scholarly journals A Dynamic Urban Lake Area Evolution Model Based on Multilevel Grid, Cellular Automata, and Multiagent System

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-19
Author(s):  
Jianfeng Zhu ◽  
Shenzhen Tian

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.

2014 ◽  
Vol 16 (6) ◽  
pp. 1359-1374 ◽  
Author(s):  
Rebecca J. Austin ◽  
Albert S. Chen ◽  
Dragan A. Savić ◽  
Slobodan Djordjević

As urbanisation and climate change progress, the frequency of flooding will increase. Each flood event causes damage to infrastructure and the environment. It is thus important to minimise the damage caused, which can be done through planning for events, real-time control of networks and risk management. To perform these actions, many different simulations of network behaviour are required involving complex and computationally expensive model runs. This makes fast (i.e. real-time or repetitive) simulations very difficult to carry out using traditional methods, thus there is a requirement to develop computationally efficient and accurate conceptual sewer simulators. A new Cellular Automata (CA) based sewer model is presented which is both fast and accurate. The CA model is Lagrangian in nature in that it represents the flow as blocks, and movement of the blocks through the system is simulated. To determine the number of blocks which should be moved it uses either the Manning's or Hazen–Williams equation depending on the flow conditions to calculate the permitted discharge. A case study of the sewer network in Keighley, Yorkshire, is carried out showing its performance in comparison to traditional sewer simulators. The benchmarks used to verify the results are SIPSON and SWMM5.


Author(s):  
N. Mahdizadeh Gharakhanlou ◽  
M. S. Mesgari

Abstract. The rainfall-runoff process is one of the central aspects of hydrology. In the rainfall-runoff process, the fast accumulation of rainwater in the catchments and rivers may lead to a flood disaster. To prevent and manage such disasters, it is essential to model and simulate the runoff process. The cellular automata (CA) is a computational model that can represent and simulate complex and dynamic natural phenomena. The main objective of this research is to develop a CA model of the rainfall-runoff process and to use it for simulating and representation of the runoff in the Babol catchment. The study is carried out in two main steps. First, several data manipulation and analyses in ArcGIS 10.3 software are used to prepare the input data of the CA model. In the second step, the CA model is developed and implemented in the NetLogo 6.0.4 platform. The total amount of runoff in each cell during the year 2016 was calculated and presented as the output of the model. A map of the total generated runoff can be an important tool for flood management decision-makers and it can also be used for managing the catchment and assessing the water resources in the study area.


2016 ◽  
Vol 44 (5) ◽  
pp. 837-863 ◽  
Author(s):  
Hui Kong ◽  
Daniel Z Sui

Cellular Automata (CA) models are powerful simulation tools to study complex urban systems. Although there has been considerable amount of CA-based modeling work reported in the literature, few have been used as actual planning or policy making tools. The goal of this research aims to address the problem of “unapplicable CA models” by combining CA models with the framework of geodesign. Inspired by Batty's new science of cities, we put forward a geodesign-based framework for CA modeling to integrate the positive and normative dimension of the new science of cities as envisioned by Batty. Instead of merely applying CA models to positive urban studies, which typically requires more accurate predictions, we advocate the integration of positive (i.e. urban simulation) and normative (i.e. design) city science via the application of CA modeling to geodesign. By linking CA simulation with the geodesign framework, a geodesign-based CA model is developed and six urban design scenarios are integrated into the model, to test the urban growth impacts of these scenarios and generate a new design scenario accordingly. Using a case study of urban growth in Changping District, Beijing, we demonstrate that the normative and the positive dimension of Batty's new science for cities can be integrated. Geodesign, as a new conceptual framework, is helpful for streamlining the CA modelling process to evaluate different design scenarios and design new scenarios. In return, CA models could also contribute to the geodesign process by offering a tool for simulating and evaluating impacts of different design scenarios on urban growth.


2012 ◽  
Vol 4 (3) ◽  
pp. 222 ◽  
Author(s):  
Son Dong-Mei ◽  
Wang Gen-Xu ◽  
Shen Chen ◽  
Wang Jian ◽  
Fan Yan-Guo ◽  
...  

2007 ◽  
Vol 34 (4) ◽  
pp. 708-724 ◽  
Author(s):  
Daniel Stevens ◽  
Suzana Dragićević

This study proposes an alternative cellular automata (CA) model, which relaxes the traditional CA regular square grid and synchronous growth, and is designed for representations of land-use change in rural-urban fringe settings. The model uses high-resolution spatial data in the form of irregularly sized and shaped land parcels, and incorporates synchronous and asynchronous development in order to model more realistically land-use change at the land parcel scale. The model allows urban planners and other stakeholders to evaluate how different subdivision designs will influence development under varying population growth rates and buyer preferences. A model prototype has been developed in a common desktop GIS and applied to a rapidly developing area of a midsized Canadian city.


Water ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 1962
Author(s):  
Zhilong Zhao ◽  
Yue Zhang ◽  
Zengzeng Hu ◽  
Xuanhua Nie

The alpine lakes on the Tibetan Plateau (TP) are indicators of climate change. The assessment of lake dynamics on the TP is an important component of global climate change research. With a focus on lakes in the 33° N zone of the central TP, this study investigates the temporal evolution patterns of the lake areas of different types of lakes, i.e., non-glacier-fed endorheic lakes and non-glacier-fed exorheic lakes, during 1988–2017, and examines their relationship with changes in climatic factors. From 1988 to 2017, two endorheic lakes (Lake Yagenco and Lake Zhamcomaqiong) in the study area expanded significantly, i.e., by more than 50%. Over the same period, two exorheic lakes within the study area also exhibited spatio-temporal variability: Lake Gaeencuonama increased by 5.48%, and the change in Lake Zhamuco was not significant. The 2000s was a period of rapid expansion of both the closed lakes (endorheic lakes) and open lakes (exorheic lakes) in the study area. However, the endorheic lakes maintained the increase in lake area after the period of rapid expansion, while the exorheic lakes decreased after significant expansion. During 1988–2017, the annual mean temperature significantly increased at a rate of 0.04 °C/a, while the annual precipitation slightly increased at a rate of 2.23 mm/a. Furthermore, the annual precipitation significantly increased at a rate of 14.28 mm/a during 1995–2008. The results of this study demonstrate that the change in precipitation was responsible for the observed changes in the lake areas of the two exorheic lakes within the study area, while the changes in the lake areas of the two endorheic lakes were more sensitive to the annual mean temperature between 1988 and 2017. Given the importance of lakes to the TP, these are not trivial issues, and we now need accelerated research based on long-term and continuous remote sensing data.


Rural China ◽  
2017 ◽  
Vol 14 (2) ◽  
pp. 375-404 ◽  
Author(s):  
Chang Liu (刘昶) ◽  
Shiqing Bao (包诗卿) ◽  
Danqing Pei (裴丹青)

The xianggu (shiitake) mushroom industry in Xixia county, Henan, emerged and initially experienced rapid growth during the reform and opening up period. It has benefited from both the rapid expansion of the food consumption market in China and the guidance and support of the local government. After thirty years of sustained expansion, the growth of the mushroom market began to slow down and competition within the industry became fierce. Facing rich and powerful mushroom dealers, individual mushroom farmers have had to bear the brunt of market fluctuations. To break the predicament of farmers’ suffering from low prices (because of the bumper harvest paradox) and to help farmers protect their interests and gain a fair share of the industry’s profits, and thus to achieve sustained and healthy development of the mushroom industry, important institutional innovations are needed. 西峡县香菇产业在改革开放时期经历了从零开始的飞速增长,这既得益于食品消费市场的迅速扩张,也得益于地方政府的引导和扶持。在经历了三十年的持续扩张后,香菇市场增速开始放缓,业内竞争压力凸显。面对财大气粗的菇行,势孤力单的个体菇农首当其冲,受到市场的挤压。要破解菇贱伤农的困局,帮助菇农保护自己的利益和分享产业的利润,并实现香菇产业的健康持续发展,就需要在产业组织和制度上进行创新。 (This article is in English.)


2021 ◽  
Vol 10 (3) ◽  
pp. 149
Author(s):  
Nuno Pinto ◽  
António P. Antunes ◽  
Josep Roca

Cellular automata (CA) models have been used in urban studies for dealing with land use change. Transport and accessibility are arguably the main drivers of urban change and have a direct influence on land use. Land use and transport interaction models deal with the complexity of this relationship using many different approaches. CA models incorporate these drivers, but usually consider transport (and accessibility) variables as exogenous. Our paper presents a CA model where transport variables are endogenous to the model and are calibrated along with the land use variables to capture the interdependent complexity of these phenomena. The model uses irregular cells and a variable neighborhood to simulate land use change, taking into account the effect of the road network. Calibration is performed through a particle swarm algorithm. We present an application of the model to a comparison of scenarios for the construction of a ring road in the city of Coimbra, Portugal. The results show the ability of the CA model to capture the influence of change of the transport network (and thus in accessibility) in the land use dynamics.


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