Literature DB >> 20202739

Assessment of the predictive quality of simple indicator approaches for nitrate leaching from agricultural fields.

Uwe Buczko1, R O Kuchenbuch, B Lennartz.   

Abstract

Diffuse N losses from agriculture are a major cause of excessive nitrate concentrations in surface and groundwaters. Leaching through the soil is the main pathway of nitrate loss. For environmental management, an anticipatory assessment and monitoring of nitrate leaching risk by indicator (index) approaches is increasingly being used. Although complex Nitrogen Loss Indicator (NLI) approaches may provide more information, relatively simple NLIs may have advantages in many practical situations, for instance, when data availability is restricted. In this study, we tested four simple NLIs to assess their predictive properties: 1. N balance (Nbal); 2. Exchange frequency of soil solution (EF); 3. Potential nitrate concentration in leachate (PNCL); 4. A composite NLI (balance exchange frequency product, BEP). Field data of nitrate leaching from two sites in northeast Germany along with published data from several sites in Germany, Scotland and the USA were utilized. Nbal proved to be a relatively poor indicator of Nloss for the time frame of one year, whereas its prediction accuracy improved for longterm-averaged data. Correlation between calculated EF and experimental data was high for single-year data, whereas it was lower for longterm-averaged data. PNCL gave no significant correlations with measured data and high deviations. The results for BEP were intermediate between those for Nbal and EF. The results suggest that the use of EF is appropriate for assessing N leaching loss for single-year data and specific sites with comparable N input and management practices, whereas for longterm-averaged data, Nbal is better suited. BEP is an appropriate NLI both for single year and longterm data which accounts for source and transport factors and thus is more flexible than source-based Nbal and transport-based EF. However, such simplified NLIs have limitations: 1. The N cycle is not covered completely; 2. Processes in the vadose zone and the aquifer are neglected, 3. Assessment of management factors is restricted. (c) 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20202739     DOI: 10.1016/j.jenvman.2010.02.007

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  6 in total

1.  Assessment of nitrate leakage and N2O emission from five environmental-friendly agricultural practices using fuzzy logic method and empirical formula.

Authors:  Lihuan Qin; Yan Wang; Yongfeng Wu; Qian Wang; Liangguo Luo
Journal:  Environ Monit Assess       Date:  2015-05-24       Impact factor: 2.513

2.  Multi-angle indicators system of non-point pollution source assessment in rural areas: a case study near Taihu Lake.

Authors:  Lei Huang; Jie Ban; Yu Ting Han; Jie Yang; Jun Bi
Journal:  Environ Manage       Date:  2013-02-28       Impact factor: 3.266

3.  Effects of maize cultivation on nitrogen and phosphorus loadings to drainage channels in Central Chile.

Authors:  Fabio Corradini; Francisco Nájera; Manuel Casanova; Yasna Tapia; Ranvir Singh; Osval do Salazar
Journal:  Environ Monit Assess       Date:  2015-10-22       Impact factor: 2.513

4.  Nitrogen inputs best predict farm field nitrate leaching in the Willamette Valley, Oregon.

Authors:  J E Compton; S L Pearlstein; L Erban; R A Coulombe; B Hatteberg; A Henning; J R Brooks; J E Selker
Journal:  Nutr Cycl Agroecosyst       Date:  2021-05-19       Impact factor: 3.270

5.  Groundwater nitrate contamination: factors and indicators.

Authors:  Katharina Wick; Christine Heumesser; Erwin Schmid
Journal:  J Environ Manage       Date:  2012-08-18       Impact factor: 6.789

6.  Developing water and nitrogen budgets of a wheat-maize rotation system using auto-weighing lysimeters: Effects of blended application of controlled-release and un-coated urea.

Authors:  Wenkui Zheng; Yongshan Wan; Yuncong Li; Zhiguang Liu; Jianqiu Chen; Hongyin Zhou; Yongxiang Gao; Baocheng Chen; Min Zhang
Journal:  Environ Pollut       Date:  2020-03-17       Impact factor: 8.071

  6 in total

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