Assessing the Effect of Saltwater Intrusion on Petroleum Hydrocarbons Plumes Via Numerical Modelling

被引:21
|
作者
Mastrocicco, M. [1 ]
Colombani, N. [1 ]
Sbarbati, C. [2 ]
Petitta, M. [2 ]
机构
[1] Univ Ferrara, Dept Earth Sci, I-44100 Ferrara, Italy
[2] Univ Roma La Sapienza, Dept Earth Sci, Rome, Italy
来源
WATER AIR AND SOIL POLLUTION | 2012年 / 223卷 / 07期
关键词
Modelling; Variable density; Seawater intrusion; Hydrocarbons; Multilevel sampling; GROUND-WATER DISCHARGE; MULTICOMPONENT REACTIVE TRANSPORT; ESTUARINE SURFACE-WATER; CONTAMINANT TRANSPORT; SEAWATER INTRUSION; BOUNDARY-CONDITION; COASTAL AQUIFERS; FLOW; SEA; SYSTEM;
D O I
10.1007/s11270-012-1205-6
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A contamination by petroleum hydrocarbons was detected in a sandy aquifer below a petrochemical plant in Southern Italy. The site is located near the coastline and bordered by canals which, together with pumping wells, control submarine groundwater discharge toward the sea and seawater intrusion (SWI) inland. In this study, a three-dimensional flow and transport model was developed using SEAWAT-4.0 to simulate the density-dependent groundwater flow system. Equivalent freshwater heads from 246 piezometers were employed to calibrate the flow simulation, while salinity in 193 piezometers was used to calibrate the conservative transport. A second dissolved species, total petroleum hydrocarbons (TPH), was included in the numerical model to simulate the plumes originating from light non-aqueous-phase liquid. A detailed field investigation was performed in order to determine the fate of dissolved hydrocarbons. Fifteen depth profiles obtained from multilevel samplers (MLS) were used to improve the conceptual model, originally built using a standard monitoring technique with integrated depth sampling (IDS) of salinity and TPH concentrations. The calibrated simulation emphasises that density-dependent flow has a great influence on the migration pattern of the hydrocarbons plume. This study confirms that calibration of density-dependent models in sites affected by SWI can be successfully reached only with MLS data, while standard IDS data can lead to misleading results. Thus, it is recommended to include MLS in the characterization protocols of contaminated sites affected by SWI, in order to properly manage environmental pollution problems of coastal zones.
引用
收藏
页码:4417 / 4427
页数:11
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