Keywords: oil pollution, soil contamination, biodegradation rate, adaptive management, valuation, cost–benefit analysis, waste management, crude oil, agricultural soil, agriculture, compensation payable, Nigeria, environmental pollution, farmers, farmland pollution, bacteria, mathematical framework, decision support systems, DSS, oil spill impact
Impact–based cost–benefit analysis model for management of crude oil contaminated agricultural soil
Evaluating the compensation payable to farmers whose farms/farmlands have been rendered unproductive due to oil spill requires adequate scientific research and improved decision–making. This work proposes a bacterial–based mathematical framework as a decision–support system for evaluating crude oil spill impact on agricultural soil. The rate of 'in situ' biodegradation of the crude oil predicts the half–life of the spilled crude oil in the soil ecosystem while the inherent toxicity of the spilled oil provided the impact value (E), which was integrated into a version of Cost–Benefit Analysis (CBA) model referred to as Impact–Based Cost–Benefit Analysis (IBCBA) that can be used for computing the adequate compensation payable. Scientific research initiatives that may engender integrated management of crude oil–contaminated agricultural soil are highlighted.