
Land Use Pattern ◽  
Management Procedures ◽  
Bare Land

Opencast coal mining has an immense impact on the changing land use and land cover pattern of any colliery belt. This is the main thrust of the present study. Land-use practices, like built-up area, cropland, vegetation, water body, bare land, mining area etc. have been identified. The pattern of changing land use and land cover in the Mangalpur private opencast colliery has been analysed. At the same time, entire Raniganj block has been studied with the help of secondary data. SOI Topographic map 73M/2 has been used to show the situation of collieries both underground and opencast of Raniganj block in 1967. The land use and land cover changes in the Raniganj block have been analysed for 12 years i.e., from the year 2007 to 2019 using remote sensing techniques. The changes have been detected at 6 year time gap. For that purpose Landsat-5 TM, Landsat-8 OLI/ TIRS satellite images are used. Apart from that, the quantification of spatio-temporal dynamics of land use and land cover patterns are also examined by supervised image classification. The study exposed that extend of the mining area and the bare land area has increased in 2019 compared to 2007. On the contrary, cropland and vegetation cover have decreased significantly during the period under study. To achieve sustainable use of land in the study area, some management procedures have been discussed at the end

scholarly journals Clustering Coastal Land Use Sequence Patterns along the Sea–Land Direction: A Case Study in the Coastal Zone of Bohai Bay and the Yellow River Delta, China

2019 ◽  
Vol 11 (17) ◽  
pp. 2024 ◽  
Author(s):  
Zhi Ding ◽  
Fenzhen Su ◽  
Junjue Zhang ◽  
Yu Zhang ◽  
Shuchang Luo ◽  
...  
Keyword(s):  
Land Use ◽  
Coastal Zone ◽  
Yellow River ◽  
Yellow River Delta ◽  
Bohai Bay ◽  
Land Use Pattern ◽  
Construction Land ◽  
Coastal Land Use ◽  
Coastal Land

Specific knowledge about the characteristics of coastal land use along the sea–land direction helps to better understand the spatial heterogeneity of coastal land use, which could offer scientific support for rational land management and the sustainable development of the coastal zone. However, the traditional methods including buffering or the regional method are hard to extract detailed spatial structure and location correlations of coastal land use along the sea–land direction. Therefore, we developed a model, called sequence–based clustering of coastal land use pattern (SCCLUP), to mine the coastal land use sequence patterns (CLUSPs) along the sea–land direction. As a case study in the major coastal zone of Bohai Bay and the Yellow River Delta from 1990 to 2010, we found that: (1) The land use showed a sequential distribution along the sea–land direction. And the land use closed to shoreline and inland boundary had relative stable sequential location along the sea–land direction. However, the middle land uses had dynamic sequential locations that led to multiple CLUSPs; (2) due to the increasing percent of construction land, the artificial level of CLUSPs was continuously increasing and new CLUSPs tended to distribute around port areas. Different CLUSPs with similar land use sequential relationships tended to have similar land use structure along the sea–land direction; (3) the land uses sequential location along the sea–land direction revealed the actual distance of land use to the shoreline and had a tight correlation with environmental factors (salinity, water, and landform). The land use with large increasing and wide adaptivity (like construction land) had a large impact on the changes of CLUSPs in the study area. Therefore, strong control should be provided for the excessive expansion of land use like construction land to limit the over changes in land use pattern along the sea–land direction. Additionally, the spatial heterogeneity of land use along the sea–land direction should be considered to a better understanding of anthropic impacts on the coastal zone.

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