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.

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 Modeling Land Use Changes and their Impacts on Non-Point Source Pollution in a Southeast China Coastal Watershed

2018 ◽  
Vol 15 (8) ◽  
pp. 1593 ◽  
Author(s):  
Xin Zhang ◽  
Lin Zhou ◽  
Yuqi Liu
Keyword(s):  
Land Use ◽  
Point Source ◽  
River Basin ◽  
Landscape Metrics ◽  
Land Use Changes ◽  
Landscape Patterns ◽  
Cultivated Land ◽  
Point Source Pollution ◽  
Coastal Watershed ◽  
Non Point Source Pollution

Changes in landscape patterns in a river basin play a crucial role in the change on load of non-point source pollution. The spatial distribution of various land use types affects the transmission of non-point source pollutants on the basis of source-sink theory in landscape ecology. Jiulong River basin in southeast of China was selected as the study area in this paper. Aiming to analyze the correlation between changing landscape patterns and load of non-point source pollution in this area, traditional landscape metrics and the improved location-weighted landscape contrast index based on the minimum hydrological response unit (HRULCI) were applied in this study, in combination with remote sensing and geographic information system (GIS) technique. The results of the landscape metrics showed the enhanced fragmentation extent and the decreasing polymerization degree of the overall landscape in the watershed. High values of HRULCI were concentrated in cultivated land, while low HRULCI values mostly appeared in forestland, indicating that cultivated land substantially enhanced non-point source pollution, while forestland inhibited the pollution process.

scholarly journals DOC concentrations and spectroscopic characteristics in surface runoff from contrasting wetland ecosystems: a case study in the Sanjiang Plain, Northeast China

2012 ◽  
Vol 9 (6) ◽  
pp. 7919-7945
Author(s):  
L. L. Wang ◽  
C. C. Song ◽  
G. S. Yang
Keyword(s):  
Land Use ◽  
Surface Runoff ◽  
Rice Paddy ◽  
Sanjiang Plain ◽  
Natural Wetland ◽  
Artificial Wetland ◽  
The Sanjiang Plain ◽  
Wetland Ecosystems ◽  
Wetland Site ◽  
Spectroscopic Characteristics

Abstract. Dissolved organic carbon (DOC) is a significant component of carbon and nutrient cycling in fluvial ecosystems. Natural wetlands, as important DOC sources for river and ocean ecosystems, have experienced extensive natural and anthropogenic disturbances such as climate change, hydrological variations and land use change in recent years. In this study, we examined the concentrations and spectroscopic characteristics of DOC in surface runoff from contrasting wetlands along the lower Amur River Basin in the Sanjiang Plain, Northeastern China. Surface runoff from seven sites (two natural phialiform wetlands, three natural riparian wetland, one degraded wetland, and one artificial wetland i.e. rice paddy) were monitored during the growing seasons of 2009 and 2010. Surface runoff from the natural wetland sites exhibited a wide range of DOC concentrations (10.06–48.73 mg l−1) during the two-year sampling period. The specific ultraviolet absorbance (SUVA) and color values of DOC in surface runoff were also highly variable at different natural wetland sites. Our analysis also found that DOC values were significantly lower in the surface runoff at the artificial wetland site compared with those from surface runoff at the five natural wetland sites and one degraded wetland site (P < 0.01). The colour per carbon unit (C / C) ratio in surface runoff at the artificial wetland site was one to three times lower, while the E4 / E6 ratio (Abs465 / Abs665) was reduced by 42.07% to 55.36%, compared to those from runoff water at the five natural wetland sites. The C / C ratios in surface runoff at the natural wetland sites were higher than that from surface runoff at the degraded wetland, which in turn has greater values than that from surface runoff at the artificial wetland site. Meanwhile, the E4 / E6 ratio in the surface runoff from the artificial wetland was lower compared to that in surface runoff at the degraded wetland site (P < 0.05). This implies that disturbance to DOC concentrations and spectroscopic characteristics in surface runoff is stronger from natural wetland conversion to rice paddy land than that from wetland degradation. The dataset from this study can provide insightful points for understanding the underlying mechanisms of aquatic DOC dynamics from wetland ecosystems, and improve land use policy and management strategies in the future.

scholarly journals Relating Land Use/Cover and Landscape Pattern to the Water Quality under the Simulation of SWAT in a Reservoir Basin, Southeast China

2021 ◽  
Vol 13 (19) ◽  
pp. 11067
Author(s):  
Kaige Lei ◽  
Yifan Wu ◽  
Feng Li ◽  
Jiayu Yang ◽  
Mingtao Xiang ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Google Earth ◽  
Landscape Patterns ◽  
Buffer Size ◽  
Construction Land ◽  
Drinking Water Standard ◽  
Reservoir Basin ◽  
The Impact ◽  
Cover Pattern

Understanding the relationship between land use/cover pattern and water quality could provide guidelines for non-point source pollution and facilitate sustainable development. The previous studies mainly relate the land use/cover of the entire region to the water quality at the monitoring sites, but the water quality at monitoring sites did not totally reflect the water environment of the entire basin. In this study, the land use/cover was monitored on Google Earth Engine in Tang-Pu Reservoir basin, China. In order to reflect the water quality of the whole study area, the spatial distribution of the determinants for water quality there, i.e., the total nitrogen and total phosphorus (TN&TP), were simulated by the Soil and Water Assessment Tool (SWAT). The redundancy analysis explored the correlations between land use/cover pattern and simulated TN&TP. The results showed that: (1) From 2009 to 2019, forest was the dominant land cover, and there was little land use/cover change. The landscape fragmentation increased, and the connectivity decreased. (2) About 25% TP concentrations and nearly all the TN concentrations at the monitoring points did not reach drinking water standard, which means nitrogen and phosphorus pollution were the most serious problems. The highest output per unit TN&TP simulated by SWAT were 44.50 kg/hm2 and 9.51 kg/hm2 and occurred in areas with highly fragile landscape patterns. (3) TN&TP correlated positively with cultivated and construction land but negatively with forest. The correlation between forest and TN&TP summited at 500–700-m buffer and construction land at 100-m buffer. As the buffer size increased, the correlation between the cultivated land, and the TN weakened, while the correlation with the TP increased. TN&TP correlated positively with the Shannon’s Diversity Index and negatively with the Contagion Index. This study provides a new perspective for exporting the impact of land use/cover pattern on water quality.

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.

scholarly journals Parallel Cellular Automata Markov Model for Land Use Change Prediction over MapReduce Framework

2019 ◽  
Vol 8 (10) ◽  
pp. 454 ◽  
Author(s):  
Junfeng Kang ◽  
Lei Fang ◽  
Shuang Li ◽  
Xiangrong Wang
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Cellular Automata ◽  
Markov Model ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Remote Sensing Images ◽  
Mapreduce Framework ◽  
Construction Land ◽  
Model Based

The Cellular Automata Markov model combines the cellular automata (CA) model’s ability to simulate the spatial variation of complex systems and the long-term prediction of the Markov model. In this research, we designed a parallel CA-Markov model based on the MapReduce framework. The model was divided into two main parts: A parallel Markov model based on MapReduce (Cloud-Markov), and comprehensive evaluation method of land-use changes based on cellular automata and MapReduce (Cloud-CELUC). Choosing Hangzhou as the study area and using Landsat remote-sensing images from 2006 and 2013 as the experiment data, we conducted three experiments to evaluate the parallel CA-Markov model on the Hadoop environment. Efficiency evaluations were conducted to compare Cloud-Markov and Cloud-CELUC with different numbers of data. The results showed that the accelerated ratios of Cloud-Markov and Cloud-CELUC were 3.43 and 1.86, respectively, compared with their serial algorithms. The validity test of the prediction algorithm was performed using the parallel CA-Markov model to simulate land-use changes in Hangzhou in 2013 and to analyze the relationship between the simulation results and the interpretation results of the remote-sensing images. The Kappa coefficients of construction land, natural-reserve land, and agricultural land were 0.86, 0.68, and 0.66, respectively, which demonstrates the validity of the parallel model. Hangzhou land-use changes in 2020 were predicted and analyzed. The results show that the central area of construction land is rapidly increasing due to a developed transportation system and is mainly transferred from agricultural land.

scholarly journals Correlation Studies between Land Cover Change and Baidu Index: A Case Study of Hubei Province

2020 ◽  
Vol 9 (4) ◽  
pp. 232 ◽  
Author(s):  
Yongqing Zhao ◽  
Rendong Li ◽  
Mingquan Wu
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Driving Forces ◽  
Research Area ◽  
Hubei Province ◽  
Cultivated Land ◽  
Land Occupation ◽  
Construction Land ◽  
The Impact

Current land cover research focuses primarily on spatial changes in land cover and the driving forces behind these changes. Among such forces is the influence of policy, which has proven difficult to measure, and no quantitative research has been conducted. On the basis of previous studies, we took Hubei Province as the research area, using remote sensing (RS) images to extract land cover change data using a single land use dynamic degree and a comprehensive land use dynamic degree to study land cover changes from 2000 to 2015. Then, after introducing the Baidu Index (BDI), we explored its relationship with land cover change and built a tool to quantitatively measure the impact of changes in land cover. The research shows that the key search terms in the BDI are ‘cultivated land occupation tax’ and ‘construction land planning permit’, which are closely related to changes in cultivated land and construction land, respectively. Cultivated land and construction land in all regions of Hubei Province are affected by policy measures with the effects of policy decreasing the greater the distance from Wuhan, while Wuhan is the least affected region.

Spatial and Temporal Change of Land Use/Cover Change in Hebei Bohai Rim for Recent 40 Years

2014 ◽  
Vol 955-959 ◽  
pp. 4002-4008 ◽  
Author(s):  
Jing Chen ◽  
Mei Chen Fu ◽  
Jing Wei
Keyword(s):  
Land Use ◽  
Temporal Change ◽  
Water Area ◽  
Transfer Model ◽  
Cultivated Land ◽  
Forest Land ◽  
Construction Land ◽  
Grass Land ◽  
Transfer Direction ◽  
Land Water

Based on the remote sensing image data of 1970, 1980, 1990, 2000 and 2008, the transfer matrix of land use/cover change were extracted using ArcGIS software, and the paper analyzed the spatial and temporal change of land use/cover change using barycenter transfer model. Results showed that: (1) From 1970 to 2008, cultivated land had been dominated land use type, followed by water area, construction land and unexploited land, and there was small proportion of forest land and grass land; forest land, water area, construction land and unexploited land were increased, and cultivated land and grass land were decreased; the conversions among cultivated land, water area and unexploited land were more closely. (2) The study on barycenter transfer model indicated that from 1970 to 2008, the barycenter transfer direction of cultivated land and construction land was north by west, and the barycenter transfer direction of forest land and unexploited land was south by west, and the barycenter transfer direction of grass land was south by east, with the maximum distance; and that of water area was north by east.

scholarly journals Traditional Villages in Forest Areas: Exploring the Spatiotemporal Dynamics of Land Use and Landscape Patterns in Enshi Prefecture, China

Forests ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 65
Author(s):  
Luqi Wang ◽  
Chen Wen
Keyword(s):  
Land Use ◽  
Urban Growth ◽  
Spatiotemporal Analysis ◽  
Environmental Conservation ◽  
Lower Proportion ◽  
Landscape Patterns ◽  
Landscape Diversity ◽  
Limited Attention ◽  
Cultivated Land ◽  
Rural Revitalization

In the context of the implementation of rural revitalization strategies in China, limited attention has been paid to the landscape patterns of traditional villages that are located in vulnerable environments. This study explores the land-use dynamics and landscape patterns of traditional villages in Enshi Prefecture, China. Based on a spatiotemporal analysis of land use and landscape metrics, we analyzed the prefecture and the environment surrounding 73 traditional villages. The results show that, from 2000 to 2020, most villages have had an increased share of forest, a decreased share of cultivated land and grassland, and a decreased level of landscape diversity and fragmentation. Additionally, villages at a higher elevation or with a steeper slope are associated with a lower level of landscape diversity, a lower proportion of cultivated land and grassland, and a higher proportion of forest. Overall, although the environment around the villages does not show dramatic changes in landscape patterns, land-use change at the prefecture level shows an increasing rate of urban growth from 2010 to 2020. For remote traditional villages in ecologically vulnerable and less-developed areas, caution is needed in the tradeoff between environmental conservation and economic development.

Sign in / Sign up

Export Citation Format

Share Document