ITR: DHARMA: Domain-Specific Metaware for Hydrologic Applications

该项目正在开发的特定于Dharma领域的中间件系统旨在允许水文现场工程师使用复杂的特定于领域的计算管理系统来解决以前不可能达到的规模的水管理问题。Dharma用于提供通过Internet的自动数据获取；来自在线、本地和缓存资源的数据融合；中间结果的智能缓存，以便在未来的模拟周期中重复使用；以及智能调度，以优化元计算系统的执行时间。我们的目标流域模型WEPP是一个基于连续模拟处理的模型，它代表了新的土壤侵蚀预测能力。然而，在目前的计算机技术下，它仅限于非常小的流域。通过将WEPP模型应用于925平方英里的迪凯特湖流域，将在流域尺度上的水文建模方面带来革命性的变化。目前，所有流域尺度的水文模型都是基于经验关系的。WEPP是唯一一个科学地考虑土壤、泥沙输送、径流、渠道流量、植物生长、分解、积雪融化、冻融效应和气候条件的模型。通过DARMA，WEPP是唯一可以提供准确预测和评估替代流域管理做法对流域水质影响的模型。

The DHARMA domain-specific middleware system being developed in this project is intended to allow hydrologic field engineers to address water-management problems, on a scale previously impossible, with sophisticated domain-specific computational management systems. DHARMA is used to provide automatic data acquisition via the Internet; data fusion from online, local, and cached resources; smart caching of intermediate results to allow for reuse in future simulation cycles; and smart scheduling to optimize execution times on metacomputing systems. Our target watershed model, WEPP, is a continuous simulation processed-based model which represents new soil erosion prediction capabilities. However, it is limited to very small watersheds with current computer technology. A revolutionary change in hydrologic modeling on the watershed scale will be brought about by applying the WEPP model to the 925 square miles Lake Decatur watershed. Currently, all watershed scale hydrologic models are based on empirical relationships. WEPP is the only model which scientifically accounts for soils, sediment transport, runoff, channel flow, plant growth, decomposition, snow melt, freeze-thaw effects, and climatic conditions. Through DHARMA, WEPP is the only model which will provide accurate predictions and evaluate the effects of alternative watershed management practices on watershed water quality.