About Us | Help Videos | Contact Us | Subscriptions
 

Abstract

 

This article in JEQ

  1. Vol. 25 No. 3, p. 475-490
     
    Received: Apr 12, 1996


    * Corresponding author(s): keith@pangea.stanford.edu
 View
 Download
 Alerts
 Permissions
Request Permissions
 Share

doi:10.2134/jeq1996.00472425002500030013x

Uncertainty of Groundwater Vulnerability Assessments for Agricultural Regions in Hawaii: Review

  1. Keith Loague *,
  2. R. L. Bernknopf,
  3. R. E. Green and
  4. T. W. Giambelluca
  1. Dep. of Geological and Environmental Sciences, Stanford Univ., Stanford, CA 94305;
    U.S. Geological Survey, Office of the Chief Geologist, 345 Middlefield Road, Menlo Park, CA 94025;
    Dep. of Agronomy and Soil Science, Univ. of Hawaii, Honolulu, HI 96822;
    Dep. of Geography, Univ. of Hawaii, Honolulu, HI 96822.

Abstract

Abstract

There are important challenges associated with assessing potential groundwater vulnerability hazards that may result from regional scale applications of agrochemicals. The increasing availability of Geographic Information System (GIS) software to those involved in assisting with landuse decisions has resulted in the widespread production of multicolored risk management maps for many environmentally sensitive issues. Soil-based GIS's have recently been coupled to various solute-leaching models to make near-surface groundwater vulnerability assessments for guidance in pesticide regulation in several states. In general, these assessments rest on soil, climatic, and chemical data that are extremely sparse and contain considerable uncertainty. It is also important to acknowledge the uncertainty associated with the transport/fate processes that are not accounted for by the modeling approach used to make the assessment. In this paper, we review the results from a series of papers that have focused on characterization of uncertainty in pesticide mobility estimates, using the attenuation and retardation indices (AF and RF), for the Pearl Harbor Basin on the Hawaiian island of Oahu. Relative to data error uncertainties, we discuss the impacts of: (i) soil, climatic, and chemical data base uncertainties, (ii) reductions in data base uncertainties, (iii) extrapolation of soil data base information based on soil taxonomy and soil survey, and (iv) importing information from outside the region of interest. Relative to model error uncertainties, we compare pesticide leaching estimates from the simple AF and RF mobility indices with simulations from the EPA's Pesticide Root Zone Model (PRZM) and field observations. Finally, we outline a Regional Integrated Risk Assessment approach for characterizing regional scale groundwater vulnerability for near-surface nonpoint sources.

“Hey farmer farmer put away that DDT” Joni Mitchell, “Big Yellow Taxi”

  Please view the pdf by using the Full Text (PDF) link under 'View' to the left.

Copyright © .