Htoo Ou Ou Kyaw. Development of multi-purpose water diagram using water quality and land use type data for Mae Kha Canal. Master's Degree(Environmental Science). Chiang Mai University. Library. : Chiang Mai University, 2569.
Development of multi-purpose water diagram using water quality and land use type data for Mae Kha Canal
Abstract:
Thesis TitleDevelopment of Multi-purpose Water Diagram Using WaterQuality and Land Use Type Data for Mae Kha Canal,Chiang Mai Province, ThailandAuthorMs. Htoo Ou Ou KyawDegreeMaster of Science (Environmental Science) Advisory Committee Asst.Prof.Dr. Chitchol PhalarakshAdvisorLect.Dr.Nattawut SareeinCo-advisorABSTRACTThis research investigates the declining water quality of Chiang Mai's Mae Kha Canal, a historically valuable waterway that is currently endangered by fast development and insufficient waste management. Water quality was investigated at nine sample locations along the canal throughout three seasons which included cold-dry (February), hot-dry (April), and wet (August) using important physicochemical parameters such as dissolved oxygen (DO), biochemical oxygen demand (BOD), pH, conductivity, and nutrient levels. A Chemical Index (CI) was established to identify pollution levels, finding significant deterioration, particularly in urban sections (MK4-MK6) with low DO (<2 mg/L) and high BOD (>40 mg/L), indicating serious organic pollution. The hot-dry season had the most severe circumstances due to lower flow and high temperatures, while the rainy season displayed a "first flush" effect, with rainwater runoff washing contaminants into the canal, even increasing pollution at upstream locations. Using GIS and remote sensing, a multi-purpose water diagram was created to graphically combine land use, seasonal dynamics, and pollution hotspots, highlighting the relationship between urban density and impervious surfaces and diminishing water quality. The findings emphasize the "urban stream syndrome," in which urbanization exceeds the canal's natural self-purification capability. This study offers policymakers with practical information, highlighting the need of green infrastructure, enhanced wastewater treatment, and seasonal monitoring. By merging scientific analysis with spatial technology, this study offers a replicable model for sustainable urban water management in rapidly developing regions.