Geospatial Assessment and Modeling of Water–Energy–Food Nexus Optimization for Sustainable Paddy Cultivation in the Dry Zone of Sri Lanka: A Case Study in the North Central Province

This study presents a geospatial assessment and modeling of the water–energy–food (WEF) nexus to enrich the sustainable paddy cultivation of the North Central Province (NCP) of Sri Lanka in the Dry Zone. Increasing climatic variability and limited resources have raised concerns about the need for efficient resource management to restore food security globally. The study analyzed the three components of the WEF nexus for their synergies and trade-offs using GIS and remote sensing applications. The food productivity potential was derived using the Normalized Difference Vegetation Index (NDVI), Soil Organic Carbon (SOC), soil type, and land use, whereas water availability was assessed using the Normalized Difference Water Index (NDWI), Soil Moisture Index (SMI), and rainfall data. Energy potential was mapped using WorldClim 2.1 datasets on solar radiation and wind speed and the proximity to the national grid. Scenario modeling was conducted through raster overlay analysis to identify zones of WEF constraints and synergies such as low food–low water areas and high energy–low productivity areas. To ensure the accuracy of the created model, Pearson correlation analysis was used to internally validate between hotspot layers (representing extracted data) and scenario layers (representing modeled outputs). The results revealed a strong positive correlation (r = 0.737), a moderate positive correlation for energy (r = 0.582), and a positive correlation for food (r = 0.273). Those values were statistically significant at p > 0.001. These results confirm the internal validity and accuracy of the model. This study further calculated the total greenhouse gas (GHG) emissions from paddy cultivation in NCP as 1,070,800 tCO2eq yr−1, which results in an emission intensity of 5.35 tCO2eq ha−1 yr−1, with CH4 contributing around 89% and N2O 11%. This highlights the importance of sustainable cultivation in mitigating agricultural emissions that contribute to climate change. Overall, this study demonstrates a robust framework for identifying areas of resource stress or potential synergy under the WEF nexus for policy implementation, to promote climate resilience and sustainable paddy cultivation, to enhance the food security of the country. This model can be adapted to implement similar research work in the future as well.

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Publication Details

Journal
Water
Published
2026-01-06
DOI
https://doi.org/10.3390/w18020152
Primary Topic
Water-Energy-Food Nexus Studies
Type
article
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article

Geospatial Assessment and Modeling of Water–Energy–Food Nexus Optimization for Sustainable Paddy Cultivation in the Dry Zone of Sri Lanka: A Case Study in the North Central Province

Yeon-Kyu Sonn, Jeong-woo Son, Seung-Oh Hur, Awanthi Udeshika Iddawela
Water
Water-Energy-Food Nexus Studies
article

Geospatial Assessment and Modeling of Water–Energy–Food Nexus Optimization for Sustainable Paddy Cultivation in the Dry Zone of Sri Lanka: A Case Study in the North Central Province

Yeon-Kyu Sonn, Jeong-woo Son, Seung-Oh Hur, Awanthi Udeshika Iddawela
article en

Abstract

This study presents a geospatial assessment and modeling of the water–energy–food (WEF) nexus to enrich the sustainable paddy cultivation of the North Central Province (NCP) of Sri Lanka in the Dry Zone. Increasing climatic variability and limited resources have raised concerns about the need for efficient resource management to restore food security globally. The study analyzed the three components of the WEF nexus for their synergies and trade-offs using GIS and remote sensing applications. The food productivity potential was derived using the Normalized Difference Vegetation Index (NDVI), Soil Organic Carbon (SOC), soil type, and land use, whereas water availability was assessed using the Normalized Difference Water Index (NDWI), Soil Moisture Index (SMI), and rainfall data. Energy potential was mapped using WorldClim 2.1 datasets on solar radiation and wind speed and the proximity to the national grid. Scenario modeling was conducted through raster overlay analysis to identify zones of WEF constraints and synergies such as low food–low water areas and high energy–low productivity areas. To ensure the accuracy of the created model, Pearson correlation analysis was used to internally validate between hotspot layers (representing extracted data) and scenario layers (representing modeled outputs). The results revealed a strong positive correlation (r = 0.737), a moderate positive correlation for energy (r = 0.582), and a positive correlation for food (r = 0.273). Those values were statistically significant at p > 0.001. These results confirm the internal validity and accuracy of the model. This study further calculated the total greenhouse gas (GHG) emissions from paddy cultivation in NCP as 1,070,800 tCO2eq yr−1, which results in an emission intensity of 5.35 tCO2eq ha−1 yr−1, with CH4 contributing around 89% and N2O 11%. This highlights the importance of sustainable cultivation in mitigating agricultural emissions that contribute to climate change. Overall, this study demonstrates a robust framework for identifying areas of resource stress or potential synergy under the WEF nexus for policy implementation, to promote climate resilience and sustainable paddy cultivation, to enhance the food security of the country. This model can be adapted to implement similar research work in the future as well.

WaterVol. 18(2)
Rural Development Administration (KR)
Openalex Percentile: Top 96%
Water-Energy-Food Nexus Studies
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