Appraising water resources for irrigation and spatial analysis based on fuzzy logic model in the tribal-prone areas of Bangladesh
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View abstract on PubMed
Summary
This summary is machine-generated.This study used fuzzy logic and GIS to assess irrigation water quality in Bangladesh. Results show most groundwater and 75% of surface water are suitable for agriculture, identifying key areas for sustainable farming.
Area Of Science
- Environmental Science
- Agricultural Science
- Water Resource Management
Background
- Sustainable agriculture faces challenges due to limited access to quality irrigation water resources.
- Assessing irrigation water suitability is crucial for preventing soil degradation and ensuring crop yield.
- Geographic Information System (GIS) and fuzzy logic offer advanced tools for spatial analysis of water quality.
Purpose Of The Study
- To identify optimal farming areas by evaluating irrigation water quality using a fuzzy logic model within a GIS framework.
- To analyze surface and groundwater samples for key irrigation water quality parameters in Khagrachhari Sadar Upazila, Bangladesh.
- To develop a comprehensive irrigation suitability map for enhancing agricultural practices in tribal-prone regions.
Main Methods
- Collected and analyzed 28 surface water and 39 groundwater samples for parameters including EC, TDS, SAR, SSP, RSBC, MHR, KR, and PI.
- Employed the Fuzzy Irrigation Water Quality Index (FIWQI) to classify water suitability for irrigation.
- Generated spatial maps of water quality parameters using fuzzy membership values and overlaid them to create an overall suitability map.
Main Results
- 100% of groundwater and 75% of surface water samples were classified as excellent to good for irrigation.
- The northern and southwestern areas show high suitability for agriculture, with 75% surface water and 100% groundwater suitability.
- Western and central regions were identified as unsuitable due to high bicarbonate and magnesium content.
Conclusions
- The study successfully pinpointed irrigation water suitability patterns, identifying suitable agricultural zones in tribal-prone areas.
- The fuzzy logic approach integrated with GIS provides a robust method for regional water resource management and agricultural planning.
- Findings support the improvement of sustainable agricultural uses by guiding water resource allocation and management strategies.
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