Xiaoli Yang

TL;DR: In this paper, the authors compared three widely used satellite precipitation products with a dense rain gauge network in the Mishui basin (9972 km 2 ) in South China and then optimally merged their simulated hydrologic flows with the semi-distributed Xinanjiang model using the Bayesian model averaging method.

TL;DR: In this article, the effects of climate variability and human activities on runoff were quantified using three methods, namely, multi-regression, hydrologic sensitivity analysis, and hydrological model simulation.

TL;DR: In this article, a comparative analysis on the quality of the TRMM Multi-satellite Precipitation Analysis 3B42V7 and the Integrated Multi-Satellite Retrievals for GPM (IMERG) Final Run version 05 precipitation products and their hydrological utilities in the Yellow River source region (YRSR), a mountainous Alpine region in northwestern China, from April 2014 to December 2016, was conducted.

TL;DR: Wang et al. as discussed by the authors proposed an improved regression-based scheme using principal component regression with residual correction (PCRR) and compared with inverse distance weighting (IDW) and multiple linear regression (MLR) interpolation methods.

TL;DR: A real time traffic light recognition system based on computer vision that improves the safety of drivers who are color-blind and how the RGB component adjustment, thresholding algorithm, and median filter are used to recognize traffic lights is described.