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Summary
Abstract
Protocol
Discussion
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Acknowledgements
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生物学

空间使用SWAT模型的农业保护的做法和多目标优化的进化算法

Published: December 09, 2012
doi:
10.3791/4009
, , , , , , ,
1School of Environmental and Forest Sciences,University of Washington, 2Center for Agricultural and Rural Development, Department of Economics,Iowa State University, 3Department of Civil, Architectural, and Environmental Engineering,North Carolina A&T University, 4Iowa Geological and Water Survey

Summary

这项工作表明水质模型的集成与优化组件，利用进化算法求解最优（最低成本）的水质改善目标指定的一组安置的农业保护措施。的解决方案是使用一个多目标的方法，可以明确的量化的权衡。

Abstract

寻找具有成本效益（ 即成本最低）的方式保护实践的投资目标为实现特定的水质目标，在景观在流域管理是最重要的。传统的经济学方法在流域范围内寻找最低成本的解决方案（ 例如 ，5,12,20）认为场外的影响，可以准确地描述为一定比例的现场产生的污染。这种方法是不太可能代表实际的污染过程中的一个分水岭，在污染源的影响往往取决于复杂的生物物理过程。现代物理为基础的，空间分布式水文模拟模型的使用允许更大程度的现实主义的过程表示，但需要开发的模拟优化的模型框架，​​成为优化的一个组成部分。

进化进制算法似乎是一个特别有用的优化工具，能够处理的组合性质的一个分水岭模拟优化问题，并允许使用的水质模型。进化算法处理一个特定的空间分配作为候选的解决方案中的一个分水岭的保护措施，并利用迭代采用随机选择的运营商，重组和突变，以找到改进的优化目标集（群体）候选解决方案。在这种情况下的优化目标是，以尽量减少非点源污染的分水岭，同时最大限度地降低成本，保护的做法。最近一个不断扩大的研究组正在尝试使用类似的方法，将水质模型的广泛定义的进化优化方法3,4,9,10,13-15,17-19,22,23,25。在此应用中，我们展示了程序如下Rabotyagov等。的适当ACH，并集成了现代常用SWAT水质模型多目标进化算法SPEA2 26，和用户指定的一组保护的做法，其成本搜索完整的折衷前沿的成本之间的保护方法和用户指定的水质的目标。的前沿量化所面临的流域管理者，通过提供全方位的各种水质改善的目标与成本的权衡。该计划允许选择的分水岭配置，达到规定的水质改善目标和生产的保护实践的最佳位置地图。

Protocol

1。准备流域模型，并提供输入数据优化创建一个i_SWAT数据库从多个输入数据库，包括土壤，气候，管理和肥料使用了一项名为“旋转”，建立数据库。 另外，现有的SWAT的运行（可能创建与ArcSWAT或AVSWAT）可以被导入i_SWAT.exe中。在这种情况下，程序“swat_rewrite”可以用来取代管理或其他HRU字段级别的数据的基础上的信息的。 在这一点上的SWAT模型进行校正和验证。 SWAT模…

Discussion

我们建立一个综合性的仿真优化框架，以寻找成本最低的组合和位置的农业保护措施，实现了流域范围内的营养物减少的目标，涉及的分水岭配置的帕累托有效的套。提出了在图8的仿真优化系统的概念图。流域模拟，包括模拟的水质影响的农业保护措施的水文模型，SWAT2005，再加上基于Windows的数据库控制系统，i_SWAT 6,8处理。优化组件）SWAT水文响应单元（HRU的，采用的逻辑进…

Disclosures

The authors have nothing to disclose.

Acknowledgements

这项研究是资助部分从收到的美国环境保护局的针对性流域资助计划（项目＃WS97704801）的支持，在美国国家科学基金会的动态，加上自然和人类系统（项目＃DEB1010259-CARD-KLIN），和美国能源部农业研究所，Foodand农业的协调农业项目（项目编号20116800230190-CARD）。

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Tags

Spatial Multiobjective OptimizationAgricultural Conservation PracticesSWAT ModelEvolutionary AlgorithmCost-efficient TargetingWater Quality GoalsWatershed ManagementTraditional Economics MethodsOff-site ImpactsOn-site PollutionComplex Biophysical ProcessesPhysically-based ModelsSimulation-optimization FrameworkCombinatorial NatureCandidate SolutionsStochastic Operators

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Rabotyagov, S., Campbell, T., Valcu, A., Gassman, P., Jha, M., Schilling, K., Wolter, C., Kling, C. Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm. J. Vis. Exp. (70), e4009, doi:10.3791/4009 (2012).
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