Assessing Sustainable Development in Agricultural Irrigation Areas of Sanjiang Plain, Heilongjiang Province: A TOPSIS Model Approach
DOI: https://doi.org/10.62381/ACS.SSFS2025.22
Author(s)
Ye Linrui
Affiliation(s)
Southwest Jiaotong University, Chengdu, Sichuan, China
Abstract
Agriculture is crucial for food security, resource sustainability, and socioeconomic stability, yet research on large-scale urban irrigation areas remains limited compared to macro-level studies. Guided by carbon neutrality, this study develops a Multi-tiered Sustainability Assessment framework with 4 primary and 13 secondary indicators, targeting 37 irrigation areas in the Sanjiang Plain, Heilongjiang. A hybrid AHP-Entropy Weight method enhances indicator prioritization, combining subjective and objective approaches. ANN and ARIMA models predict rainfall and runoff, addressing extreme weather anomalies. The TOPSIS model evaluates 2023 sustainability levels, revealing: (1) Significant spatial heterogeneity, with Jianshanzi (0.5246) and Jiangchuan (0.2947) as the highest and lowest performers; (2) Ecological Sustainability and Surface Irrigation Area as dominant indicators, followed by Per Capita Irrigated Area and Groundwater Supply. This study offers theoretical and practical guidance for optimizing resource allocation and supporting sustainable agricultural policy development.
Keywords
Sanjiang Plain; Agricultural Irrigation Areas; ARIMA; Combined Weighting; TOPSIS Model
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