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Useless Arithmetic: Ten Points to Ponder When Using Mathematical Models in Environmental Decision Making

机译:无用算法:在环境决策中使用数学模型时的十点思考

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摘要

As policy makers and public administrators are acutely aware, mathematical models are , simplified, generalized representations of a process or system, and their use in public administration is ubiquitous across policy domains. Perhaps nowhere, however, has their content, power, and efficacy as aids to decision making been more prevalent or potent than in the domain of environmental and natural resources (ENR) management. The move to quantify earth and biological sciences, the widespread availability of powerful desktop computers, and the dawn of predictive mathematical modeling all arrived simultaneously in the final quarter of the twentieth century.rnIn short order, predictive modeling of the earth's natural processes soon found widespread application (Sarewitz, Pielke, and Byerly 2000). Consider but a few examples of processes in nature that are routinely modeled and from which policy makers are presumed to make better judgments when incorporated in their ENR management decision calculi: the environmental impacts of a proposed project, atmosphere pollutant dispersal, groundwater pollutant dispersal, radionu-clide waste disposal, sea-level change, weather patterns, climate changes, storm behavior, river flooding, fisheries yields, and shoreline retreat.
机译:由于决策者和公共管理者敏锐地意识到,数学模型是流程或系统的简化,通用表示,并且它们在公共管理中的使用在整个策略领域都无处不在。但是,在环境和自然资源(ENR)管理领域中,作为决策辅助手段的内容,功能和功效可能没有哪个地方比现在更普遍或更有效。量化地球和生物科学的举动,功能强大的台式计算机的广泛普及以及预测性数学建模的兴起在二十世纪的最后四分之一同时到来。短期内,对地球自然过程的预测性建模很快就普及了。应用程序(Sarewitz,Pielke和Byerly 2000)。仅考虑一些自然过程的示例,这些过程可以常规建模,并假定决策者在将其纳入ENR管理决策计算时可以做出更好的判断:拟议项目的环境影响,大气污染物扩散,地下水污染物扩散,放射性核素废料处置,海平面变化,天气模式,气候变化,风暴行为,河流洪水,渔业产量和海岸线撤退。

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