首页> 美国政府科技报告 >Landscape-Based Models That Predict July Thermal Characteristics of Lower211 Michigan Rivers
【24h】

Landscape-Based Models That Predict July Thermal Characteristics of Lower211 Michigan Rivers

机译:基于景观的模型预测密歇根州下游河流的7月热特征

获取原文

摘要

In this paper, the authors present 2 models that can be used to estimate July211u001ethermal characteristics using landscape attributes for streams in the Lower 211u001ePeninsula of Michigan. The authors used mutliple linear regression to construct 211u001emodels that predict July average weekly maximum and minimum stream temperatures

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号