Groundwater characterization from an ecological and human perspective: an interdisciplinary approach in the Functional Urban Area of Parma, Italy

Zanini, A.; Petrella, Emma; Sanangelantoni, Anna Maria; Angelo, Letizia; Ventosi, Beatrice; Viani, Lorenzo; Rizzo, Pietro; Remelli, Sara; Bartoli, Marco; Bolpagni, Rossano; Chelli, Alessandro; Feo, Alessandra; Francese, Roberto; Iacumin, Paola; Menta, Cristina; Racchetti, Erica; Selmo, E.; Tanda, Maria Giovanna; Ghirardi, Marco; Boggio, Pietro; Pappalardo, Francesco; Nardo, Maria Teresa De; Segadelli, Stefano; Celico, Fulvio

doi:10.1007/s12210-018-0748-x

Cited by 23 publications

(22 citation statements)

References 55 publications

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“…The isotopes, and in particular the analysis of the stable isotopes 18 O and 2 H, allow identifying the origins of groundwater, and their use has long been consolidated in hydrogeological studies, e.g., [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Coupled Microbiological–Isotopic Approach for Studying Hydrodynamics in Deep Reservoirs: The Case of the Val d’Agri Oilfield (Southern Italy)

Rizzo

Bucci

Sanangelantoni

et al. 2020

Water

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The studies upstream of the petroleum industry include oil and gas geological exploration and are usually focused on geological, structural, geophysical, and modeling techniques. In this research, the application of a coupled microbiological–isotopic approach was explored to assess its potential as an adequate characterization and monitoring tool of geofluids in oilfield areas, in order to expand and refine the information acquired through more consolidated practices. The test site was selected within the Val d’Agri oilfield, where some natural hydrocarbon springs have been documented since the 19th century in the Tramutola area. Close to these springs, several tens of exploration and production wells were drilled in the first half of the 20th century. The results demonstrated the effectiveness of the proposed approach for the analysis of fluid dynamics in complex systems, such as oilfield areas, and highlighted the capacity of microbial communities to “behave” as “bio-thermometers”, that is, as indicators of the different temperatures in various subsurface compartments.

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Section: Introductionmentioning

confidence: 99%

Coupled Microbiological–Isotopic Approach for Studying Hydrodynamics in Deep Reservoirs: The Case of the Val d’Agri Oilfield (Southern Italy)

Rizzo

Bucci

Sanangelantoni

et al. 2020

Water

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“…Irrigation and industrial production are depending on the groundwater supply (Ndatuwong et al 2014;Takase et al 2019;Luker et al 2019). The regime of groundwater resources is difficult for researchers, planners and decision-makers in massive population and water shortage countries with surface and groundwater quality are affected by climate change (Al-Bakri et al 2013;Zanini et al 2019). In many regions, the groundwater level decreases, and the unavailability of freshwater to agriculture and irrigation uses.…”

Section: Introductionmentioning

confidence: 99%

Delineation of groundwater potential zones for sustainable development and planning using analytical hierarchy process (AHP), and MIF techniques

et al. 2021

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Groundwater plays a vital role in the sustainable development of agriculture, society and economy, and it's demand is increasing due to low rainfall, especially in arid and semiarid regions. In this context, delineation of groundwater potential zones is essential for meeting the demand of different sectors. In this research, the integrated approach consisting of analytical hierarchy process (AHP), multiple influence factors (MIF) and receiver operating characteristics (ROC) was applied. The demarcation of groundwater potential zones is based on thematic maps, namely Land Use/Land Cover (LULC), Digital Elevation Model (DEM), hillshade, soil texture, slope, groundwater depth, geomorphology, Normalized Difference Vegetation Index (NDVI), and flow direction and accumulation. The pairwise comparison matrix has been created, and weights are assigned to each thematic layer. The comparative score to every factor was calculated from the overall weight of two major and minor influences. Groundwater potential zones were classified into five classes, namely very poor, poor, moderate, good and very good, which cover an area as follows: 3.33 km2, 785.84 km2, 1147.47 km2, 595.82 km2 and 302.65 km2, respectively, based on AHP method. However, the MIF groundwater potential zones map was classified into five classes: very poor, poor, moderate, good and very good areas covered 3.049 km2, 567.42 km2, 1124.50 km2 868.86 km2 and 266.67 km2, respectively. The results of MIF and AHP techniques were validated using receiver operating characteristics (ROC). The result of this research would be helpful to prepare the sustainable groundwater planning map and policy. The proposed framework has admitted to test and could be implemented in different in various regions around the world to maintain the sustainable practices.

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“…During non-monsoon seasons, peasants rely on groundwater for cultivation [4,5]. According to the Central Groundwater Board (CGWB, 2014), 89% of overall groundwater is harvested for irrigation, and dependence has risen unexpectedly in the urban sector [6][7][8]. India's yearly renewable groundwater potential is estimated to be about 433 billion cubic metres (BCM), with 399 BCM of water available according to recent estimates [9,10], but the demand is several times higher than the supply.…”

Section: Introductionmentioning

confidence: 99%

A Novel Hybrid Model for Developing Groundwater Potentiality Model Using High Resolution Digital Elevation Model (DEM) Derived Factors

Mallick

Talukdar

Kahla

et al. 2021

Water

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The present work aims to build a unique hybrid model by combining six fuzzy operator feature selection-based techniques with logistic regression (LR) for producing groundwater potential models (GPMs) utilising high resolution DEM-derived parameters in Saudi Arabia’s Bisha area. The current work focuses exclusively on the influence of DEM-derived parameters on GPMs modelling, without considering other variables. AND, OR, GAMMA 0.75, GAMMA 0.8, GAMMA 0.85, and GAMMA 0.9 are six hybrid models based on fuzzy feature selection. The GPMs were validated by using empirical and binormal receiver operating characteristic curves (ROC). An RF-based sensitivity analysis was performed in order to examine the influence of GPM settings. Six hybrid algorithms and one unique hybrid model have predicted 1835–2149 km2 as very high and 3235–4585 km2 as high groundwater potential regions. The AND model (ROCe-AUC: 0.81; ROCb-AUC: 0.804) outperformed the other models based on ROC’s area under curve (AUC). A novel hybrid model was constructed by combining six GPMs (considering as variables) with the LR model. The AUC of ROCe and ROCb revealed that the novel hybrid model outperformed existing fuzzy-based GPMs (ROCe: 0.866; ROCb: 0.892). With DEM-derived parameters, the present work will help to improve the effectiveness of GPMs for developing sustainable groundwater management plans.

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Groundwater characterization from an ecological and human perspective: an interdisciplinary approach in the Functional Urban Area of Parma, Italy

Cited by 23 publications

References 55 publications

Coupled Microbiological–Isotopic Approach for Studying Hydrodynamics in Deep Reservoirs: The Case of the Val d’Agri Oilfield (Southern Italy)

Coupled Microbiological–Isotopic Approach for Studying Hydrodynamics in Deep Reservoirs: The Case of the Val d’Agri Oilfield (Southern Italy)

Delineation of groundwater potential zones for sustainable development and planning using analytical hierarchy process (AHP), and MIF techniques

A Novel Hybrid Model for Developing Groundwater Potentiality Model Using High Resolution Digital Elevation Model (DEM) Derived Factors

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