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Comparative Study of the Changes in Climatic Condition and Seasonal Drought in North-Western Part of Bangladesh

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The study examines the long-term and seasonal climatic variations in north-western part of Bangladesh (NWPB). Long-term variation of different climatic parameters reveals that significant increases in temperature are associated with decreasing evaporation which could be attributed to wind speed variation and seasonal variation of temperature. Increase of monsoon rainfall during monsoon period and scarcity or absence of rainfall during dry periods increase the region’s vulnerability to monsoon flood and seasonal drought, respectively. The area witnesses a single peak of rainfall in July during the first half of the study period (1964-1985), whereas the same experiences bimodal peak of rainfall during July and September in the second half of the study period (1986-2007). This may signify the changes of climatic condition in the studied area. Annual variability of rainfall as well as the unpredictable shifting of rainfall periods might be a possible reason for the seasonal drought. The aridity index indicates that the overall dryness of the area has increased during winter season. The study shows that humidity increases at all stations throughout the year. The study also shows that long-term seasonal variation of both surface and groundwater level is also prominent. Gradual decrease of surface water level was observed in Teesta River which might be due to unilateral withdrawal of surface water in the upper riparian. Detailed investigation on hydrometeorology of the study area is required to see whether there is any trend of climate change in the area
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J. Asiat. Soc. Bangladesh, Sci. 44(2): 195-210, December 2018
COMPARATIVE STUDY OF THE CHANGES IN CLIMATIC
CONDITION AND SEASONAL DROUGHT IN NORTH-WESTERN
PART OF BANGLADESH
RIAZ HOSSAIN KHAN1 AND MOHAMMAD SAIFUL ISLAM2*
1Department of Environmental Science, Patuakhali Science and Technology University,
Bangladesh
2Department of Geology, University of Dhaka, Dhaka-1000, Bangladesh
Abstract
The study examines the long-term and seasonal climatic variations in north-western part
of Bangladesh (NWPB). Long-term variation of different climatic parameters reveals that
significant increases in temperature are associated with decreasing evaporation which
could be attributed to wind speed variation and seasonal variation of temperature.
Increase of monsoon rainfall during monsoon period and scarcity or absence of rainfall
during dry periods increase the region’s vulnerability to monsoon flood and seasonal
drought, respectively. The area witnesses a single peak of rainfall in July during the first
half of the study period (1964-1985), whereas the same experiences bimodal peak of
rainfall during July and September in the second half of the study period (1986-2007).
This may signify the changes of climatic condition in the studied area. Annual variability
of rainfall as well as the unpredictable shifting of rainfall periods might be a possible
reason for the seasonal drought. The aridity index indicates that the overall dryness of the
area has increased during winter season. The study shows that humidity increases at all
stations throughout the year. The study also shows that long-term seasonal variation of
both surface and groundwater level is also prominent. Gradual decrease of surface water
level was observed in Teesta River which might be due to unilateral withdrawal of
surface water in the upper riparian. Detailed investigation on hydrometeorology of the
study area is required to see whether there is any trend of climate change in the area.
Key words: Aridity index, Climate change, Hydrometeorology, Seasonal drought, Monsoon flood
Introduction
Geographically Bangladesh extends from 20º34´ N to 26º38´ N and 88º10´ E to 92º41´ E
latitude and longitude, respectively. Climatically the country belongs to sub-tropical
region where monsoon weather prevails throughout the year. Three distinct seasons can
be recognized in Bangladesh from climatic point of view: (i) The dry winter season from
November to February, (ii) the pre-monsoon hot summer season from March to May, and
(iii) the rainy monsoon season which lasts from June to October (Rashid 1991).
*Author for correspondence: Email: msaiful@du.ac.bd
196 Khan and Islam
Bangladesh is one of the most disaster-prone countries in the world. High spatial and
temporal climatic variability, extreme weather events, high population density, high
incidence of poverty and social inequity, poor institutional capacity, inadequate financial
resources, and poor infrastructure have made Bangladesh highly vulnerable to disaster
(Ahmed and Kim 2003).
The average temperature of Bangladesh ranges from 17 to 20.6ºC during winter and 26.9
to 31.1ºC during summer. The average annual rainfall of the country varies from 1,329
mm in the northwest to 4,338 mm in the northeast (Shahid et al. 2005). The gradient of
rainfall from west to east is approximately 9 mm/km. The western part of Bangladesh
experiences an average areal rainfall of approximately 2,044 mm, which is much lower
than that of other parts of the country. The rainfall is also very much seasonal, almost
77% of rainfall occurs during monsoon. Like high annual variability of rainfall,
temperature also fluctuates intensely in the country. In summer, the hottest days
experience temperatures of about 45ºC or even more in the region. Again in the winter
the temperature even falls at 5ºC in some places. Hence, the region experiences the two
extremities that clearly contrast with the climatic condition of rest of the country
(Banglapedia 2003).
Drought is a prolonged, continuous period of dry weather along with abnormal
insufficient rainfall. It occurs when evaporation and transpiration exceed the amount of
precipitation for a reasonable period. Drought causes the earth to dry up and a
considerable hydrologic imbalance resulting water shortages, wells to dry, depletion of
groundwater and soil moisture, stream flow reduction, crops to wither leading to crop
failure and scarcity in fodder for livestock. In the context of global warming, most of the
climatic models project a decrease in precipitation in dry season and an increase during
monsoon in south Asia (Christensen et al. 2007).
The study area is located in the north-western part of Bangladesh and extends from 23º
80' to 26º 38' N latitude and from 88º01' to 89º 70' E longitude (Fig. 1). The climate of
the study area i.e., the NWPB is dominated by tropical monsoons. It is characterized by
high temperature, moderate rainfall with often excessive humidity and fairly marked
seasonal variations. The most striking feature of this climate is the reversal of the wind
circulation between winter and rainy season, which is an integral part of the circulation
system of the Indian subcontinent (Rashid 1991). Drought has become a recurrent natural
phenomenon of NWPB in recent decades.
Prime objectives of the study were to determine the long term and seasonal changing
patterns of various hydrometeorological parameters with time. The partial influences of
Comparative study of the changes in climatic condition 197
changing climatic condition and human intervention for the recurrent drought and flood
in the study area were also emphasized.
Fig 1. Relative location of the stations and the rainfall distribution map in the study area (Modified
after Shamsuzzoha et al. 2011).
Materials and Methods
Time series data of available hydrometeorological parameters were collected and simple
mean (M) was used for this work. Data of mean wind speed, humidity, temperature,
rainfall were divided into two halves (1964 - 1985 and 1986 - 2007) in all stations to
determine and compare the long term seasonal variation. The periods ranging from the
years 1964 to 1985 and 1986 to 2007 hereinafter are referred to as first half and second
half, respectively. Data of temperature and rainfall during winter, monsoon and summer
were prepared to determine the long-term seasonal variation with time. Data for
evaporation, surface water level (SWL) and groundwater level (GWL) were analyzed at
selected time intervals (1968 - 1972, 2003 - 2007), (1995 - 2004) and (1995 - 2004),
198 Khan and Islam
respectively. Aridity index (AI) curves were prepared to determine the variation of
dryness at two selected intervals. Hydrographs from selected rivers were prepared to
determine the long-term variation of SWL. Mean maximum and minimum SWL and
GWL were measured at two intervals (1995 - 1999, 2000 - 2004) to understand the
change of water level at different locations with time. GWL data were collected from
nine observation wells and hydrographs were prepared to determine the GWL fluctuation
at different locations. At last all of these parameters were correlated to understand the
long term change in climatic condition of the study area. All hydrometeorological data
were procured from Bangladesh Meteorological Department (BMD) and Bangladesh
Water Development Board (BWDB).
Results and Discussion
Temperatures: Significant differences in seasonal temperature occur across the NWPB
which is influenced by latitude and monsoon activities (Brammer 1996). Mean minimum
temperature increases throughout the year at all stations. On the other hand, summer and
winter mean maximum temperature decreases except at Ishurdi and Bogra. The highest
increase of both mean maximum and minimum temperatures were found during
monsoon. Both mean maximum and minimum temperatures at all stations during
monsoon period were found higher than the previous years.
Most significant increase was observed at Bogra which rose from 34.67 to 35.52ºC.
Highest temperature was found about 35.67ºC at Rajshahi during the period of 1986 -
2007. The lowest monsoon temperature was found at Rangpur which was about 22.17ºC
during the second half. The fluctuation between the summer mean maximum and
minimum temperature decreased during the year range of 1986 - 2007 compared to that
during the period 1964 - 1985. The mean maximum temperature at all the stations
decreased during summer except that at Ishurdi. The highest summer temperature
increased up to 40.2ºC at Ishurdi and the lowest summer temperature was found at
Rangpur which was 16.44ºC during the second interval. No significant fluctuation of
mean winter temperature was observed at all stations. Highest winter temperature was
found at Bogra which was about 30.49ºC and the lowest was found about 9.36ºC at
Ishurdi (Table 1).
Wind: Wind in NWPB generally shows nearly the opposite direction of movement due to
the differential heating and cooling of landmass and oceans during summer and winter.
During the monsoon, a center of low pressure and monsoon trough develops over the
west-central part of India because of intense surface heat. To replenish the low air
Comparative study of the changes in climatic condition 199
pressure zone air containing high water vapor moves from the southern sea i.e. the Bay of
Bengal which takes its route along the studied area. On the other hand, the high
Himalayan mountain acts as an effective barrier for the airflow during winter period. Air
subsiding beneath westerly jet stream (southern) causes subtropical high pressure and
gives dry out-blowing over the studied area towards south which is mostly devoid of
water vapor (Trewartha 1968). Pre-monsoon summer and autumn are the transition
season which is characterized by lighter wind speed and more complicated flow patterns
(Islam 2003).
Table 1. Mean maximum (Max) and minimum (Min) temperature at selected stations during monsoon, summer
and winter period in the studied area.
Monsoon temperature ( ºC) Summer temperature (ºC) Winter temperature (ºC)
1964-1985 1986-2007 1964-1985 1986-2007 1964-1985 1986-2007
Location
Max Min Max Min Max Min Max Min Max
Min Max Min
Bogra 34.67
22.27
35.52
22.77
38.26
16.96 37.14
17.67
30.23
10.15
30.49 10.9
Dinajpur 35.04
22.28
35.26
22.78
37.95
16.95 36.97
17.67
29.26
10.09
29.18 10.93
Ishurdi 35.16
21.75
35.37
22.52
37.3 19.4 40.2 21.2 30.16
8.52 30.19 9.36
Rajshahi 35.45
22.19
35.67
22.53
39.71
16.82 39.5 16.72
30.22
9.95 30.12 9.37
Rangpur 34.9 22.02
35.01
22.17
36.57
15.7 35.76
16.44
28.72
9.75 28.79 10.15
Source: BMD.
Mean wind speed at Ishurdi, Dinajpur and Rajshahi decreased but it was increasing at
Bogra and Rangpur during second half (1986 - 2007). During the first period (1964 -
1985), mean maximum wind speed was observed at Ishurdi which ranged from 5.37 to
7.48 knots. However, during the second period (1986 - 2007) the wind speed at Ishurdi
was significantly lower than the past. The highest wind speed of about 4.76 knots was
observed in April during the second half of the study period at Rangpur (Fig. 2).
Rainfall: Amount of precipitation in north-western Bangladesh shows spatial and
seasonal variation. In the studied area the highest mean annual rainfall was recorded
about 2338 mm at Rangpur. On the other hand, Dinajpur, Bogra, Ishurdi and Rajshahi
experienced 2083, 1844, 1688 and 1465 mm of rainfall, respectively. From this
observation it can be assumed that the amount of rainfall is gradually decreasing from the
N-E to the S-W part of the studied area which is more or less controlled by the
geographical location of the area based on the proximity of the Himalayan.
The variations of mean annual rainfall at successive years are prominent in the studied
area. The amount of precipitation in different years varied between 1758 and 2877, 1427
and 2969, 1431 and 2243 mm, 1184 and 2097 and 1161 and 1806 mm at Rangpur,
200 Khan and Islam
Dinajpur, Bogra, Ishurdi and Rajshahi, respectively without following any definite
increasing or decreasing trend during the period from 1965 to 2007. The upward and
downward shifting of the amount of rainfall is given in Table 2 (Shamsuzzoha et al.
2011).
Fig. 2. Changes of mean monthly wind speed in the studied area - 2A: Ishurdi; 2B: Bogra;
2C: Dinajpur; 2D: Rangpur and 2E: Rajshahi.
At all the stations the maximum peak distribution of rainfall were observed at July both
in 1964 - 1985 and in 1986 - 2007. Long-term seasonal changes in rainfall show that
rainfall increased in most of the stations during the period between 1986 and 2007
compared to the first time interval especially during monsoon. Exception was observed at
Ishurdi, which shows the opposite result during the months between April and August
(Fig. 3). One important observation was that during the first half the pattern of rainfall
exhibits unimodal peak which was found in July at all the stations but during the second
Comparative study of the changes in climatic condition 201
half pattern of rainfall shows bimodal peak distribution. During the second interval, the
first peak was found in July and another one in September with comparatively lower
values. In Ishurdi the two rainfall peaks were almost equal. These evidences of the
changing trend of rainfall pattern might be considered as a precursor for the shifting of
rainfall peak seasons.
Table 2. Variation (Var.) of mean annual rainfall (mm) and their percentage.
Bogra (1847) Dinajpur (2089)
Rajshahi (1461)
Rangpur (2333) Ishwardi (1681) Year
Var. % Var. % Var. % Var. % Var. %
1970 ↓087 4.67 ↓668 31.90 ↓085 5.76 ↓336 14.37 ↑130 7.68
1975 ↓42 22.49 ↓040 1.89 ↓305 21.00 ↓568 24.27 ↓177 10.48
1980 ↓22 11.8 ↓128 6.17 ↑116 7.88 ↓211 9.12 ↓227 13.39
1985 ↓14 7.6 ↑006 0.25 ↓210 14.49 ↑540 23.11 ↑097 5.82
1990 ↑236 12.71 ↓010 0.44 ↑342 23.51 ↑155 6.65 ↑411 24.39
1995 ↑403 21.75 ↑522 24.90 ↓028 1.97 ↑477 20.49 ↓498 29.69
2000 ↓019 0.94 ↓566 27.07 ↑231 15.69 ↓579 24.76 ↑128 7.57
2005 ↑245 13.24 ↑887 42.42 ↓057 3.84 ↑522 22.30 ↑139 8.22
↓ Rainfall decrease, ↑ Rainfall increase. Source: Shamsuzzoha et al. 2011.
Comparatively higher rainfall during the monsoon period might aggravate the intensity of
monsoon flood in the studied area. On the other hand, relative decrease in rainfall during
dry period along with shifting of higher rainfall period and the uneven distribution of
total annual rainfall in different years might increase the possibility of seasonal drought
in the studied area.
Evaporation: In general, sunshine duration in Bangladesh is decreasing at an alarming
rate. The overall annual decrease for the entire Bangladesh is about 0.36 hours a day in
every 10 years. In general, evaporation rate during winter was comparatively lower than
the rest of the months at all of the stations. Significant lowering of evaporation rate was
observed at Dinajpur and Rajshahi but in Rangpur evaporation slightly increased during
winter compared to the past (Fig. 4). Higher reduction of mean evaporation rate at
Dinajpur and Rajshahi might be correlated with lower wind speed and decrease of mean
maximum temperature at those two regions. Both maximum and minimum winter season
temperature slightly increased in Rangpur which was not singly sufficient to explain the
increasing amount of evaporation rate. Here, the variation of wind speed along with
temperature might play a vital role for the variation of evaporation rate in all of these
202 Khan and Islam
three areas. The reduction of sunshine duration can also be ascribed as one of the
principal reasons for such a decrease in evaporation (IWFM 2009).
Fig. 3. Changes of mean monthly rainfall in the studied area - 3A: Bogra; 3B: Dinajpur;
3C: Ishurdi; 3D: Rajshahi and 3E: Rangpur.
Values of mean monthly evaporation during 1968 - 1972 varied between 48.65 and
147.17 mm, 34.02 and 121.66 mm, and 58.65 and 168.8 mm at Dinajpur, Rangpur and
Rajshahi, respectively. During the period 2003 - 2007, the values ranged between 32 and
109.02 mm, 59.37 and 101.58 mm, and 38.38 and 98.01 mm, respectively.
Aridity index (AI): Aridity Index (AI) can be used to demarcate the dry and wet periods
and also to estimate the intensity of dryness and wetness of an area. AI values below 0.5
signify potential evaporation is two times the rainfall (McIntosh 1972) indicating a region
of dry climate and vice versa. Values of AI at all of the measured stations were below 0.5
in winter and exceeded this limit during the rest of the months. Wet condition increased
Comparative study of the changes in climatic condition 203
significantly during July in all of the regions but the difference declined during August.
In Rangpur, the dryness significantly increased during August compared to the past years
and also during the winter.
Fig. 4. Changes in mean monthly evaporation in the studied area - 4A: Rangpur; 4B: Dinajpur;
4C: Rajshahi.
In Dinajpur, AI value ranged between 0 and 6.19 during the period of 1968 - 1972
whereas the value ranged between 0.17 and 11.96 during 2003 - 2007. At Rangpur, AI
value ranges from 0.01 to 3.93 during the period of 1968 - 1972 and 0.06 to 6.26 during
2003 - 2007. Comparison of AI values in both of the regions showed that the value
slightly reduced in winter especially during November to January. The value increased
during the rest of the months. Most significant increase in AI value was found during
monsoon. At Rajshahi, AI value was found between 0 and 3.44 during the period of
1968 - 1972 whereas the value ranges between 0.04 and 14.51 during 2003 - 2007. The
value increased throughout the year except winter. Significant increase in AI value was
found during monsoon. Here, the highest AI value of about 14.51 was found at Rajshahi
which indicated the higher possibility of flood in that area (Fig. 5).
Comparison of the second half with the first interval showed that the dryness of the area
increased during the winter. Significant increase of AI value during monsoon represents
the higher possibility of flood during those months.
204 Khan and Islam
Humidity: In general, highest values of humidity were observed during monsoon period.
During the period of 1964 - 1985 mean annual humidity in the studied area varied
between the lowest 872 at Isurdi and the highest 962 at Rangpur. On the other hand,
humidity increased up to 969 at Rangpur and 931 at Isurdi and Dinajpur during 1986 -
2007. During the second interval total mean annual humidity increased at all of the
stations. The highest increase was found at Isurdi and the lowest at Rangpur (Fig. 6).
Comparison between the variations of humidity of the two intervals showed that the
mean monthly humidity increased remarkably at most of the stations throughout the year
but relatively lower increases were found during monsoon. In winter, relative increase in
humidity higher than the past might be related to the higher evaporation rate during
winter season in the second half.
Fig. 5. Aridity Index (AI) curves at selected locations in the studied area - 5A: Rangpur;
5B: Dinajpur; 5C: Rajshahi.
Surface water level (SWL): Construction of dam and significant withdrawal of water at
the upstream regions affect the natural flow of transboundary rivers in the NWPB which
create scarcity of surface water. It also tends to create negative impact for the
replenishment of the upper unconfined aquifer in the studied area. Study showed that the
March flows of Ganges River are as much as 57% lower than in the pre-Farakka days
(Treadwell and Akanda 2009). Due to the significant withdrawal of water the
Comparative study of the changes in climatic condition 205
downstream riparian country of Teesta barrage are going to be dried up. Karotoa, Fakirni,
Buri Teesta, Sonavori, Fulkumar and few other smaller rivers and tributaries in this region are
going to be dried up for the same reason (www.probenewsmagazine.com/index).
Fig. 6. Changes in mean monthly humidity at different stations - 6A: Bogra; 6B: Rajshahi;
6C: Rangpur;6D: Dinajpur and 6E: Ishurdi.
Long-term hydrographs from five surface water stations were used to determine the long-
term variation of SWL at the selected rivers. No significant variations of SWL were
observed in Deonair river at Bogra, Ghagoti river at Rangpur and the Korotia river at
Dinajpur. Reduction of SWL was observed in Fakirni river at Rajshahi. Declination of
SWL is more remarkable at Teesta river at Rangpur (Fig. 7). Both of these two rivers
were influenced by the human intervention in the upstream countries.
At Bogra, Rajshahi and Dinajpur the peak of the mean SWL generally started in July
during both of the intervals (1995 - 1999 and 2000 - 2004). But at Rangpur the peak of
mean SWL started in July during the first half but later the peak shifted to June.
206 Khan and Islam
Fig. 7. Long-term changes of surface water level at different rivers in the study area - 7A: Deonair
river at Bogra; 7B: Fakirni river at Rajshahi; 7C: Ghagoti river at Rangpur; 7D: Karatoa
river at Dinajpur and 7E: Teesta river at Rangpur (Source: BWDB).
Comparative study of the changes in climatic condition 207
Correlating with the rainfall intensity during different months it was found that
everywhere the peak of the mean SWL was following the peak of monsoon rainfall. Both
of the mean maximum and minimum SWL at station SW 83 in Rajshahi and SW 294 in
Rangpur decreased throughout the year. At SW 96 in Rangpur, the mean SWL slightly
increased in summer and monsoon months but decreased during the winter. However, the
mean SWL slightly decreased during the monsoon but slightly increased during the
winter and summer period at SW 65 in Bogra. At SW 143 in Dinajpur, both the mean
maximum and minimum SWL increased throughout the year (Table 3).
Table 3. Mean monthly maximum and minimum SWL in m at different year range.
Ranges of mean monthly SWL (m)
1995-1999 2000-2004
Station
name
Location
Max Min Max Min
SW 65 Bogra 11.09 - 15.186 10.7875 - 12.83 11.38 - 14.48 10.97 - 12.8
SW 83 Rajshahi 8.8 - 14.592 8.388 - 13.7 8.36 - 13.425 8.175 - 12.36
SW 96 Rangpur 31.1 - 33.7 30.97 - 31.93 31.16 - 34.19 31.02 - 31.95
SW 143 Dinajpur 26.59 - 31.56 26.52 - 27.62 26.82 - 30.91 26.73 - 27.87
SW 294 Rangpur 27.16 - 29.78 26.7675 - 28.7 26.5 - 29.5 26.202 - 28.5
(Source: BWDB).
At SW 65 in Bogra, the mean minimum SWL was found in April during the two intervals
(1995 - 1999 and 2000 - 2004). The mean maximum SWL during the first interval was
found in September but in second interval it shifted to October. On the other hand, the
mean maximum SWL was found in October for both intervals but the mean minimum
SWL shifted from April to May at SW 83 in Rajshahi. Negligible seasonal shifting of
mean maximum and minimum SWL was observed at SW 96 and SW 294 in Rangpur and
SW 143 in Dinajpur. So, overall seasonal changes of the availability of surface water
might negatively affect the seasonal irrigation water requirements in the NWPB.
Ground water level (GWL): According to UNDP (1982), the studied areas were
categorized as zone A, D, E and F for groundwater development. Dinajpur district i.e.
zone D is characterized by the sediments of mostly coarse detrital piedmont deposits. The
clay and silt layers overlying the permeable surface sediment is thin enough to allow
maximum infiltration of rainfall. Rangpur district i.e zone A consists mostly of coarse
sediments which has the highest transmissivity in the country. The southern districts of
the studied area i.e Bogra, Rajshahi and Ishurdi fall in mostly zone E and F, which
consists of comparatively thicker layers of overlying clay and silt deposits. As a result,
208 Khan and Islam
the rate of infiltration is relatively lower in the southern districts of NWPB (UNDP
1982).
The highest mean monthly GWL was found at DIO-25 in Dinajpur which was 35.72 m
and the lowest was found at Rajshahi in RJ-029 which was 5.02 m during the period 1995
- 1999. During the year range 2003 - 2007, highest GWL 36.07 m was observed at the
same station of Dinajpurand the lowest 5.82 m in RJ-029 at Rajshahi. Mean monthly
GWL showed that its elevation decreased during the second interval (2003 - 2007)
throughout the year at B-067, but slight fall was observed at Bogra in B-030, B-009 and
B-028. On the other hand, DIO-067 at Dinajpur showed continuously decreasing pattern
throughout the year and DIO-025 showed significant reduction during winter and
summer but increased higher during monsoon than the past. At both of the stations of
Rajshahi, GWL elevation was very low. GWL at RJ-032 was continuously declining but
at RJ-029 GWL increased from October to March. GWL was continuously declining
throughout the year except the months between April and July at RA-31. No shifting of
maximum and minimum GWL was observed in B-028, DIO-025 and RJ-029. At B-03,
DIO-067 and RA-031 the minimum GWL was found in April but in all stations
maximum GWL shifted from September to October at the second interval. At B-9,
minimum GWL shifted from April to March and maximum GWL from November to
October. At RJ-32, mean minimum GWL shifted from June to May (Table 4).
Table 4. Mean monthly maximum and minimum GWL in different periods.
Ranges of mean monthly GWL (m)
1995-1999 2000-2004
Station
name
Location
Max Min Max Min
B-030 Bogra 6.78 - 9.4 6.56 - 8.72 6.84 - 8.81 6.58 - 8.4
B-003 Bogra 13.04 - 18.36 12.34 - 17.61 14.05 - 18.1 13.17 - 16.85
B-028 Bogra 10.03 - 13.94 9.76 - 13.08 10.44 - 13.67 10.17 - 12.26
B-009 Bogra 8.97 - 12.99 8.23 - 12.38 9.72 - 14.14 8.84 - 13.43
DIO-25 Dinajpur 33.43 - 35.72 32.87 - 35.41 31.48 - 36.07 30.99 - 35.76
DIO-67 Dinajpur 26.51 - 29.48 27.76 - 30.02 25.18 - 29.25 25.59 - 29.94
RJ-029 Rajshahi 6.29 - 13.1 5.02 - 12.22 6.11 - 13.4 5.82 - 13.16
RJ-032 Rajshahi 9.8 - 11.76 9.62 - 11.63 8.98 - 10.5 8.48 - 10.05
RA-31 Rangpur 28.9 - 31.44 28.57 - 30.54 28.94 - 31.03 28.64 - 30.3
(Source: BWDB).
Comparative study of the changes in climatic condition 209
Conclusion
Significant variation in temperature, atmospheric humidity, evaporation rate and wind
speed were observed during different seasons in the NWPB. Increased rainfall in
monsoon period and contemporaneous decrease in dry period might aggravate the flood
condition during monsoon and drought during the winter period. More changing trend of
rainfall pattern than the previous time clearly indicates the changes of climatic condition.
Higher annual variability along with unpredictable rainfall shifting than the past might be
a reason for the seasonal droughts which badly affect the agricultural production in the
NWPB. Comparatively higher AI values during monsoon and lower values during the
other seasons than the past shows the higher possibility of flood during the wet monsoon
season and drought condition during the dry periods. Remarkable reduction of SWL at
Teesta river in Rangpur and also at the Fakirni river in Rajshahi throughout the year was
observed. Decrease in SWL and seasonal shifting of peaks may badly affect the
agricultural practice. Seasonal shifting of mean maximum GWL at most of the stations
with continuous declining of GWL in a few other stations increases the possibility of
drought. Finally, the changing pattern of the climatic condition in this study necessitates
further vigorous research for better understanding the climatic status in the NWPB.
Acknowledgement
The authors are thankful to Bangladesh Meteorological Department (BMD) and
Bangladesh Water Development Board (BWDB) for providing their valuable
hydrometeorological data to carry out this research.
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Shamsuzzoha, M., Md. Zahurul Islam, Riaz Hossain Khan and M.N.Amin, 2011. Status of climatic
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(Revised copy received on 5.11.2018)
... Besides, a significant amount of studies have been performed to investigate the trend of change of meteorological parameters (wind, solar radiation, rainfall, temperature) with time throughout Bangladesh (Rahman et al., 2015;Sarkar and Sifat, 2016;Yu et al., 2019) and in major cities of Bangladesh, namely, Rajshahi (Khan and Islam, 2018;Rahman and Lateh, 2016;Shasuzzoha et al., 2011;Uddin et al., 2020), Mymensingh (Islam et al., 2016), Rangpur, Ishurdi (Sarkar, 2016), Sylhet (Choudhury et al., 2012;Chowdhury et al., 2012) etc. Karmakar and Hassan (2018), recommended adaptation approaches in response to climate change. However, those studies were focused on investigating only the variation of meteorological parameters and no association with air quality was investigated. ...
... Rajshahi is located in north western part of Bangladesh, where extreme weather condition prevails. Warmest temperature during pre-monsoon and coldest temperature during winter is the distinctive feature of this region as well as this is the hottest and driest region of Bangladesh with very low rainfall event (Khan and Islam, 2018). Such weather type of Rajshahi is the effect of wind flow from the Himalayan mountain barrier due to its location at the windward side of the mountain range (Fujinami et al., 2017). ...
Thesis
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As the cities in Bangladesh get more industrialized, more development projects are undertaken, making the surrounding air more polluted. The air pollution in major cities of Bangladesh has become quite acute in recent years. Among all components, PM2.5 is considered to be one of the major harmful elements. Due to its tiny particle size, it can enter the bloodstreams of respiratory tracts and even can cause death.Therefore, it is crucially needed to understand the particulate matter characteristics, to bring it down to a moderate level. Since, studies showed that, meteorology has significant influence on PM variation, approach has been taken in this study to understand the influence of meteorology on PM variation over the region of Bangladesh. Air quality and meteorological data from Department of Environment (DoE) for the period of 2013-2018 for eleven stations (CAMSs) of Bangladesh are collected. Among eleven existing stations, we perform analysis on eight available stations and the remaining three are discarded due to theirpoor-quality data. We perform annual and seasonal cross correlation analysis to identify major influential parameters on PM variation at different times of the year. We also perform multiple linear regression analysis (MLR) using interaction terms to understand the combined effect of meteorological parameters on PM. Annual cross correlation analysis shows that, wind speed, temperature,solar radiation and relative humidity are effective parameters for PM2.5 and wind speed, relative humidity,rainfall duration andrainfall are effective parameters for PM10variation. Wind speed, relative humidity,temperature, rainfall duration and rainfall amount show negative correlation with PM and solar radiationshow positive correlation with PM. Seasonal analysis shows that, low wind speed causes PM accumulation in winter and post-monsoon, whereas, high wind speed causesPM dilution in pre-monsoon and monsoon. Change in temperature can change boundary layer height and subsequently alter ambient PM. This effect of temperature is found to be effective throughout the year. However, bioaerosol formation in presence of temperature is observed during monsoon. Relative humidity is inversely correlated with PM and the correlation is highest in monsoon for majority of thestations. However, due to its location in coastal area and intrusion of sea aerosol,Chattogram shows weak correlation between relative humidity and PM in monsoon. Solar radiationshows positive correlation with PM throughout the year. The duration of rainfallis found to be more effective in PM removal compared to amount of rainfall. Highest negative correlation between precipitation and PM is observed inSylhet, since it is the region of highest consistent rainfall in Bangladesh. MLR analysis showed that local meteorology could explain up to 17% to 78% PM variation in major cities of Bangladesh. The interaction between temperature, relative humidity and wind speed and their combined effect are found to have major influence on PM for most of the stations. This study gives a comprehensive idea on how much influence meteorological parameters can have on PM variation in different cities in Bangladesh for different seasons. Findings of this study are expected to be helpful in decision making for adoption of pollution control measures and evaluating different climate change mitigation and adaptation approaches.
... Dinajpur is located at a latitude of 25.636574 and a longitude of 88.636322, with maximum and minimum temperatures recorded at 38.62 °C and 25.75 °C, respectively (Khan and Islam 2018). The region's soils fall into three main physiographic categories: Piedmont Plain, Tista Floodplain, and Barind Tract/Terrace (Shirazy et al. 2017). ...
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Precise rainfall forecasting is essential for efficient water resource management and disaster preparedness, especially in areas vulnerable to severe weather conditions. This study presents an integrated approach, combining machine learning techniques and statistical models, to predict rainfall patterns in Bangladesh's southwestern and northwestern regions. To complete this study, the method employs an Evidential Neural Network with the Gaussian Random Fuzzy Numbers (EVNN-GRFN) model, integrated with the Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm and the Autoregressive Moving Average (ARMA) model. Analyzing 41 years of data from four stations, the research demonstrates superior performance of EVNN-GRFN-M2 for Dinajpur and EVNN-GRFN-M1 for other stations. Results show R2 values over 70% and correlation values above 0.737 during calibration and validation, with RMSE and MAPE confirming model robustness. These findings offer valuable insights for water management, agricultural practices, and disaster mitigation in regions prone to extreme weather, enabling more informed decision-making.
... Bangladesh is considered one of the most vulnerable countries to climate-induced hazards and disasters (Ali et al., 2013;Khan and Islam, 2018;Sammonds, 2021). Lack of adequate institutional capacities, infrastructural development, and climate variability results in significant damage to agriculture and fish production in the north-eastern haor region of Bangladesh (Sammonds, 2021;Hossain, 2013;Hossain et al., 2017;Kamruzzaman and Shaw, 2018;Suvra, 2021). ...
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There are a limited number of studies addressing the spatiotemporal variability of premonsoon flash floods and their driving forces in Bangladesh. This study examines longterm trends in temperature, rainfall, and the frequency and magnitude of flash floods in the five most vulnerable haor districts of northeastern Bangladesh. Temperature, rainfall, and surface water level datasets, up to 2018, were collected from the Bangladesh Meteorological Department (BMD) and the Bangladesh Water Development Board (BWDB). Based on the normal distribution of these datasets observed in quantile-quantile (Q-Q) plots, regression models were used to analyze the long-term temperature trends. The models predict a gradual rise in maximum temperature, ranging from 1.06% to 1.94% over decadal periods. Additionally, an average annual rainfall increase of 4.1% at Sreemangal and 2.28% at Sylhet stations are forecasted. Analysis of historical data from the past sixty years shows a relatively lower peak river stage in tidal rivers compared to non-tidal river stations during pre-monsoon months. The frequency of peak surface water levels at six non-tidal and ten tidal river monitoring stations was estimated using Gumbel's probability estimation method. Frequency analysis suggests a high probability of flash floods across most floodplain areas, with a return period of five to ten years, based on flood danger levels established by government agencies. Furthermore, MODIS satellite imagery (with cloud cover <10%) from the peak flood months (March to May) between 2004 and 2017 was analyzed to assess the extent of flash floods in the study area. Geospatial analysis revealed temporal variations in peak flood extents across different locations. While no clear trends were observed in the frequency of flash floods, their magnitude has significantly increased in recent decades, potentially leading to greater losses in agriculture and property. The increased vulnerability to flash floods in the region can be attributed to several factors, including a rise in pre-monsoon heavy rainfall in the upstream hilly regions of Assam and Meghalaya, high sediment loads in Transboundary Rivers, drainage congestion, poorly designed and maintained flood control structures, and the absence of a reliable flash flood warning system.
... Shahid (2009Shahid ( ) used data from (1969Shahid ( -2003 period while in the present study period data was used, which can be the reason for this inconsistency of the present study. Khan and Islam (2018) studied the area and the mean annual rainfall was recorded in a manner (Rangpur>Dinajpur>Bogra>Ishurdi>Rajshahi) which is consistent with the present study. It can be stated from the observation that the amount of rainfall is decreasing from the NE to the SW trajectory in Bangladesh's north-380 western region and this trend is regulated by the Himalayan proximity. ...
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Drought is one of the most significant repercussions of climate change. Worldwide droughts affect food security and ecological productivity. Bangladesh has faced a series of droughts over the past few decades, with significant economic and environmental consequences. The north-western region of Bangladesh is the most affected by drought because of its geographical location and semi-arid climate. With the increasing frequency and severity of droughts, rapid and reliable drought information is essential for agro-ecological production and food security. Using the Standardized Precipitation Index (SPI) and three models (Auto Regressive Moving Average (ARMA), PROPHET, and ARMA-Generalized Autoregressive Conditional Heteroskedasticity (ARMA-GARCH)), we assessed the trends of drought in the five meteorological stations (Bogra, Dinajpur, Ishwardi, Rajshahi, and Rangpur) in the north-western region of Bangladesh for the period 1980–2019. Results show that the SPI trends were significant for Dinajpur and Ishwardi stations but insignificant for the other three stations (Bogra, Rajshahi, and Rangpur). Among the three models, the hybrid model (ARMA-GARCH) outperformed the individual models (ARMA and PROPHET), which suggests that the ARMA-GARCH model could be utilized to predict droughts as it showed higher accuracy than that of individual models. This study provides empirical evidence of (i) the intensification of drier climates in the north-western region of Bangladesh over the 40 years, which has practical implications for introducing climate adaptive practices in agriculture and other livelihood sectors, and (ii) the better performance of a hybrid model compared to individual models in predicting drought, which is of great significance for government decision-making.
... The gradient of rainfall from west to east is approximately 9 mm/km. The western part of Bangladesh experiences an average areal rainfall of approximately 2,044 mm, which is much lower than that of other parts of the country [22]. All the data series are found to be homogeneous using the von Neumann ratio, Standard Normal Homogeneity Test (SNHT), and the Range test [23]. ...
Article
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Recently, the research paradigm has shifted towards prediction, characterization and categorization of droughts for its global impacts on agriculture-based economy. This study aims to parsimoniously forecast the drought phenomena categorized by standardized precipitation index (SPI) for the north-western part of Bangladesh using autoregressive moving average (ARIMA) models. We considered four meteorological stations, namely Bogra, Dinajpur, Ishwardi and Rajshahi which were mostly affected by the droughts. Seasonal effects were most distinct for higher order SPI series with time scales of 12 months and needed to be seasonally differenced. Based on root mean square error (RMSE) and mean absolute error (MAE), the accuracy of the models increased as the order of the SPI series increased over time. There were approximately 60% decrease in RMSE and MAE values for SPI12 series compared to SPI3 series for selected stations. We found as the number of lead times increased the accuracy of the models decreased. A maximum of 6 months lead time was found for SPI12 series at Ishwardi where the fitted model accurately predicted the series. The present study concluded that the researcher should use short term prediction of drought using higher order SPI series for better prediction.
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Bangladesh, located between latitudes 20°34' to 26°38' north and longitudes 88°01' to 92°41' east, is the most densely populated country in the world with 1,252 people per one square kilometre; this is almost three times as dense as its neighbour, India (Ritchie, 2020), other than the island countries like Singapore, and others. So, Bangladesh is not likely to have a large array of wildlife, including both megafauna and macrofauna, and flora. However, because of its very zoo-geographic location in the Indo-Malayan realm of the Oriental Region (Cox, 2001), Bangladesh supports at least three major terrestrial habitats and similar number of aquatic environments. These have allowed the country to have astounding number of wildlife and plants, e.g., about 125 species of Mammals, 718 species of Birds, 2500 species of arthropods and 5700 species of vascular plants. However, it is not satisfied status because already lost few charismatic megafaunas such as, all three species of Asian rhinoceroses, water buffalo, swamp deer, two species of peafowls, swamp partridge, Bhadi Hans (white-winged duck, Khan, 1983a, 1983b, 2003), marsh crocodile, etc. Existing study posits that the country has already lost about 10% of its mammals, 3% birds and 4% of reptile species and an unknown number of amphibians, fishes, and invertebrates as well as plants. Another 14% of animal species are endangered (Khan, 2012). The same may very well be true for the plants.Currently the Forest Department, which has its own forestry policy from as early as 1979, has failed to develop such a policy for wildlife although it is trying to manage the wildlife of the country from the inception of Bangladesh in 1971.The department lacks in right workforce trained in wildlife with proper degree in relevant subjects. A few people that work there does not see progressions in their service carrier.The wildlife conservation policy followed round the world does not conform to the forestry policy of Bangladesh.So, Bangladesh must have a concrete wildlife and its sustainable management policy to conserve the wildlife wealth through creating a proper wildlife department to implement such a policy and save the wildlife from further killing or loss of wildlife through managerial failures or mismanagement.
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Resumo A seca meteorológica é um evento atmosférico temporário e recorrente, originado pela falta de precipitação por um período considerável em uma determinada área. A parte noroeste de Bangladesh enfrenta anomalias de precipitação que podem se transformar em seca meteorológica e, por isso, é necessário investigar a confirmação do surgimento de seca meteorológica nesta área em um futuro próximo. Neste estudo, usando Rede Neural Artificial (ANN), este fenômeno foi investigado para uma região da parte noroeste de Bangladesh que é o distrito de Bogra. Através do estudo de previsão do índice de seca meteorológica - o índice de Precipitação Padronizada (SPI-12 e SPI-24), verificou-se que esta região enfrentará seca meteorológica extrema em 2030. Os dados foram pré-processados através da Transformação Wavelet Discreta (DWT) antes da previsão, o que melhorou a precisão. Os principais desafios para este estudo foram prever a seca por um período de tempo mais longo (quase 16 anos). Rede neural artificial autorregressiva não linear (NAR-NN) juntamente com DWT previu com sucesso isso com uma precisão razoável de valor R > 0,8 e um erro quadrático médio (MSE) ≤ 0,05. O resultado mostra que eventos extremamente secos e úmidos ocorrerão nessa área com muita frequência, afetando o fluxo do riacho, o armazenamento do reservatório e a recarga do lençol freático.
Article
Results of the statistical analyses of daily rainfall at 19 weather stations in Bangladesh, for the months of May through October, for the 35-yr. period 1964-1998 are presented in this paper. Emphasis has been given to the patterns of daily rainfall during the wettest and driest summer monsoon seasons at three stations. The summer monsoon in Bangladesh prevails from early June to mid-October, with an average duration of 110 days in the west to 134 days in the southeast, and an average number of rain days of 60 days in the west to 100 days in the northeast and southeast. Average summer monsoon rainfall ranges from 1200 mm in the west to 3000 mm in the northeast and southeast. During the wettest monsoon season at three stations the periods of consecutive rain days range from 8-10 days in the west to 30-40 days in the northeast. During the driest monsoon season at these stations the periods of consecutive rain days vary from 3-6 days in the west to 20-30 days in the northeast. Frequency of consecutive rain days of various durations at these stations in the 35-yr. period shows that episodes with duration of 1-3 days are most common. However, episodes of much longer consecutive rain days also occur, ranging from 10-19 days in the west to 18-35 days in the southeast, and 20-44 days in the northeast.
The Geography of the Soils of Bangladesh
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