Bayesian approach in estimating flood waste generation: A case study in South Korea-Reference-Cited by-同舟云学术

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Bayesian approach in estimating flood waste generation: A case study in South Korea

Published:2020-07 Issue: Volume:265 Page:110552
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Park Man Ho,Ju Munsol,Kim Jae Young

Funder

National Research Foundation of Korea

Seoul National University

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Waste Management and Disposal,General Medicine,Environmental Engineering

Reference31 articles.

1. Verifying the performance of artificial neural network and multiple linear regression in predicting the mean seasonal municipal solid waste generation rate: a case study of Fars province, Iran;Azadi;Waste Manag.,2016

2. LII. An essay towards solving a problem in the doctrine of chances. By the late Rev. Mr. Bayes, FRS communicated by Mr. Price,;Bayes,1763

3. A Bayesian approach to analyzing ecotoxicological data;Billoir;Environ. Sci. Technol.,2008

4. Introduction to Bayesian Statistics;Bolstad,2016

5. Bayesian parameter estimation in a mixed-order model of BOD decay;Borsuk;Water Res.,2000

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3. Flood Debris Quantification and Comparison Based on the Removal and Disposal Operation: Postdisaster Study of Beaumont, Texas Following Hurricane Harvey;Natural Hazards Review;2023-11

4. Investigating the causal impacts relationship between economic flood damage and extreme precipitation indices based on ARDL-ECM framework: A case study of Chungcheong region in South Korea;Sustainable Cities and Society;2023-08

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