Impact of Water Projects on River Flow Regimes and Water Quality in Huai River Basin

2009 ◽  
Vol 24 (5) ◽  
pp. 889-908 ◽  
Author(s):  
Yongyong Zhang ◽  
Jun Xia ◽  
Tao Liang ◽  
Quanxi Shao
Keyword(s):  
Water Quality ◽  
River Basin ◽  
River Flow ◽  
Flow Regimes ◽  
Water Projects ◽  
Huai River Basin ◽  
Huai River

scholarly journals Changes of flow regimes and precipitation in Huai River Basin in the last half century

2010 ◽  
Vol 25 (2) ◽  
pp. 246-257 ◽  
Author(s):  
Yongyong Zhang ◽  
Quanxi Shao ◽  
Jun Xia ◽  
Stuart E. Bunn ◽  
Qiting Zuo
Keyword(s):  
River Basin ◽  
Flow Regimes ◽  
Half Century ◽  
Huai River Basin ◽  
Huai River

A hydrochemical framework and water quality assessment of river water in the upper reaches of the Huai River Basin, China

2012 ◽  
Vol 67 (7) ◽  
pp. 2141-2153 ◽  
Author(s):  
Lihu Yang ◽  
Xianfang Song ◽  
Yinghua Zhang ◽  
Ruiqiang Yuan ◽  
Ying Ma ◽  
...  
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
River Water ◽  
River Basin ◽  
Water Quality Assessment ◽  
Huai River Basin ◽  
Huai River ◽  
The Huai River Basin

scholarly journals Preliminary results of water quality assessment using phytoplankton and physicochemical approaches in the Huai River Basin, China

2017 ◽  
Vol 76 (9) ◽  
pp. 2554-2564 ◽  
Author(s):  
Hao Chen ◽  
Qi-ting Zuo ◽  
Yong-yong Zhang
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Quality Assessment ◽  
River Basin ◽  
Water Quality Assessment ◽  
Physicochemical Variables ◽  
Huai River Basin ◽  
Phytoplankton Communities ◽  
Huai River ◽  
The Huai River Basin

Abstract Water pollution has been a significant issue in the Huai River Basin (HRB) of China since the late 1970s. In July and December 2013, two field investigations were carried out at 10 sites along the main streams of the basin. The monitoring indices contained both physicochemical variables and the structure and composition of phytoplankton communities. The correlations between communities and physicochemical variables were analyzed using cluster analysis and redundancy analysis. Moreover, water quality was evaluated using the comprehensive nutrition state index (TLI) and Shannon-Wiener diversity index (H). Results indicated that more phytoplankton species were present in December than in July, but total density was less in December. Phytoplankton communities in the midstream of the Shaying River were affected by the same physicochemical factors throughout the year, but ammonia nitrogen and total phosphorus had the greatest influence on these sites in July and December, respectively. The water pollution status of the sampling sites was much greater in the Shaying River midstream than at other sites. TLI was more suitable than H for assessing water quality in the study area. These results provide valuable information for policy makers and stakeholders in water quality assessment, water ecosystem restoration, and sustainable basin management in the HRB.

scholarly journals Assessing temporal and spatial alterations of flow regimes in the regulated Huai River Basin, China

2015 ◽  
Vol 529 ◽  
pp. 384-397 ◽  
Author(s):  
Yongyong Zhang ◽  
Xiaoyan Zhai ◽  
Quanxi Shao ◽  
Ziqi Yan
Keyword(s):  
River Basin ◽  
Flow Regimes ◽  
Huai River Basin ◽  
Huai River ◽  
Temporal And Spatial

scholarly journals Joint occurrence of water quality indexes in relation to river streamflow in the heavily polluted Huai River Basin, China

2017 ◽  
Vol 17 (6) ◽  
pp. 1602-1615 ◽  
Author(s):  
Shaofei Wu ◽  
Xiang Zhang ◽  
Dunxian She
Keyword(s):  
Water Quality ◽  
River Basin ◽  
Pollution Prevention ◽  
Joint Probability ◽  
Huai River Basin ◽  
Water Quality Variables ◽  
Huai River ◽  
Quality Grade ◽  
Quality Indexes ◽  
Joint Occurrence

Abstract Effective joint management of water quantity and quality of rivers requires a good understanding of the interrelationships between these variables. This study aims to quantitatively evaluate the impact of river streamflow on the joint occurrence of water quality variables in the heavily polluted Huai River Basin (HRB). Using data from three representative stations, joint distributions were set up for two key water quality indexes, CODMn and NH3-N, for three different streamflow scenarios: low, medium and high streamflows, and the joint probabilities of different water quality combinations were calculated. The results showed that there was a significant negative relationship between streamflow and the water quality index, while the water quality indexes were significantly positively correlated. In general, the higher the river streamflow, the lower the joint probability of water quality variables under the three scenarios in each station. It is concluded that, in both the main stream and the tributary, high streamflow scenarios do help to improve the joint probability of water quality combination under a higher water quality grade, compared with a decrease under a lower quality grade. This study is expected to provide scientific references for water quality management and implementation of water pollution prevention in the HRB.

Sign in / Sign up

Export Citation Format

Share Document