Optimization of Composting Locations for Livestock Manure in Bangladesh: Spatial Analysis-Based Potential Environmental Benefits Assessment

Zinat Mahal (), Helmut Yabar () and Md Faisal Abedin Khan
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Zinat Mahal: Degree Programs in Life and Earth Sciences, Graduate School of Science and Technology, University of Tsukuba, Tsukuba 305-8577, Japan
Helmut Yabar: Faculty of Life and Environmental Sciences, University of Tsukuba, Tsukuba 305-8577, Japan
Md Faisal Abedin Khan: Ministry of Environment, Forests and Climate Change, Government of the People’s Republic of Bangladesh, Dhaka 1000, Bangladesh

Clean Technol., 2025, vol. 7, issue 3, 1-25

Abstract: For sustainable livestock manure management, composting is a common practice for supplying nutrients to crops. Therefore, optimizing plant locations for composting from livestock manure is essential in Bangladesh. This study performed a land suitability analysis using Geographic Information System (GIS) spatial modeling to identify suitable sites for composting plants, which was optimized through network analysis. After spatial analysis, 15, 42, and 147 locations were identified for large-scale, medium-scale, and small-scale manure-based compost production, respectively, across different scenarios. As a result, approximately 1537.74 kilotons/year of compost can be generated from 2703.86 kilotons of livestock manure, replacing about 44.31% of synthetic fertilizer use in Bangladesh in 2024. The potential reduction in greenhouse gas (GHG) emissions was assessed at 1986.76 gigagrams CO 2eq /year, with nutrient leaching reduction potentials of 15.11 and 10.98 kilotons/year for nitrogen and phosphorus, respectively. Additionally, around 4.51 million tons of livestock manure can be disposed of annually by establishing composting plants. However, assessing the potential environmental benefits by optimizing composting plant locations can support the development of strategies to produce organic fertilizer by utilizing natural resources in Bangladesh.

Keywords: chosen locations; GHG emissions; land suitability analysis; network analysis; sustainable manure management; synthetic fertilizer (search for similar items in EconPapers)
JEL-codes: Q2 Q3 Q4 Q5 (search for similar items in EconPapers)
Date: 2025
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