Spatial Estimation of Average Daily Precipitation Using Multiple Linear Regression by Using Topographic and Wind Speed Variables in Tropical Climate

Abstract

Complex topography and wind characteristics play important roles in rising air masses and in daily spatial distribution of the precipitations in complex region. As a result, its spatial discontinuity and behaviour in complex areas can affect the spatial distribution of precipitation. In this work, a two-fold concept was used to consider both spatial discontinuity and topographic and wind speed in average daily spatial precipitation estimation using Inverse Distance Weighting (IDW) and Multiple Linear Regression (MLR) in tropical climates. First, wet and dry days were identified by the two methods. Then the two models based on MLR (Model 1 and Model 2) were applied on wet days to estimate the precipitation using selected predictor variables. The models were applied for month wise, season wise and year wise daily averages separately during the study period. The study reveals that, Model 1 has been found to be the best in terms of categorical statistics, R2 values, bias and special distribution patterns. However, it was found that sets of different predictor variables dominates in different months, seasons and years. Furthermore, necessities of other data for further enhancement of the results were suggested.

A New Scenario-Based Approach for Water Quality and Environmental Impact Assessment Due to Mining Activities

“…Velocity (v) of reach was calculated by [19]: Discharge for overland flow at the mining site was calculated using the widely used SCS curve number method [25]. The discharge was calculated for both wet and dry seasons to see their effect on pollution load.…”

“…The elevation ranges from 4 m to 2095 m, and the slope varies between 1 and 33 degrees (Figure 1). The climate is tropical and humid, with an average temperature ranging from 20 • C to 30 • C. The period from November to January receives maximum rainfall, while June and July are the driest months [19]. The average annual rainfall of the area is 3017.84 mm, while the average daily annual wind speed is 1.50 m/s.…”

Upscaling of Surface Water and Groundwater Interactions in Hyporheic Zone from Local to Regional Scale

“…The relationship is affected primarily by the spatio-temporal measurements of precipitation due to low-density gauge stations. This uncertainty is addressed in the literature using pixel-based spatio-temporal estimation coupled with geostatistical techniques and factors affecting precipitation [63][64][65]. Additionally, 2D and 3D geophysical data are interpolated using several interpolation methods such as modeldriven or based on wave-equation, and data-driven or based on signal processing [66].…”