Journal article
On the Compounding of Nitrate Loads and Discharge
Journal of environmental quality, Vol.52(3), pp.706-717
05/2023
DOI: 10.1002/jeq2.20458
PMID: 36753525
Appears in UI Libraries Support Open Access
Abstract
Compound extremes can arise from combinations of multiple drivers, and even non-extreme univariate events can combine to cause large societal and economic impacts. In this study, we model multivariate compound events focusing on the potential interaction of nitrate loads and discharge. We use daily discharge and nitrate loads at seven U.S. Geological Survey sites in the state of Iowa. We apply a two-sided conditional sampling method, which derives two joint probabilities conditioning on discharge and nitrate loads, respectively. Our results show that there is a dependence between discharge and nitrate loads, which we can be described through bivariate modeling and the subsequent estimation of their joint annual exceedance probabilities (AEPs). The magnitude of the joint AEPs to extreme discharge and extreme nitrate loads exhibit different structures across the different sites, highlighting the different role of these two quantities in controlling their compounding. In examining the ranges in design values for a given AEP, we found that the largest variability in highly likely values was generally associated with high agricultural intensity, high hog density and fertilizer expenditures. This article is protected by copyright. All rights reserved.
Details
- Title: Subtitle
- On the Compounding of Nitrate Loads and Discharge
- Creators
- Taereem Kim - University of IowaGabriele Villarini - University of IowaHanbeen Kim - University of IowaRobert Jane - University of Central FloridaThomas Wahl - University of Central Florida
- Resource Type
- Journal article
- Publication Details
- Journal of environmental quality, Vol.52(3), pp.706-717
- DOI
- 10.1002/jeq2.20458
- PMID
- 36753525
- NLM abbreviation
- J Environ Qual
- eISSN
- 1537-2537
- Publisher
- Wiley
- Language
- English
- Electronic publication date
- 02/08/2023
- Date published
- 05/2023
- Academic Unit
- Civil and Environmental Engineering; IIHR--Hydroscience and Engineering
- Record Identifier
- 9984365912202771
Metrics
16 Record Views