Quantifying water provision service supply, demand and spatial flow for land use optimization: A case study in the YanHe watershed

2020 ◽  
Vol 43 ◽  
pp. 101117 ◽  
Author(s):  
Dengshuai Chen ◽  
Jing Li ◽  
Xiaonan Yang ◽  
Zixiang Zhou ◽  
Yuqi Pan ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Optimization ◽  
Water Provision

scholarly journals INTERACTIVE LAND-USE OPTIMIZATION USING LAGUERRE VORONOI DIAGRAM WITH DYNAMIC GENERATING POINT ALLOCATION

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 1091-1098
Author(s):  
S. Chaidee ◽  
P. Pakawanwong ◽  
V. Suppakitpaisarn ◽  
P. Teerasawat
Keyword(s):  
Land Use ◽  
Voronoi Diagram ◽  
Graph Drawing ◽  
Computation Time ◽  
Interactive Design ◽  
Practical Case ◽  
Linear Programs ◽  
Land Use Optimization ◽  
Mixed Use

In this work, we devise an efficient method for the land-use optimization problem based on Laguerre Voronoi diagram. Previous Voronoi diagram-based methods are more efficient and more suitable for interactive design than discrete optimization-based method, but, in many cases, their outputs do not satisfy area constraints. To cope with the problem, we propose a force-directed graph drawing algorithm, which automatically allocates generating points of Voronoi diagram to appropriate positions. Then, we construct a Laguerre Voronoi diagram based on these generating points, use linear programs to adjust each cell, and reconstruct the diagram based on the adjustment. We adopt the proposed method to the practical case study of Chiang Mai University’s allocated land for a mixed-use complex. For this case study, compared to other Voronoi diagram-based method, we decrease the land allocation error by 62.557 %. Although our computation time is larger than the previous Voronoi-diagram-based method, it is still suitable for interactive design.

scholarly journals Optimization of Land Use Based on the Source and Sink Landscape of Ecosystem Services: A Case Study of Fengdu County in the Three Gorges Reservoir Area, China

Land ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1242
Author(s):  
Haozhe Zhang ◽  
Qingyuan Yang ◽  
Huiming Zhang ◽  
Lulu Zhou ◽  
Hongji Chen
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Three Gorges Reservoir Area ◽  
Large Area ◽  
Land Use Optimization ◽  
Land Use Types ◽  
Ecological Constraint ◽  
Source And Sink ◽  
Degree Of Fragmentation

Promoting the preservation and appreciation of ecosystem services is an important value guide for land use optimization. In this research, Fengdu County in the Three Gorges Reservoir Area was selected as the focus of a case study. From the perspective of the source and sink landscape of ecosystem services, a MOP model and FLUS model were used to optimize the areas of various land use types and the spatial configurations of those land use types in the study area in 2035 under a strict ecological constraint (SEC) scenario, a moderate ecological constraint (MEC) scenario, and a relaxed ecological constraint (REC) scenario. We also superimposed and adjusted the results of land use optimization under the three ecological constraint scenarios, and obtained land use regionalization results that integrated multiple scenarios. The results indicated that (1) there were large differences in the areas and spatial distributions of the source and sink landscapes under the three scenarios. Under the SEC scenario, the important source landscapes (ISLs), common source landscapes (CSLs), and sink landscapes (SLs) areas covered 1676.62 km2, 1190.43 km2, and 33.81 km2, respectively. A large area of the CSLs and a small area of the SLs were transformed into ISLs area, and the degree of fragmentation of the landscape was low. Under the MEC scenario, the ISLs, CSLs, and SLs areas covered 1609.22 km2, 1241.60 km2, and 49.74 km2, respectively. The development of the source landscapes and sink landscapes was similar, and the degree of fragmentation was moderate. Under the REC scenario, the ISLs, CSLs, and SLs areas covered 1603.96 km2, 1243.32 km2, and 53.58 km2, respectively. A large area of CSLs was transformed into SLs area, and the degree of fragmentation was high. (2) Fengdu County was divided into seven types of areas: ecological conservation area; agricultural production area; construction optimization area; construction-ecological area; ecological-agricultural area; agricultural-construction area; and integrated development area. The results of this study can provide references for the territorial spatial planning and management of ecological barrier zones.

scholarly journals LAND USE OPTIMIZATION USING THE FUZZY MATHEMATICAL-SPATIAL APPROACH: A CASE STUDY OF CHELGERD WATERSHED, IRAN

2018 ◽  
Vol 26 (2) ◽  
pp. 75-87 ◽  
Author(s):  
Moslem Heydari ◽  
Afshin Honarbakhsh ◽  
Mahdi Pajoohesh ◽  
Maryam Zangiabadi
Keyword(s):  
Land Use ◽  
Industrial Development ◽  
Social Issues ◽  
Fuzzy Model ◽  
Land Use Optimization ◽  
Spatial Approach ◽  
Proposed Model ◽  
Dry Farming ◽  
Production Resources

In recent years, inappropriate land use, urban and industrial development along with different pollutions emanating from it gives rise to loss of natural resources and further leads to destructive floods, soil erosion, sedimentation and other various environmental, economic and social damages. Thus, management and planning are essential for the proper utilization, protection and revival of these resources. This study aimed to develop a mathematical-spatial optimum utilization model using FGP – MOLA in watershed including environmental and economic objectives while considering social issues. The results showed that the proposed model can lead to economic growth to 37% and decreasing the environmental damages to 2.4%. Under optimized condition, the area allocated to dry farming lands will decrease about 12% and gardens will increase about 423% and the other land uses remain unchanged too. In addition to, the results demonstrated the usefulness and efficiency of the proposed fuzzy model due to its flexibility and capability to simultaneously provide both optimum values and location of production resources.

Simulating multi-objective land use optimization allocation using Multi-agent system—A case study in Changsha, China

2016 ◽  
Vol 320 ◽  
pp. 334-347 ◽  
Author(s):  
Honghui Zhang ◽  
Yongnian Zeng ◽  
Xiaobin Jin ◽  
Bangrong Shu ◽  
Yinkang Zhou ◽  
...  
Keyword(s):  
Land Use ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Objective ◽  
System A ◽  
Land Use Optimization ◽  
Multi Agent ◽  
Optimization Allocation

scholarly journals Spatial Multi-Objective Land Use Optimization toward Livability Based on Boundary-Based Genetic Algorithm: A Case Study in Singapore

2020 ◽  
Vol 9 (1) ◽  
pp. 40 ◽  
Author(s):  
Kai Cao ◽  
Muyang Liu ◽  
Shu Wang ◽  
Mengqi Liu ◽  
Wenting Zhang ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Land Use ◽  
Central Region ◽  
Optimization Model ◽  
Optimization Problem ◽  
Weighted Sum ◽  
Multi Objective ◽  
Land Use Optimization ◽  
Future Direction

In this research, the concept of livability has been quantitatively and comprehensively reviewed and interpreted to contribute to spatial multi-objective land use optimization modelling. In addition, a multi-objective land use optimization model was constructed using goal programming and a weighted-sum approach, followed by a boundary-based genetic algorithm adapted to help address the spatial multi-objective land use optimization problem. Furthermore, the model is successfully and effectively applied to the case study in the Central Region of Queenstown Planning Area of Singapore towards livability. In the case study, the experiments based on equal weights and experiments based on different weights combination have been successfully conducted, which can demonstrate the effectiveness of the spatial multi-objective land use optimization model developed in this research as well as the robustness and reliability of computer-generated solutions. In addition, the comparison between the computer-generated solutions and the two real planned scenarios has also clearly demonstrated that our generated solutions are much better in terms of fitness values. Lastly, the limitation and future direction of this research have been discussed.

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