Literature DB >> 33669684

Effect of Ridge Height, Row Grade, and Field Slope on Nutrient Losses in Runoff in Contour Ridge Systems under Seepage with Rainfall Condition.

Juan An1, Jibiao Geng1, Huiling Yang2, Hongli Song1, Bin Wang3.   

Abstract

Seepage plays a key role in nutrient loss and easily occurs in widely-used contour ridge systems due to the ponding process. However, the characteristics of nutrient loss and its influential factors under seepage with rainfall condition in contour ridge systems are still unclear. In this study, 23 seepage and rainfall simulation experiments are arranged in an orthogonal rotatable central composite design to investigate the role of ridge height, row grade, and field slope on n class="Chemical">Nitrate (n class="Chemical">NO3--N) and Orthophosphate (PO4+3-P) losses resulting from seepage in contour ridge systems. In total, three types of NO3--N and PO4+3-P loss were observed according to erosion processes of inter-rill-headward, inter-rill-headward-contour failure, and inter-rill-headward-contour failure-rill. Our results demonstrated that second-order polynomial regression models were obtained to predict NO3--N and PO4+3-P loss with the independent variables of ridge height, row grade, and field slope. Ridge height was the most important factor for nutrient loss, with a significantly positive effect and the greatest contribution (52.35-53.47%). The secondary factor of row grade exerted a significant and negative effect, and was with a contribution of 19.86-24.11% to nutrient loss. The interaction between ridge height and row grade revealed a significantly negative effect on NO3--N loss, whereas interactions among the three factors did not significantly affect PO4+3-P loss. Field slope only significantly affected NO3--N loss. The optimal design of a contour ridge system to control nutrient loss was obtained at ridge height of 8 cm, row grade of 2°, and field slope of 6.5°. This study provides a method to assess and model nutrient loss, and improves guidance to implement contour ridge systems in terms of nutrient loss control.

Entities:  

Keywords:  nutrient loss; rainfall simulation; ridge height; row grade; seepage

Year:  2021        PMID: 33669684      PMCID: PMC7923169          DOI: 10.3390/ijerph18042022

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  6 in total

Review 1.  Statistical designs and response surface techniques for the optimization of chromatographic systems.

Authors:  Sergio Luis Costa Ferreira; Roy Edward Bruns; Erik Galvão Paranhos da Silva; Walter Nei Lopes Dos Santos; Cristina Maria Quintella; Jorge Mauricio David; Jailson Bittencourt de Andrade; Marcia Cristina Breitkreitz; Isabel Cristina Sales Fontes Jardim; Benicio Barros Neto
Journal:  J Chromatogr A       Date:  2007-03-18       Impact factor: 4.759

Review 2.  The way forward: Can connectivity be useful to design better measuring and modelling schemes for water and sediment dynamics?

Authors:  Saskia Keesstra; Joao Pedro Nunes; Patricia Saco; Tony Parsons; Ronald Poeppl; Rens Masselink; Artemi Cerdà
Journal:  Sci Total Environ       Date:  2018-07-23       Impact factor: 7.963

3.  Contribution of Overland and Tile Flow to Runoff and Nutrient Losses from Vertisols in Manitoba, Canada.

Authors:  Vivekananthan Kokulan; M L Macrae; D A Lobb; G A Ali
Journal:  J Environ Qual       Date:  2019-07       Impact factor: 2.751

4.  Effects of near-surface hydraulic gradients on nitrate and phosphorus losses in surface runoff.

Authors:  Fen-Li Zheng; Chi-Hua Huang; L Darrell Norton
Journal:  J Environ Qual       Date:  2004 Nov-Dec       Impact factor: 2.751

Review 5.  Current status of agricultural and rural non-point source Pollution assessment in China.

Authors:  Edwin D Ongley; Zhang Xiaolan; Yu Tao
Journal:  Environ Pollut       Date:  2009-11-20       Impact factor: 8.071

6.  Agricultural phosphorus flow and its environmental impacts in China.

Authors:  M Chen; J Chen; F Sun
Journal:  Sci Total Environ       Date:  2008-07-22       Impact factor: 7.963

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.