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Estimating solid waste generation and suitability analysis of landfill sites using regression, geospatial, and remote sensing techniques in Rangpur, Bangladesh

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Abstract

Municipal solid waste (MSW) management has been a growing problem in fast-developing cities. A considerable amount of solid waste is generated daily and disposed anywhere, which creates an unhealthy environment. This study aims to develop a model to determine household solid waste (HSW) generation using multiple linear regression and identify suitable landfill sites to ensure proper MSW disposal in Rangpur City, Bangladesh. Socioeconomic variables data like average monthly income, educational level, family size, age of family head, and average HSW generation per day were collected from 381 respondents through stratified random sampling with a 95% confidence level. Multi-criteria decision analysis (MCDA) was performed using variables like surface water, slope, road network, and land use through GIS and remote sensing to find suitable landfill sites. Results of the model show no multicollinearity as the variance inflation factor was estimated to be less than 2 for each independent variable. Furthermore, the model provides a moderate overall fit because of the coefficient of determination (R2 = 0.661), which denotes the independent variables’ predictive capability. The results also demonstrate that family size and education are the most critical variables in predicting waste generation because of the values of coefficients 122.39 and − 184.72, respectively. This study also illustrated suitable landfill sites through MCDA, which can be a useful resource for the city authority to ensure environmental sustainability by implementing effective strategies for proper MSW management.

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References

  • Abdel-Shafy, H. I., & Mansour, M. S. (2018). Solid waste issue: Sources, composition, disposal, recycling, and valorization. Egyptian Journal of Petroleum, 27(4), 1275–1290. https://doi.org/10.1016/j.ejpe.2018.07.003

    Article  Google Scholar 

  • Abdelouhed, F., Ahmed, A., Abdellah, A., Yassine, B., & Mohammed, I. (2022). GIS and remote sensing coupled with analytical hierarchy process (AHP) for the selection of appropriate sites for landfills: A case study in the province of Ouarzazate, Morocco. Journal of Engineering and Applied Science, 69(1), 19. https://doi.org/10.1186/s44147-021-00063-3

    Article  Google Scholar 

  • Abdulredha, M., Al Khaddar, R., Jordan, D., Kot, P., Abdulridha, A., & Hashim, K. (2018). Estimating solid waste generation by hospitality industry during major festivals: A quantification model based on multiple regression. Waste Management, 77, 388–400. https://doi.org/10.1016/j.wasman.2018.04.025

    Article  Google Scholar 

  • Abed, M., Monavari, S., Karbassi, A. R., Farshchi, P., & Abedi, Z. (2011). Site selection using analytical hierarchy process by geographical information system for sustainable coastal tourism. Proceedings of International Conference on Environmental and Agriculture Engineering, IACSIT Press, Singapore, 15.

  • Abro, M. I., Zhu, D., Wei, M., Majidano, A. A., Khaskheli, M. A., Ul Abideen, Z., & Memon, M. S. (2019). Hydrological appraisal of rainfall estimates from radar, satellite, raingauge and satellite–gauge combination on the Qinhuai River Basin China. Hydrological Sciences Journal, 64(16), 1957–1971. https://doi.org/10.1080/02626667.2018.1557335

    Article  CAS  Google Scholar 

  • Afon, A. O., & Okewole, A. (2007). Estimating the quantity of solid waste generation in Oyo Nigeria. Waste Management & Research, 25(4), 371–379. https://doi.org/10.1177/0734242X07078286

    Article  CAS  Google Scholar 

  • Akinwande, O., Dikko, H. G., & Agboola, S. (2015). Variance inflation factor: As a condition for the inclusion of suppressor variable(s) in regression analysis. Open Journal of Statistics, 05, 754–767. https://doi.org/10.4236/ojs.2015.57075

    Article  Google Scholar 

  • Al-Mashreki, M. H., Akhir, J. B. M., Abd Rahim, S., Lihan, T., & Haider, A. R. (2011). GIS-based sensitivity analysis of multi-criteria weights for land suitability evaluation of sorghum crop in the Ibb Governorate Republic of Yemen. Journal of Basic and Applied Scientific Research, 1, 1102–1111.

    Google Scholar 

  • Al-Salem, S., Al-Nasser, A., Al-Dhafeeri, A. T. (2018). Multi-variable regression analysis for the solid waste generation in the state of Kuwait. Process Safety and Environmental Protection, 119. https://doi.org/10.1016/j.psep.2018.07.017

  • Alkaradaghi, K., Ali, S. S., Al-Ansari, N., & Laue, J. (2020). Landfill site selection using GIS and multi-criteria decision-making AHP and SAW methods: A case study in Sulaimaniyah Governorate. Iraq Engineering, 12(04), 254–268. https://doi.org/10.4236/eng.2020.124021

    Article  Google Scholar 

  • Amit, S., & Kafy, A.-A. (2022a). A content-based analysis to identify the influence of COVID-19 on sharing economy activities. Spatial Information Research, 30(2), 321–333.

    Article  Google Scholar 

  • Amit, S., & Kafy, A. -A. (2022b). A systematic literature review on preventing violent extremism. Journal of Adolescence.

  • Araiza, J., Rojas-Valencia, M., & Vera, R. (2019). Forecast generation model of municipal solid waste using multiple linear regression. Global Journal of Environmental Science and Management, 6, 1–14. https://doi.org/10.22034/GJESM.2020.01.01

    Article  Google Scholar 

  • Asefa, E. M., Damtew, Y. T., & Barasa, K. B. (2021). Landfill site selection using GIS based multicriteria evaluation technique in Harar City, Eastern Ethiopia. 15, Environmental Health Insights (1).

  • Baldwin, E., & Dripps, W. (2012). Spatial characterization and analysis of the campus residential waste stream at a small private Liberal Arts Institution. Resources, Conservation and Recycling, 65, 107–115. https://doi.org/10.1016/j.resconrec.2012.06.002

    Article  Google Scholar 

  • BBS - Bangladesh Bureau of Statistics (2011). Population and housing census 2011. Retrieved 2022, from Dhaka, Bangladesh: http://203.112.218.65:8008/WebTestApplication/userfiles/Image/PopCenZilz2011/Zila_Rangpur.pdf

  • Bennagen M. E. C., & Altez, V. (2004). Impacts of units pricing of solid waste collection and disposal in Olongapo City, Philippines. Retrieved 2022, from Singapore. https://idl-bnc-idrc.dspacedirect.org/handle/10625/45905

  • Bilgilioglu, S. S., Gezgin, C., & Orhan, O. (2021). A GIS-based multi-criteria decision-making method for the selection of potential municipal solid waste disposal sites in Mersin, Turkey. Environmental Science Pollution Research, 29, 5313–5329.

    Article  Google Scholar 

  • Chabok, M., Asakereh, A., Bahrami, H., Jaafarzadeh, N. O. J. E. M., & Assessment. (2020). Selection of MSW landfill site by fuzzy-AHP approach combined with GIS: Case study in Ahvaz Iran. Environmental Monitoring and Assessment, 192(7), 1–15.

    Google Scholar 

  • Chang, N. B., Parvathinathan, G., & Breeden, J. B. (2008). Combining GIS with fuzzy multicriteria decision-making for landfill siting in a fast-growing urban region. Journal of environmental management, 87(1), 139–153.

  • Christian, H., & Macwan, J. E. M. (2017). Landfill site selection through GIS approach for fast growing urban area. 8(11), 10–23.

    Google Scholar 

  • Dangi, M. B., Pretz, C. R., Urynowicz, M. A., Gerow, K. G., & Reddy, J. M. (2011). Municipal solid waste generation in Kathmandu Nepal. Journal of Environmental Management, 92(1), 240–249. https://doi.org/10.1016/j.jenvman.2010.09.005

    Article  Google Scholar 

  • Danthurebandara, M., Van Passel, S., Nelen, D., Tielemans, Y., & Van Acker, K. (2012). Environmental and Socio-Economic Impacts of Landfills, 2012, 40–52.

    Google Scholar 

  • Delgado, M., & Tarantola, S. (2006). GLOBAL sensitivity analysis, GIS and multi-criteria evaluation for a sustainable planning of a hazardous waste disposal site in Spain. International Journal of Geographical Information Science, 20, 449–466. https://doi.org/10.1080/13658810600607709

    Article  Google Scholar 

  • Dı́az-Garcı́a, J., & González Farías, G. (2004). A note on the Cook’s distance. Journal of Statistical Planning and Inference - J STATIST PLAN INFER, 120, 119–136. https://doi.org/10.1016/S0378-3758(02)00494-9

    Article  Google Scholar 

  • Dolui, S., & Sarkar, S. (2021). Identifying potential landfill sites using multicriteria evaluation modeling and GIS techniques for Kharagpur city of West Bengal India. Environmental Challenges, 5, 100243. https://doi.org/10.1016/j.envc.2021.100243

    Article  Google Scholar 

  • El Maguiri, A., Kissi, B., Idrissi, L., & Souabi, S. (2016). Landfill site selection using GIS, remote sensing and multicriteria decision analysis: case of the city of Mohammedia, Morocco. Bulletin of Engineering Geology and the Environment, 75(3), 1301-1309. https://doi.org/10.1007/s10064-016-0889-z

  • Enayetullah, I., Sinha, A. H. M. M., & Lehtonen, I. (2014). Bangladesh waste database 2014. Retrieved 2022, from http://wasteconcern.org/wp-content/uploads/2016/05/Waste-Data-Base_2014_Draft-Final.pdf

  • ESRI. (2014). Understanding weighted overlay. Retrieved 2022, from https://www.esri.com/about/newsroom/arcuser/understanding-weighted-overlay/

  • Eurostat. (2018). Municipal Waste statistics. Retrieved from Luxembourg City, Luxembourg. Retrieved 2022, from https://ec.europa.eu/eurostat/statistics-explained/index.php/Municipal_waste_statistics

  • Frey, B. B. (2018). The SAGE encyclopedia of educational research. Measurement, and Evaluation. https://doi.org/10.4135/9781506326139

    Article  Google Scholar 

  • Ghinea, C., Drăgoi, E. N., Comăniţă, E.-D., Gavrilescu, M., Câmpean, T., Curteanu, S., & Gavrilescu, M. (2016). Forecasting municipal solid waste generation using prognostic tools and regression analysis. Journal of Environmental Management, 182, 80–93. https://doi.org/10.1016/j.jenvman.2016.07.026

    Article  Google Scholar 

  • Gu, B., Wang, H., Chen, Z., Jiang, S., Zhu, W., Liu, M., & Bi, J. (2015). Characterization, quantification and management of household solid waste: A case study in China. Resources, Conservation and Recycling, 98, 67–75. https://doi.org/10.1016/j.resconrec.2015.03.001

    Article  Google Scholar 

  • Hassan, S., Aziz, H., Zakariah, Z., Noor, S., Majid, M., & Karim, N. (2019). Development of linear regression model for brick waste generation in Malaysian construction industry. Journal of Physics: Conference Series, 1349, 012112. https://doi.org/10.1088/1742-6596/1349/1/012112

    Article  Google Scholar 

  • Hazarika, R., & Saikia, A. (2020). Landfill site suitability analysis using AHP for solid waste management in the Guwahati Metropolitan Area, India. Arabian Journal of Geosciences, 13.

  • Higgs, G. (2006). Integrating multi-criteria techniques with geographical information systems in waste facility location to enhance public participation. Waste Management & Research, 24(2), 105–117. https://doi.org/10.1177/0734242X06063817

    Article  Google Scholar 

  • Hoornweg, D., & Bhada-Tata, P. (2012). What a waste: A global review of solid waste management. Retrieved from https://documents1.worldbank.org/curated/en/302341468126264791/pdf/68135-REVISED-What-a-Waste-2012-Final-updated.pdf

  • Hollins, O., Lee, P., Sims, E., Bertham, O., Symington, H., Bell, N., Benke, A. J. (2017). Towards a circular economy - Waste management in the EU. Retrieved from Brussels, Belgium. https://www.europarl.europa.eu/RegData/etudes/STUD/2017/581913/EPRS_STU%282017%29581913_EN.pdf

  • Intharathirat, R., Abdul Salam, P., Kumar, S., & Untong, A. (2015). Forecasting of municipal solid waste quantity in a developing country using multivariate grey models. Waste management (New York, N.Y.), 39. https://doi.org/10.1016/j.wasman.2015.01.026

  • Islam, M., Kashem, S., & Morshed, S. (2020). Integrating spatial information technologies and fuzzy analytic hierarchy process (F-AHP) approach for landfill siting. City and Environment Interactions, 7, 100045. https://doi.org/10.1016/j.cacint.2020.100045

    Article  Google Scholar 

  • Jayyousi, M., Estima, J., & Ghedira, H. (2014). Spatial multi criteria decision analysis based assessment of land value in Abu Dhabi, UAE. Paper presented at the Group Decision and Negotiation. A Process-Oriented View, Cham.

  • Kafy, A. A., Al Rakib, A., Fattah, M. A., Rahaman, Z. A., & Sattar, G. S. (2022). Impact of vegetation cover loss on surface temperature and carbon emission in a fastest-growing city, Cumilla Bangladesh. Building and Environment, 208.

    Article  Google Scholar 

  • Kaya, B., Süzen, M., & Doyuran, V. (2006). Landfill site selection by using geographic information systems. Environmental Geology, 49, 376–388. https://doi.org/10.1007/s00254-005-0075-2

    Article  Google Scholar 

  • Khan, D., Kumar, A., & Samadder, S. R. (2016). Impact of socioeconomic status on municipal solid waste generation rate. Waste Management, 49, 15–25. https://doi.org/10.1016/j.wasman.2016.01.019

    Article  CAS  Google Scholar 

  • Khatun, M. A., Rashid, M. B., & Hygen, H. O. (2016). Climate of Bangladesh. Retrieved 2022, from http://live4.bmd.gov.bd/file/2016/08/17/pdf/21827.pdf

  • Kumar, A., & Samadder, S. R. (2017). An empirical model for prediction of household solid waste generation rate – A case study of Dhanbad, India. Waste Management, 68, 3–15. https://doi.org/10.1016/j.wasman.2017.07.034

    Article  Google Scholar 

  • Latpate, R., Kshirsagar, J., Gupta, V., & Chandra, G. (2021). Advanced sampling methods. Retrieved 2022, from https://www.springerprofessional.de/en/advanced-sampling-methods/19146136

  • Liu, J., Li, Q., Gu, W., & Wang, C. (2019). The impact of consumption patterns on the generation of municipal solid waste in China: Evidences from provincial data. International Journal of Environmental Research and Public Health, 16(10). https://doi.org/10.3390/ijerph16101717

  • Mair, M., Sitzenfrei, R., Kleidorfer, M., Möderl, M., & Rauch, W. (2012). GIS-based applications of sensitivity analysis for sewer models. Water Science and Technology, 65(7), 1215–1222. https://doi.org/10.2166/wst.2012.954

  • Makonyo, M., & Michael, M. (2021). Potential landfill sites selection using GIS-based multi-criteria decision analysis in Dodoma capital city, central Tanzania. GeoJournal. https://doi.org/10.1007/s10708-021-10414-5

    Article  Google Scholar 

  • Makonyo, M., & Msabi, M. M. (2021). Potential landfill sites selection using GIS-based multi-criteria decision analysis in Dodoma capital city, central Tanzania. 1–31.

  • Malczewski, J. (2004). GIS-based land-use suitability analysis: A critical overview. Progress in planning, 62(1), 3–65.

  • Mallik, S. (2022). A remote sensing-based approach for analysis of dry and wet periods of Bangladesh based on standardized precipitation index during 1981–2020. In Water management: A view from multidisciplinary perspectives (pp. 123–142): Springer.

  • Manyoma-Velásquez, P. C., Vidal-Holguín, C. J., & Torres-Lozada, P. (2020). Methodology for locating regional landfills using multi-criteria decision analysis techniques. Cogent Engineering, 7(1), 1776451. https://doi.org/10.1080/23311916.2020.1776451

    Article  Google Scholar 

  • Matušková, S., Taušová, M., Domaracká, L., & Tauš, P. (2021). Waste production and waste management in the EU. IOP Conference Series: Earth and Environmental Science, 900(1), 012024. https://doi.org/10.1088/1755-1315/900/1/012024

    Article  Google Scholar 

  • Monavari, S., Omrani, G., Karbassi, A. R., & Raof, F. (2011). The effects of socioeconomic parameters on household solid-waste generation and composition in developing countries (a case study: Ahvaz, Iran). Environmental Monitoring and Assessment, 184, 1841–1846. https://doi.org/10.1007/s10661-011-2082-y

    Article  Google Scholar 

  • Monavari, S. M., Omrani, G. A., Karbassi, A., & Raof, F. F. (2012). The effects of socioeconomic parameters on household solid-waste generation and composition in developing countries (a case study: Ahvaz, Iran). Environmental Monitoring and Assessment, 184(4), 1841–1846. https://doi.org/10.1007/s10661-011-2082-y

    Article  Google Scholar 

  • Mosbahi, M., Benabdallah, S., & Boussema, M. R. (2015). Sensitivity analysis of a GIS-based model: A case study of a large semi-arid catchment. Earth Science Informatics, 8(3), 569–581. https://doi.org/10.1007/s12145-014-0176-0

    Article  Google Scholar 

  • Murray, L., Nguyen, H., Lee, Y.-F., Remmenga, M., & Smith, D. (2012). Variance inflation factors in regression models with dummy variables. Conference on Applied Statistics in Agriculture. https://doi.org/10.4148/2475-7772.1034

    Article  Google Scholar 

  • Nas, B., Cay, T., Iscan, F., & Berktay, A. (2009). Selection of MSW landfill site for Konya, Turkey using GIS and multi-criteria evaluation. Environmental Monitoring and Assessment, 160, 491–500. https://doi.org/10.1007/s10661-008-0713-8

    Article  Google Scholar 

  • Ojeda-Benitez, S., Lozano-Olvera, G., Morelos, R., & Vega, C. (2008). Mathematical modeling to predict residential solid waste generation. Waste management (New York, N.Y.), 28 Suppl 1, S7-S13. https://doi.org/10.1016/j.wasman.2008.03.020

  • Osborne, J., & Waters, E. (2002). Four assumptions of multiple regression that researchers should always test. Practical Assessment, Research & Evaluation, 8.

  • Otoniel, B., Gerardo, B., & Vence, J. (2001). Forecasting generation of urban solid waste in developing countries—A case study in Mexico. Journal of the Air & Waste Management Association, 1995(51), 86–93. https://doi.org/10.1080/10473289.2001.10464258

    Article  Google Scholar 

  • Philippe, F., & Culot, M. (2009). Household solid waste generation and characteristics in Cape Haitian city, Republic of Haiti. Resources, Conservation and Recycling, 54(2), 73–78. https://doi.org/10.1016/j.resconrec.2009.06.009

    Article  Google Scholar 

  • Pichery, C. (2014). Sensitivity analysis. In P. Wexler (Ed.), Encyclopedia of toxicology (3rd ed., pp. 236–237). Academic Press.

    Chapter  Google Scholar 

  • Popli, K., Park, C., Han, S. M., Kim, S. (2021). Prediction of solid waste generation rates in urban region of Laos using socio-demographic and economic parameters with a multi linear regression approach. Sustainability, 13.https://doi.org/10.3390/su13063038

  • Rahaman, Z. A., Kafy, A. A., Faisal, A. A., Al Rakib, A., Jahir, D. M., Fattah, M., ... & Rahman, M. T. (2022). Predicting microscale land use/land cover changes using cellular automata algorithm on the northwest coast of peninsular Malaysia. Earth Systems and Environment, 1-19.

  • Rahman, S., & Amit, S. (2022). Growth in telehealth use in Bangladesh from 2019–2021-A difference-in-differences approach. 23(1), 42–47.

  • Rakib, M., Atiur, M., Akter, M., Ali, M., Huda, M., & Bhuiyan, M. (2014). An emerging city: Solid waste generation and recycling approach. International Journal of Scientific Research in Environmental Sciences, 2, 74–84. https://doi.org/10.12983/ijsres-2014-p0074-0084

    Article  Google Scholar 

  • Rezaeisabzevar, Y., Bazargan, A., & Zohourian, B. (2020). Landfill site selection using multi criteria decision making: Influential factors for comparing locations. Journal of Environmental Sciences, 93, 170–184. https://doi.org/10.1016/j.jes.2020.02.030

    Article  Google Scholar 

  • Rosecký, M., Šomplák, R., Slavík, J., Kalina, J., Bulková, G., & Bednář, J. (2021). Predictive modelling as a tool for effective municipal waste management policy at different territorial levels. Journal of Environmental Management, 291, 112584. https://doi.org/10.1016/j.jenvman.2021.112584

    Article  Google Scholar 

  • Rudden, M., & Mackenzie, I. (2008). Introduction to ArcGIS desktop and ArcGIS engine development. Paper presented at the 2008 ESRI Developer Summit, Palm Springs, CA, United States.

  • Saha, M., Kafy, A. A., Bakshi, A., Almulhim, A. I., Rahaman, Z. A., Al Rakib, A., ... & Rathi, R. (2022). Modelling microscale impacts assessment of urban expansion on seasonal surface urban heat island intensity using neural network algorithms. Energy and Buildings, 275, 112452.

  • Sankoh, F. P., Yan, X., & Conteh, A. M. H. (2012). A situational assessment of socioeconomic factors affecting solid waste generation and composition in Freetown, Sierra Leone. Journal of Environmental Protection, 3, 563–568.

    Article  Google Scholar 

  • Sarker, M., & Rahman, M. (2018). Assessment of solid waste management process in Rangpur City Corporation Area. Journal of Geography, Environment and Earth Science International, 16, 1–10. https://doi.org/10.9734/JGEESI/2018/42225

    Article  Google Scholar 

  • Sarptaş, H., Alpaslan, N., & Dolgen, D. (2005). GIS supported solid waste management in coastal areas. Water Science and Technology : A Journal of the International Association on Water Pollution Research, 51, 213–220. https://doi.org/10.2166/wst.2005.0408

    Article  Google Scholar 

  • Senan, A., Tarek, M. O. R., Amit, S., Rahman, I., & Kafy, A. A. (2022). Re-opening the Bangladesh economy: Search for a framework using a riskimportance space. Spatial Information Research, 1–11.

  • Sener, S., Sener, E., & Davraz, A. J. I. M. S. G. S. (2010). Landfill site selection using analytical hierarchy process and geographic information systems: A case study in Yalvaç Basin, Isparta. Turkey, 2, 643.

    Google Scholar 

  • Sharma, H. D., & Reddy, K. R. (2004). Geoenvironmental engineering: Site remediation, waste containment, and emerging waste management technologies: John Wiley & Sons.

  • Shrestha, N. (2020). Detecting multicollinearity in regression analysis. American Journal of Applied Mathematics and Statistics, 8, 39–42. https://doi.org/10.12691/ajams-8-2-1

    Article  Google Scholar 

  • Sujauddin, M., Huda, S. M. S., & Hoque, A. R. (2008). Household solid waste characteristics and management in Chittagong, Bangladesh. Waste management (New York, N.Y.), 28, 1688–1695. https://doi.org/10.1016/j.wasman.2007.06.013

  • Sun, N., & Chungpaibulpatana, S. (2017). Development of an appropriate model for forecasting municipal solid waste generation in Bangkok. Energy Procedia, 138, 907–912. https://doi.org/10.1016/j.egypro.2017.10.134

    Article  Google Scholar 

  • Suthar, S., Singh, P. (2014). Household solid waste generation and composition in different family size and socio-economic groups: A case study. Sustainable Cities and Society, 14. https://doi.org/10.1016/j.scs.2014.07.004

  • Tajmin, A., Shakil, W. I., & Hasan, M. R. (2016). Municipal solid waste generation and management: A case study of Rangpur City Corporation. Journal of Bangladesh Institute of Planners, 9, 171–182.

    Google Scholar 

  • Tarek, M. O. R., Amit, S., & Kafy, A. A. (2022). Sharing economy: Conceptualization, motivators and barriers, and avenues for research in Bangladesh. In Redefining Global Economic Thinking for the Welfare of Society (pp. 57–74): IGI Global.

  • Tassie Wegedie, K. (2018). Households solid waste generation and management behavior in case of Bahir Dar City, Amhara National Regional State Ethiopia. Cogent Environmental Science, 4(1), 1471025. https://doi.org/10.1080/23311843.2018.1471025

    Article  Google Scholar 

  • Thanh, N. P., Matsui, Y., & Fujiwara, T. (2010). Household solid waste generation and characteristic in a Mekong Delta city Vietnam. Journal of Environmental Management, 91(11), 2307–2321. https://doi.org/10.1016/j.jenvman.2010.06.016

    Article  CAS  Google Scholar 

  • Trang, P., Dong, H., Toan, D., Hanh, N., & Thu, N. (2017). The effects of socio-economic factors on household solid waste generation and composition: A case study in Thu Dau Mot Vietnam. Energy Procedia, 107, 253–258. https://doi.org/10.1016/j.egypro.2016.12.144

    Article  Google Scholar 

  • Verma, A., Singh, N. B., Kumar, A. (2019). Application of multi linear model for forecasting municipal solid waste generation in Lucknow City: A case study. Current World Environment, 14. https://doi.org/10.12944/CWE.14.3.10

  • Wei, Y., Xue, Y., Yin. J., Ni, W. (2013). Prediction of municipal solid waste generation in China by multiple linear regression method. International Journal of Computers and Applications, 35. https://doi.org/10.2316/P.2013.806-009

  • World Population Review. (2021). Retrieved 2022, from https://worldpopulationreview.com/world-cities/rangpur-population

  • Zarin, R., Azmat, M., Naqvi, S. R., Saddique, Q., & Ullah, S. (2021). Landfill site selection by integrating fuzzy logic, AHP, and WLC method based on multi-criteria decision analysis. Environmental Science and Pollution Research, 28(16), 19726–19741. https://doi.org/10.1007/s11356-020-11975-7

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Urban & Regional Planning, Rajshahi University of Engineering & Technology, Rajshahi, 6203, Bangladesh

    Bishal Guha & Zahin Momtaz

  2. Department of Geography & the Environment, The University of Texas at Austin, 1 University Station A3100, TX, Austin, 78712, USA

    Abdulla - Al Kafy

  3. Department of Geography & Environment, Faculty of Human Sciences, Sultan Idris Education University, Tanjung Malim, 35900, Malaysia

    Zullyadini A. Rahaman

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  1. Bishal Guha
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  2. Zahin Momtaz
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  3. Abdulla - Al Kafy
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  4. Zullyadini A. Rahaman
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Contributions

Bishal Guha, Zahin Momtaz, Abdulla -Al Kafy, and Zullyadini A. Rahaman designed the research and methodology, completed the experiment and calculation, analyzed the results, proffered the policies, collected and compiled all the data and literature, revised the manuscript, and approved the manuscript.

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Correspondence to Abdulla - Al Kafy.

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Bishal Guha and Abdulla - Al Kafy contributed equally.

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Annex I Questionnaire of factors related to HSW generation

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Guha, B., Momtaz, Z., Kafy, A . et al. Estimating solid waste generation and suitability analysis of landfill sites using regression, geospatial, and remote sensing techniques in Rangpur, Bangladesh. Environ Monit Assess 195, 54 (2023). https://doi.org/10.1007/s10661-022-10695-4

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