A cleaner production-pollution prevention based framework for construction site induced water pollution

Predictive Methodology for the Quantification of Environmental Aspects in Urban Infrastructures

“…The results of AP predict earthworks and paving activities as the highest polluters, associated with the sub-activities of vegetation suppression and soil compaction as potential risk factors for runoff, erosion, and contamination of surrounding water bodies. This agrees with Belayutham et al [60], who underscored that conventional construction planning to meet time, cost, and quality goals produced negative consequences, such as erosion and sediment. The study of AP indicated solutions to reduce, eliminate, or mitigate this problem in operational planning, and implement temporary contention systems to block the spread of this impact.…”

“…The study of AP indicated solutions to reduce, eliminate, or mitigate this problem in operational planning, and implement temporary contention systems to block the spread of this impact. This corroborates Belayutham et al [60], who recognized the importance of controlling erosion to reduce the risk of water pollution at the construction site.…”

“…• Water pollution (WP) was based on the theories of Belayutham et al [60] and expressed in an index suggested by the authors, denominated water pollution index (WPI), according to Equation 13:…”

Antecedents to environmental supply chain strategies: The role of internal integration and environmental learning

“…In contrast, companies adopting a more reactive environmental response tend to deal with pollution concerns in a post-hoc manner when certain pollution targets have been overstepped and they are required to take action (Buysse and Verbeke, 2003;Munguia et al, 2010). This end-of-pipe pollution control approach is the antithesis to pollution prevention as adopters seek to maintain acceptable levels of pollution and avoid fines or penalties associated with exceeding these levels as opposed to redesigning systems and practices in order to prevent the occurrence of pollution in the first place (Munguia et al, 2010;Belayuthum et al, 2016). Thus, implementation occurs at the end of the process and problems are dealt with using a fire fighting approach (Walley and Whitehead, 1994).…”

Optimal selection of medium or high cost schemes in cleaner production for dyestuff industry based on fuzzy analytic hierarchy process

“…The 13th Five-Year Plan has designed the construction of ecological civilization and Chinese government continues to strengthen the national requirements of environmental protection, which brings forward the higher request of energy-saving and emission-reduction in the dyestuff industries. In recent years, the Action Plan for Water Pollution Prevention and Control [4], released by the State Council, underlines the crackdown on industrial pollution. The document calls for the closure by the end of 2016 of small plants including paper, leather, printing and dyeing, dyestuff, coking, smelting, sulfur and arsenic smelting, refining, electroplating, pesticide and so on, which could make serious pollution to the water environment that fail to meet pollution control standards.…”