Groundwater vulnerability assessment: from overlay methods to statistical methods in the Lombardy Plain area

Stevenazzi, Stefania; Masetti, Marco; Beretta, Giovanni Pietro

doi:10.7343/as-2017-276

Cited by 15 publications

(11 citation statements)

References 27 publications

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“…GVA was carried out at different scales from local to regional and national levels (Howden et al 2012). Over the years, numerous GVA mappings have been performed at regional and national scale in many developed and developing countries of the world (Stevenazzi et al 2017;Liang et al 2016;Diodato et al 2013;Yin et al 2013;Huan et al 2012;Alwathaf et al 2011;Awawdeh et al 2010;Saidi et al 2010;Baalousha 2006).…”

Section: Groundwater Vulnerability Assessment Conceptmentioning

confidence: 99%

A review of groundwater vulnerability assessment in Kenya

Rendilicha

2018

AS-ITJGW

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Groundwater represents 95% of the world’s unfrozen freshwater. The use of groundwater has significantly increased over the past 50 years and is expected to rise in future due to its high reliability during drought seasons, good quality, generally modest development costs and continuous depletion of surface water. Groundwater pollution is becoming a major threat to fresh groundwater availability and sustainability. The deteriorating groundwater quality and increasing contamination poses detrimental risk to human health and ecosystem in many ways, thereby necessitating the need to study the groundwater vulnerability assessment as a preventive strategy to protect the groundwater from surface pollution. The concept of groundwater vulnerability assessment is dated back in 1970s and applied in many developed countries as an environmental tool used for proper land use planning and decision making without jeopardizing groundwater quality. This paper is a detail review of available literature on the study of groundwater vulnerability assessment in Kenya. The paper revealed that, the vulnerability assessment concept has not been applied as a mechanism to prevent groundwater pollution, hence rarely used in guiding land use planning in Kenya. This review brings to limelight the importance of groundwater vulnerability assessment in management and protection of groundwater resources in Kenya.*Corresponding author; Email:guyesa2016@gmail.com Mobile: 0710953283.1. Soil, Water and Environmental Engineering Department Jomo Kenyatta University of Agriculture and Technology, Kenya

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Section: Groundwater Vulnerability Assessment Conceptmentioning

confidence: 99%

A review of groundwater vulnerability assessment in Kenya

Rendilicha

2018

AS-ITJGW

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“…In the Bagnoli area, the determination of polluting sources is particularly challenging due to the cohabitation between natural processes and anthropic activities, which assesses sources apportionment more difficult. Moreover, some contaminations are nowadays almost ubiquitous (e.g., PAHs contamination is present in urban areas [14], rural areas [15], and coastal areas [5]).…”

Section: Introductionmentioning

confidence: 99%

“…Some studies report the advantages of using multivariate statistical analysis [20][21][22][23][24][25][26][27] to interpret the contaminant distributions and the pollutants patterns. For the marine environment, some studies use principal component analysis (PCA) [7,15,[28][29][30] and bivariate correlation analysis (Pearson coefficient) [31,32], nonparametric multivariate multiple regression analyses [33,34], canonical analysis of principal coordinates [33], multivariate linkage tree analysis [34] and randomized analysis of variance (PERMANOVA) [8,33,34] to investigate the co-occurrence of a suite of pollutants in sediments and to assess the related response on the biological assemblages that inhabit the seabed. Some correlation analyses were carried out between pollutant concentrations and sediment granulometry [31].…”

Section: Introductionmentioning

confidence: 99%

Source Apportionment Assessment of Marine Sediment Contamination in a Post-Industrial Area (Bagnoli, Naples)

Giglioli

Colombo

Contestabile

et al. 2020

Water

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The area of Bagnoli (Gulf of Naples, central Tyrrhenian Sea) has been heavily exposed to pollution for over a century due to the presence of industrial sites along its coastline. The aim of this study is to analyze contaminant concentrations (i.e., heavy metals and hydrocarbons) in seabed sediments through a statistical multivariate approach. Multivariate methods permit us to describe the pollution dynamics affecting the area and distinguish between anthropogenic and natural pollution sources. Additionally, the association between contamination patterns and the wave climate characteristics of the gulf (i.e., wave period, direction, height, power, and energy) is investigated. The study confirms that the main contamination source in the Bagnoli bay is anthropogenic activities (i.e., former steel plant and sewage discharges) for the majority of investigated pollutants. It also provides evidence, however, for the potential co-existence of multiple anthropogenic and geogenic sources of arsenic and other metals that may be originating also from the water-rock interaction and submarine volcanic emissions in the Phlegraean area.

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“…Several approaches were developed to evaluate groundwater vulnerability [1,2]. The most common among them is the DRASTIC Method, an overlay and index method frequently adopted in many studies.…”

Section: Introductionmentioning

confidence: 99%

Self-Organizing Map With Nguyen-Widrow Initialization Algorithm for Groundwater Vulnerability Assessment

Linan¹,

Gerardo²,

Medina³

2020

IJC

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Assessment of groundwater vulnerability to contamination plays a vital role in the utilization and protection of groundwater resource. In this study, a vulnerability map for Boracay Island, Philippines was developed using a modified self-organizing map algorithm to determine groundwater vulnerability in light of massive tourism developments in the island. Self-organizing map using the Nguyen-Widrow initialization algorithm was used to cluster DRASTIC data which were pre-processed using data cleaning normalization schemes. The vulnerability map developed showed that groundwater resource in the island is susceptible to contamination as confirmed by groundwater quality analysis. The result of the study demonstrates the effectiveness of the improved SOM algorithm as a tool for assessment of groundwater vulnerability and is comparable with the traditional DRASTIC method. The developed methodology allows grouping of datasets into clusters that represent the level of vulnerability to contamination of the groundwater. Further, this approach can be applied to other islands to ensure the balance between tourism developments and ecological integrity of the scarce groundwater resource.

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Groundwater vulnerability assessment: from overlay methods to statistical methods in the Lombardy Plain area

Cited by 15 publications

References 27 publications

A review of groundwater vulnerability assessment in Kenya

A review of groundwater vulnerability assessment in Kenya

Source Apportionment Assessment of Marine Sediment Contamination in a Post-Industrial Area (Bagnoli, Naples)

Self-Organizing Map With Nguyen-Widrow Initialization Algorithm for Groundwater Vulnerability Assessment

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