Suzhou Urban Land-Use Change and its Prediction Analysis

2012 ◽  
Vol 174-177 ◽  
pp. 3539-3542 ◽  
Author(s):  
Gang Fang ◽  
Juan Yang ◽  
Qi Li
Keyword(s):  
Land Use ◽  
Markov Model ◽  
Water Body ◽  
Dynamic Change ◽  
Urban Land ◽  
Urban Land Use ◽  
Cultivated Land ◽  
Land Area ◽  
Body Area ◽  
Construction Land

Based on the 2000 ETM+ and 2009 TM images, the Suzhou urban district as the research object, supported by the remote sensing software, using the support vector machine (SVM) classification to extract the urban landscape types in 2000-2009, analyzing the land-use dynamic change and mutual transformation in Suzhou urbanization process from the land-use type transition matrix, dynamic degree, development degree and consumption reduction degree, and using the Markov model to forecast the Suzhou urban land-use dynamic change trend in 2009, 2018, 2027 and 2036, for the future Suzhou land-use dynamic monitoring, land-use planning and adjustment, ecological environment regulation and restoration, and land resource sustainable utilization to provide the theoretical basis. The results show that Suzhou urban land-use occurred to a large changes from 2000 to 2009, the construction land area increased significantly, the cultivated land area reduced sharply, the wood land and water body area slightly increased. According to the Markov model prediction results from 2009 to 2036, the cultivated land and wood land area will continue to reduce, the construction land and water body area will continue to increase, which makes the contradiction between the cultivated land protection and the urban expansion will become more prominent.

scholarly journals A Two-Stage Fuzzy Optimization Model for Urban Land Use: A Case Study of Chongzhou City

2021 ◽  
Vol 13 (24) ◽  
pp. 13961
Author(s):  
Jinjiang Yao ◽  
Bingkui Qiu ◽  
Min Zhou ◽  
Aiping Deng ◽  
Siqi Li
Keyword(s):  
Land Use ◽  
Arable Land ◽  
Optimal Solution ◽  
Urban Land ◽  
Urban Land Use ◽  
Western China ◽  
Cultivated Land ◽  
Construction Land ◽  
Land Use Structure ◽  
Urban Construction

Under the background of New-type Urbanization, with the continuous advancement of urbanization and the all-round development of cities, all kinds of demands are also rising. In the case of demand, it is difficult to quickly adjust from the land supply side and to guide the optimization of the structure and layout of land use is one of the methods to achieve this based on the current situation and shortage of urban land use structure and spatial arrangement. Because of the complexity, uncertainty and dynamics of the land use system, it is necessary to use an uncertain model to accurately describe and propose the approximate optimal solution, so this study analyzes the influencing mechanism of land use and optimize the land use structure under uncertainties by using a Bayesian network and fuzzy mathematical programming. Based on the results of the two stages of analysis, the cellular automata simulation is completed. The framework is applied to Chongzhou city in western China. The results indicated that the optimal land space for cultivated land is in the middle and the south based on the joint influence probability of arable land and urban construction land. The conversion probability of the area near the east is low, and the joint impact probability of construction land in all areas is generally similar except for the western protection area. After the optimization of the fuzzy planning, the optimal construction land scale is 69.42 km2. Under the condition that the cultivated land’s red line is guaranteed, there is still 98.87 km2 of space for the increase in cultivated land. It is found through simulation that the increase in construction land would occur in the central and western parts of Chongzhou, which may be caused by the urban siphon effect. According to Monte Carlo verification, when the conversion probability exceeds 50%, the cultivated land could be turned into urban construction land, with an accuracy of 91.99%. Therefore, this proposed framework is helpful to understand the process of land use and provides a reference for making scientific and reasonable territorial spatial planning and guiding land use practice under uncertainties.

scholarly journals Estimation of ecosystem services value based on land use and cover change information derived from remote sensing data

2020 ◽  
Vol 198 ◽  
pp. 04026
Author(s):  
Liyan Wang ◽  
Chao Chen ◽  
Kai Wang
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Ecosystem Services ◽  
Quantitative Estimation ◽  
Research Area ◽  
Cultivated Land ◽  
Land Area ◽  
Construction Land ◽  
Ecosystem Services Value ◽  
Land Use And Cover

It is an effective method to study the value change of ecological services based on land use and cover change information. This paper analyzed the land use and cover change information in the research area, which is based on the remote sensing images and social statistics data of 2005, 2010, and 2015, and then, quantitative estimation of the ecosystem service value was performed. Yangtze-Huaihe river basin, China is a fragile ecological area, which is selected as the research area. During 2005-2015, the area of cultivated land and construction land was the main land use types in the study area, the land use and cover change in the study area were obvious, which was characterized by the increasing of construction land area and the decreasing of cultivated land area, and the total ecosystem services value in the research area has been decreasing continuously, the value from 34.376 billion yuan in 2005 to 26.161 billion yuan in 2015.

Predicting Urban Land Use Changes Using a CA–Markov Model

2014 ◽  
Vol 39 (7) ◽  
pp. 5565-5573 ◽  
Author(s):  
Jafar Nouri ◽  
Alireza Gharagozlou ◽  
Reza Arjmandi ◽  
Shahrzad Faryadi ◽  
Mahsa Adl
Keyword(s):  
Land Use ◽  
Markov Model ◽  
Land Use Changes ◽  
Urban Land ◽  
Urban Land Use

Changes of Land Use and its Prediction Based on CA-Markov Model in the Coastal Zone of Yancheng

2013 ◽  
Vol 726-731 ◽  
pp. 4929-4932
Author(s):  
Xian Bin Sun
Keyword(s):  
Land Use ◽  
Markov Model ◽  
Coastal Zone ◽  
Landscape Patterns ◽  
Space Distribution ◽  
Cultivated Land ◽  
Natural Wetland ◽  
Artificial Wetland ◽  
Wetland Area ◽  
Construction Land

For studying the influence of human activity on the change of land use type and ecological environment in coastal region, the coastal zone of Yancheng was selected to analyze the change of land use and spatial landscape pattern in the past 17 years by using geographic information system (GIS). The Markov model was applied to predict land use variation in the following 10 years. The results showed that: The land use structure in the coastal areas of Yancheng has undergone great changes from 1991 to 2008. It is demonstrated that the percentage of farmland area ascended from 36.42%. to 50.17%., and the artificial wetland area ascended from 9.96% to 20.22%,while the percentage of natural wetland area declined from 46.41% to 23.01%. Construction land increased five times (85.29km2) . Nature wetland, farmland and artificial wetland were the main land use types of research area with obvious reciprocal transformation. Nature wetland was mainly transferred to farmland and artificial wetland, and farmland was mainly transferred to artificial wetland and construction land in 1991-2008. The three types of time-space distribution extended to the coastal zone gradually. And the land exploitation activities became increasingly intensive. A series of landscape patterns changed because of severe human disturbance, such as obvious fragmentation, the dominance decrease, and the diversity and evenness increase, the degree of space across of the nature wetland and the artificial wetland increase. As a result of landscape fragmentation,ecological function in a landscape was declined. The simulated result by CA-Markov model indicated that cultivated land and artificial land continued to rise, the annual average increase rate of construction land was twice the earlier period and the reducing speed of natural wetland was 56.67% of the earlier stage. Between 1997 and 2018, the three types of land use (cultivated land, natural land and artificial wetland) have all extended to the coastal zone.

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.

Modeling urban land use change by the integration of cellular automaton and Markov model

2011 ◽  
Vol 222 (20-22) ◽  
pp. 3761-3772 ◽  
Author(s):  
DongJie Guan ◽  
HaiFeng Li ◽  
Takuro Inohae ◽  
Weici Su ◽  
Tadashi Nagaie ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Markov Model ◽  
Cellular Automaton ◽  
Urban Land ◽  
Urban Land Use ◽  
Urban Land Use Change

Karst Urban Land Use/Cover Change Research - In Guiyang City as an Example

2013 ◽  
Vol 864-867 ◽  
pp. 2764-2767
Author(s):  
Feng Tai Zhang ◽  
Jun Yi Zhang ◽  
Ji Xin Shao
Keyword(s):  
Land Use ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Area ◽  
Urban District ◽  
Urban Construction ◽  
Article Analysis ◽  
City Construction ◽  
Change Dynamic ◽  
Guiyang City

The urban land use and cover change (LUCC) through the biogeochemical cycle process affecting the city ecological environment, urban district LUCC is the key areas of LUCC research. Guiyang city is the typical karst plateau city of China and even the world, Karst natural background has vulnerability. So under the GIS support ,this article analysis land use/cover change dynamic of the Guiyang city from1990 to 2010, the results show that: (1) Guiyang city construction land area increased by 3.56 times in a short span of 20 years from 57km2 in 1990 to 204 km2 in 2010, urban area times; (2) A large number of woodlands occupied by city urban construction, nearly 20 years takes up the forest land area of 75.8 km2, accounting for 51.56% of the nearly 20 years of new urban construction area;

Study on the Defects of General Plan for Land Use and Relevant Land System in China

2012 ◽  
Vol 518-523 ◽  
pp. 6030-6033 ◽  
Author(s):  
Cong Xia Zhao ◽  
Peng Guang Zhou
Keyword(s):  
Land Use ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Uses ◽  
Construction Land ◽  
Land System ◽  
General Plan ◽  
Land Circulation ◽  
Land Requisition ◽  
Collective Construction

Since the middle of 1980s, urban land in our country has expanded rapidly. One of the important reasons is defects in the general plan for land use and the relevant system. This paper analyzes the defects in the general plans for land uses, the land requisition system, the assigning system and the collective construction land circulation in our country, and then includes an illustration that consummating the relevant land system is the key to govern urban land use.

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