Research addressing Gulf hypoxia has failed to account for agricultural drainage, the major pathway of nitrate loads in Upper Midwest states. Focusing on two Minnesota watersheds, simulation results were combined with a constrained-optimization model to evaluate the cost-effectiveness of...

Adequate knowledge on the movement of nitrate-nitrogen (NO3-N) under different subsurface (tile) drain configurations and management practices in the U.S. Midwest is essential for developing remedial measures for reducing hypoxic conditions in the Gulf of Mexico. In this study, DRAINMOD-NII, a...

Recently, the Soil and Water Assessment Tool (SWAT) was revised to improve the partitioning of runoff and tile drainage in poorly drained soils by modifying the algorithm that computes the soil moisture retention parameter. In this study, the Revised SWAT model was used to evaluate the...

Adequate knowledge on the movement of nutrients under various agricultural practices is essential for developing remedial measures to reduce nonpoint source pollution. Mathematical models, after extensive calibration and validation, are useful to derive such knowledge and to identify...

In this study, the ADAPT (Agricultural Drainage and Pesticide Transport) model was calibrated and validated for monthly flow and nitrate-N losses, for the 2000-2004 period, from two minor agricultural watersheds in Seven Mile Creek (SMC-1 and SMC-2) in south-central Minnesota. First, the model...

This paper presents the only study analyzing the decision to purchase wind coverage for individuals whose standard homeowner’s policy excludes wind, and one of very few analyses of the decision to undertake wind mitigation measures. Because these two decisions are closely related, a...

A nationwide survey was conducted to estimate welfare associated with large-scale wetland restoration in coastal Louisiana. Binary- and multinomial-choice survey instruments were administered via Knowledge Networks, using the latter to estimate willingness to pay (WTP) for increments in three...