RESUMEN
In many cases, poor management of water supplies is to blame for a crisis. Scholars and practitioners have proposed developing enhanced modalities of water governance that promote the implementation of Integrated Water Resources Management (IWRM) to meet the interconnected problems of assuring access to sustainable water supplies for the world's populations. Therefore, this research aims to do two things: 1) evaluate the current status of water and related resources, and 2) create an operational decision-support system for the sustainable use of water resources based on integrated water resources management (IWRM). Beneficiaries are involved in all stages of the planning process, from the first brainstorming to the final evaluation. There hasn't been anything quite like these kinds of efforts before because they do not actively include community groups and government agencies in project design and money distribution. Matching water resources with various users (farmers, fisherman, women, and others) and their agriculture and fisheries development requirements was the focus of this study, which took an integrated participatory approach. Therefore, water management agencies are established through participatory water management. Beneficiaries realized that collective action results in the empowerment of all community members through capacity building and participatory water management. Because of this plan, agricultural progress in the area under consideration will proceed smoothly.
RESUMEN
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.