Evidence map›Paper›PMID 31873902›Full record

ArticleEnvironmental science and pollution research international2020

Drainage water salinity and quality across nested scales in the Nile Delta of Egypt.

Doaa E El-Agha, François Molle, Edwin Rap, Maha El Bialy, Waleed Abou El-Hassan

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Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Renewable energy and water sustainability: lessons learnt from TUISR19.Environmental science and pollution research international · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Doaa E El-AghaHigher Institute of Engineering and Technology, Kafr El Sheikh, Egypt. doaaezzat777@gmail.com.ORCID http://orcid.org/0000-0003-1747-5478
François MolleInstitute de Recherche pour le développement (IRD), University of Montpellier, Montpellier, France.
Edwin RapIntegrated Water Systems and Governance Department, IHE-Delft, Delft, Netherlands.
Maha El BialyWater Management Research Institute, Kafr El Sheikh, Egypt.
Waleed Abou El-HassanWater Management Research Institute, Kafr El Sheikh, Egypt.

Funding

Australian Centre for International Agricultural Research (ACIAR) under project N. LWR/2011/045 titled
6 · The paper itself

Abstract

Improving water management depends on understanding the functioning of irrigation and drainage systems across different environmental scales. For this purpose, this study in the Nile Delta of Egypt particularly examines the spatial and temporal variation of drainage water salinity from the system to the plot level. A better understanding of this variation across nested scales is crucial to refine the government's drainage reuse strategy and reduce the adverse effects on agricultural productivity, lagoon ecology, and human health. The study investigates the drainage system of the Meet Yazid study area (82,740 ha) located in the upper central part of the Nile Delta. The parameters measured were electrical conductivity (EC), dissolved oxygen (DO), pH, and temperature. Results showed that salinity and quality of drainage water in the Nile Delta vary highly with space and time. The secondary drains exhibited the highest variability of salinity compared with main drains and subsurface drainage collectors because they accumulate salts from deeper soil layers and seepage of saline groundwater at the time of low flow discharge. In secondary drains, the salinity increased up to four times that of drainage water coming from the collectors. Moreover, DO values were most of the time not meeting standards for reuse in irrigation, especially at main drains that collect not only agricultural drainage but also untreated household sewage water.

Indexed as

GroundwaterSalinityEgyptEnvironmental MonitoringHumansSoilWaterWater QualitySoilWaterDrainageEgyptNile DeltaSalinitySpatial and temporal variabilityWater quality

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.