A Study on Location-Based Priority of Soil and Groundwater Pollution Remediation

Abstract

Abstract:Under the circumstances of limited government funds, the future pollution remediation policies and practical implementation may need contemplation from the perspective of maximized efficacy, in order to pursue the most effective resource allocation. In fact, different pollution sources and types affect the value of surrounding properties differently in significance and scope. Therefore, benefits from the remediation may vary depending on the polluted locations. Currently, however, decision-making on the location-based priority of pollution remediation still seems to be in need of a clear index system to evaluate the post-remediation benefits. Therefore, this article discusses the use of the fuzzy Delphi method to determine factors of the location-based priority of soil and groundwater pollution remediation and an analytic network process to determine the weights of each factor. The empirical results show that the top 3 priority indicators are resident population, land value and natural resources. Hopefully, this finding can be used in future decision-making on the priority of pollution remediation to maximize the effect of limited funds.

Analytic network process in petroleum hydrocarbon decontamination management in Nigeria

“…Thus, the goal constituted one cluster with node G while the remediation alternatives (RA) (that is, the chosen remediation methods) made up another cluster with four nodes, namely; landfarming (LDF), field biopiles (FBS), thermal desorption (TDU), and phytoremediation (PHY) as shown in Figure 2. From a number of open access literatures on bioremediation we were able to access (e.g., Linkov et al, 2005;Oduolisaeme, 2012;Frutos et al, 2012;Smith et al, 2015;Li et al, 2016;Azubuike et al, 2016), the remaining four clusters (selection criteria)health and safety (HS), site-specific characteristics (SC), regulatory requirements (RR), and technical feasibility (TF)and their sub-criteria (or elements) shown in Figure 2 were considered. As can be seen in Figure 2, RA was taken as the dependent variable while the independent variables were HS, SC, RR, and TF as well as their sub-criteria.…”

“…Despite the widespread application of ANP in other fields, only a limited number of studies can be found in the open access literature on the application of ANP in the evaluation of petroleum contaminated site remedial countermeasures (Promentilla et al, 2006;Yang et al, 2010;Banar et al, 2015;Li et al, 2016). In Nigeria, there is no method currently adopted to tackle the challenge of petroleum contaminated site management.…”