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排序方式: 共有138条查询结果,搜索用时 31 毫秒
41.
J. B. Alam Z. Wadud J. B. Alam J. W. Polak 《International Journal of Environmental Science and Technology》2013,10(5):1075-1082
Transport sector is a major consumer of energy. Concern of energy scarcity and price fluctuations enhanced significance of transport sector in national planning. This paper analyses energy demand for transport services in Bangladesh for different policy scenarios. Aggregate transport demand model is integrated into Long-range Energy Alternatives Planning model to forecast consequences of transport policy on energy demand and economy. Demand for imported energy for transport sector is observed to increase from 1.7 million ton of oil equivalent (Mtoe) in 2005 to 11.8 Mtoe in 2030 for business-as-usual scenario. In increased fuel price scenario, cost of importing fuel for transport sector is projected to increase from 1.37 to more than 14.9 % of Gross Domestic Product during the same period. Country’s energy demand may be reduced by 2 and 4 Mtoe in 2030 by improvement of waterway and railway, respectively. Moreover, by using compressed natural gas in motor vehicles cost of importing fuel may be reduced by US $5 billion annually in 2030 and a further reduction of transport sector energy demand by 9 % can be achieved through eliminating subsidy on fuel. 相似文献
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Md. Mizanur Rahman M. Rafiuddin Md. Mahbub Alam Shoji Kusunoki Akio Kitoh F. Giorgi 《Natural Hazards》2013,69(1):793-807
Summer monsoon rainfall was simulated by a global 20 km-mesh atmospheric general circulation model (AGCM), focusing on the changes in the summer monsoon rainfall of Bangladesh. Calibration and validation of AGCM were performed over Bangladesh for generating summer monsoon rainfall scenarios. The model-produced summer monsoon rainfall was calibrated with a ground-based observational data in Bangladesh during the period 1979–2003. The TRMM 3B43 V6 data are also used for understanding the model performance. The AGCM output obtained through validation process made it confident to be used for near future and future summer monsoon rainfall projection in Bangladesh. In the present-day (1979–2003) climate simulations, the high-resolution AGCM produces the summer monsoon rainfall better as a spatial distribution over SAARC region in comparison with TRMM but magnitude may be different. Summer monsoon rainfall projection for Bangladesh was experimentally obtained for near future and future during the period 2015–2034 and 2075–2099, respectively. This work reveals that summer monsoon rainfall simulated by a high-resolution AGCM is not directly applicable to application purpose. However, acceptable performance was obtained in estimating summer monsoon rainfall over Bangladesh after calibration and validation. This study predicts that in near future, summer monsoon rainfall on an average may decrease about ?0.5 % during the period 2015–2034 and future summer monsoon rainfall may increase about 0.4 % during the period 2075–2099. 相似文献
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O. P. Singh Tariq Masood Ali Khan Fahmida Aktar Majajul Alam Sarker 《Marine Geodesy》2013,36(4):209-218
Maldives, a South Asian small island nation in the northern part of the Indian Ocean is extremely vulnerable to the impacts of Sea Level Rise (SLR) due to its low altitude from the mean sea level. This artricle attempts to estimate the recent rates of SLR in Maldives during different seasons of the year with the help of existing tidal data recorded in the Maldives coast. Corresponding Sea Surface Temperature (SST) trends, utilizing reliable satellite climatology, have also been obtained. The relationships between the SST and mean sea level have been comprehensively investigated. Results show that recent sea level trends in the Maldives coast are very high. At Male, the capital of the Republic of Maldives, the rising rates of Mean Tidal Level (MTL) are: 8.5, 7.6, and 5.8 mm/year during the postmonsoon (October-December), Premonsoon (March-May) and southwest monsoon (June-September) seasons respectively. At Gan, a station very close to the equator, the increasing rate of MTL is maximum during the period from June to September (which is 6.2 mm/year). These rising trends in MTL along the Maldives coast are certainly alarming for this small developing island nation, which is hardly one meter above the mean sea level. Thus there is a need for careful monitoring of future sea level changes in the Maldives coast. The trends presented are based on the available time-series of MTL for the Maldives coast, which are rather short. These trends need not necessarily reflect the long-term scenario. SST in the Maldives coast has also registered significant increasing trend during the period from June to September. There are large seasonal variations in the SST trends at Gan but SST and MTL trends at Male are consistently increasing during all the seasons and the rising rates are very high. The interannual mode of variation is prominent both in SST as well as MTL. Annual profile of MTL along the Maldives coast is bimodal, having two maxima during April and July. The April Mode is by far the dominant one. The SST appears to be the main factor governing the sea level variations along the Maldives coast. The influence of SST and sea level is more near the equatorial region (i.e., at Gan). There is lag of about two months for the maximum influence of SST on the sea level. The correlation coefficient between the smoothed SST and mean tidal level at Gan with lag of two months is as high as ~ +0.8, which is highly significant. The corresponding correlation coefficients at Male with the lags of one and two months are +0.5 and +0.3, respectively. Thus, the important finding of the present work for the Maldives coast is the dominance of SST factor in sea level variation, especially near the region close to the equator. 相似文献
46.
A detailed hydrogeological and hydrochemical study was carried out in Yamuna-Krishni sub-basin which is a part of the vast
central Ganga plain. Groundwater is the major source of water supply for agricultural, domestic and industrial uses. The excess
use of groundwater has resulted in depletion of water levels. The groundwater quality, too, has deteriorated in areas dominated
by industrial activity. This has led to the preparation of a groundwater vulnerability map in relation to contamination. Groundwater
vulnerability maps are valuable derivative maps that show, quantitatively or qualitatively, certain characteristics of the
sub-surface environment that determine vulnerability of groundwater to contamination. The modified DRASTIC method was used
to prepare vulnerability map. The parameters like depth to water, net recharge, aquifer media, soil media, impact of vadose
zone, hydraulic conductivity and land use pattern, owing to its bearing on groundwater regime, were considered to prepare
vulnerability map. The vulnerability index is computed as the sum of the products of weight and rating assigned to each of
the input considered as above. The vulnerability index ranges from 140 to 180, and is classified into four classes i.e. 140–150,
150–160, 160–170 and 170–180 corresponding to low, medium, high and very high vulnerability zones respectively. Using this
index, a groundwater vulnerability potential map was generated which shows that 7%, 40% and 53% of the study area falls in
low, medium and high to very high vulnerability zones respectively. The map, thus generated, can be used as a tool for protection
and management of aquifers from contamination. 相似文献
47.
Natural Hazards - The present study deals with the gender aspects of water, sanitation and hygiene (WaSH) situation in post-cyclone Aila period in Bangladesh. Data were collected using... 相似文献
48.
Qinmin Zheng S Rehman Md Mahbub Alam L M Alhems A Lashin 《Journal of Earth System Science》2017,126(3):36
Understanding the inherent features of wind speed (variability on different time scales) has become critical for assured wind power availability, grid stability, and effective power management. The study utilizes the wavelet, autocorrelation, and FFT (fast Fourier transform) techniques to analyze and assimilate the fluctuating nature of wind speed data collected over a period of 29–42 years at different locations in the Kingdom of Saudi Arabia. The analyses extracted the intrinsic features of wind speed, including the long-term mean wind speed and fluctuations at different time scales (periods), which is critical for meteorological purposes including wind power resource assessment and weather forecasting. The long-term mean wind speed varied between 1.45 m/s at Mecca station and 3.73 m/s at Taif. The annual variation is the largest (±0.97 m/s) at Taif and the smallest (±0.25 m/s) at Mecca. Similarly, the wind speed fluctuation with different periods was also discussed in detail. The spectral characteristics obtained using FFT reveal that Al-Baha, Najran, Taif and Wadi-Al-Dawasser having a sharp peak at a frequency f = 0.00269 (1/day) retain a more regular annual repetition of wind speed than Bisha, Khamis-Mushait, Madinah, Mecca, and Sharourah. Based on the autocorrelation analysis and FFT results, the stations are divided into three groups: (i) having strong annual modulations (Al-Baha, Najran, Taif and Wadi-Al-Dawasser), (ii) having comparable annual and half-yearly modulations (Bisha, Khamis-Mushait, and Mecca) and (iii) having annual modulation moderately prominent (Madinah and Sharourah). 相似文献
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Understanding how rainfall and snowmelt influence baseflow, the groundwater-fed component of streamflow, is essential for sound water resources management. Current approaches to understand the spatial couplings between these processes and baseflow are limited. The most commonly used methods include geochemical tracers and hydrologic models. A key limitation of the first is cost, while the second is limited by the need for simplifying assumptions. This study developed a data-driven approach which leverages satellite Earth observation data and ground-based data to assess the degree to which baseflow is influenced by upstream rainfall and snowmelt in California's Sierra Nevada. The procedure involved: (1) separation of baseflow from streamflow time series using a low-pass filtering technique, (2) quantification of aquifer drainage timescales through baseflow recession analysis, (3) application of time series and information theory methods to identify the areas which have the greatest impacts on baseflow through both rainfall and snowmelt, and (4) characterization of the elevation zones which have a prevailing influence on baseflow. Results suggest that areas which have the strongest impact on baseflow through rainfall and snowmelt are not necessarily the areas which experience the highest annual rates of snowmelt or rainfall; snowmelt occurring in the 3000–3700 m elevation range was found to be the most important driver of baseflow. 相似文献