Using Bayesian hierarchical models to better understand nitrate sources and sinks in agricultural watersheds-Reference-Cited by-同舟云学术

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Using Bayesian hierarchical models to better understand nitrate sources and sinks in agricultural watersheds

Published:2016-11 Issue: Volume:105 Page:527-539
ISSN:0043-1354
Container-title:Water Research
language:en
Short-container-title:Water Research

Author:

Xia Yongqiu^ORCID,Weller Donald E.^ORCID,Williams Meghan N.,Jordan Thomas E.,Yan Xiaoyuan

Funder

Charles County, Maryland, USA

U. S. National Science Foundation

National Natural Science Foundation of China

Young Talents in State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science

China Scholarship Council

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Water Science and Technology,Ecological Modeling,Environmental Engineering,Civil and Structural Engineering

Reference64 articles.

1. An integrated hydrologic Bayesian multimodel combination framework: confronting input, parameter, and model structural uncertainty in hydrologic prediction;Ajami;Water Resour. Res.,2007

2. Comment on “in-stream nitrogen attenuation: model-aggregation effects and implications for coastal nitrogen impacts”;Alexander;Environ. Sci. Technol.,2006

3. Addressing equifinality and uncertainty in eutrophication models;Arhonditsis;Water Resour. Res.,2008

4. Improved methods for quantifying potential nutrient interception by riparian buffers;Baker;Landsc. Ecol.,2006

5. Comparison of automated watershed delineations;Baker;Photogrammetric Eng. Remote Sens.,2006

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