Water 2019, 11(1), 178; https://doi.org/10.3390/w11010178
CMADS-Driven Simulation and Analysis of Reservoir Impacts on the Streamflow with a Simple Statistical Approach
Ningpeng Dong 1
, Mingxiang Yang 2,*, Xianyong Meng 3,4,*, Xuan Liu 5, Zhaokai Wang 6, Hao Wang 2 and Chuanguo Yang 1
, Mingxiang Yang 2,*, Xianyong Meng 3,4,*, Xuan Liu 5, Zhaokai Wang 6, Hao Wang 2 and Chuanguo Yang 1
1
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China
2
Department of Water Resources, China Institute of Water Resource and Hydropower Research, Beijing 100044, China
3
College of Resources and Environmental Science, China Agricultural University (CAU), Beijing 100094, China
4
Department of Civil Engineering, The University of Hong Kong (HKU), Pokfulam 999077, Hong Kong, China
5
College of Civil Engineering, Tianjin University, Tianjin 300072, China
6
College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
*
Authors to whom correspondence should be addressed.
Received: 10 December 2018 / Revised: 10 January 2019 / Accepted: 17 January 2019 / Published: 21 January 2019
(This article belongs to the Special Issue Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia)
Abstract
The reservoir operation is a notable source of uncertainty in the natural streamflow and it should be represented in hydrological modelling to quantify the reservoir impact for more effective hydrological forecasting. While many researches focused on the effect of large reservoirs only, this study developed an online reservoir module where the small reservoirs were aggregated into one representative reservoir by employing a statistical approach. The module was then integrated into the coupled Noah Land Surface Model and Hydrologic Model System (Noah LSM-HMS) for a quantitative assessment of the impact of both large and small reservoirs on the streamflow in the upper Gan river basin, China. The Noah LSM-HMS was driven by the China Meteorological Assimilation Driving Datasets for the Soil and Water Assessment Tool (SWAT) model (CMADS) with a very good performance and a Nash-Sutcliffe coefficient of efficiency (NSE) of 0.89, which proved to be more effective than the reanalysis data from the National Centers for Environmental Prediction (NCEP) over China. The simulation results of the integrated model indicate that the proposed reservoir module can acceptably depict the temporal variation in the water storage of both large and small reservoirs. Simulation results indicate that streamflow is increased in dry seasons and decreased in wet seasons, and large and small reservoirs can have equally large effects on the streamflow. With the integration of the reservoir module, the performance of the original model is improved at a significant level of 5%. View Full-TextKeywords:
reservoirs; operation rule; Noah LSM-HMS; capacity distribution; aggregated reservoir; CMADS
▼
Figures
Figure 1
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
Share & Cite This Article
MDPI and ACS Style
Dong, N.; Yang, M.; Meng, X.; Liu, X.; Wang, Z.; Wang, H.; Yang, C. CMADS-Driven Simulation and Analysis of Reservoir Impacts on the Streamflow with a Simple Statistical Approach. Water 2019, 11, 178.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.