| Abstract |
| This study aimed to evaluate the potential influence of cloud seeding experiments on the structural relationships among water quality parameters in streams. Pearson correlation analyses were conducted using March water quality data (2002-2024) from two sites in Gangwon Province, Korea: Bukcheon, located outside the seeding influence zone, and Odaecheon-1, situated within the seeding-affected area. Eighteen parameters were analyzed, including water temperature, dissolved oxygen (DO), biochemical oxygen demand (BOD), chemical oxygen demand (COD), total organic carbon (TOC), suspended solids (SS), total nitrogen (TN), nitrate-nitrogen (NO3--N), total phosphorus (TP), phosphate-phosphorus (PO43--P), dissolved total phosphorus (DTP), chlorophyll-a (Chl-a), and electrical conductivity (EC). At Bukcheon, strong correlations were found between algal growth and nitrogen-based nutrients, including TN-Chl-a (r = 0.74), DTN-Chl-a (r = 0.75), and NO3--N-Chl-a (r = 0.74). A strong correlation between SS and fecal coliform (r = 0.84) also suggests a linkage between particulate matter and microbial contamination, likely driven by runoff. At Odaecheon-1, strong correlations among organic matter and solids were observed, including COD-TOC (r = 0.82), COD-SS (r = 0.83), and TOC-SS (r = 0.85). In addition, high correlations between EC and dissolved nitrogen species, such as EC-DTN (r = 0.87) and EC-NO3--N (r = 0.81), imply potential ionic input associated with cloud seeding. Correlations among chemically related variables (e.g., TN-DTN, DTN-NO3--N, TN-NO3--N, TP-PO43--P, and DTP-PO43--P) remained consistently high at both sites. These findings suggest that artificial cloud seeding may indirectly alter the interaction structure among water quality parameters and highlight the importance of interaction-based assessments in future environmental evaluations. |
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| Key Words |
| 인공증설, 하천 수질, 상관관계 분석, 북천, 오대천1, Bukcheon, Cloud Seeding, Correlation Analysis, Odaecheon-1, Stream Water Quality |
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