The Analyses of Land Use and Prevention in High-Density Main Urban Areas under the Constraint of Karst Ground Subsidence: Study of Wuhan City, China DOI Creative Commons
Lin Gao,

Yan Shi,

Yang Qiu

et al.

ISPRS International Journal of Geo-Information, Journal Year: 2023, Volume and Issue: 12(10), P. 425 - 425

Published: Oct. 16, 2023

The development and utilization of land in the main urban area have significantly impacted stability regional geological environment through various means, such as increased load subway construction, primarily manifested rock soil mass deformation leading to hazards. Therefore, it is worth exploring how reduce occurrence karst ground subsidence (KGS) reasonable control measures areas with large-scale developments buried formations. This study focuses on Wuhan City. An evaluation model for KGS was constructed using analytic hierarchy process (AHP) comprehensive index method by analyzing conditions that affect KGS. susceptibility zoning obtained GIS spatial analysis technology. results show susceptible can be divided into extreme, high, medium, weak susceptibility, accounting 4.93%, 15.30%, 33.21%, 46.56%, respectively, which are consistent distribution density past KSGs. Furthermore, selecting construction a human activity type, indirectly discusses influence intensity KSGs mainly concentrated high engineering significant intensity. Based above, strategies prevention KGSs proposed.

Language: Английский

An integrated GEE and machine learning framework for detecting ecological stability under land use/land cover changes DOI Creative Commons

Atiyeh Amindin,

Narges Siamian,

Narges Kariminejad

et al.

Global Ecology and Conservation, Journal Year: 2024, Volume and Issue: 53, P. e03010 - e03010

Published: May 27, 2024

Ecological stability (ES) is recognized as a crucial factor for sustainable development at global and regional scales. However, the importance of this was not considered significant. Hence, main aim study to introduce new approach that focuses on detecting ES over Maharloo watershed in Iran. To achieve goal, we extracted land use cover (LULC) data from Google Earth Engine (GEE) platform by applying random forest (RF) machine learning method, which obtained Kappa statistics 0.85, 0.86, 0.87 years 2002, 2013, 2023, respectively. We identified both stable unstable regions based LULC changes employed them using forecast ES. The most important predictors ecological were elevation, soil organic carbon index, precipitation, salinity. results research revealed certain areas within have experienced instability recent years, with gardens showing highest percentage (60.65%) among all land-use categories. performance validation our model suggest are reliable (AUC = 0.86). This offers detailed maps trends, offering valuable insights decision makers support landscape conservation restoration efforts. Overall, findings contribute more comprehensive understanding dynamics provide efforts other regions.

Language: Английский

Citations

12
Analysis and Prediction of Land Use/Land Cover Changes in Korgalzhyn District, Kazakhstan DOI Creative Commons
Onggarbek Alipbeki,

Chaimgul Alipbekova,

Gauhar Mussaif

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(2), P. 268 - 268

Published: Jan. 25, 2024

Changes occurring because of human activity in protected natural places require constant monitoring land use (LU) structures. Therefore, Korgalzhyn District, which occupies part the State Natural Reserve territory, is considerable interest. The aim these studies was to analyze changes composition use/land cover (LULC) District from 2010 2021 and predict LU transformation by 2030 2050. Landsat image classification performed using Random Forest on Google Earth Engine. combined CA-ANN model used LULC 2050, were carried out MOLUSCE plugin. results showed that 2021, there a steady increase share ploughable an adequate reduction grassland. It established that, this trend will continue. At same time, be no drastic other classes. obtained can helpful for development management plans policies District.

Language: Английский

Citations

10
Identifying the drivers of land expansion and evaluating multi-scenario simulation of land use: A case study of Mashan County, China DOI

Shuai Chen,

Shunbo Yao

Ecological Informatics, Journal Year: 2023, Volume and Issue: 77, P. 102201 - 102201

Published: July 12, 2023

Language: Английский

Citations

20
Dynamics of Land Use/Land Cover Considering Ecosystem Services for a Dense-Population Watershed Based on a Hybrid Dual-Subject Agent and Cellular Automaton Modeling Approach DOI Creative Commons
Yutong Li, Yanpeng Cai, Qiang Fu

et al.

Engineering, Journal Year: 2024, Volume and Issue: 37, P. 182 - 195

Published: Feb. 1, 2024

Land use/land cover represents the interactive and comprehensive influences between human activities natural conditions, leading to potential conflicts among human-related issues as well stakeholders. This study introduced economic standards for farmers. A hybrid approach (CA-ABM) of cellular automaton (CA) an agent-based model (ABM) was developed effectively deal with social land use synergic examine human–environment interactions projections conversions a humid basin in south China. Natural attributes socioeconomic data were used analyze its drivers change. The major modules CA-ABM are initialization, migration, assets, suitability, land-use change decisions. Empirical estimates factors influencing urban conversion probability captured using parameters based on spatial logistic regression (SLR) model. Simultaneously, multicriteria evaluation (MCE) Markov models obtain empirical affecting ecological conversion. An CA-SLR-MCE-Markov (ABCSMM) proposed explore impacts policies can reproduce observed patterns provide links forest transition expansion decisions ecosystem services. results demonstrated simulations under multi-policy scenarios, revealing usefulness normative research management.

Language: Английский

Citations

7
Simulation and projection of land use and land cover using remote sensing data and CA–Markov model case study DOI Creative Commons
Akash Behera, Kishan Singh Rawat, Sanjeev Kumar

et al.

Geocarto International, Journal Year: 2025, Volume and Issue: 40(1)

Published: April 28, 2025

Language: Английский

Citations

1
Landscape Ecological Risk Assessment and Analysis of Influencing Factors in Selenga River Basin DOI Creative Commons
Wangping Li,

Qingrun Lin,

Junming Hao

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(17), P. 4262 - 4262

Published: Aug. 30, 2023

Land degradation under the influence of global warming and ecological environmental destruction due to poor land management is main challenge facing Mongolian Plateau, its future risk change trends drivers are also unclear. Therefore, address context relevant this challenge, planning based on measured information from use patterns required. Based cover (LULC), study evaluates landscape (LER) Selenga River Basin by calculating pattern index. The spatiotemporal influencing factors in 1990 2040 were analyzed. According results LULC analysis, forest grassland primary types Basin. built area, forest, cropland showed an increasing trend, while area a fluctuating decreasing trend. From 2010, comprehensive dynamic degree trend rising first then falling, specifically 0.13% 0.29% will drop 0.06% 2040, indicating that range becoming more stable. assessment shows distribution “low at edge high middle”. index increases decreases, with peak value 2010 (0.085). By spatial aggregation LER partial correlation climate, we found Moran’s I “anti-V”-shaped average presents positive correlation, primarily high-value aggregation, peaked 2010. Precipitation had negative controlling for temperature, there was relationship between temperature precipitation. This provides scientific basis Basin, great significance maintaining security Plateau.

Language: Английский

Citations

11
Spatio-temporal pattern change of LULC and its response to climate in the Loess Plateau, China DOI Creative Commons
Liangyan Yang, Lei Shi, Juan Li

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: April 18, 2024

Abstract Exploring LULC change is essential for the sustainable development of ecologically fragile areas. This study based on transfer matrix and land use dynamicity, combined with data meteorological LP from 1980 to 2020, explore spatio-temporal characteristics its response climate in LP. The results indicated that overall was characterized by a decrease area cropland, grassland bare land, an increase woodland build-up trend had obvious stage around 2000. 2000 2020 more drastic than comprehensive utilization degree increases. impacts human activities LUCC Loess Plateau have regional differences. In southeast agricultural region, mainly affected activities, spatial distribution types constantly adjusted population growth economic development. central project returning cropland has great impact LULC. northwest arid vegetation sensitive temperature precipitation, significantly higher humid region.

Language: Английский

Citations

3
Spatio-temporal pattern change of LULC and its response to climate in the Loess Plateau, China DOI Creative Commons
Liangyan Yang, Lei Shi, Juan Li

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Oct. 5, 2024

Exploring land use/cover (LULC) change is essential for the sustainable development of ecologically fragile areas. The main objective this study was to clarify characteristics and differences in spatiotemporal changes LULC on Loess Plateau (LP) based transfer matrix use dynamics quantitatively describe impact natural factors using a geodetector. results indicated that overall LP characterized by decrease area cropland, grassland, bare land, an increase woodland built-up land. This trend shows clear phase-change characteristic around 2000. were primarily affected human activities southeastern agricultural region. project returning farmland forest grassland had great central Vegetation sensitive temperature precipitation, significantly higher than humid region northwest arid NDVI, PRE, TEM determined be contributors LP. These provide scientific basis

Language: Английский

Citations

3
Temporal segmentation method for 30-meter long-term mapping of abandoned and reclaimed croplands in Inner Mongolia, China DOI Creative Commons
Deji Wuyun, Liang Sun, Zhongxin Chen

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2025, Volume and Issue: 136, P. 104399 - 104399

Published: Feb. 1, 2025

Language: Английский

Citations

0
Analysis of the spatiotemporal evolution and driving factors of land use change in Jinan springs area of the Northern Karst region, China from 1986 to 2022 DOI Creative Commons
Shenting Gang,

Xiaohan Kong,

Tao Jia

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: 7(4)

Published: April 3, 2025

Language: Английский

Citations

0