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{ "item_title" : "Multivariate Statistical Models for Predicting Sediment Yields from Southern California Watersheds", "item_author" : [" U. S. Department of the Interior "], "item_description" : "Debris-retention basins in Southern California are frequently used to protect communities and infrastructure from the hazards of flooding and debris flow. Empirical models that predict sediment yields are used to determine the size of the basins. Such models have been developed using analyses of records of the amount of material removed from debris retention basins, associated rainfall amounts, measures of watershed characteristics, and wildfire extent and history. In this study we used multiple linear regression methods to develop two updated empirical models to predict sediment yields for watersheds located in Southern California.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/49/537/185/1495371859_b.jpg", "price_data" : { "retail_price" : "12.99", "online_price" : "12.99", "our_price" : "12.99", "club_price" : "12.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Multivariate Statistical Models for Predicting Sediment Yields from Southern California Watersheds|U. S. Department of the Interior

Multivariate Statistical Models for Predicting Sediment Yields from Southern California Watersheds

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Overview

Debris-retention basins in Southern California are frequently used to protect communities and infrastructure from the hazards of flooding and debris flow. Empirical models that predict sediment yields are used to determine the size of the basins. Such models have been developed using analyses of records of the amount of material removed from debris retention basins, associated rainfall amounts, measures of watershed characteristics, and wildfire extent and history. In this study we used multiple linear regression methods to develop two updated empirical models to predict sediment yields for watersheds located in Southern California.

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Details

  • ISBN-13: 9781495371851
  • ISBN-10: 1495371859
  • Publisher: Createspace Independent Publishing Platform
  • Publish Date: January 2014
  • Dimensions: 11 x 8.5 x 0.1 inches
  • Shipping Weight: 0.31 pounds
  • Page Count: 50

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