[An object-oriented intelligent engineering design approach for lake pollution control]

Area of Science:

• Environmental Engineering
• Water Quality Management
• Intelligent Systems

Context:

• Traditional lake pollution control engineering techniques face limitations in effectiveness and efficiency.
• Existing methods often lack a systematic approach for complex lake ecosystems.
• There is a need for advanced methodologies to address escalating lake pollution challenges.

Purpose:

• To introduce and evaluate an object-oriented intelligent design (OOID) approach for lake pollution control.
• To compare the efficacy of OOID with traditional engineering techniques.
• To analyze the impact of OOID on algae control and overall water quality improvement.

Summary:

• The study proposes an OOID approach, emphasizing object perspective, cause-and-effect, and spatio-temporal optimization for lake pollution management.
• Blue-green algae control was used as a case study, comparing vertical hydrodynamic mixers and pumping algaecide recharge.
• OOID demonstrated superior guidance for engineering design and decision-making over traditional paradigms.
• Mixers are efficient for moderate water quality improvement, while pumps are effective for higher targets but at a greater cost.
• Combining techniques and quantitative scaling significantly impacts project benefits and costs.

Impact:

• OOID provides a novel, intelligent framework for effective lake pollution control and water quality enhancement.
• The findings highlight the limitations of traditional engineering designs in complex lake environments.
• This research offers a more scientific and data-driven approach to managing and restoring lake ecosystems.