课题基金 / 基金详情

ITR: DHARMA: Domain-Specific Metaware for Hydrologic Applications

ITR: DHARMA: Domain-Specific Metaware for Hydrologic Applications
ITR:DHARMA:水文应用的特定领域元软件
批准号:
0082667
负责人:
Daniel Andresen
金额:
$49.86万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2000
资助国家:
美国
项目状态:
已结题
起止时间:
2000-09-01 至 2005-02-28

项目摘要

项目成果

Daniel Andresen的其他基金

相似基金

相关文献

中文摘要
翻译
在这个项目中开发的DHARMA特定领域的中间件系统的目的是让水文现场工程师解决水管理问题,在以前不可能的规模,与复杂的特定领域的计算管理系统。DHARMA用于通过互联网提供自动数据采集;从在线,本地和缓存资源的数据融合;中间结果的智能缓存,以允许在未来的仿真周期中重用;和智能调度,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,代表了新的土壤侵蚀预测能力。然而,它是有限的,以目前的计算机技术非常小的流域。将WEPP模型应用于925平方英里的迪凯特湖流域,将带来流域尺度水文模拟的革命性变化。目前,所有的流域尺度水文模型都是基于经验关系。WEPP是唯一一个能够科学地解释土壤、泥沙输运、径流、河道水流、植物生长、分解、融雪、冻融效应和气候条件的模型。通过DHARMA,WEPP是唯一的模型,将提供准确的预测和评估替代流域管理措施对流域水质的影响。
英文摘要
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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
CC* Compute: GP-ARGO: The Great Plains Augmented Regional Gateway to the Open Science Grid
  • 批准号:
    2018766
  • 项目类别:
    Standard Grant
  • 资助金额:
    $37.86万
  • 财政年份:
    2020
  • 负责人:
    Daniel Andresen
  • 依托单位:
CC-IIE Networking Infrastructure: KGEN: Next-generation networking environments for biological and agricultural data-driven research at Kansas State University
  • 批准号:
    1440548
  • 项目类别:
    Standard Grant
  • 资助金额:
    $23.15万
  • 财政年份:
    2014
  • 负责人:
    Daniel Andresen
  • 依托单位:
MRI: Acquisition of an Adaptive Data Cluster for Data-intensive Applications in Science and Engineering
  • 批准号:
    1429316
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2014
  • 负责人:
    Daniel Andresen
  • 依托单位:
CC-NIE Network Infrastructure: KGAP: Bridging th Gap in Network Flexibility and Performance for Genomics and Data-Intensive Research at Kansas State University
  • 批准号:
    1341026
  • 项目类别:
    Standard Grant
  • 资助金额:
    $49.91万
  • 财政年份:
    2013
  • 负责人:
    Daniel Andresen
  • 依托单位:
海外基金