Fuzzy vulnerability mapping of urban groundwater systems to nitrate contamination

Asadi, Parisa; Hosseini, Seiyed Mossa; Ataie-Ashtiani, Behzad; Simmons, Craig T.

doi:10.1016/j.envsoft.2017.06.043

Cited by 28 publications

(10 citation statements)

References 30 publications

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“…To overcome to this issue, in this study we applied fuzzy sets theory as a method to deal with uncertainty and vagueness in the definition of the boundaries of the RUI (Asadi et al, 2017;Uusitalo et al, 2015). This approach overcomes the traditional Boolean classification of spatial units, in which a cell is either belonging to RUI or not.…”

Section: Forecasting the Rural Urban Interface: Model Settingmentioning

confidence: 99%

Fuzzy definition of Rural Urban Interface: An application based on land use change scenarios in Portugal

Amato

Tonini

Murgante

et al. 2018

Environmental Modelling & Software

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Section: Forecasting the Rural Urban Interface: Model Settingmentioning

confidence: 99%

Fuzzy definition of Rural Urban Interface: An application based on land use change scenarios in Portugal

Amato

Tonini

Murgante

et al. 2018

Environmental Modelling & Software

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“…Nitrate concentration is commonly used as an indicator of groundwater contamination and is a critical predictor of water quality and anthropogenic pollution (Asadi et al 2017 ). In this study, we evaluated the performance of the applied methods by measuring nitrate concentrations in groundwater samples collected from 24 locations within the study area.…”

Section: Methodsmentioning

confidence: 99%

Enhancing groundwater vulnerability assessment for improved environmental management: addressing a critical environmental concern

Abduljaleel,

Amiri,

Amen

et al. 2024

Environ Sci Pollut Res

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Groundwater serves as a primary water source for various purposes. Therefore, aquifer pollution poses a critical threat to human health and the environment. Identifying the aquifer’s highly vulnerable areas to pollution is necessary to implement appropriate remedial measures, thus ensuring groundwater sustainability. This paper aims to enhance groundwater vulnerability assessment (GWVA) to manage aquifer quality effectively. The study focuses on the El Orjane Aquifer in the Moulouya basin, Morocco, which is facing significant degradation due to olive mill wastewater. Groundwater vulnerability maps (GVMs) were generated using the DRASTIC, Pesticide DRASTIC, SINTACS, and SI methods. To assess the effectiveness of the proposed improvements, 24 piezometers were installed to measure nitrate concentrations, a common indicator of groundwater contamination. This study aimed to enhance GWVA by incorporating new layers, such as land use, and adjusting parameter rates based on a comprehensive sensitivity analysis. The results demonstrate a significant increase in Pearson correlation values (PCV) between the produced GVMs and measured nitrate concentrations. For instance, the PCV for the DRASTIC method improved from 0.42 to 0.75 after adding the land use layer and adjusting parameter rates using the Wilcoxon method. These findings offer valuable insights for accurately assessing groundwater vulnerability in areas with similar hazards and hydrological conditions, particularly in semi-arid and arid regions. They contribute to improving groundwater and environmental management practices, ensuring the long-term sustainability of aquifers.

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“…Degrees of membership (subjective and context-dependent) reflect on objects from the area under consideration a certain order introduced by association with a set of a certain property [64]. Degrees of membership can be determined by a statistical survey method or by an expert method [65,66]. Figures that determine the degree of membership of specific fuzzy sets for a certain area can be trapeziums, triangles, or other geometric figures.…”

Section: New Approach In Planning Processmentioning

confidence: 99%

Identification and Location of a Transitional Zone between an Urban and a Rural Area Using Fuzzy Set Theory, CLC, and HRL Data

2019

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Changes in land use, which accompany the development of towns, generate a transitional zone on the border between areas of urban and rural use, which—due to its complex (unspecified, fuzzy) land use—cannot be identified either as a rural or an urban area. In order to prevent the unplanned development, it should go according to plan, in line with the spatial order principles, making a coherent whole, taking into account all functional, socio-economic, cultural, as well as aesthetic factors and requirements. This paper describes studies and analyses of the fuzzy set theory applicability in studies of land use in areas around towns. The main aim of the study was to present the methodology, which employs fuzzy logic to identify and locate a transitional zone between rural and urban areas. This study dealt with the transitional zone at the junction of the urban and rural area and its parameters, which affect the type of land use. The attributes of the transitional zone were defined based on an analysis of current land use methods in areas under direct urbanisation pressure. The study was conducted in the city of Olsztyn (Poland) and on its outskirts, directly exposed to the impact of the developing city, with an area of 202.4 km2, within an 8-km radius of the city centre. The study determined the impact of individual forms of land use on the development of urban or rural use. The degree of each type of use—urban or rural—allowed for developing a fuzzy town and country model, identifying the urban investment border and its spatial dispersion, as well as identifying and locating the transitional zone between urban and rural areas. Moreover, land cover models based on the Corine land cover (CLC) data as well as high-resolution layers (HRL) impervious and canopy data were developed. The borders of urban investment determined on the basis of the fuzzy set theory assumptions, CLC, and HRL data were also identified and verified.

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Fuzzy vulnerability mapping of urban groundwater systems to nitrate contamination

Cited by 28 publications

References 30 publications

Fuzzy definition of Rural Urban Interface: An application based on land use change scenarios in Portugal

Fuzzy definition of Rural Urban Interface: An application based on land use change scenarios in Portugal

Enhancing groundwater vulnerability assessment for improved environmental management: addressing a critical environmental concern

Identification and Location of a Transitional Zone between an Urban and a Rural Area Using Fuzzy Set Theory, CLC, and HRL Data

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