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1

1973

40

141.50

30004

35

22.23

2.98

163

375

296.84

2

1974

39

73.90

14948

19.86

12.24

2.03

72

160

173.16

3

1975

35

92.14

18629

23.65

14.21

2.01

181

892

192.44

4

1976

36

131.95

32962

33.49

18.49

2.05

240

1434

234.79

5

1977

31

37.00

7536

12.87

6.42

0.51

157

887

77.04

6

1978

55

225.87

48889

72.5

38.82

11.98

739

7430

688.44

7

1979

16

21.05

3913

7.03

5.18

0.23

77

220

57.57

8

1980

46

303.47

44629

58.57

30.94

19.23

1309

5244

790.67

9

1981

33

146.27

20706

29.91

16.35

4.91

427

1356

286.38

10

1982

44

232.91

32459

55.38

33.09

10.18

562

2517

585.65

11

1983

56

155.34

24731

38.6

24.99

5.19

519

2101

754.03

12

1984

39

65.75

11600

16.68

10.31

0.83

209

432

262.15

13

1985

55

195.59

27113

40.28

24.19

6.2

804

3808

1216.26

14

1986

45

59.19

8925

10.34

6.45

0.51

233

725

278.64

15

1987

9

38.24

5807

5.81

3.16

1.8

163

990

186.14

16

1988

46

182.04

24721

31.76

17.14

3.71

765

3102

834.6

17

1989

25

48.62

8281

10.03

6.52

0.78

168

516

---

18

1990

51

85.34

15524

22.03

10.64

1.32

471

2889

---

19

1991

29

24.19

3372

8.1

2.1

0.78

214

369

---

20

1992

20

29.24

4254

5.91

3.34

0.34

140

979

---

21

1993

34

75.05

11765

15.11

7.91

1.37

314

2088

---

22

1994

45

39.07

9627

9.86

5.98

0.66

317

4855

---

23

1995

51

36.91

8874

12.79

7.98

0.88

321

1257

---

24

1996

44

72.20

8827

11.24

6.78

0.09

313

1232

---

25

1997

29

10.21

2284

3.49

1.55

0.03

102

144

---

26

1998

55

121.91

156118

25.23

14.15

3.84

1356

3384

---

27

1999

11

1.83

299000

5.39

4.069

0.005

17

9

---

28

2000

40

63.86

5882

7.84

4.72

0.083

453

977

---

29

2001

21

27.15

3819

4.63

2.89

0.09

201

251

---

30

2002

14

3.86

770

1.1

0.62

0.006

33

36

---

31

2003

54

134.80

17011

23.6

15.03

0.35

964

3201

---

state are affected by flood due to huge discharge of water from rivers of neighbor country Nepal. The normal rainfall in the flood prone region is in the range of 60 cm to 190 cm, out of which more than 80% occur during the southwest monsoon. The rainfall increases from west to east and from south to north. Similar is the pattern of floods, the problem increases from west to east and south to north. Out of the 240.93 lakh hectares geographical area of the State about 73.06 lakh hectares is flood prone. Due to floods,an average of 26.89 lakh hectares is affected annually. According to a rough estimate, the average loss to crops, houses and livestock is to the tune of around Rs. 2000 crores annually. In the recent floods of 2009 in the state, fury of the disaster resulted in a large scale damages of life, property and agricultural crop.

---

3.835

---

4.33

Sl.

Year

Affected

Affected

Affected

Total Affected

Total

Damaged

No.

Districts

Population

Villages

Area

Affected

Houses

Human

Livestock

(in Crore)

9

10

11

1

32

2004

2

14.36

865

33

2005

35

24.51

3652

34

2006

12

4.53

678

35

2007

20

26.03

2634

88

217

---

203

259

---

253

588

---

272

170

3981.27

(in lac hec.)

Agriculure

(in lac)

Land (in lac hec.)

6

7

8

Loss of Living being

Total

Estimated Loss

2

3

---

Flood Impacts in Uttar Pradesh

(in lac)

4

5

2.44 3.59

5.95

---

0.77

---

0.343

Drought

222.

The Bundelkhand and Vindhya regions of the state experience drought almost every year. The

State has been divided into two meteorological sub-divisions, viz. U.P. East, and U.P. West. The recurrence period of highly deficient rainfall in East U.P. has been calculated to be 6 to 8 years whereas in West U.P. it is 10 years. The annual loss due to drought in the State varies depending on the severity of the drought. The year 2007 & 2009 were severe in terms of drought, with loss to crop, livestock and property

assessed at Rs.7540 crores and Rs. 1194 crores respectively.

223.

In the year 2009 -10 due to scanty rainfall, most of the districts of the state have experienced acute

drought conditions. The heavy deficit in precipitation has resulted in extensive damage to agriculture, as

[ 429 ]

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