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Расчет многолетней величины годового стока

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ДЕПАРТАМЕНТ ВЫСШИХ УЧЕБНЫХ ЗАВЕДЕНИЙ

Волгоградская государственная сельскохозяйственная академия

Кафедра: _____________________

Дисциплина: Гидрология

КОНТРОЛЬНАЯ РАБОТА

Выполнила: студент третьего курса,

заочного отделения, группы __ ЭМЗ, _____

________________________________

Волгоград 2006г.

ВАРИАНТ 0 Река Сура, с. Кадышево, площадь водосбора F=27 900 км2,
залесенность 30%, болот нет, среднее многолетнее количество осадков 682
мм.

Среднемесячные и среднегодовые расходы воды и модули стока

ГодыЯнварьФевральМартАпрельМайИюньИюльАвгустСентябрьОктябрьНоябрьДекабрь
ГодМ л/с*км2Ма
л/с*км212345678910111213141516196447,642,644,969925994,766,860,851,049,7
44,342,51254,484,23196537,941,256,157414871,453,350,146,848,445,155,2102
3,663,54196646,442,914138085,555,647,642,242,343,143,937,283,93,012,6619
6727,633,236,333294,653,944,446,138,440,436,931,467,92,432,47196832,827,
248,976711372,179,045,342,245,251,815,41124,013,72196927,423,020,0636104
68,167,452,445,564,976,873,71053,762,42197054,555,148,8112013777,554,748
,148,952,366,244,71515,414,24197143,840,395,656510458,651,842,036,748,46
0,163,41013,622,88197232,726,448,633367,451,244,626,227,437,248,160,667,
02,401,71197334,332,037,330886,456,656,166,257,866,994,467,979,52,852,40

Бассейн – аналог – р. Сура, г. Пенза.

Средняя многолетняя величина годового стока (норма) Моа=3,5 л/с*км2,
Сv=0,27.

Таблица для определения параметров при подсчете максимального расхода
талых вод

ВариантРека-пунктF1kon1hCvpicscalex100010009000003c900000002001c00000000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Сура-Кадышево20,0200,25800,
401,300,200,8

1. Определить среднюю многолетнюю величину (норму) годового стока при
наличии данных наблюдений.

Исходные данные: среднегодовые расходы воды, рассчитываемый период 10
лет (с 1964 – 1973 гг.).

Qо=picscalex100010009000003a701000003001c0000000000050000000902000000000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,

где Qi – средний годовой стока за i-й год;

n – число лет наблюдений.

Qi=994,3

Qо=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99,43 м3/с (величина среднего
многолетнего стока).

Полученную норму в виде среднего многолетнего расхода воды требуется
выразить через другие характеристики стока: модуль, слой, объем и
коэффициент стока.

Модуль стока
Мо=picscalex1000100090000034701000003001c0000000000050000000902000000000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picscalex1000100090000030901000003001c0000000000050000000902000000000500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=3,56
л/с*км2, где F – площадь водосбора, км2.

Средний многолетний объем стока за год:

Wo=Qo*T=99,43*31,54*106=3 136,022 м3,

где Т – число секунд в году, равное приблизительно 31,54*106 с.

Средний многолетний слой стока
ho=picscalex1000100090000034701000003001c0000000000050000000902000000000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picscalex1000100090000030b01000003001c000000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112,4мм/год

Коэффициент стока
б=picscalex100010009000003ef00000003001c00000000000500000009020000000005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picscalex100010009000003cd00000003001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0,165,

где хо – средняя многолетняя величина осадков в год, мм.

2. Определить коэффициент изменчивости (вариации) Сv годового стока.

Сv=picscalex1000100090000031301000003001c0000000000050000000902000000000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,
гдеpicscalex100010009000003c900000002001c0000000000050000000902000000000
5000000020101000000050000000102ffffff00050000002e0118000000050000000b020
0000000050000000c02400220021200000026060f001a00ffffffff000010000000c0fff
fffa6ffffffe0010000e60100000b00000026060f000c004d61746854797065000060001
c000000fb0220ff0000000000009001010000020402001053796d626f6c0077400000007
70a0a03b7c5c777c0c5c77720c0ca7700003000040000002d01000008000000320ae0013
6010100000073791c000000fb0280fe0000000000009001010000000402001054696d657
3204e657720526f6d616e00b7c5c777c0c5c77720c0ca7700003000040000002d0101000
4000000f001000008000000320a80012e000100000051790a00000026060f000a00fffff
fff0100000000001c000000fb021000070000000000bc02000000cc01020222537973746
56d000000000a0021008a01000000000000000098f31200b9c1c777040000002d0100000
4000000f0010100030000000000 – среднеквадратическое отклонение годовых
расходов от нормы стока.
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picscalex100010009000003e701000004001c0000000000050000000902000000000500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.

Если n66%).

Для выделения лет, входящих в отдельные группы водности, необходимо
суммарные расходы за сезон расположить по убыванию и подсчитать их
фактическую обеспеченность (пример – табл. 4). Так как расчетная
обеспеченность (Р=80%) соответствует маловодной группе, дальнейший
расчет можно производить для лет, входящих в маловодную группу (табл.
5).

Для этого в графу «Суммарный сток» выписать расходы по сезонам,
соответствующие обеспеченностям Р>66%, а в графу «Годы» – записать
годы, соответствующие этим расходам.

Среднемесячные расходы внутри сезона расположить в убывающем порядке с
указанием календарных месяцев, к которым они относятся (табл. 5). Таким
образом, первым окажется расход за наиболее многоводный месяц, последним
– за маловодный месяц.

Для всех лет произвести суммирование расходов отдельно за сезон и за
каждый месяц. Принимая сумму расходов за сезон за 100%, определить
процент каждого месяца А%, входящего в сезон, а в графу «Месяц» записать
наименование того месяца, который повторяется наиболее часто. Если
повторений нет, вписать любой из встречающихся, но так, чтобы каждый
месяц, входящий в сезон, имел свой процент от сезона.

Затем, умножая расчетный расход за сезон, определенный в части
межсезонного распределения стока (табл. 4), на процентную долю каждого
месяца А% (табл.5), вычислить расчетный расход каждого месяца.

Qрас
IV=picscalex1000100090000037e01000003001c0000000000050000000902000000000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 613,53*9,09/100%=55,77 м3/с.

По данным табл. 5 графы «Расчетные расходы по месяцам» на миллиметровке
построить расчетный гидрограф Р-80% изучаемой реки (рис 3).

6. Определить расчетный максимальный расход, талых вод Р=1% при
отсутствии данных гидрометрических наблюдений по формуле:

Qp=MpF=picscalex1000100090000038f02000003001c000000000005000000090200000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, м3/с,

где Qp– расчетный мгновенный максимальный расход талых вод заданной
обеспеченности Р, м3/с;

Mp– модуль максимального расчетного расхода заданной обеспеченности Р,
м3/с*км2;

hp– расчетный слой половодья, см;

F – площадь водосбора, км2;

n– показатель степени редукции зависимости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f(F);

ko – параметр дружности половодья;
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иpicscalex100010009000003c900000002001c000000000
00500000009020000000005000000020101000000050000000102ffffff00050000002e0
118000000050000000b0200000000050000000c022002c0011200000026060f001a00fff
fffff000010000000c0ffffffa6ffffff80010000c60100000b00000026060f000c004d6
1746854797065000050001c000000fb0220ff00000000000090010000000004020010546
96d6573204e657720526f6d616e00b7c5c777c0c5c77720c0ca7700003000040000002d0
1000008000000320ae001fd000100000032791c000000fb0280fe0000000000009001010
000020402001053796d626f6c00774000000076060af4b7c5c777c0c5c77720c0ca77000
03000040000002d01010004000000f001000008000000320a800122000100000064790a0
0000026060f000a00ffffffff0100000000001c000000fb021000070000000000bc02000
000cc0102022253797374656d000000000a0021008a010000000000000000f8f31200b9c
1c777040000002d01000004000000f0010100030000000000– коэффициенты,
учитывающие снижение максимальных расходов рек, зарегулированных озерами
(водохранилищами) и в залесенных и заболоченных бассейнах;
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–
коэффициент, учитывающий неравенство статистических параметров слоя
стока и максимальных расходов при Р=1%;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=1;

F1– дополнительная площадь водосбора, учитывающая снижение редукции,
км2, принимаемая по приложению 3.

ГИДРОГРАФ
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00000000000000000000000000000000000000000000000000000000b4f1120000000000
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00000000000000000000000000000000c602000026060f008205574d4643010000000000
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f4640930288ea00000000000288ea00000000000310000003100000018f3150020c0ca77
c90501ff08000000d93ec777794fc777a0090a505c00000038e31200000000009ce21200
609d0430a0090a506476000800000000250000000c000000050000001b00000010000000
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000000000000000000000000000000000000000000000000000000000000000000000000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Рис. 3Таблица 5

Вычисление внутрисезонного распределения стока

№ п/пГодыСуммарный стокР%Среднемесячные расходы по
убываниюQ1месяцQ2месяцQ3месяцQ4месяцQ5месяц1. За весенний
сезон11967/68462,972,7332V94,6VI36,3IV    21972/7344981,8333V67,4VI48,6I
V    31973/64431,790,9308V86,4VI37,3IV    
Всего:1343,6-973 248,4 122,2     100%%72,42V18,49VI9,09IV    2. За
летне-осенний
сезон11966/67230,872,755,6VII47,6VIII43,1XI42,3X42,2IX21967/68223,281,85
3,9VII46,1IX44,4VIII40,4XI38,4X31972/73186,690,951,2VII44,6VIII37,2XI27,
4X26,2IXВсего:640,6-160,7 138,3 124,7 110,1 106,8 100%%25,09VII21,59VIII
19,47XI17,19X16,67IX3. За зимний
сезон11967/68140,372,748,9III32,8I31,4XII27,2II  21966/67134,381,837,2XI
I36,3III33,2II27,6I  31968/6985,890,927,4I23II20III15,4XII  Всего:360,4-
113,5 92,1 84,6 70,2   100%%31,49III25,55II23,47XII19,48I  Расчетные
расходы по
месяцам IIIIIIIVVVIVIIVIIIIXXXIXII   47,0138,14  47,01 55,77 444,32113,4
4  57,58 49,5649,56 39,46  44,6947,01 Расчетные объемы (млн. м3) по
месяцам  125,99  92,29 125,99144,44 1190,78 293,81 154,31 132,82  128,36
105,75  115,75 125,99Примечание: Чтобы получить объемы стока в млн.
куб., следует расходы умножить: а) для 31-дневного месяца на коэффициент
2,68, б) для 30-дневного месяца -2,59. в) для 28-дневного месяца
-2,42.Параметр ko определяется по данным рек-аналогов, в контрольной
работе ko выписывается из приложения 3. Параметр n1 зависит от
природной зоны, определяется из приложения 3.

h=Kph,

где Kp – ордината аналитической кривой трехпараметрического гамма –
распределения заданной вероятности превышения, определяется по
приложению 2 в зависимости от Cv (приложение 3) при Cs=2 Cv с точностью
до сотых интерполяций между соседними столбцами;

h – средний слой половодья, устанавливается по рекам – аналогам или
интерполяцией, в контрольной работе – по приложению 3.

Коэффициент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,
учитывающий снижение максимального стока рек, зарегулированных
проточными озерами, следует определять по формуле:
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=1/(1+Сf
оз),

где С – коэффициент, принимаемый в зависимости от величины среднего
многолетнего слоя весеннего стока h;

fоз – средневзвешенная озерность.

Так как в расчетных водосборах нет проточных озер, а расположенная вне
главного русла fоз

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