Evidence map›Paper›PMID 25163562›Full record

ArticleEnvironmental science and pollution research international2015

Assessment of groundwater vulnerability to anthropogenic pollution and seawater intrusion in a small tropical island using index-based methods.

Nura Umar Kura, Mohammad Firuz Ramli, Shaharin Ibrahim, Wan Nor Azmin Sulaiman, Ahmad Zaharin Aris, Adamu Idris Tanko, Muhammad Amar Zaudi

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Article in Environmental science and pollution research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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8citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
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  3. Article
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  5. Article
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  7. Article
  8. An overview of groundwater chemistry studies in Malaysia.Environmental science and pollution research international · 2018
    Article
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Nura Umar KuraFaculty of Environmental Studies, Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia, nuraumar@gmail.com.
Mohammad Firuz Ramli
Shaharin Ibrahim
Wan Nor Azmin Sulaiman
Ahmad Zaharin Aris
Adamu Idris Tanko
Muhammad Amar Zaudi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, the DRASTIC and GALDIT models were employed to determine the groundwater vulnerability to contamination from anthropogenic activities and seawater intrusion in Kapas Island. In addition, the work also utilized sensitivity analysis to evaluate the influence of each individual parameter used in developing the final models. Based on these effects and variation indices of the said parameters, new effective weights were determined and were used to create modified DRASTIC and GALDIT models. The final DRASTIC model classified the island into five vulnerability classes: no risk (110-140), low (140-160), moderate (160-180), high (180-200), and very high (>200), covering 4, 26, 59, 4, and 7 % of the island, respectively. Likewise, for seawater intrusion, the modified GALDIT model delineates the island into four vulnerability classes: very low (<90), low (90-110), moderate (110-130), and high (>130) covering 39, 33, 18, and 9 % of the island, respectively. Both models show that the areas that are likely to be affected by anthropogenic pollution and seawater intrusion are within the alluvial deposit at the western part of the island. Pearson correlation was used to verify the reliability of the two models in predicting their respective contaminants. The correlation matrix showed a good relationship between DRASTIC model and nitrate (r = 0.58). In a similar development, the correlation also reveals a very strong negative relationship between GALDIT model and seawater contaminant indicator (resistivity Ωm) values (r = -0.86) suggesting that the model predicts more than 86 % of seawater intrusion. In order to facilitate management strategy, suitable areas for artificial recharge were identified through modeling. The result suggested some areas within the alluvial deposit at the western part of the island as suitable for artificial recharge. This work can serve as a guide for a full vulnerability assessment to anthropogenic pollution and seawater intrusion in small islands and will help policy maker and manager with understanding needed to ensure sustainability of the island's aquifer.

Indexed as

IslandsModels, TheoreticalEnvironmental MonitoringGroundwaterHumansNitratesReproducibility of ResultsSeawaterTropical ClimateWater Pollutants, ChemicalNitratesWater Pollutants, Chemical

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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.