Water Resource Analytical Method of the Coastal Tidal River Network with Sluice Gates

2014 ◽  
Vol 955-959 ◽  
pp. 3161-3165
Author(s):  
Jiong Zhang ◽  
Jia Zhuang ◽  
Xing Hua Ma
Keyword(s):  
Water Supply ◽  
Water Level ◽  
Water Resource ◽  
Level Line ◽  
River Network ◽  
Tidal River ◽  
Low Flow ◽  
Resource Analysis ◽  
Channel Segment ◽  
Tidal River Network

Regarding the characteristics of water intaking living example, unusual water supply calculation is performed.The water resource analysis methods of the coastal tidal river network with sluice gates are discussed.one and two dimensional coupled mathematical model is used to calculate design low flow and water level line in a tidal cycle of the channel. The design low water level of the channel is determined by correlation analysis. The channel segment between the sluice gates is treated as a reservoir, the storage is controlled and calculated by water level of the sluice gate in each moment.Available water supply is got by water use taking off.

Urban Flood Analysis Model for Plain Tidal River Network Region

2018 ◽  
pp. 525-540
Author(s):  
Nianqiang Zhang ◽  
Na Li ◽  
Jing Wang ◽  
Sheng Chen ◽  
Hailei Huang
Keyword(s):  
River Network ◽  
Tidal River ◽  
Analysis Model ◽  
Urban Flood ◽  
Network Region ◽  
Flood Analysis ◽  
Tidal River Network

Evolution of reversal of the lowest low waters in a tidal river network

2020 ◽  
Vol 585 ◽  
pp. 124701
Author(s):  
Xiaoya Luo ◽  
Wei Zhang ◽  
Shijia Chen ◽  
Xi Feng ◽  
Xiaomei Ji ◽  
...  
Keyword(s):  
River Network ◽  
Tidal River ◽  
Tidal River Network

scholarly journals Modelling of water withdrawal for pollutant flushing in the tidal river network, Pearl River Delta, China

2012 ◽  
Vol 57 (3) ◽  
pp. 576-590 ◽  
Author(s):  
Chun-Ling Liu ◽  
Tao Jiang ◽  
Qiang Zhang ◽  
Shu-Lan Zhu ◽  
Kun Li
Keyword(s):  
Pearl River Delta ◽  
River Network ◽  
River Delta ◽  
Tidal River ◽  
Water Withdrawal ◽  
Pearl River ◽  
Tidal River Network

scholarly journals Modeling of Water Quality in Tidal River Network in Osaka, Japan

2015 ◽  
Vol 13 (3) ◽  
pp. 231-248
Author(s):  
Masayasu IRIE ◽  
Tomo YAMAGUCHI ◽  
Shuzo NISHIDA ◽  
Yusuke NAKATANI
Keyword(s):  
Water Quality ◽  
River Network ◽  
Tidal River ◽  
Tidal River Network

scholarly journals Soil Phosphorus Forms and Profile Distributions in the Tidal River Network Region in the Yellow River Delta Estuary

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Junbao Yu ◽  
Fanzhu Qu ◽  
Huifeng Wu ◽  
Ling Meng ◽  
Siyao Du ◽  
...  
Keyword(s):  
Yellow River ◽  
Yellow River Delta ◽  
River Network ◽  
Tidal River ◽  
The Yellow River ◽  
Organic P ◽  
The Yellow River Delta ◽  
Hydrologic Disturbance ◽  
Predominant Form ◽  
Tidal River Network

Modified Hedley fraction method was used to study the forms and profile distribution in the tidal river network region subjected to rapid deposition and hydrologic disturbance in the Yellow River Delta (YRD) estuary, eastern China. The results showed that the total P (Pt) ranged from 612.1 to 657.8 mg kg−1. Dilute HCl extractable inorganic P (Pi) was the predominant form in all profiles, both as absolute values and as a percentage of total extractedPi. The NaOH extractable organic P (Po) was the predominant form of total extractedPo, while Bicarb-Piand C.HCl-Powere the lowest fractions of total extractedPiandPoin all the P forms. The Resin-P concentrations were high in the top soil layer and decreased with depth. The Pearson correlation matrix indicated that Resin-P, Bicarb-Pi, NaOH-Pi, and C.HCl-Piwere strongly positively correlated with salinity, TOC, Ca, Al, and Fe but negatively correlated with pH. The significant correlation of any studied form of organic P (Bicarb-Po, NaOH-Po, and C.HCl-Po) with geochemical properties were not observed in the study. Duncan multiple-range test indicated that the P forms and distribution heterogeneity in the profiles could be attributed to the influences of vegetation cover and hydrologic disturbance.

The cooperative environmental game model in the Tidal River Network Regions and its empirical research

2012 ◽  
Vol 32 (11) ◽  
pp. 3586-3594 ◽  
Author(s):  
刘红刚 LIU Honggang ◽  
陈新庚 CHEN Xingeng ◽  
彭晓春 PENG Xiaochun
Keyword(s):  
Empirical Research ◽  
River Network ◽  
Tidal River ◽  
Game Model ◽  
Tidal River Network
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