2021
DOI: 10.1061/(asce)he.1943-5584.0002053
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Discussion of “Impacts of Streamflow and Topographic Changes on Water Level during the Dry Season of Poyang Lake, China” by Feng Huang, Xunzhou Chunyu, Yuankun Wang, Xiao Zhang, Bao Qian, Dayong Zhao, and Ziqiang Xia

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“…However, they require a long and continuous data record and specific statistical assumptions on the data used and are unable to distinguish between correlation and causation (Slater et al, 2021). The second group relies on modelling experiments to quantitatively assess the effects of different drivers on streamflow using a variety of physically‐based models such as the Soil and Water Assessment Tool (Bieger, Hörmann, & Fohrer, 2014; Nauman, Zulkafli, Bin Ghazali, & Yusuf, 2019), MIKE (Ramteke, Singh, & Chatterjee, 2020), variable infiltration capacity (VIC; Wang, Shi, Chen, & Li, 2019) and the topography based hydrological model (Ashofteh, 2021). By comparing the flow regime metrics before and after the construction of the dams, the effects of these dams can be quantitatively attributed.…”
Section: Introductionmentioning
confidence: 99%
“…However, they require a long and continuous data record and specific statistical assumptions on the data used and are unable to distinguish between correlation and causation (Slater et al, 2021). The second group relies on modelling experiments to quantitatively assess the effects of different drivers on streamflow using a variety of physically‐based models such as the Soil and Water Assessment Tool (Bieger, Hörmann, & Fohrer, 2014; Nauman, Zulkafli, Bin Ghazali, & Yusuf, 2019), MIKE (Ramteke, Singh, & Chatterjee, 2020), variable infiltration capacity (VIC; Wang, Shi, Chen, & Li, 2019) and the topography based hydrological model (Ashofteh, 2021). By comparing the flow regime metrics before and after the construction of the dams, the effects of these dams can be quantitatively attributed.…”
Section: Introductionmentioning
confidence: 99%