Agent based simulation of a small catchment water management in northern Thailand

Bécu, Nicolas; Perez, Pascal; Walker, Andrew; Barreteau, Olivier; Page, Christophe Le

doi:10.1016/s0304-3800(03)00236-9

Cited by 188 publications

(121 citation statements)

References 9 publications

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“…These models may provide alternative approach to CA modelling. For example, CATCHSCAPE allows simulating the hydrological system with its distributed water balance or to irrigate schemes management, crop and vegetation dynamics (Bécu et al 2003). ABMs can be used in alluvial plains where processes between independent interacting entities behave according to the local environment (Teles et al 1998).…”

Section: Methodsmentioning

confidence: 99%

A flash flood hazard assessment in dry valleys (northern France) by cellular automata modelling

et al. 2014

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This paper presents an application of a cellular automaton-based run-off model (RUICELLS) to a series of small dry valleys in the Seine-Maritime department, northern France, to better assess their susceptibility to flash flood. These muddy floods shortly follow high rainfall (50-100 mm in less than 6 h) and occur in very small areas (\20 km 2 ). A surge generally rushes down through the main valley just a few minutes after rains have peaked. Previous events (n = 69, in the period 1983-2005) have occasionally threatened human lives and have caused significant damage to property and infrastructure. Nonetheless, given the variation among the valleys and the infrequency of events, these floods have not been numerous enough to permit a statistical analysis. Instead, we numerically simulate the possible future flash floods using RUICELLS, a cellular automaton model driven by a set of three deterministic hydrological rules. Simulations have been conducted for 148 basins, each subject to 16 different rainfall scenarios (2.368 simulations in total) to (1) estimate the peak flow discharges (Q), the specific peak flows (Q s ), and the lag times (T) of the flash floods and (2) 123Nat Hazards (2015) 75:2905-2929 DOI 10.1007/s11069-014-1470 warnings and increased vigilance. Our simulations indicate that the number of basins susceptible to flash flooding greatly increases with the higher rainfall intensity, the distribution of sensitive crops (sugar beet, corn, maize, and flax) and the basin morphology. Several small basins could also induce by convergence a bigger flood in the downstream humid valleys. The location of the highest simulated discharges is aligned with observed events, and this comparison provides an evaluation of the modelling performance and of the credibility of the results.

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Section: Methodsmentioning

confidence: 99%

A flash flood hazard assessment in dry valleys (northern France) by cellular automata modelling

et al. 2014

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“…Several other researchers have integrated MP in MAS, namely Berger (2001), Becu et al (2003), Schreinemachers et al (2007) and Valbuena et al (2008). Berger (2001) and Becu et al (2003) have applied MAS to the water management problem.…”

Section: Description Of the Manure Allocation Modelmentioning

confidence: 99%

“…Three, our model focuses only on the manure management problem given the current situation (crop-mix, types of livestock, profitability, etc). Other papers (Becu et al, 2003;Berger, 2001;Schreinemachers et al, 2007) combine the changes in resource use with the possibility of adapting farm activities to economic, ecological or other conditions. Our model is limited in capturing the adaptive capacity of farmers to new changes in 6 policies or economic conditions.…”

Section: Description Of the Manure Allocation Modelmentioning

confidence: 99%

“…Fourth, other researchers have used speciallydeveloped software, but we programmed our model using standard optimisation software (GAMS). Berger (2001) and Schreinemachers et al(2007) make use of MP-MAS framework developed at Hohenheim university and Becu et al (2003) uses the Cormas modelling framework (developed at CIRAD). Fifth, our model is comparative static, while other research depends on dynamic simulations of whole farm decisions.…”

Section: Description Of the Manure Allocation Modelmentioning

confidence: 99%

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A multi-agent simulation model for spatial optimisation of manure allocation

Straeten

Buysse

Nolte

et al. 2010

Journal of Environmental Planning and Management

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“…water, land, money, and labour forces) built to simulate catchment water management in the north of Thailand [3] or the agent-based modeling used to develop a water resource management and assessment system which combines spatiotemporal models of ecological indicators such as rainfall and temperature, water flow and plant growth [4]; (2) in biology -a model for the study of epidemiology or evacuation of injured persons [5][6][7][8]; and (3) in sociology -a multiagent system to discover how social actors could behave within an organization [9] or an agent-based simulation model to explore rules for rural credit management [10].…”

Section: Introductionmentioning

confidence: 99%

CFBM - A Framework for Data Driven Approach in Agent-Based Modeling and Simulation

Truong

Amblard

Gaudou

et al. 2016

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. This is an author-deposited version published in : http://oatao. Abstract. Recently, there has been a shift from modeling driven approach to data driven approach in Agent Based Modeling and Simulation (ABMS). This trend towards the use of data-driven approaches in simulation aims at using more and more data available from the observation systems into simulation models [1,2]. In a data driven approach, the empirical data collected from the target system are used not only for the design of the simulation models but also in initialization, evaluation of the output of the simulation platform. That raises the question how to manage empirical data, simulation data and compare those data in such agentbased simulation platform.In this paper, we first introduce a logical framework for data driven approach in agent-based modeling and simulation. The introduced framework is based on the combination of Business Intelligence solution and a multi-agent based platform called CFBM (Combination Framework of Business intelligence and Multi-agent based platform). Secondly, we demonstrate the application of CFBM for data driven approach via the development of a Brown Plant Hopper Surveillance Models (BSMs), where CFBM is used not only to manage and integrate the whole empirical data collected from the target system and the data produced by the simulation model, but also to initialize and validate the models.The successful development of the CFBM consists not only in remedying the limitation of agent-based modeling and simulation with regard to data management but also in dealing with the development of complex simulation systems with large amount of input and output data supporting a data driven approach.

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Agent based simulation of a small catchment water management in northern Thailand

Cited by 188 publications

References 9 publications

A flash flood hazard assessment in dry valleys (northern France) by cellular automata modelling

A flash flood hazard assessment in dry valleys (northern France) by cellular automata modelling

A multi-agent simulation model for spatial optimisation of manure allocation

CFBM - A Framework for Data Driven Approach in Agent-Based Modeling and Simulation

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