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Journal articles on the topic 'Land use optimization'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Makarenko, V., G. Ruecker, R. Sommer, N. Djanibekov, G. Strunz, and O. Kolodyazhnyy. "GIS-based genetic algorithm optimization tool for supporting land use and land management restructuring." Kosmìčna nauka ì tehnologìâ 13, no. 1s (December 30, 2007): 33–37. http://dx.doi.org/10.15407/knit2007.01s.033.

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2

Yao, Jing, Xiaoxiang Zhang, and Alan T. Murray. "Spatial Optimization for Land-use Allocation." International Regional Science Review 41, no. 6 (September 1, 2017): 579–600. http://dx.doi.org/10.1177/0160017617728551.

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Land-use allocation has long been an important area of research in regional science. Land-use patterns are fundamental to the functions of the biosphere, creating interactions that have substantial impacts on the environment. The spatial arrangement of land uses therefore has implications for activity and travel within a region. Balancing development, economic growth, social interaction, and the protection of the natural environment is at the heart of long-term sustainability. Since land-use patterns are spatially explicit in nature, planning and management necessarily must integrate geographical information system and spatial optimization in meaningful ways if efficiency goals and objectives are to be achieved. This article reviews spatial optimization approaches that have been relied upon to support land-use planning. Characteristics of sustainable land use, particularly compactness, contiguity, and compatibility, are discussed and how spatial optimization techniques have addressed these characteristics are detailed. In particular, objectives and constraints in spatial optimization approaches are examined.

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3

Biłozor, Andrzej, Małgorzata Renigier-Biłozor, and Aleksandra Furman. "Multi-Criteria Land use Function Optimization." Real Estate Management and Valuation 22, no. 4 (February 6, 2015): 81–91. http://dx.doi.org/10.2478/remav-2014-0039.

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Abstract Space as a public good should be used in a way that is consistent with recognized social, cultural, aesthetic, economical and ecological values. The optimization of space is associated with its limitations, thus it should be subjected to rational management. Optimizing the function of city space involves identifying the most mismatched features of the area and a proposal to convert them into functions best suited with respect to the existing natural and anthropogenic, social, economic and ecological conditions. The selection criteria of the optimal use of land will be presented, as well as the parameters characterizing them and the possibility of using chosen multi-criteria methods of analysis. Social, economic and ecological criteria adopted for the analysis are the basis for the sustainable development of an area and coincide with factors which ought to be taken into account during the development of land-planning documents.

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4

Sadeghi, S. H. R., Kh Jalili, and D. Nikkami. "Land use optimization in watershed scale." Land Use Policy 26, no. 2 (April 2009): 186–93. http://dx.doi.org/10.1016/j.landusepol.2008.02.007.

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5

Tsybulska, S., N. Hradovych, and R. Paraniak. "Scientific and practical aspects of land use optimization in the agrosphere." Scientific Messenger of LNU of Veterinary Medicine and Biotechnologies 22, no. 93 (September 30, 2020): 90–96. http://dx.doi.org/10.32718/nvlvet-a9316.

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The article presents modern literature data on the need to improve the development of agricultural lands, taking into account the current state of agriculture. Paying attention to this issue requires special attention, as it has acquired not only theoretical but also practical significance. Intensification of negative tendencies of anthropogenic influence on edaphotope lead to a number of ecological crises of global character. We analyzed the state of land use of Lviv region and reflected the main problems of land use optimization. The dynamics of changes that took place in the structure of the land fund by types of lands is shown. An extremely important component of sustainable development of society is the quality of life provided by the continuous development of environmental innovations. The destruction of the structure of the edaphotope of the region causes the emergence and development of environmental crises and catastrophes. Preservation of high potential and quality functioning of edaphos requires changes to the constant effective maintenance of balance, which should be based on the principles of sustainable harmonious development and rationalization of land resources. In terms of regions of aridity coefficients according to research, it can be argued that natural and climatic conditions have a direct impact on the efficiency of agricultural production. Such results require a review of technologies, their modernization and the development of recommendations for their adaptation. Resource-saving land use of new territorial entities in the post-reform period includes two factors – economic and environmental. For proper organization and optimization of land holdings, it is advisable to create agro-landscapes with a clearly planned structure, which should take into account the ratio of functional-territorial orientation, economic assessment and environmental safety. This means that the main and main goal of harmonious targeted use should take into account a number of indicators of the land use system, which requires special attention to agroecosystems in the interdependent close development of environmental and economic aspects. No less important is the environmental factor of land use, as further ignoring it can create economic collapse. In this regard, the most important requirement of the time is the development, improvement and widespread implementation of resource- and energy-saving, environmentally friendly farming systems. Ecological tolerance of certain territories of land resources should be laid down in the process of designing land management developments, paying special attention to the properties of landscape ecosystems, taking into account adjacent land plots. In particular, in order to preserve the balance of agricultural landscapes, it is necessary to implement a set of preventive measures.

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6

Kaminsky, V. F., and V. F. Saiko. "Optimization of land as the main component of their effective use." Interdepartmental thematic scientific collection "Agriculture" 1, no. 92 (June 7, 2017): 3–7. http://dx.doi.org/10.31073/zem.92.3-7.

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The article analyzes the use of agricultural land in Ukraine and substantiates the ways of rational use and protection of land resources. The problems of effective use of agricultural lands are investigated. Factors affecting the productivity of agricultural land are considered.

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7

Jahanshahloo, L., and E. Haghi. "Fuzzy optimization model for land use change." Journal of Fuzzy Set Valued Analysis 2014 (2014): 1–13. http://dx.doi.org/10.5899/2014/jfsva-00164.

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8

STRANGE, NIELS, HENRIK MEILBY, and PETER BOGETOFT. "LAND USE OPTIMIZATION USING SELF-ORGANIZING ALGORITHMS." Natural Resource Modeling 14, no. 4 (June 28, 2008): 541–74. http://dx.doi.org/10.1111/j.1939-7445.2001.tb00073.x.

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9

Yanfang, Liu, and Huang Liang. "Land use structure optimization under systematic framework." Geo-spatial Information Science 5, no. 3 (January 2002): 46–52. http://dx.doi.org/10.1007/bf02826388.

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10

Taratula, Ruslana, Oleksandra Kovalyshyn, Zoriana Ryzhok, and Svitlana Malakhova. "Application of Mathematical Modelling for Optimization of Land-Use Management." Real Estate Management and Valuation 27, no. 3 (September 1, 2019): 59–68. http://dx.doi.org/10.2478/remav-2019-0025.

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Abstract The work has approved the methods of partial economic evaluation of lands by the indicators of yield capacity of agricultural crops, payback of expenditures and differential income for a typical agricultural enterprise, located on the territory of the natural-agricultural province of the Western Forest-steppe. The research supplies proposals concerning improvement of the methods of economic evaluation of lands in Ukraine on the example of the indicators of economic evaluation of the land use at the farming enterprise “GREEN GARDEN”. The indicators are used for the growing of agricultural crops, planning their yield capacity, comparison of the economic fertility of soils and determination of the economic results of growing agricultural crops under the current production conditions in a defined working area. The research proposes the optimization of land-use management, applying a metrical game on the basis of indicators of the economic evaluation of lands to define the optimal share of agricultural crops in crop rotation. This method can be used to optimize land use in any region. Application of mathematical modeling by indicators of differential income ensures that maximum gross income is obtained under the mixed strategy of the game on better and worse soils in the enterprise.

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11

ZHU, Wenjie, Yang GAO, and Cuiling SONG. "Dataset of the land use pattern optimization in Horqin Sandy Land." Data in Brief 33 (December 2020): 106335. http://dx.doi.org/10.1016/j.dib.2020.106335.

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12

Nikkami, D., M. Shabani, and H. Ahmadi. "Land Use Scenarios and Optimization in a Watershed." Journal of Applied Sciences 9, no. 2 (January 1, 2009): 287–95. http://dx.doi.org/10.3923/jas.2009.287.295.

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13

Memmah, Mohamed-Mahmoud, Françoise Lescourret, Xin Yao, and Claire Lavigne. "Metaheuristics for agricultural land use optimization. A review." Agronomy for Sustainable Development 35, no. 3 (May 21, 2015): 975–98. http://dx.doi.org/10.1007/s13593-015-0303-4.

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14

Ma, Shifa, Jianhua He, Feng Liu, and Yan Yu. "Land-use spatial optimization based on PSO algorithm." Geo-spatial Information Science 14, no. 1 (January 2011): 54–61. http://dx.doi.org/10.1007/s11806-011-0437-8.

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15

Ulez’ko, A. V., and P. V. Demidov. "Multi-criteria optimization of the arable land use." IOP Conference Series: Earth and Environmental Science 422 (January 9, 2020): 012104. http://dx.doi.org/10.1088/1755-1315/422/1/012104.

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16

Tymoshevskyi, V., T. Litvinenko, and V. Ilchenko. "Optimization of land use and land protection in dangerous erosion agricultural landscapes." Zemleustrìj, kadastr ì monìtorìng zemelʹ, no. 2 (May 24, 2017): 74–84. http://dx.doi.org/10.31548/zemleustriy2017.02.074.

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17

Podkovyrova, Marina, Olga Volobueva, Dmitriy Kucherov, and Larisa Gilyova. "Organization of rational use of agricultural land on a landscape-ecological basis." E3S Web of Conferences 164 (2020): 06021. http://dx.doi.org/10.1051/e3sconf/202016406021.

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The aim of the study is to develop a project for the rational organization of the use of agricultural land for land use on the basis of a comprehensive integrated assessment and landscape-ecological analysis, involving their landscape-ecological optimization, conservation of landscape diversity. This project will establish the main criteria for the optimization of agricultural lands as natural-economic systems: land and resource security; level of forest cover; agricultural load on landscapes (erosion level, specific gravity of irrigated and drained lands, livestock load per 100 ha of fodder land); the degree of agrogenic load on agrolandscapes (specific gravity of steam, indicators of plowing and agricultural development); landscape-ecological conditions (landscape situation, drainage of landscapes, relief, soil; water and radiation balances; manifestation of adverse physical and geographical processes); spatial and technological conditions (a variety of landscape patterns of arable land and other lands, their configuration and size); the degree of environmental tension (the degree of development of natural physical and geographical processes and anthropogenic ones: salinization, waterlogging, flooding, pollution of soils, snow, air and water basins, etc.); the amount of agricultural losses; environmental, social and economic efficiency of the implementation of design developments. The methods used are: abstract-logical, integrated landscape and environmental assessment, cartographic, modeling methods.

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18

Honarbakhsh, A., M. Pajoohesh, M. Zangiabadi, and M. Heydari. "Watershed Management through Land use Optimization Using Mathematical and Spatial Optimization Approaches." Journal of Water and Soil Science 21, no. 4 (February 1, 2018): 257–70. http://dx.doi.org/10.29252/jstnar.21.4.257.

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19

Li, Xin, and Xiaodong Ma. "An uncertain programming model for land use structure optimization to promote effectiveness of land use planning." Chinese Geographical Science 27, no. 6 (July 13, 2017): 974–88. http://dx.doi.org/10.1007/s11769-017-0896-4.

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20

Yu, Xujing, Liping Shan, and Yuzhe Wu. "Land Use Optimization in a Resource-Exhausted City Based on Simulation of the F-E-W Nexus." Land 10, no. 10 (September 27, 2021): 1013. http://dx.doi.org/10.3390/land10101013.

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Limited land resources are used to meet the growing economic, social, and ecological needs of people in China. Food, energy, and water (F-E-W) are the basic resources for supporting human survival and the transformation of different land uses. This paper tries to construct a theoretical framework of land use and the F-E-W nexus and uses system dynamics to simulate the optimal allocation of land use in Shizuishan City, China, by comparing different scenarios that have different parameters related to F-E-W. The final results follow: (1) according to the relationship between land use and the F-E-W nexus, a three-layer nested theoretical framework is constructed. (2) Future land use under different scenarios differs. Under the scenarios of a less dependence on coal energy, a higher utilization efficiency of energy and agricultural water resources, and a lower grain self-sufficiency rate, there are less crop and urban lands but more ecological land. However, generally speaking, crop and rural construction lands tend to decrease, while urban and ecological lands tend to increase. (3) Combined with different objectives, the rapid transformation scenario is considered a better option in which to achieve a balance among the economy, society, and ecology. This paper also discusses the application of land use optimization in the delineation of three control lines in territory-space planning in China.

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21

Kiptach, Fedir. "Optimization of the land use with considering of the landscape structure of the territory on the test sites." Visnyk of the Lviv University. Series Geography, no. 52 (June 27, 2018): 124–31. http://dx.doi.org/10.30970/vgg.2018.52.10176.

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The large-scale landscape maps necessity in developing projects and proposals for agriculture, forestry land-use and erosion protection were justified. Natural conditions of land-use in Babyno community in Stara Syniava district in Khmelnytsk region were described and analyses of the land structure were made. Accordingly, the land structure is characterised by ecologically destabilising lands, including arable lands, lands that were withdrawn from agriculture production and forestry (outbuildings, houses, roads, quarries, exterior use lands) are prevailing. They are covered 89.7 % (in particular, arable lands – 87.3 %) of total community lands. And, vice versa, ecologically stabilising lands (gardens, pastures, grasslands, shrubs, forest belts, forests, swamps, water covered lands) are covered a small percentage – 8.96 of the total research area. Therefore, soil erosion is covered 87.3 % of the total area − a significant percentage. Soil erosion caused decreasing of soil fertility and yields of agriculture. The average weighted losses of humus in the arable horizon of soils (0−30 cm) compared with full-profile standard analogues are 1.1 %. The first step of developing sustainable ecological landscape systems was justified by using a principle of land resource restoration and strengthening of their self-regulation through increasing the area of ecologically stabilised lands by low productivity lands and by their location with taking into consideration a complex morphological structure of landscape systems. Landscape systems of research area were classified by genesis and type of their economic use. Arable lands should cover no more than 45.4 % of the total community area. In particular, 2.6 % is recommended to use for field grain-steam tilled crop rotations and cultivating all agriculture crops of this zone by using intensive agriculture systems and the widespread introduction of their ecological links; 27.8 % is recommended to use for field grain-steam tilled crop rotations and cultivating all agriculture crops of this zone by using ecological systems of agriculture provided soil cultivation, sowing and caring for crops according to the elevation line directions. 15.0 % − for field grain-grass or grass-grain soil protected crop rotations with the total exclusion of row crops. 51.2 % of total community land area should be covered by perennial plants (1.6 %), grasslands (0.9 %), shrubs and forest belts (0.05 %), forests (27.1 %), swamps (0.21 %), lands covered by water (0.54 %). Other 3.4 % are covered by outbuildings and houses (1.2 %), roads (1.1 %), open-casts (0.2 %) and exterior use lands (0.9 %). The results of research helped to justify the rules of the rational use of land area in Babyno community and its analysis suggests that land area of the heavily dissected hills of the forest-steppe stabilising land should occupy at least 50−55 %. Conversely, destabilising – no more than 50−45 % (particularly arable land – 40−45 %). Key words: optimization of the land use, soil erosion, lands, landscape systems.

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22

Gur, Y. J., D. Shefer, and D. Magid. "Road Capacity Driven Land Use Model (CADLUM)." Environment and Planning A: Economy and Space 28, no. 12 (December 1996): 2227–40. http://dx.doi.org/10.1068/a282227.

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In this paper we examine the major effects of road network attributes in a metropolitan area on the spatial distribution and intensity of activities, and suggest a model to describe these effects. The model is based on the hypothesis that the transportation system affects land development primarily as a constraint: the intensity of land use in an area cannot exceed the capacity of the road network that serves the traffic it generates. With the model we examine the feasibility of a proposed land-use plan (or prediction) for an urban area, given a proposed transportation plan. If road-capacity constraints are violated, the model employs an optimization procedure to identify a feasible spatial distribution of the activities. In this paper we describe the conceptual basis for the model and its formulation as a distance-minimizing optimization problem, a heuristic solution method, and a simple application.

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23

Закирова, Alsu Zakirova, Клычова, Guzaliya Klychova, Клычова, and Augul Klychova. "Agricultural land management accounting and internal reporting on their use." Vestnik of Kazan State Agrarian University 8, no. 4 (January 13, 2014): 15–21. http://dx.doi.org/10.12737/2427.

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The article discusses the concept of management accounting as a system, that provides information on agricultural lands and the effectiveness of their usage of different users groups. An approach to management accounting organization of agricultural land, based on processes, is outlined. The authors shows a universal model of the internal management reporting on agricultural lands. The key indicators of the form must be: the quantity and evaluation of lands for agricultural purposes, owned by organization; the quantity and evaluation of leased land with the right of redemption, including the beginning of the period, at the end of the period, partially redeemed; the quantity and evaluation of land, received in rent up to 5 years; the quantity and evaluation of agricultural land by type, depending on the appointment of the target and use; the costs by type of land and its relationship to the main business processes; the performance indicators of individual types of lands; the refractive efficiency of land usage. Thus, an internal reporting is the main source of information for management decision-making on evaluation and optimization of the structural units, business processes and other segments of the agricultural organization.

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24

Kuchma, Tetyana, Oleksandr Tarariko, and Oleksandr Syrotenko. "Landscape Diversity Indexes Application for Agricultural Land Use Optimization." Procedia Technology 8 (2013): 566–69. http://dx.doi.org/10.1016/j.protcy.2013.11.080.

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25

MAKITANI, Hiromitsu. "Land use planning from the viewpoint of optimization process." Doboku Gakkai Ronbunshu, no. 389 (1988): 131–40. http://dx.doi.org/10.2208/jscej.1988.131.

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26

YING, Jiangqian. "Continuous Optimization Method for Integrated Land Use/Transportation Models." Journal of Transportation Systems Engineering and Information Technology 7, no. 3 (June 2007): 64–72. http://dx.doi.org/10.1016/s1570-6672(07)60022-1.

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27

Yim, Kelvin K. W., S. C. Wong, Anthony Chen, C. K. Wong, and William H. K. Lam. "A reliability-based land use and transportation optimization model." Transportation Research Part C: Emerging Technologies 19, no. 2 (April 2011): 351–62. http://dx.doi.org/10.1016/j.trc.2010.05.019.

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28

Yang, Zongzhen, Xiaocchong Zhu, and Douglas R. Moodie. "Optimization of Land Use in a New Urban District." Journal of Urban Planning and Development 141, no. 2 (June 2015): 05014010. http://dx.doi.org/10.1061/(asce)up.1943-5444.0000209.

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29

Liu, Dao Xin, and Lu Zhao. "Conceptual Model for the Evaluation and Optimization of Sustainable Land Use." Advanced Materials Research 718-720 (July 2013): 327–32. http://dx.doi.org/10.4028/www.scientific.net/amr.718-720.327.

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Sustainable land use plays a vital role in the process of regional development. To pursuit the sustainable use of land resources will be the effective approach to address the conflictions among farmland conservation, social development and environment protection. This paper reviewed the relevant research and studies on the field of sustainable land use including its various definitions, the sustainability evaluation and optimization of land resources, got some conclusions about the prospects in the study on sustainable land use and finally addressed the conceptual model for evaluating and optimizing sustainable land use.

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30

Jiang, Honglei, Xia Xu, Lingfei Wang, and Tong Zhang. "Integrating Ecosystem Service Values and Economic Benefits for Sustainable Land Use Management in Semi-Arid Regions in Northern China." Sustainability 13, no. 18 (September 18, 2021): 10431. http://dx.doi.org/10.3390/su131810431.

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Studies on land use structural optimization can support the sustainability of land resources. The Taipusi Banner lies in the arid and semiarid area of northern China, with rapid economic development and a vulnerable ecological condition. Taking the Taipusi Banner as a research case, we adopted a land use map and statistical data, and employed the ecosystem process model to establish five scenarios, including an economically optimal scenario, an ecologically optimal scenario, a comprehensively optimal scenario, a status quo, and a projected scenario. Based on multi-objective linear programming, the land use demand was optimized; then, the CLUE-S model and adaptability evaluation were adopted to establish spatial patterns. The ecological and economic benefits were then analyzed and policy suggestions are provided. The main results include the following: (1) The optimization outputs of various scenarios show that under optimization, cropland and forestland increased by 9.13% and 18.9%, respectively, and grassland decreased by 9.81%. (2) The land use optimization shows that comprehensive optimization aimed at achieving comprehensive benefits, ecological benefits, and economic benefits increased these benefits by 3.89%, 2.1%, and 6.2%, respectively. Compared with other scenarios, focusing on the comprehensive benefits of land use can result in the greatest increase in benefits to improve sustainability land resources. Land use optimization must consider not only the optimization of both the quantity and configuration but also the dimensions of both ecology and the economy. Land use should be based on a land suitability evaluation and optimization of the land use spatial configuration to update ineffective land uses and should gradually adjust both the ecological and engineering measures.

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31

Zeng, Y., W. Huang, W. Jin, and S. Li. "MULTI-AGENT BASED SIMULATION OF OPTIMAL URBAN LAND USE ALLOCATION IN THE MIDDLE REACHES OF THE YANGTZE RIVER, CHINA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 24, 2016): 1089–92. http://dx.doi.org/10.5194/isprsarchives-xli-b8-1089-2016.

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The optimization of land-use allocation is one of important approaches to achieve regional sustainable development. This study selects Chang-Zhu-Tan agglomeration as study area and proposed a new land use optimization allocation model. Using multi-agent based simulation model, the future urban land use optimization allocation was simulated in 2020 and 2030 under three different scenarios. This kind of quantitative information about urban land use optimization allocation and urban expansions in future would be of great interest to urban planning, water and land resource management, and climate change research.

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32

Zeng, Y., W. Huang, W. Jin, and S. Li. "MULTI-AGENT BASED SIMULATION OF OPTIMAL URBAN LAND USE ALLOCATION IN THE MIDDLE REACHES OF THE YANGTZE RIVER, CHINA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 24, 2016): 1089–92. http://dx.doi.org/10.5194/isprs-archives-xli-b8-1089-2016.

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The optimization of land-use allocation is one of important approaches to achieve regional sustainable development. This study selects Chang-Zhu-Tan agglomeration as study area and proposed a new land use optimization allocation model. Using multi-agent based simulation model, the future urban land use optimization allocation was simulated in 2020 and 2030 under three different scenarios. This kind of quantitative information about urban land use optimization allocation and urban expansions in future would be of great interest to urban planning, water and land resource management, and climate change research.

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33

Kaminskyi, V. F., I. P. Shevchenko, and L. P. Kolomiets. "Land management of the protection and rational use of agricultural land." Interdepartmental thematic scientific collection "Agriculture" 2, no. 93 (December 22, 2017): 3–7. http://dx.doi.org/10.31073/zem.93.3-7.

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Goal. To carry out a scientific analysis of approaches to the determination of the effectiveness of land use in the context of the transformation of land relations. Methods. System-structural analysis of approaches to optimization of land use of rural territories. Results. The theoretical and methodological approaches to increase the efficiency of use of agricultural land potential potential in the development of decentralization processes are substantiated. Conclusions. The complex system of measures concerning the ecological and economic regulation of the use of land- resource potential by the development of a system of land management projects on the basis of ecologically safe land use is substantiated and proposed.

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34

Liu, Yaolin, Wei Tang, Jianhua He, Yanfang Liu, Tinghua Ai, and Dianfeng Liu. "A land-use spatial optimization model based on genetic optimization and game theory." Computers, Environment and Urban Systems 49 (January 2015): 1–14. http://dx.doi.org/10.1016/j.compenvurbsys.2014.09.002.

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35

Ivanov, A. L. "Scientific and technological development of land use with the application of digital technologies in agriculture." Вестник Российской академии наук 89, no. 5 (May 6, 2019): 522–24. http://dx.doi.org/10.31857/s0869-5873895522-524.

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The project "Digital Land Use" created on the platform of a unified federal information system for agricultural lands is assessed in the paper. The project should provide the creation and application of an intelligent system for planning and optimization of agricultural landscapes. The reasons which decelerate the development of agricultural production are considered. Among them are the following: the shortcomings of land legislation, the lack of control over the lands state and over the soil resources inventarization.

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36

Yang, Hai Quan, Jian Zhang, and Zai Gui Yang. "Rational Land Planning Utilization Structure Optimization Based on Multi-Objective Linear Programming Model of Foshan." Advanced Materials Research 616-618 (December 2012): 1243–48. http://dx.doi.org/10.4028/www.scientific.net/amr.616-618.1243.

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Regional land use/cover change is one of the hot issues of the global research. Since the proposal of “land use/cover change” research program by the International Geosphere-Biosphere Program（IGBP）and International Human Dimensions Programme on Global Environmental Change（IHDP）in 1995, the research on the land use structure optimization has been increasingly important as the core issue of regional land use/cover change. The structural optimization of land use refers to the use of certain techniques and methods to make the regional future land use structure achieve the best economic, ecological and social benefits. Base on the multi-objective linear programming model and through the setting of 14 variables, this paper has proposed the land use structural optimization program for the rational land planning of Foshan, thus providing reference for the rational land planning of economically developed area.

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37

Zhang, Zhou, Ou, Tan, Song, Zhang, and Nie. "Land Suitability Evaluation and an Interval Stochastic Fuzzy Programming-Based Optimization Model for Land-Use Planning and Environmental Policy Analysis." International Journal of Environmental Research and Public Health 16, no. 21 (October 25, 2019): 4124. http://dx.doi.org/10.3390/ijerph16214124.

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People explosion and fast economic growth are bringing a more serious land resource shortage crisis. Rational land-use allocation can effectively reduce this burden. Existing land-use allocation models may deal with a lot of challenges of land-use planning. This study proposed a hybrid quantitative and spatial optimization land-use allocation model that could enrich the land-use allocation method system. This model has three advantages compared to former methods: (1) this model can simultaneously solve the quantitative land area optimization problem and spatial allocation problem, which are the two core aspects of land-use allocation; (2) the land suitability assessment method considers various geographical, economic and environmental factors which are essential to land-use allocation; (3) this model used an interval stochastic fuzzy programming land-use allocation model to solve the quantitative land area optimization problem. This model not only considers three uncertainties in the natural system but also involves various economic, social, ecological and environmental constraints—most of which are specifically put into the optimization process. The proposed model has been applied to a real case study in Liannan county, Guangdong province, China. The results could help land managers and decision makers to conduct sound land-use planning/policy and could help scientists understand the inner contradiction among economic development, environmental protection, and land use.

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Ilyin, U. M., K. I. Kalashnikov, T. M. Komendanova, and G. G. Khamnaeva. "Ecological optimization of agricultural landscapes in Ivolgin district of the Republic of Buryatia." Zemleustrojstvo, kadastr i monitoring zemel' (Land management, cadastre and land monitoring), no. 9 (September 1, 2020): 48–52. http://dx.doi.org/10.33920/sel-4-2009-08.

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The features of land use in Ivolgin district of the Republic of Buryatia - part of the buffer zone of the Baikal natural territory - are considered in this paper. It was revealed that the forest area of the district does not affect the environmental parameters of agricultural land. Thereby, agricultural land must be considered as a separate territorial unit. The main destabilizing factor in the ecological balance of agriculture in the Ivolgin district is arable land. By the authors, it is necessary to change the structure of agricultural land with the conversion of rainfed arable lands to irrigated lands and planting the forests to solve this problem.

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Xu, Ping, Fei Gao, Junchao He, Xinxin Ren, and Weijin Xi. "Modelling and optimization of land use/land cover change in a developing urban catchment." Water Science and Technology 75, no. 11 (March 3, 2017): 2527–37. http://dx.doi.org/10.2166/wst.2017.121.

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The impacts of land use/cover change (LUCC) on hydrological processes and water resources are mainly reflected in changes in runoff and pollutant variations. Low impact development (LID) technology is utilized as an effective strategy to control urban stormwater runoff and pollution in the urban catchment. In this study, the impact of LUCC on runoff and pollutants in an urbanizing catchment of Guang-Ming New District in Shenzhen, China, were quantified using a dynamic rainfall-runoff model with the EPA Storm Water Management Model (SWMM). Based on the simulations and observations, the main objectives of this study were: (1) to evaluate the catchment runoff and pollutant variations with LUCC, (2) to select and optimize the appropriate layout of LID in a planning scenario for reducing the growth of runoff and pollutants under LUCC, (3) to assess the optimal planning schemes for land use/cover. The results showed that compared to 2013, the runoff volume, peak flow and pollution load of suspended solids (SS), and chemical oxygen demand increased by 35.1%, 33.6% and 248.5%, and 54.5% respectively in a traditional planning scenario. The assessment result of optimal planning of land use showed that annual rainfall control of land use for an optimal planning scenario with LID technology was 65%, and SS pollutant load reduction efficiency 65.6%.

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Park, Kyung Ok, and Chang Hee Lee. "Land Generated Waste Load Unit Estimation Based on Land Use Map with LP Optimization." Journal of Wetlands Research 18, no. 3 (August 31, 2016): 226–31. http://dx.doi.org/10.17663/jwr.2016.18.3.226.

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هنربخش, افشین, مهدی پژوهش, مریم زنگی آبادی, and مسلم حیدری. "Land use Optimization using Combination of Goal Programming and Multi Objective Land Allocation Methods." journal of watershed management research 8, no. 16 (February 1, 2018): 241–58. http://dx.doi.org/10.29252/jwmr.8.16.241.

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Zhang, Xin Yu, and Pei Ji Shi. "Optimizing Land Use Structure for Low Carbon Target: A Case Study in Zhangye of Gansu Province." Applied Mechanics and Materials 707 (December 2014): 214–18. http://dx.doi.org/10.4028/www.scientific.net/amm.707.214.

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Regional land use is an important source of carbon emissions .To some extent , the optimization land use will change the pattern and structure of human energy consumption .In this paper, we try to put forward a new approach to optimize the land use structure of the low carbon target in Zhangye .Three schemes for land use low-carbon optimization were proposed and analyzed, and the policy suggestions were put forward finally . Compare with the original plan, Optimization program in the year of 2020, the amount of carbon accumulation increase 124.1648 million tons, and carbon emissions reduce 1,152,100 tons. This indicates that the scheme for land use planning to achieve carbon reduction and carbon accumulation has important guiding significance.

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Mutlu, Hasan. "Optimization of multi-objective land use model with genetic algorithm." Journal of Design for Resilience in Architecture and Planning 1, no. 1 (December 29, 2020): 15–32. http://dx.doi.org/10.47818/drarch.2020.v1i1002.

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ZHANG, He-bing, and Xiao-hu ZHANG. "Land use structural optimization of Lilin based on GMOP-ESV." Transactions of Nonferrous Metals Society of China 21 (December 2011): s738—s742. http://dx.doi.org/10.1016/s1003-6326(12)61672-0.

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Emirhüseyinoğlu, Görkem, and Sarah M. Ryan. "Land use optimization for nutrient reduction under stochastic precipitation rates." Environmental Modelling & Software 123 (January 2020): 104527. http://dx.doi.org/10.1016/j.envsoft.2019.104527.

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Park, Yoonsun, Dongkun Lee, Eunjoo Yoon, Yongwon Mo, and Jihun Leem. "Land Use Optimization using Genetic Algorithms - Focused on Yangpyeong-eup -." Journal of Environmental Impact Assessment 26, no. 1 (February 28, 2017): 44–56. http://dx.doi.org/10.14249/eia.2017.26.1.44.

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Nie, Yaling, Styliani Avraamidou, Xin Xiao, Efstratios N. Pistikopoulos, Jie Li, Yujiao Zeng, Fei Song, Jie Yu, and Min Zhu. "A Food-Energy-Water Nexus approach for land use optimization." Science of The Total Environment 659 (April 2019): 7–19. http://dx.doi.org/10.1016/j.scitotenv.2018.12.242.

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Lam, William H. K., Antonio C. K. Poon, and R. J. Ye. "Optimization of tunnel tolls in land use and transport planning." Journal of Advanced Transportation 30, no. 3 (June 1996): 45–56. http://dx.doi.org/10.1002/atr.5670300305.

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ZABURAEVA, Khava, Sharputdi ZAURBEKOV, and Khasan TAIMASKHANOV. "LAND USE OPTIMIZATION IN MOUNTAINOUS REGIONS OF THE NORTHEAST CAUCASUS." Sustainable Development of Mountain Territories 10, no. 1 (March 31, 2018): 35–47. http://dx.doi.org/10.21177/1998-4502-2018-10-1-35-47.

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Cao, Kai, Bo Huang, Shaowen Wang, and Hui Lin. "Sustainable land use optimization using Boundary-based Fast Genetic Algorithm." Computers, Environment and Urban Systems 36, no. 3 (May 2012): 257–69. http://dx.doi.org/10.1016/j.compenvurbsys.2011.08.001.

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