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In developing countries, remediation projects are predominantly implemented in areas with imminent risks due to human exposure routes. Projects experience challenges due to funding constraints derived from the history of legacy pollution and informal livelihood occupations in addition to political and economic instability and weak regulatory structures. Remedial efforts therefore often utilize simple, cost-effective methods of excavation and safe storage of polluted media, most often of which is soil contaminated with heavy metals and persistent organic pollutants. Overcoming context-specific challenges require strong stakeholder participation efforts. However, most projects fail to effectively engage multiple stakeholders and suffer from inexperienced facilitation and inaccurately applied engagement methodologies. This literature review critically examines remedial projects in developing countries. Particular attention is given to remedial challenges specific to working in developing countries and current state of the practice of clean-up initiatives. It provides recommendations for enhancing existing remedial efforts by developing robust stakeholder participation efforts throughout the remedial process. 

Accurately predicting bare‐soil evaporation requires the proper characterization of the near‐surface atmospheric conditions. These conditions, dependent on factors such as surface microtopography and wind velocity, vary greatly and therefore require high‐resolution datasets to be fully incorporated into evaporation models. These factors are oftentimes parameterized in models through the aerodynamic resistance (r_a), in which the vapor roughness length (z_0v) and the momentum roughness length (z_0m) are two crucial parameters that describe the transport near the soil‐atmosphere interface. Typically, when evaluating bare‐soil evaporation, these two characteristic lengths are assumed equal, although differences are likely to occur especially in turbulent flows over undulating surfaces. Thus, this study aims to investigate the relationship betweenz_0vandz_0mabove undulating surfaces to ultimately improve accuracy in estimating evaporation rate. To achieve this goal, four uniquely designed wind tunnel—soil tank experiments were conducted considering different wind speeds and undulation spacings. Particle image velocimetry (PIV) was used to measure the velocity field above the undulating surface in high resolution. Using the high‐fidelity data set, the logarithmic ratio ofz_0vtoz_0mis determined and used to estimater_a. Results confirm that these lengths differ significantly, with the logarithmic ratio roughly ranging from −15 to −5 under the conditions tested. PIV‐measured results demonstrate this ratio is closely tied to the mass and momentum transport behaviors influenced by surface undulations. Using the data‐integrated formulation ofr_a, predictions of evaporation rate were prepared for both the laboratory and lysimeter experiments, demonstrating the efficacy of the proposed approach in this study.