Spatial ecological risk assessment for contaminated soil in oiled fields

Abstract

Soil total petroleum hydrocarbon (TPH) pollution in oil fields is a worldwide environmental problem. In particular, the dense distribution of oil wells in low-permeability oil reservoirs has caused regional pollution superposition. We proposed a feasible method for the spatial ecological assessment for soil pollution in oil fields. Typical TPH-contaminated soil in the Shengli oil field was examined according to the classification of oil well properties, including the spatial structure, distribution density, and exploitation history. Soil TPH concentrations of each oil filed site was calculated by Monte Carlo simulation. The risks were assessed according to multiple receptors and risk sources. The results indicated that the average TPH concentration was greater than 2100 mg·kg^-1. The differences of TPH concentrations were mainly correlated to the exploitation period. The soil TPH content demonstrated a spatial cluster pattern according to the Anselin Local Moran's Index (p < 0.01). The risk for wheat and earthworms showed that more than 98% of the study area was under a low risk level. However, high risk accounted for only 0.9% when bacteria was used as a bioindicator, and the composition of different risk levels was similar to that of the ecological risk assessed based on the soil quality index.

Keywords: Bioindicator; Ecological risk; Monte Carlo simulation; Soil quality index; Total petroleum hydrocarbons.