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首页> 外文会议>International symposium on spatial accuracy assessment in natural resources and environmental science >Improving Decisions in Water Management by Incorporating Spatio-temporal Variability of Agricultural Practices, Soil and Climate.
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Improving Decisions in Water Management by Incorporating Spatio-temporal Variability of Agricultural Practices, Soil and Climate.

机译：通过纳入农业实践，土壤和气候的时空变异来改善水管理决策。

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摘要

Water management is a crucial point for decision makers at various geographical and political levels. Existing decision support systems (DSS) combine physical factors (soil, climate) that determine crop water needs with simple soil water balance models and very simple parameterizations (Trouvat, 1997; Mailhol, 1992). Although the irrigation demand is strongly determined by farmer choices regarding agricultural practices, these latter are not really taken into account in the existing DSS. We initiate here work dealing with the incorporation in the DSS of agricultural practices (including the spatio-temporal variability that necessarily exists within an extensive area). The analysis a specific water distribution system in South-West France led us to focus on the variability of crop development that results from the variability of sowing dates and from climate variability. A model was developed to estimate the spatio-temporal distribution of sowing dates. It requires various sources of information, from expertise to a deterministic model. The application of the model to provide better decisions is still being tested.
机译：水管理是各种地理和政治层面决策者的关键点。现有的决策支持系统（DSS）结合了物理因素（土壤，气候），以简单的土壤水平模型和非常简单的参数化确定作物水需求（Trouvat，1997; Mailhol，1992）。虽然对农业实践的农民选择强烈决定灌溉需求，但这些后者在现有的DSS中并没有真正考虑。我们在这里启动与农业实践DSS合并的工作（包括四种时空变异，必然存在于广泛区域）。法国西南法定的分析指定的水分配系统导致我们专注于作物发展的可变性，从而产生播种日期和气候变异性的变化。开发了一种模型来估计播种日期的时空分布。它需要各种信息来源，从专业知识到确定性模型。模型的应用仍在进行更好的决策。

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