Discussion of 'Responses of Streamflow to Climate Variability and Hydraulic Project Construction in Wudaogou Basin, Northeast China' by Xinguo Sun, Yong Peng, Huicheng Zhou, and Xiaoli Zhang

摘要

Water engineering projects such as reservoir infrastructures affect hydrological process and cause streamflow changes (Ahmadi et al. 2014, 2015; Akbari-Alashti et al. 2014; Ashofteh et al. 2015b, c; Bolouri-Yazdeli et al. 2014; Bozorg-Haddad et al. 2014, 2013, 2015; Fallah-Mehdipour et al. 2011; Farhangi et al. 2012; Jahandideh-Tehrani et al. 2015). Some researchers have studied how individual factors change the streamflow (Deitch et al. 2013; Ashofteh et al. 2013b). But it is found that changes of streamflow can be a result of different factors in a basin, such as climate variability and human activities (Hu et al. 2015). Generally, in such studies, various hydrologic models [such as IHACRES (Ashofteh et al. 2013a), artificial neural network (ANN) models (Bozorg-Haddad et al. 2016), the distributed time-variant gain model (DTVGM) (Wang et al. 2009), and support vector machine (SVM) (Aboutalebi et al. 2016)] have been employed to evaluate the impacts of different factors on streamflow variations.