Characterization of Precipitation in the Subdivisions of the Mahanadi River Basin, India
Ramgopal T Sahu*, Mani Kant Verma and Ishtiyaq Ahmad
Civil Engineering Department, National Institute of Technology - Raipur, Chhattisgarh, India
*Corresponding Author: Ramgopal T Sahu, Civil Engineering Department, National Institute of Technology - Raipur, Chhattisgarh, India.
August 31, 2021; Published: November 30, 2021
Purpose: To study the homogeneity and precipitation characterization of the subdivisions of the Mahanadi River basin, India.
Methodology/Approach: Precipitation characterization was studied using spatial pattern analysis (Eigen-based technique), approaching principal component analysis and keeping three equal timeslot segments for better understanding change. Homogeneity characterization of the subdivisions is accomplished using L-moment and probability weighted moments (PWMs) based heterogeneity measures. Divisive hierarchical cluster analysis for effective partitioning of the subdivisions.
Findings: Heterogeneity (H1) assessment; Upper subdivision U1 (42sites) with H1 - 1.74 (possibly heterogeneous), Middle subdivision M1 (76sites) with H1 - 0.80 (acceptably homogeneous), Two splits of lower subdivision (1) L1 (45sites) with H1 - 0.68 (acceptably homogeneous), (2) L2 (34sites) with H1 - 1.02 (acceptably homogeneous), All the subdivisions were heterogeneous to each other during all timeslot segments with p-value < 0.021, the lower subdivision observed similarity during time slot 1940-1978 and 1979-2017 with p-value - 0.349. The iqr width of the middle subdivision does not change significantly but has a dropping trend suggesting a decrease in precipitation magnitude, and the measure of spread has significantly reduced with some outliers suggesting non-uniformity during segment 3. The lower subdivision with longest rainy months May-October, while November month observed a decreasing magnitude with time.
Implications: The characterized precipitation of the subdivisions identified has separate applications and uses. In areas with known precipitation variability, future precipitation forecasting can be abridged for water resource management. Scheduling different crops, agriculture planning, rain-fed and dry farming, and farming calendars are various activities for known precipitation regimes.
Importance: The findings are applicable to water resource planning and management in both a practical and scientific manner.
Keywords: Characterization; DIANA; Divisive Analysis; Eigenvalue; Precipitation; Spatial Pattern
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