Design of a web-based application of the coupled multi-agent system model and environmental model for watershed management analysis using Hadoop

Hu, Yao; Cai, Ximing; DuPont, Benjamin

doi:10.1016/j.envsoft.2015.04.011

Cited by 33 publications

(12 citation statements)

References 40 publications

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“…However, simulating such complex systematic interactions can be quite computationally expensive, which has constrained the application of agent-based models in simulating complex systems. With more advanced high-performance computing technologies developed in recent years, agent-based modeling has been more widely applied to simulating human behaviors in many areas, such as river basin management Hu et al, 2015), land use and land cover change (Kelley and Evans, 2011;Ralha et al, 2013), agriculture and ecosystems (Doran, 2001;Ng et al, 2011), economic and financial markets (Raberto et al, 2001;Zhao et al, 2013), and simulation of flood and other natural disaster events (Shi et al, 2009;Zhang et al, 2009;Aschwanden et al, 2012). These studies have shown that an agent-based modeling approach can potentially better represent empirical systems and improve understanding of the relationships among different system components.…”

Section: Methodsmentioning

confidence: 99%

Impacts of Human Behavioral Heterogeneity on the Benefits of Probabilistic Flood Warnings: An Agent‐Based Modeling Framework

Rivera

Cai

et al. 2016

J American Water Resour Assoc

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Flood forecasts and warnings are intended to reduce flood‐related property damages and loss of human life. Considerable research has improved flood forecasting accuracy (e.g., more accurate prediction of the occurrence of flood events) and lead time. However, the delivery of improved forecast information alone is not necessarily sufficient to reduce flood damage and loss of life, as people have varying responses and reactions to flood warnings. This study develops an agent‐based modeling framework that evaluates the impacts of heterogeneity in human behaviors (i.e., variation in behaviors in response to flood warnings), as well as residential density, on the benefits of flood warnings. The framework is coupled with a traffic model to simulate evacuation processes within a road network under various flood warning scenarios. The results show the marginal benefit associated with providing better flood warnings is significantly constrained if people behave in a more risk‐tolerant manner, especially in high‐density residential areas. The results also show significant impacts of human behavioral heterogeneity on the benefits of flood warnings, and thus stress the importance of considering human behavioral heterogeneity in simulating flood warning‐response systems. Further study is suggested to more accurately model human responses and behavioral heterogeneity, as well as to include more attributes of residential areas to estimate and improve the benefits of flood warnings.

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Section: Methodsmentioning

confidence: 99%

Impacts of Human Behavioral Heterogeneity on the Benefits of Probabilistic Flood Warnings: An Agent‐Based Modeling Framework

Rivera

Cai

et al. 2016

J American Water Resour Assoc

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“…A number of modelling approaches now integrate human behaviour with biogeochemical processes, for example linking human decision making to hydrological processes [217][218][219][220] and soil nutrient flow [70,[221][222][223]. There have also been studies on interactions between human decision making and ecology (habitat/land cover), for example in timber harvesting [224], and the impact of human activities on habitat metrics [225,226].…”

Section: Process-based Modelsmentioning

confidence: 99%

Emerging Opportunities for Landscape Ecological Modelling

Synes

Brown

Watts

et al. 2016

Curr Landscape Ecol Rep

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Landscape ecological modelling provides a vital means for understanding the interactions between geographical, climatic, and socio-economic drivers of land-use and the dynamics of ecological systems. This growing field is playing an increasing role in informing landscape spatial planning and management. Here, we review the key modelling approaches that are used in landscape modelling and in ecological modelling. We identify an emerging theme of increasingly detailed representation of process in both landscape and ecological modelling, with complementary suites of modelling approaches ranging from correlative, through aggregated process based approaches to models with much greater structural realism that often represent behaviours at the level of agents or individuals. We provide examples of the considerable progress that has been made at the intersection of landscape modelling and ecological modelling, while also highlighting that the majority of this work has to date exploited a relatively small number of the possible combinations of model types from each discipline. We use this review to identify key gaps in existing landscape ecological modelling effort and highlight emerging opportunities, in particular for future work to progress in novel directions by combining classes of landscape models and ecological models that have rarely been used together.

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“…Real aquifers, however, are substantially more complex, and it has been shown that this assumption may lead to large errors in estimates of pumping externalities and the value of groundwater management [ Brozović et al ., ]. In response, a growing body of work has used spatially‐distributed groundwater models, such as MODFLOW [ Harbaugh , ], to provide more realistic estimates of aquifer dynamics and the economics of groundwater use [e.g., Brozović et al ., ; Mulligan et al ., ; Castilla‐Rho et al ., ; Hu et al ., ]. However, due to computational constraints, these models typically have only been applied at coarse spatial and temporal resolutions (e.g., km 2 and monthly) that are insufficient to capture the borehole‐scale water table drawdown and changes in well yields that are experienced by individual farmers.…”

Section: Methodsmentioning

confidence: 99%

Effects of initial aquifer conditions on economic benefits from groundwater conservation

Foster

Brozović

Butler

2017

Water Resources Research

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Worldwide, there is growing recognition of the need to reduce agricultural groundwater use in response to rapid rates of aquifer depletion. To date, however, few studies have evaluated how benefits of conservation vary along an aquifer's depletion pathway. To address this question, we develop an integrated modeling framework that couples an agro‐economic model of farmers' field‐level irrigation decision‐making with a borehole‐scale groundwater flow model. Unique to this framework is the explicit consideration of the dynamic reductions in well yields that occur as an aquifer is depleted, and how these changes in intraseasonal groundwater supply affect farmers' ability to manage production risks caused by climate variability and, in particular, drought. For an illustrative case study in the High Plains region of the U.S., we apply our model to analyze the value of groundwater conservation activities for different initial aquifer conditions. Our results demonstrate that there is a range of initial conditions for which reducing pumping will have long‐term economic benefits for farmers by slowing reductions in well yields and prolonging the usable lifetime of an aquifer for high‐value irrigated agriculture. In contrast, restrictions on pumping that are applied too early or too late will provide limited welfare benefits. We suggest, therefore, that there are “windows of opportunity” to implement groundwater conservation, which will depend on complex feedbacks between local hydrology, climate, crop growth, and economics.

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Design of a web-based application of the coupled multi-agent system model and environmental model for watershed management analysis using Hadoop

Cited by 33 publications

References 40 publications

Impacts of Human Behavioral Heterogeneity on the Benefits of Probabilistic Flood Warnings: An Agent‐Based Modeling Framework

Impacts of Human Behavioral Heterogeneity on the Benefits of Probabilistic Flood Warnings: An Agent‐Based Modeling Framework

Emerging Opportunities for Landscape Ecological Modelling

Effects of initial aquifer conditions on economic benefits from groundwater conservation

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