Assessment of solid waste generation and compositions in AIT : (Record no. 9364)

MARC details
000 -LEADER
fixed length control field 04085nas a2200421 a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260817163644.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 251103s20259999th u ms t 000 eng d
035 ## - SYSTEM CONTROL NUMBER
System control number .b12467042
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT Thesis no.EV-25-01
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Tesfamarian, Abraham Habtemichael
245 10 - TITLE STATEMENT
Title Assessment of solid waste generation and compositions in AIT :
Remainder of title a machine learning approach
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Pathum Thani, Thailand :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 2025
300 ## - PHYSICAL DESCRIPTION
Extent 105 leaves :
Other physical details ill.+
Accompanying material 1 online resource
490 1# - SERIES STATEMENT
Series statement Thesis ;
Volume/sequential designation no. EV-25-01
500 ## - GENERAL NOTE
General note A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Environmental Engineering and Management
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M. Eng.) - Asian Institute of Technology, 2025
520 ## - SUMMARY, ETC.
Summary, etc. This study explored the generation and composition of solid waste at the Asian Institute of Technology (AIT) in Thailand by applying an integrated approach that combines empirical waste analysis with machine learning (ML) techniques. Data was gathered through field sampling, online surveys, interviews, institutional sources (OFAM and OSA), and prior thesis work. Waste composition was examined using the quartering method across academic, residential, and commercial areas, while recyclable potential was analyzed to assess opportunities for resource recovery. A seasonal study (Dec 2024{u2013}Mar 2025) showed that food waste made up the largest portion (51.24%), followed by plastics (17.58%). In the current year, AIT generated 2.08 tons/day, averaging 0.8 kg/person. In major events (e.g., graduation), waste level exceeded 80 kg/collector/trip, 5 times the baseline, but contributed only 8% of the total annual volume. Regular weekdays cumulatively contributed 92%, suggesting targeted interventions. Per capita waste generation rose to 0.9 kg/day during COVID-19 but stabilized post-pandemic. Eight ML models were tested: regression (RF, SVR, GB, XGBoost) and classification (RF, J48, LR, XGBoost). Models used an 80/20 training-test split and were evaluated using five-fold cross-validation. SVR (R²=0.90, MAE=0.06) and RF (accuracy=82%) outperformed others. SHAP analysis revealed that kitchen access, household size, and age range were significant factors influencing waste generation. This research improved upon D. Zhang et al. (2020) by using zone-wide quartering instead of single-zone sampling. Also advancing Cha et al. (2023), by combining SHAP values with heat maps, pairing SVR with RF, and reducing MSE by 90.3% (from 0.31 to 0.03). The R² was also 45% higher than Cha{u2019}s AE-ANN model.The framework supports SDGs 11 and 12, showing potential to reduce landfill dependence by 35%, cut paper waste by 50% through two-sided printing and an electronic mailing policy, and divert 72% of event waste via targeted segregation. The findings offer interpretable, ML-based campus waste solutions, potentially scalable to other institutions.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Waste management
Geographic subdivision Thailand
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Integrated solid waste management
Geographic subdivision Thailand
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Thammarat Koottatep,
Relator term Chairperson
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ghimire, Anish,
Relator term Examination Committee
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Sarawut Ninsawat,
Relator term Examination Committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Ministry of Agriculture, Eritrea,
Relator term Scholarship Donor
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element AIT Scholarship,
Relator term Scholarship Donor
810 2# - SERIES ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Institute of Technology.
Title of a work Thesis ;
Volume/sequential designation no. EV-25-01
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B22989">http://203.159.5.9/ait-thesis/detail.php?q=B22989</a>
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a .b12467042
b mnait
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902 ## - LOCAL DATA ELEMENT B, LDB (RLIN)
a 251110
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Operator's initials, OID (RLIN) 0
Cataloger's initials, CIN (RLIN) 251106
First date, FD (RLIN) m
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945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnarc
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnarc
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 40-Archives
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 67-Electronic Resource
909 ## - LOCAL ITEMS USED
Barcode Barcode : 30050120423800
CREATED CREATED : 2025-03-11
RECORD Id RECORD # : i13560505
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CREATED CREATED : 2025-03-11
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Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 17/08/2026   AIT Thesis no.EV-25-01 30050120423800 17/08/2026 1 17/08/2026 40-Archives
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 17/08/2026   AIT Thesis no.EV-25-01   17/08/2026 1 17/08/2026 67-Electronic Resource
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