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

Guha, Bishal; Momtaz, Zahin; Kafy, Abdulla Al; Rahaman, Zullyadini A.

doi:10.1007/s10661-022-10695-4

Cited by 4 publications

(4 citation statements)

References 71 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This reference provides a point of comparison and guidance to establish realistic and practical goals in the waste management process. It is essential to note that most of the studies focus on determining new landfill ubication using Spatial multi-criteria evaluation and geographic information systems [29][30][31], this work evaluates the existing landfill lifetime as a consequence of implementing or not sorting plants while takes into account the population rise.…”

Section: Resultsmentioning

confidence: 99%

Application of system dynamics to evaluate reduction targets for the entry of solid waste into a landfill site

Ibargüen Rodríguez,

Flores Cuautle

2024

Discov Environ

View full text Add to dashboard Cite

The waste produced around the world increases daily due to population increase and the fact that life expectancy is longer. Waste production is higher in urban environments; therefore, managing Urban Solid Waste must be more rigorous to avoid environmental problems and health effects. For this reason, standards are created to properly manage landfills so that each life cycle stage is managed responsibly. However, a solid commitment from the community and more management regulations from the government are needed to be focused on reducing, reusing, and recycling materials as much as possible. This commitment needs to be reinforced to the extent that regulatory policies are created at the household level as much as education and awareness programs are implemented. This study presents a method to evaluate how imposing waste management goals before they reach landfills can increase the lifetime of landfills and, consequently the suitableness of a treatment plant implementation.

show abstract

Section: Resultsmentioning

confidence: 99%

Application of system dynamics to evaluate reduction targets for the entry of solid waste into a landfill site

Ibargüen Rodríguez,

Flores Cuautle

2024

Discov Environ

View full text Add to dashboard Cite

show abstract

“…These results corroborate those found by Miezah et al [15] in Ghana ; Qu et al [10] in Beijing, China ; Thanh et al [11] in Mekong Delta city, Vietnam ; Irwan et al [48] in Putrajaya, Malaisia ; Kayode and Omode [49] in Ibadan, Nigeria ; Lozano Lazo et al [22] in Santa Cruz de la Sierra, Bolivie all worked on solid household waste. However, previous studies Trang et al [47] ; Khan et al [50]; Noufal et al [51]; Sankoh et al [52] ; Senzige et al [53] ; Guha et al [21] have shown a positive relationship of household size on daily solid waste production, as the increase of one person in the household increases the amount of household solid waste produced per person. This increase in daily household solid waste production is a function of the increase in household consumption [50,52].…”

Section: Effect Of Household Size On Household Solid Waste Productionmentioning

confidence: 92%

“…However, in industrialized countries, they are generally between 0.1 and 0.4kg/capita/day [10]. Daily production of household solid waste is generally correlated with household size and/or socioeconomic level [21][22][23]. Higher-income households will produce more waste on the one hand, and larger households would produce less waste [7,10,15,24].…”

Section: Introductionmentioning

confidence: 99%

Characterization, quantification and recovery prospects for organic waste from the town of Dolisie in the Republic of Congo

Roche Kder BASSOUKA-MIATOUKANTAMA,

Jean de Dieu NZILA,

Noël WATHA NDOUDY

et al. 2023

World J. Adv. Res. Rev.

View full text Add to dashboard Cite

Developing countries are facing increasing urbanization accompanied by the production of large quantities of solid household waste, the management of which is a crucial problem. This study aims to characterize, quantify and promote the recovery of organic waste in Dolisie, Republic of Congo. More specifically, it aims to: (i) Determine the flow of solid household waste produced in Dolisie and (ii) Evaluate the physical properties of solid household waste with a view to predicting possible recovery routes for organic waste. Waste from 60 households of different socio-economic levels was collected, weighed, dried and classified daily for 60 days, during the wet (February 15 - May 15, 2021) and dry (July 12 - September 30, 2021) seasons. The results showed that the average daily production of solid household waste in the city of Dolisie was 0.82±0.23kg/capita/day in the wet season and 0.61±0.10kg/capita/day in the dry season. Daily per capita production correlates positively with family income and negatively with household size. The average density of waste produced was 355.71±92.99kg/m3 and 308.02±74.15kg/m3 respectively for the wet and dry seasons. The moisture content of the waste varies between 40-80% in both seasons. The waste stream collected is dominated by waste sizes between 100-20mm. The study revealed that the composition of solid household waste produced in Dolisie is dominated by biodegradable waste, which can be recycled in several sustainable ways: composting, biomass pyrolysis and biogas production.

show abstract

“…Various studies have been done all over the world regarding ecology, environment and disasters for example: modelling the morphometric characteristics and course of Brahmaputra river 13 , modified managed aquifer recharge model for groundwater management 14 , geospatial approach for developing an integrated water resource 15 , unique approaches to water management 16 , development of stormwater pretreatment system 17 , opportunities and challenges for implementing managed aquifer recharge models 18 , hydrology, water quality and trophic state of Pergau Reservoir 19 , prediction of drought using machine learning algorithm, estimating solid waste generation and suitability analysis 20 etc. Numerous studies have been done regarding salinity which is an important topic relevant to ecology, environment and geospatial science.…”

Section: Introductionmentioning

confidence: 99%

Coupling of machine learning and remote sensing for soil salinity mapping in coastal area of Bangladesh

Sarkar,

Rudra,

Sohan

et al. 2023

Sci Rep

View full text Add to dashboard Cite

Soil salinity is a pressing issue for sustainable food security in coastal regions. However, the coupling of machine learning and remote sensing was seldom employed for soil salinity mapping in the coastal areas of Bangladesh. The research aims to estimate the soil salinity level in a southwestern coastal region of Bangladesh. Using the Landsat OLI images, 13 soil salinity indicators were calculated, and 241 samples of soil salinity data were collected from a secondary source. This study applied three distinct machine learning models (namely, random forest, bagging with random forest, and artificial neural network) to estimate soil salinity. The best model was subsequently used to categorize soil salinity zones into five distinct groups. According to the findings, the artificial neural network model has the highest area under the curve (0.921), indicating that it has the most potential to predict and detect soil salinity zones. The high soil salinity zone covers an area of 977.94 km2 or roughly 413.51% of the total study area. According to additional data, a moderate soil salinity zone (686.92 km2) covers 30.56% of Satkhira, while a low soil salinity zone (582.73 km2) covers 25.93% of the area. Since increased soil salinity adversely affects human health, agricultural production, etc., the study's findings will be an effective tool for policymakers in integrated coastal zone management in the southwestern coastal area of Bangladesh.

show abstract

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

Cited by 4 publications

References 71 publications

Application of system dynamics to evaluate reduction targets for the entry of solid waste into a landfill site

Application of system dynamics to evaluate reduction targets for the entry of solid waste into a landfill site

Characterization, quantification and recovery prospects for organic waste from the town of Dolisie in the Republic of Congo

Coupling of machine learning and remote sensing for soil salinity mapping in coastal area of Bangladesh

Contact Info

Product

Resources

About