Editorial
, Volume: 21( 3)
Environmental Risk Assessment Models
Ricardo Mendes*
Department of Environmental Risk and Policy Studies, University of Lisbon, Portugal,
*Corresponding author: Ricardo Mendes. Department of Environmental Risk and Policy Studies, University of Lisbon, Portugal,
Email: ricardo.mendes.env@riskanalysis.pt
Received: oct 04, 2025; Accepted: oct 18, 2025; Published: oct 27, 2025
Abstract
Abstract
Environmental risk assessment models are essential tools for evaluating the potential adverse effects of pollutants and hazardous activities on human health and ecosystem, including soil contamination, water pollution, and air quality degradation. Effective waste disposal and management practices are essential for minimizing environmental impacts and promoting sustainable industrial development. This article examines the sources of industrial solid waste, associated environmental impacts, and various disposal methods used for managing industrial waste.
Keywords: Environmental risk assessment, risk models, environmental management, pollution assessment, decision-making
Introduction
Environmental risk assessment is a systematic process used to evaluate the likelihood and severity of adverse effects resulting from exposure to environmental hazards. It plays a crucial role in environmental protection by supporting regulatory decisions and risk management strategies [1]. Climate-smart agriculture has emerged as a holistic framework that addresses these challenges by integrating adaptation, mitigation, and productivity goals. Climate-smart agriculture practices include conservation agriculture, crop diversification, agroforestry, improved water management, and climate-resilient crop varieties [2]. These practices enhance soil health, improve water-use efficiency, and reduce vulnerability to climate extremes. By maintaining soil organic matter and reducing erosion, CSA practices contribute to long-term agricultural sustainability [3]. In addition to adaptation benefits, climate-smart agriculture can reduce greenhouse gas emissions through improved nutrient management, reduced tillage, and efficient livestock practices [4]. Lower emissions contribute to climate change mitigation while improving farm efficiency. Adoption of CSA practices is influenced by factors such as access to knowledge, financial resources, and supportive policies. Climate-smart agriculture also offers socio-economic benefits by increasing farm incomes, enhancing food security, and strengthening rural resilience [5]. However, scaling up CSA requires capacity building, investment, and institutional support. Integrating climate-smart agriculture into national agricultural policies is essential for addressing climate risks and promoting sustainable development.
Conclusion
Environmental risk assessment models are vital for identifying, evaluating, and managing environmental risks. Adopting sustainable disposal methods, promoting waste reduction, and strengthening regulatory enforcement can significantly reduce environmental impacts. Effective industrial waste management is essential for achieving sustainable development and environmental protection.
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