Abstract
Urban lakes have been threatened by rapid expansion of cities in recent years. Their area changes could be extracted by remote sensing technologies. On this basis, a Dynamic Urban Lake Area Evolution Model (DULAEM) is proposed based on a multiagent system (MAS) and a cellular automata (CA) model. The DULAEM is integrated upon an Urban Lake Multilevel Grid (ULMG), which is composed of the vector model with the raster model. In the DULAEM, the CA layer is mainly used for modelling the interactions between urban lakes and their surrounding land use change through the activity of each cell; the MAS layer represents the actions of three typical human activities: government, real estate developers, and residents. These three agents have different actions in extent, strength, and priority according to their standpoints and functions. The CA layer and the MAS layer are both integrated upon the ULMG. Finally, a case study in Wuhan proves that the DULAEM can control the global relative error under 10%. Therefore, the DULAEM is able to simulate the area change of urban lakes dynamically. It is significant for the policy-making of lake protection and the optimal configuration of land resources in the lakeside.
Highlights
Urban lakes are very precious freshwater resources for a city. ey supply water for living and production and play a significant role in regulating urban environment, storing flood, irrigating farmland, and beautifying the landscape of a city [1,2,3,4,5]. us, they are extremely valuable for urban development
Modified Normalized Difference Water Index (MNDWI) is more accurate than Normalized Difference Water Index (NDWI) in the urban images, because MNDWI can restrain the noise of buildings [41]
Urban Lakes Multilevel Grid. e fundamentals of Urban Lake Multilevel Grid (ULMG) are shown in Figure 3. e ULMG consists of twolevel grids. e first-level grid is irregular and adopts the vector model. e second-level grid is based on a square raster model. e grid in the second level is defined as the same size as the pixel of Landsat images
Summary
Urban lakes are very precious freshwater resources for a city. ey supply water for living and production and play a significant role in regulating urban environment, storing flood, irrigating farmland, and beautifying the landscape of a city [1,2,3,4,5]. us, they are extremely valuable for urban development. Cellular automata and multiagent systems were introduced to model the area change of urban lakes in a case study of Wuhan, China. Is paper aims to develop a Dynamic Urban Lake Area Evolution Model (DULAEM) based on MAS-CA model. For discrete geographic features, such as urban lakes, the raster model is difficult to distinguish the grid cells of each lake. On the basis of SIMG, this paper designed an Urban Lakes Multilevel Grid (ULMG), which integrated a regular structure with an irregular structure and combined the advantage of the vector model with that of the raster model [40]
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