Related Experiment Video
Updated: Apr 17, 2026
11:53
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
13.6K
Forecasting of municipal solid waste quantity in a developing country using multivariate grey models.
Rotchana Intharathirat1, P Abdul Salam1, S Kumar1
1Energy Field of Study, School of Environment, Resources and Development, Asian Institute of Technology, P.O. Box 4, KlongLuang, Pathumthani 12120, Thailand.
Waste Management (New York, N.Y.)
|February 24, 2015
Summary
Accurate forecasting of municipal solid waste (MSW) is crucial for sustainable waste management. An optimized multivariate grey model accurately predicts Thailand
Area of Science:
- Environmental Science
- Waste Management
- Mathematical Modeling
Background:
- Accurate forecasting of municipal solid waste (MSW) is essential for sustainable waste management.
- Developing countries face challenges in MSW estimation due to limited data.
- Existing models often lack reliability for long-term MSW predictions.
Purpose of the Study:
- To forecast MSW generation in Thailand using an optimized multivariate grey model.
- To provide prediction intervals for long-term MSW forecasting.
- To identify key factors influencing MSW collection.
Main Methods:
- Utilized an optimized multivariate grey model (GMC (1, 5)) based on grey system theory.
- Identified, classified, and quantified factors affecting waste from residential and commercial sectors.
- Employed statistical and mathematical approaches for grey model optimization.
Main Results:
- The GMC (1, 5) model achieved high accuracy with a 1.16% Mean Absolute Percentage Error (MAPE).
- MSW collection in Thailand is projected to increase by 1.40% annually, from 43,435-44,994 tonnes/day in 2013 to 55,177-56,735 tonnes/day by 2030.
- Population density was identified as the most significant factor influencing MSW, followed by urbanization, employment proportion, and household size.
Conclusions:
- The optimized multivariate grey model provides reliable long-term MSW forecasting for Thailand.
- Commercial sector factors appear to have a greater impact on MSW generation than residential factors.
- Findings support informed decision-making for developing effective long-term waste management strategies and policies.
Related Concept Videos
01:28Methods of Medium Optimization
63
Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
63
01:17Design Example: Analyzing Capacity Contours for Flood Risk Assessment
384
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
384
01:23Mechanistic Models: Compartment Models in Individual and Population Analysis
342
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
342
01:29Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
414
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
414
01:29Applications of GIS: Disaster Management and Emergency Response
720
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
720
01:24One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
1.5K
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
On...
1.5K