A meta-analysis and statistical modelling of nitrates in groundwater at the  African scale

Ouedraogo, Issoufou; Vanclooster, Marnik

doi:https://doi.org/10.5194/hess-20-2353-2016

Articles | Volume 20, issue 6

https://doi.org/10.5194/hess-20-2353-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-20-2353-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 20, issue 6

Research article

|

17 Jun 2016

Research article |

| 17 Jun 2016

A meta-analysis and statistical modelling of nitrates in groundwater at the African scale

Issoufou Ouedraogo and Marnik Vanclooster

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Final revised paper (published on 17 Jun 2016)
Preprint (discussion started on 14 Mar 2016)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review of Ouedraogo and Vanclooster (2016)', Anonymous Referee #1, 26 Apr 2016
- RC2: 'Hess-2016-120 review', Anonymous Referee #2, 29 Apr 2016
- AC1: 'reply to reviewer 1', OUEDRAOGO Issoufou, 04 May 2016
AC2: 'reply to reviewer 2', OUEDRAOGO Issoufou, 04 May 2016
AC3: 'proposed revised manuscript', OUEDRAOGO Issoufou, 04 May 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to minor revisions (Editor review) (12 May 2016) by Thomas Kjeldsen

AR by Issoufou OUEDRAOGO on behalf of the Authors (20 May 2016) Author's response Manuscript

ED: Publish as is (25 May 2016) by Thomas Kjeldsen

AR by Issoufou OUEDRAOGO on behalf of the Authors (27 May 2016)

Short summary

In this paper, we present a meta-analysis of nitrate contamination in groundwater at the pan-African scale. A nitrate data set is constructed based on publications in the web of sciences, and combined with high-resolution generic spatial environmental attributes. A statistical model explains 65 % of the variation of nitrate contamination in groundwater in terms of generic spatial attributes. Nitrate contamination of groundwater at the pan-African scale is mainly affected by population density.