IMPLEMENTATION OF REMOTE SENSING DATA FOR FLOODPLAIN MANAGEMENT AND MONITORING FLOODS ON LARGE RIVERS. USING THE EXAMPLE OF THE AMUR RIVER
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Tasks:
Delineate floodplains of the Amur River basin;
Suggest an effective method of satellite monitoring of flood on large rivers using free remote sensing data;
Estimate the scale of catastrophic flood in 2013;
Substantiate conducting of functional zoning for regulating the land use of these areas
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Research purpose:
Suggest ways to use remote sensing data to monitor the floodplains
1) Delineation of the floodplain by calculation on the basis of a digital elevation model (DEM)�����2) Use of geological maps, selection of modern� Quaternary deposits������3) Expert interpretation using detailed topographic maps and remote sensing data
Methods and sources for delineation of floodplains:
Geological maps of Trans Baikal region 1992 1:500000, fragment of the confluence rivers
Digital elevation model of the Amur river basin
Floodplain near the confluence of the Amur and Burea rivers (topographic maps and Landsat-7)
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Delineated floodplain (2010) using space images and topographic maps
Total area of floodplains
about 80300 км2
1914,
1915,
1917,
1923,
1928,
1929,
1933,
1938,
1943,
1945,
1948,
1953,
1956,
1957,
1958,
1959,
1960,
1962,
1963,
1972,
1984,
2007,
2013
Catastrophic floods
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2013 -Photo
Blagoveshchenskii district
Komsomolsk-na-Amure
CHINA
Khabarovsk
Chronological scheme of flood flows in the Amur River basin
(Date, MM-DD)
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Collection of data on flood in 2013
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24.08.2012
21.08.2013
We collected daily data from Space
MODIS
Terra
Aqua
Example - MODIS Terra (mosaic)� 13/06/2013
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The problem of find cloudless space images
Floods in the region are caused by large amount of precipitation
Monitoring of floods in 2013 using remote sensing data
Selection of cloudless pictures, which show the flood peak on sites
Section of the river | Period (MM.DD) high water levels | Period (MM.DD) peak flow (water discharge) | Cloudless days during floods (MM.DD) | Dates (MM.DD) for optimal observation of floods from space |
Zeiskaya HPP- Blagoveshchensk | 08.10-08.24 | 08.05-08.28 (above 10000 cubic m \ c) | 08 (14, 15, 19-21, 23-29) 09 (2-9, 11, 12, 17, 18,21, 24-26, 28-30) | 08 (14, 15, 19-21, 23,24) |
Blagoveshchensk – Estuary Pompeevka | 08.14-08.28 | - | 08 (14, 15, 20, 21, 24-25, 27-29) 09 (2-9, 11, 12, 18, 21, 24-26, 29-30) | 08 (14, 15, 20, 21, 24-25, 27-28) |
Estuary Pompeevka-Khabarovsk | 08.14-09.03 | - | 08 (14, 15, 16, 20, 21, 25-28) 09 (4-13, 15, 16, 18, 22, 24-30) 10 (4-6, 8, 13, 15-18, 22, 23) | 08 (14, 15, 16, 20, 21, 25-28) |
Khabarovsk-Komsomolsk-On-Amur | 09.03-09.20 | 08.24-09.21 (above 40000 cubic m \ c) | 08 (21, 27) 09 (2, 3, 6-10, 13, 15, 16, 18, 24-26,28, 30) 10 (5-8) | 09 (3, 6-10, 13, 15, 16, 18) |
Komsomolsk-On-Amur – Amur estuary | 09.10-09.30 | 09.10-10.02 (above 45000 cubic m \ c) | 08 (20-22) 09 (1-3, 6-8, 10, 14, 16, 19, 22, 28, 30) 10 (1, 6, 10, 18-20) | 09 (10, 14, 16, 19, 22, 28, 30) |
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Analysis of flood using remote sensing data
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Section of the river (Amur, Zeya) | Area of floodplain-2010 (km2) | Volume of floodplain-2010 (km3), calculated from DEM | Area of inundation 2013 (km2) | Difference between floodplains-2010 and inundation-2013 (%) |
Zeyskaya HPP – Selemdzha river | 1071.1 | 12.5 | 514.8 | 48 |
Selemdzha river - Blagoveschensk | 2856.6 | 33.8 | 1776.7 | 62.2 |
Blagoveschensk – Bureya river | 2993 | 27.4 | 1704.6 | 57 |
Bureya river – Taipingou | 1887.7 | 12.5 | 1040.6 | 55.1 |
Taipingou – Songhua river | 2000 | 6.9 | 1328.8 | 66.4 |
Songhua river – Khabarovsk | 3848.9 | 11. 5 | 3758.8 | 97.7 |
Khabarovsk – Komsomolsk–na-Amure | 5947.1 | 25.4 | 9204.7 | 154.8 |
Komsomolsk–na-Amure – Amgun river | 4493.7 | 14.7 | 5988.8 | 133.3 |
Amgun river – Amur estuary | 1606.5 | 6.1 | 2236.7 | 139.2 |
Total | 26704.7 | 150.8 | 27554.5 | 103.2 |
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Defining the parameters of the Amur river floodplains
STREAM
Zeya river
Amur river
Flood plains storage capacity
Code | Volume km3 |
Zeya_7a | 1.43 |
Zeya_7b | 2.86 |
Zeya_8 | 2.87 |
Zeya_9 | 2.54 |
Zeya_10 | 0.72 |
Zeya_11 | 0.87 |
Zeya_12 | 1.1 |
Zeya_13 | 0.11 |
Zeya_14 | 15.12 |
Zeya_15 | 2.05 |
Zeya_16 | 3.55 |
Zeya_17 | 6.03 |
Zeya_18 | 7.09 |
Amur_12a | 18.4 |
Amur_12b | 3.6 |
Amur_13 | 5.39 |
Amur_14a | 10.18 |
Amur_14b | 2.32 |
Amur_15a | 1.74 |
Amur_15b | 5.18 |
Amur_16a | 4.74 |
Amur_16b | 6.78 |
Amur_17 | 0.37 |
Amur_18a | 5.96 |
Amur_18b | 4.55 |
Amur_19 | 9.32 |
Amur_20 | 5.16 |
Amur_21 | 9.87 |
Amur_22 | 4.79 |
Amur_23 | 6.1 |
Total ~ | 150.8 |
46.3 км3
83.9 км3
105 км3
130 км3
Preliminary calculations based on digital elevation model (SRTM)
Usable storage existing Zeya and Bureiskaya HPPs are 42.7 km3
HPPs (8 pc.) proposed to be built (total useful volume 31.87 km3):
~
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R u s s i a
C h i n a
August 21, 2013
Прорыв дамбы в волости Бача почти на полметра снизил уровень воды в Амуре
August 27, 2013
Luobei dyke
210 км2
Suibin dyke
96 км2
Ba Cha dyke
764 км2
3 прорыва дамб "вернули" поймам Амура 5,5 кубокилометров противопаводковой емкости
Сейчас все дамбы в КНР снижают естественную противопаводковую емкость приблизительно на 30 - 40 кубокилометров, а после завершения строительства новых дамб эта цифра увеличится
Floodplain land use near Blagoveshchensk city� (Amurskaya Province)
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MODIS
Border of floodplain
ASTER
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Agricultural land, convenient transportation routes contributed to highly populated coastal riverine areas
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Previous work done: highlighted flood danger zone within the Jewish Autonomous Region
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Delineation infrastructure on floodplain with using remote sensing data
(Landsat, ASTER, ALOS, SPOT, IKONOS….)
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Delineation infrastructure on floodplain
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Flooded areas:
Farmland used (2014-2015) – 13 344 Ha
Farmland unused until 2014 – 6 495 Ha
Ministry of Emergencies (EAO) – 33 067 Ha
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Volume water on floodplain
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Volume water on floodplain
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Съемочная аппаратура - ОЭА "Геотон-Л1"
Полоса захвата, 38км
Номер канала | Разрешение, м | Начало, нм | Конец, нм |
1 | 0.9 | 580 | 800 |
2 | 3 | 450 | 520 |
3 | 3 | 520 | 600 |
4 | 3 | 610 | 680 |
5 | 3 | 720 | 800 |
6 | 3 | 800 | 900 |
Спутник носитель | Ресурс-П №1, Ресурс-П №2 |
Инструменты | ОЭА "Геотон-Л1", ГСА, КШМСА |
Расчетный срок действия, лет | 5-7 |
Дата запуска | Ресурс-П №1 – 2012 г.,�Ресурс-П №2 – 2013 г. |
Высота орбиты (перигей-апогей), км | 475 |
Наклонение орбиты, гр | 97.276 (солнечно-синхронная) |
Период повторного просмотра, сут | 3-6 |
Мост через реку Раздольная (02.09.2015г.)
Results and conclusions
Carried out space monitoring floods (2013) using Geo-information system. It allows to collect, keep and analyze data on the floods and other natural processes occurring in floodplains
Considered basic methods of floodplain delineation. Delineated all floodplains of large river flows in the Amur basin, where it’s necessary to conduct functional zoning and regulate the use of these areas
Basic parameters (characteristics) of floodplains were determined and further scientific research were suggested
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Results and conclusions
Created GIS database including a large number of satellite images, statistical data, topographic and thematic maps, which can be used in modeling and analyzing of various natural phenomena on the rivers of the Amur basin.
Determined specific characteristics of flood stream. Estimated scale of catastrophic flood in 2013 as well as transformation of territories.
Suggested effective method of satellite monitoring of flood on large rivers using free remote sensing data.
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Thank you for attention!
Егидарев Е.Г., Горбатенко Л.В., Тюняткин Д.Г. Оценка зоны затопления поймы реки амур в 2013 г. на основе данных космического мониторинга \\ Вестник Дальневосточного отделения Российской академии наук. 2021. № 6 (220). С. 56-63.
https://www.researchgate.net/publication/357879261_Assessment_of_the_flooded_zone_of_the_Amur_river_floodplain_in_2013_based_on_space_monitoring_data