Artificial Intelligence in Wastewater Management

Artificial Intelligence in Wastewater Management

DOI: 10.4018/978-1-6684-6791-6.ch002
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Abstract

This chapter introduces an innovative solution to address sewage pollution by integrating AI-enabled waste management systems. The approach involves segregating sewage into solid and liquid waste streams and applying specialized treatment processes. The main goal is to achieve sustainable sewage treatment, recover valuable resources, and produce distilled water. To ensure optimal performance, an AI system leveraging cutting-edge technologies like IoT, machine learning, and computer vision is employed for real-time monitoring, water quality assessment, and problem resolution. These findings contribute significantly to the advancement of sustainable waste management practices. They effectively reduce soil and water pollution, safeguard groundwater levels, and enhance overall operational efficiency. This technology-driven strategy paves the path for a more eco-friendly and advanced future in waste management.
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2. Research Focus

Inadequate sewage water management practices pose a significant problem worldwide, with approximately 80% of waste water discharged without adequate treatment (UN Water, 2017). In India, the situation is particularly challenging, as an estimated 70% of sewage generated remains untreated, contributing to water pollution and health risks (Central Pollution Control Board, 2019). Insufficient infrastructure, outdated treatment systems, and limited monitoring exacerbate the issue, necessitating urgent action to address the challenges of sewage water management and ensure the protection of water resources and public health.

2.1 Soil Pollution

Hazardous substances like heavy metals, pesticides, and industrial pollutants pose significant threats to soil quality, plant growth, and biodiversity. Soil pollution is an environmental concern that requires comprehensive soil management practices and sustainable remediation techniques for long-term environmental sustainability (Sharma, Gupta, & Singh, 2022).

2.2 Water Pollution

Inadequate water treatment and the presence of pollutants, including pathogens and fecal matter, pose grave risks to public health and access to clean drinking water. Addressing water pollution necessitates the implementation of comprehensive water treatment measures, pollution control strategies, and improved sanitation practices to safeguard public health (Patel, Smith, & Johnson, 2022).

2.3 Depletion of Groundwater Levels

The depletion of groundwater resources, particularly in regions heavily reliant on it for agriculture and drinking water, is a pressing concern. Industries such as garment manufacturing, textile production, cotton farming, and mining contribute to the strain on water resources. Mitigating the depletion of groundwater levels requires balancing water consumption and implementing equitable water usage strategies (Gupta, Sharma, & Singh, 2023).

2.4 Disease and Poor Waste Management

Improper waste management practices have dire consequences for the environment, public health, and sustainable development. Inadequate waste disposal disrupts ecosystems and contributes to the prevalence of diseases. Effective strategies and interventions are necessary to promote sustainable waste management practices and protect community well-being.

2.5 Effects of Water Pollution on Aquatic Animal Health and Biodiversity

Water pollution poses a critical threat to aquatic animals and ecosystems. Chemical pollutants, oil spills, and solid waste dumping have devastating consequences, leading to the loss of animal life and disrupting biodiversity. Urgent action is needed to combat water pollution, protect aquatic animal health, and preserve the delicate balance of ecosystems (Zhang et al., 2022).

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