Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Microbes and Climate Change

Microbes and Climate Change

Microorganisms are pivotal agents in Earth's biogeochemical cycles, significantly influencing climate dynamics through their metabolic activities. These microbes modulate the levels of key greenhouse gases by both contributing to and helping mitigate climate change.Microbial Contributions to Greenhouse Gas EmissionsRising global temperatures accelerate microbial metabolism, which, in turn, speeds up the decomposition of organic matter. This process releases carbon dioxide (CO₂) through...

Microbial Wastewater Treatment

Microbial Wastewater Treatment

Microbial communities in aquatic ecosystems play a key role in the natural breakdown of contaminants introduced through domestic and industrial effluents. Acting as biological catalysts, these microbes change and mineralize a wide range of organic and inorganic pollutants under different redox conditions.In oxygen-rich surface waters, aerobic heterotrophs lead organic matter breakdown, using oxygen as the terminal electron acceptor to efficiently oxidize substrates to carbon dioxide and water.

Microbial Bioremediation of Hydrocarbons

Microbial Bioremediation of Hydrocarbons

Bioremediation is an environmentally sustainable process that employs living organisms—primarily microorganisms—to degrade or neutralize pollutants from contaminated environments. In oil spills and hydrocarbon pollution, bioremediation involves the use of hydrocarbon-degrading bacteria to transform toxic compounds into less harmful substances. This approach leverages natural microbial metabolic processes and is considered both cost-effective and ecologically favorable compared to physical or...

Microbial Bioremediation of Plastics

Microbial Bioremediation of Plastics

Polyethylene terephthalate (PET) is a synthetic polymer widely utilized in the packaging industry, particularly for bottles and containers. Due to its chemical stability and durability, PET accumulates in the environment, contributing significantly to plastic pollution. It comprises repeating units of terephthalic acid and ethylene glycol, resulting in a semi-crystalline structure that is resistant to natural degradation processes.A notable breakthrough in plastic biodegradation came with the...

Biological Treatment of Effluent and Waste Water

Biological Treatment of Effluent and Waste Water

Biological wastewater treatment relies on the metabolic activity of microorganisms to remove pollutants from sewage. In modern treatment systems, this process is organized into sequential stages that progressively reduce solid material, dissolved organic matter, and microbial contamination. Each stage plays a distinct role in improving water quality and preparing the effluent for safe discharge or reuse.Primary and Secondary TreatmentPrimary treatment is a physical process that removes large...

Microbial Bioremediation of Pesticides

Microbial Bioremediation of Pesticides

Pesticides often feature structurally complex chemical architectures, incorporating halogen groups and multiple aromatic rings. These characteristics confer high chemical stability, rendering many pesticides resistant to natural degradation processes. This resistance poses significant environmental concerns, as persistent pesticide residues can accumulate in ecosystems and affect non-target organisms.Despite the inherent stability of many pesticides, certain microorganisms possess the metabolic...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Mechanical loading primes MSC-derived exosomes to promote cartilage repair.

Bioactive materials·2026

Same author

Leaf vein-inspired ethyl cellulose mediated dual-network design for enhanced energy storage in PVDF-based all-organic polymer dielectrics.

Carbohydrate polymers·2026

Same author

Atmospheric moisture transport anomalies and vegetation response in arid coastal ecosystems: insights from the 2017 coastal El Niño in northern Peru.

Frontiers in plant science·2026

Same author

Relaxation Suppressed Exchange Tuning MRI Integrated with Manganese-Based Nanozyme Probes for Ferroptosis Induction and GPX4 Monitoring.

ACS applied bio materials·2026

Same author

Repurposing aluminum-based water treatment residual (WTR) as a filtration medium for microplastic removal: Performance, mechanisms, and real-water applicability.

Water research·2026

Same author

Changes in estimated glucose disposal rate and future stroke risk in individuals with cardiovascular-kidney-metabolic syndrome stages 0-3.

Scientific reports·2026

Search research articles

Related Experiment Video

Updated: Jun 25, 2026

Measuring Biomethane Potential of Food Scrap Waste Anaerobically Co-Digested with Waste-Activated Sludge Using Respirometry

Measuring Biomethane Potential of Food Scrap Waste Anaerobically Co-Digested with Waste-Activated Sludge Using Respirometry

Published on: April 26, 2024

Greenhouse gas mitigation-induced rough-interval programming for municipal solid waste management.

Hongwei Lu¹, Guohe Huang, Zhenfang Liu

¹Environmental Systems Engineering Program, Faculty of Engineering, University of Regina, Regina, Saskatchewan, Canada.

Journal of the Air & Waste Management Association (1995)

|February 5, 2009

Summary

This study introduces a rough-interval programming model for greenhouse gas (GHG) mitigation in municipal solid waste (MSW) management. The model effectively handles uncertainty, optimizing strategies for climate change impact and pollution control.

More Related Videos

Biogas Purification through the use of a Microalgae-Bacterial System in Semi-Industrial High Rate Algal Ponds

Biogas Purification through the use of a Microalgae-Bacterial System in Semi-Industrial High Rate Algal Ponds

Published on: March 22, 2024

Coupling Carbon Capture from a Power Plant with Semi-automated Open Raceway Ponds for Microalgae Cultivation

Coupling Carbon Capture from a Power Plant with Semi-automated Open Raceway Ponds for Microalgae Cultivation

Published on: August 14, 2020

Related Experiment Videos

Last Updated: Jun 25, 2026

Measuring Biomethane Potential of Food Scrap Waste Anaerobically Co-Digested with Waste-Activated Sludge Using Respirometry

Measuring Biomethane Potential of Food Scrap Waste Anaerobically Co-Digested with Waste-Activated Sludge Using Respirometry

Published on: April 26, 2024

Biogas Purification through the use of a Microalgae-Bacterial System in Semi-Industrial High Rate Algal Ponds

Biogas Purification through the use of a Microalgae-Bacterial System in Semi-Industrial High Rate Algal Ponds

Published on: March 22, 2024

Coupling Carbon Capture from a Power Plant with Semi-automated Open Raceway Ponds for Microalgae Cultivation

Coupling Carbon Capture from a Power Plant with Semi-automated Open Raceway Ponds for Microalgae Cultivation

Published on: August 14, 2020

Area of Science:

Environmental Engineering
Operations Research
Climate Science

Background:

Municipal solid waste (MSW) management significantly contributes to greenhouse gas (GHG) emissions and environmental pollution.
Climate change necessitates advanced strategies for mitigating GHG emissions from waste management systems.
Existing optimization models often struggle to incorporate the inherent uncertainties in environmental parameters.

Purpose of the Study:

To develop a novel rough-interval programming model for optimizing GHG mitigation in MSW management.
To integrate environmental pollution control and climate change impacts within a unified modeling framework.
To analyze the influence of uncertain parameters on decision-making for sustainable waste management strategies.

Main Methods:

Formulation of a greenhouse gas (GHG) mitigation-induced rough-interval programming model.
Incorporation of GHG emission and environmental pollution control components into objective functions and constraints.
Application of rough intervals to represent and manage parameter uncertainties.
Case study analysis with two distinct future management policy scenarios.

Main Results:

The model effectively analyzes interrelationships between MSW management, climate change, and pollution control.
Optimal allocation schemes are generated to support environmentally sustainable strategies.
The model demonstrates advantages in mitigating GHG emissions and climate change impacts.
Comparison reveals that dual-uncertain information significantly alters solutions compared to models without rough intervals.

Conclusions:

The proposed rough-interval programming model offers a robust approach for GHG mitigation in MSW management under uncertainty.
The model provides valuable insights for policymakers aiming for sustainable environmental strategies.
Accounting for uncertainty through rough intervals is crucial for accurate optimization in complex environmental systems.