PIANC Smart Rivers 2022
Reviewing full paper
Topic:
Inland Navigation Structure
Logistics
River System Management
Smart Shipping
Special Sessions
Waterway Infrastructure
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Author
2
Name:
Affiliations:
Region:
Afghanistan
Albania
Algeria
America
Andorra
Angola
Antigua and Barbuda
Argentina
Armenia
Aruba
Australia
Austria
Azerbaijan
Bahamas
Bahrain
Bangladesh
Belarus
Belgium
Belize
Benin
Bermuda
Bhutan
Bolivia
Bosnia and Barbados
Bosnia and Herzegovina
Botswana
Brazil
British Virgin Islands
Brunei
Bulgaria
Burkina Faso
Burundi
Cambodia
Cameroon
Canada
Cape Verde
Cayman Islands
Central African Republic
Chad
Chile
China
China(Hong Kong)
China(Macao)
China(Tai wan)
Colombia
Comoros
Costa Rica
Croatia
Cuba
Cyprus
Czech Republic
Democratic Republic of the Congo
Denmark
Djibouti
Dominica
Dominican Republic
Ecuador
Egypt
El Salvador
Equatorial Guinea
Eritrea
Estonia
Ethiopia
Falkland Islands
Faroe Islands
Fiji
Finland
France
Gabon
Gambia
Georgia
Germany
Ghana
Gibraltar
Greece
Grenada
Guatemala
Guinea
Guinea-Bissau
Guyana
Haiti
Honduras
Hungary
Iceland
India
Indonesia
Iran
Iraq
Ireland
Israel
Italy
Jamaica
Japan
Jordan
Kazakhstan
Kenya
Kiribati
Kuwait
Kyrgyzstan
Laos
Latvia
Lebanon
Lesotho
Liberia
Libya
Liechtenstein
Lithuania
Luxembourg
Macedonia
Madagascar
Malawi
Malaysia
Maldives
Mali
Malta
Mauritania
Mauritius
Mexico
Micronesia
Moldova
Monaco
Mongolia
Montenegro
Morocco
Mozambique
Myanmar
Namibia
Nauru
Nepal
Netherlands
New Zealand
Nicaragua
Niger
Nigeria
North Korea
Norway
Oman
Pakistan
Palau
Palestine
Panama
Papua New Guinea
Paraguay
Peru
Philippines
Poland
Portugal
Puerto Rico
Qatar
Romania
Russia
Rwanda
Saint Kitts and Nevis
Saint Lucia
Saint Vincent And The Grenadine
San Marino
Sao Tome and Principe
Saudi Arabia
Senegal
Serbia
Seychelles
Sierra Leone
Singapore
Slovak Republic
Slovenia
Solomon Islands
Somalia
South Africa
South Korea
Spain
Sri Lanka
Sudan
Suriname
Swaziland
Sweden
Switzerland
Syria
Tajikistan
Tanzania
Thailand
Togo
Tonga
Trinidad and Tobago
Tunisia
Turkey
Turkmenistan
Tuvalu
Uganda
Ukraine
United Arab Emirates
United Kingdom
United States of America
Uruguay
Uzbekistan
Vanuatu
Venezuela
Vietnam
Wallis and Futuna
Western Samoa
Yemen
Zambia
Zimbabwe
Email:
Is corresponding author or not (one only):
Author
3
Name:
Affiliations:
Region:
Afghanistan
Albania
Algeria
America
Andorra
Angola
Antigua and Barbuda
Argentina
Armenia
Aruba
Australia
Austria
Azerbaijan
Bahamas
Bahrain
Bangladesh
Belarus
Belgium
Belize
Benin
Bermuda
Bhutan
Bolivia
Bosnia and Barbados
Bosnia and Herzegovina
Botswana
Brazil
British Virgin Islands
Brunei
Bulgaria
Burkina Faso
Burundi
Cambodia
Cameroon
Canada
Cape Verde
Cayman Islands
Central African Republic
Chad
Chile
China
China(Hong Kong)
China(Macao)
China(Tai wan)
Colombia
Comoros
Costa Rica
Croatia
Cuba
Cyprus
Czech Republic
Democratic Republic of the Congo
Denmark
Djibouti
Dominica
Dominican Republic
Ecuador
Egypt
El Salvador
Equatorial Guinea
Eritrea
Estonia
Ethiopia
Falkland Islands
Faroe Islands
Fiji
Finland
France
Gabon
Gambia
Georgia
Germany
Ghana
Gibraltar
Greece
Grenada
Guatemala
Guinea
Guinea-Bissau
Guyana
Haiti
Honduras
Hungary
Iceland
India
Indonesia
Iran
Iraq
Ireland
Israel
Italy
Jamaica
Japan
Jordan
Kazakhstan
Kenya
Kiribati
Kuwait
Kyrgyzstan
Laos
Latvia
Lebanon
Lesotho
Liberia
Libya
Liechtenstein
Lithuania
Luxembourg
Macedonia
Madagascar
Malawi
Malaysia
Maldives
Mali
Malta
Mauritania
Mauritius
Mexico
Micronesia
Moldova
Monaco
Mongolia
Montenegro
Morocco
Mozambique
Myanmar
Namibia
Nauru
Nepal
Netherlands
New Zealand
Nicaragua
Niger
Nigeria
North Korea
Norway
Oman
Pakistan
Palau
Palestine
Panama
Papua New Guinea
Paraguay
Peru
Philippines
Poland
Portugal
Puerto Rico
Qatar
Romania
Russia
Rwanda
Saint Kitts and Nevis
Saint Lucia
Saint Vincent And The Grenadine
San Marino
Sao Tome and Principe
Saudi Arabia
Senegal
Serbia
Seychelles
Sierra Leone
Singapore
Slovak Republic
Slovenia
Solomon Islands
Somalia
South Africa
South Korea
Spain
Sri Lanka
Sudan
Suriname
Swaziland
Sweden
Switzerland
Syria
Tajikistan
Tanzania
Thailand
Togo
Tonga
Trinidad and Tobago
Tunisia
Turkey
Turkmenistan
Tuvalu
Uganda
Ukraine
United Arab Emirates
United Kingdom
United States of America
Uruguay
Uzbekistan
Vanuatu
Venezuela
Vietnam
Wallis and Futuna
Western Samoa
Yemen
Zambia
Zimbabwe
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Abstract :
*(250~1000 words)
Water level changes in the middle Yangtze River are important for flood control and navigation. Based on the hydrological data of middle Yangtze River from 1986, this paper analyzed the changes of stage-discharge relationship. The trend of water level change is studied by Mann-Kendall analysis method, and the main influencing factors of water level in different reaches at different time scales are studied quantitatively. The results show that: on a long time scale (during several years), the fluctuation of water level caused by the change of river bed scour and water diversion ratio is more obvious. For example, compared with the water level before the completion of TGR, the cumulative decrease range of water level at Shashi station was 1.86m at 6000m3/s and 0.74m at 14000m3/s in 2014, and the water level of the main stream of the Yangtze River increased by 0.14m due to the decrease of diversion ratio of the three outlets of the Jingjiang River. On a short time scale (during several hours), the fluctuation of water level caused by reservoir scheduling and inflow or outflow of anabranches is more obvious. For example, due to unsteady flow from daily regulation of power station, the daily fluctuation range of water level near TGR such as yichang station and Zhicheng station is greater than 0.3m and 0.1-0.3m, respectively. The water level of the lower reaches of Zhicheng is mainly affected by inflow or outflow of anabranches, and the intensity of the influence decreases with the increase of the distance between the reach and the branch. Due to the Yangtze river to the Hanjiang river diversion works, the water level of Shashi station decreased by 0.23~0.29m in middle high water stage and 0.05~0.19m in dry water stage. The maximum water level of Jianli station increased by 3.3m in flood season and 3.1m in dry season due to the inflow of Dongting Lake. The maximum water level of Jiujiang station increased about 3.2m in flood season and 4.6m in dry season due to the inflow of Poyang Lake.
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