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151.
The difference between the transferred wind speed to 10-m height based on the equivalent neutral wind approach (U n) and the logarithmic approach (U log) is studied using in situ observations from the Indian, Pacific, and Atlantic Oceans, with special emphasis given to the North Indian Ocean. The study included U n ? U log variations with pressure, relative humidity, wind speed, air temperature, and sea surface temperature (SST). U n ? U log variation with respect to air temperature (T a) reveals that U n ? U log is out of phase with air temperature. Further analysis found that U n ? U log is in phase with SST (T s) ? T a and varies between ?1.0 and 1.0 m/s over the North Indian Ocean, while for the rest of the Oceans, it is between ?0.3 and 0.8 m/s. This higher magnitude of U n ? U log over the North Indian Ocean is due to the higher range of T s ? T a (?4 to 6 °C) in the North Indian Ocean. Associated physical processes suggested that the roughness length and friction velocity dependence on the air–sea temperature difference contributes to the U n ? U log difference. The study is further extended to evaluate the behavior of U n ? U log under cyclonic conditions (winds between 15 and 30 m/s), and it was found that the magnitude of Un ? U log varies 0.5–1.5 m/s under the cyclonic wind conditions. The increasing difference with the wind speed is due to the increase in the momentum transfer coefficient with wind speed, which modifies the friction velocity significantly, resulting in U n higher than U log. Thus, under higher wind conditions, U n ? U log can contribute up to half the retrieval error (5 % of the wind speed magnitude) to the satellite validation exercise. 相似文献
152.
Evaluation of groundwater vulnerability in the lower Varuna catchment area,Uttar Pradesh,India using AVI concept 总被引:1,自引:0,他引:1
N. Janardhana Raju Prahlad Ram Wolfgang Gossel 《Journal of the Geological Society of India》2014,83(3):273-278
Groundwater vulnerability assessments calculate the sensitivity of quality of groundwater to an imposed contaminant load which is essential element of the aquifer management plans. Seventy five groundwater samples have been analyzed for different chemical parameters to understand the groundwater quality of the lower Varuna river basin, Uttar Pradesh, India. The intrinsic groundwater vulnerability map of the lower Varuna catchment area in the north of the city of Varanasi (India) shows a high dependency on the depth to groundwater. The topmost layer of alluvial silty clay, protects the groundwater against contamination in this urban area, but the retention time in the unsaturated zone can be estimated to several months only. The input dataset is very sparse i.e. groundwater levels were measured twice (pre- and post-monsoon 2009) and the geological map shows only alluvium as the outcrop. Several boreholes in this area show, that the alluvium has a thickness of about 4 m and below that are fine grained sands. The surface information does not allow the development of a risk map since land use changes very fast and contamination areas can not be identified accurately. The vulnerability maps developed in this study have become important tools for environmental planning and predictive management of the groundwater resources in the fast urbanizing region in the Varanasi area. 相似文献
153.
154.
M. Ramakrishna Reddy N. Janardhana Raju Y. Venkatarami Reddy T. V. K. Reddy 《Environmental Geology》2000,39(3-4):342-352
Intensive application of surface water in command areas of irrigation projects is creating water logging problems, and the
increase of groundwater usage in agriculture, industry and domestic purposes (through indiscriminate sinking of wells) is
causing continuous depletion of water levels, drying up of wells and quality problems. Thus the protect aquifers to yield
water continuously at economical cost, the management of water resources is essential. Integrated geological, hydrological
(surface and groundwater) and geochemical aspects have been studied for the development and management of water resources
in drought-prone Cuddapah district. The main lithological units are crystallines, quartzites, shales and limestones. About
91 000 ha of land in the Cuddapah district is irrigated by canal water. A registered ayacut of about 47 000 ha is irrigated
by 1368 minor irrigation tanks. A total of 503 spring channels are identified in the entire district originating from the
rivers/streams, which has the capacity of irrigating about 8700 ha. The average seasonal rise in groundwater level is 7.32 m
in quartzites, 5.35 m in crystallines, 3.82 m in shales, 2.50 m in limestones and 2.11 m in alluvium. Large quantities of
groundwater are available in the mining areas which can be utilised and managed properly by the irrigation department/cultivators
for the irrigation practices. Groundwater assessment studies revealed that 584 million m3 of groundwater is available for future irrigation in the district. From the chemical analysis, the quality of groundwater
in various rock units is within the permissible limits for irrigation and domestic purposes, but at a few places the specific
conductance, chloride and fluoride contents are high. This may be due to untreated effluents, improper drainage system and/or
the application of fertilisers.
Received: 10 June 1998 · Accepted: 15 November 1998 相似文献
155.
Multiobjective fuzzy optimization for sustainable groundwater management using particle swarm optimization and analytic element method 下载免费PDF全文
Groundwater management involves conflicting objectives as maximization of discharge contradicts the criteria of minimum pumping cost and minimum piping cost. In addition, available data contains uncertainties such as market fluctuations, variations in water levels of wells and variations of ground water policies. A fuzzy model is to be evolved to tackle the uncertainties, and a multiobjective optimization is to be conducted to simultaneously satisfy the contradicting objectives. Towards this end, a multiobjective fuzzy optimization model is evolved. To get at the upper and lower bounds of the individual objectives, particle Swarm optimization (PSO) is adopted. The analytic element method (AEM) is employed to obtain the operating potentio metric head. In this study, a multiobjective fuzzy optimization model considering three conflicting objectives is developed using PSO and AEM methods for obtaining a sustainable groundwater management policy. The developed model is applied to a case study, and it is demonstrated that the compromise solution satisfies all the objectives with adequate levels of satisfaction. Sensitivity analysis is carried out by varying the parameters, and it is shown that the effect of any such variation is quite significant. Copyright © 2015 John Wiley & Sons, Ltd. 相似文献
156.
N. Janardhana Raju Prahlad Ram Sangita Dey 《Journal of the Geological Society of India》2009,73(2):178-192
The lower Varuna River basin in Varanasi district situated in the central Ganga plain is a highly productive agricultural
area, and is also one of the fast growing urban areas in India. The agricultural and urbanization activities have a lot of
impact on the groundwater quality of the study area. The river basin is underlain by Quaternary alluvial sediments consisting
of clay, silt, sand and gravel of various grades. The hydrogeochemical study was undertaken by randomly collecting 75 groundwater
samples from dug wells and hand pumps covering the entire basin in order to understand the sources of dissolved ions, and
to assess the chemical quality of the groundwater through analysis of major ions. Based on the total dissolved solids, two
groundwater samples are considered unsuitable for drinking purpose, but all samples are useful for irrigation. Graphical treatment
of major ion chemistry by Piper diagram helps in identifying hydro-geochemical facies of groundwaters and the dominant hydrochemical
facies is Ca-Mg-HCO3 with appreciable percentage of the water having mixed facies. As per Wilcox’s diagram and US Salinity laboratory classification,
most of the groundwater samples are suitable for irrigation except two samples (No’s 30 and 68) which are unsuitable due to
the presence of high salinity and medium sodium hazard. Irrigation waters classified based on residual sodium carbonate, have
revealed that all groundwaters are in general safe for irrigation except one sample (No. 27), which needs treatment before
use. Permeability index indicates that the groundwater samples are suitable for irrigation purpose.
Although the general quality of groundwater of the lower Varuna River basin is suitable for irrigation purpose, fifty seven
percent of the samples are found having nitrate content more than permissible limit (>45 mg/l) which is not good for human
consumption. Application of N-Fertilizers on agricultural land as crop nutrients along the Varuna River course may be responsible
for nitrate pollution in the groundwater due to leaching by applied irrigation water. The other potential sources of high
nitrate concentration in extreme northern, southern and southwestern parts of study area are poor sewerage and drainage facilities,
leakage of human excreta from very old septic tanks, and sanitary landfills. The high fluoride contamination (>1.5 mg/l) in
some of the samples may be due to the dissolution of micaceous content in the alluvium. Nitrate and fluoride contamination
of groundwater is a serious problem for its domestic use. Hence an immediate protective measure must be put into action in
the study area. 相似文献
157.
M. Parween AL. Ramanathan N. J. Raju 《International Journal of Environmental Science and Technology》2017,14(10):2109-2124
The present study aims at assessing water quality of river Yamuna in one of the world’s most polluted and populated megacities, Delhi. Conductivity, salinity and sodium content were within the permissible categories. Chloride concentration exceeded acceptable levels of drinking water guidelines. Water quality was poor at all locations with respect to heavy metal contamination, especially along the lower section of the Delhi stretch. Heavy metal concentrations were manifold higher than the acceptable limits of drinking water according to the BIS guidelines and reached ~29, 4.9, 10, 31, 27, 83, 7.3 and 27 times higher, respectively, for metals aluminum, copper, chromium, cadmium, iron, lead, manganese and nickel. The Najafgarh and the Shahdara drains are major point sources. Low oxidation–reduction potential reflected high organic loads and traces of eutrophication together with significant levels of nitrate and total phosphate. Discharges from agriculture, sewage and power plants could be important sources of high metal concentration. This calls for urgent measures to be taken for prevention of metal contamination in the river, through both, technology as well as implementation of regulations in order to sustain huge populations in megacities like Delhi. Waste water treatment from point sources needs tremendous improvement on the city. Treatment of the entire waste generated up to the tertiary level is required for minimizing dissolved solids, especially toxic metals, and rendering reuse in agriculture suitable. Treatment plants need proper operation, maintenance, uninterrupted power supply and regular monitoring. Various measure and programmes need to be undertaken to ensure safe reuse of wastewater. 相似文献
158.
Harjeet Kaur Srimanta Gupta Surya Parkash Raju Thapa Rumpa Mandal 《Environmental Earth Sciences》2017,76(9):339
Flood hazards are the most destructive among all natural disasters and are a constant threat to human’s life and property. Effective disaster risk reduction strategies can be improved by geospatial approach in the way of producing information and knowledge that are useful to plan truly effective actions for the protection from floods. This research aims to develop a quantified predictive model of flood susceptibility in the Ghatal and Tamluk subdivision of Medinipur district of West Bengal, India, by means of empirically selected and weighted spatial predictors of flood. The weighted prediction model is used to quantify the spatial associations between individual geospatial factors within the flood inundated study area. Yule’s coefficient and distance distribution analysis are used to assign weights to individual geo-factors, and finally weighted spatial predictors are integrated to a multi-class index overlay analysis to derive the spatially explicit predictive model of flood susceptibility. The resultant susceptibility model reveals that approximately 32.35 and 52.99% of the total study areas (3261.45 km2) are under the category of high-to-moderate flood susceptible zone. Quantitative results of this study could be integrated into the policy process in the formulation of local and national government plans for the future flood mitigation management and also to develop appropriate infrastructure in order to protect the lives and properties of the common people of the Medinipur district. 相似文献
159.
160.
Prantik Mandal R. Narsaiah B. Sairam C. Satyamurty I. P. Raju 《Pure and Applied Geophysics》2006,163(8):1561-1581
We employed layered model joint hypocentral determination (JHD) with station corrections to improve location identification
for the 26 January, 2001 Mw 7.7 Bhuj early and late aftershock sequence. We relocated 999 early aftershocks using the data from a close combined network
(National Geophysical Research Institute, India and Center for Earthquake Research Institute, USA) of 8–18 digital seismographs
during 12–28 February, 2001. Additionally, 350 late aftershocks were also relocated using the data from 4–10 digital seismographs/accelerographs
during August 2002 to December 2004. These precisely relocated aftershocks (error in the epicentral location<30 meter, error
in the focal depth estimation < 50 meter) delineate an east-west trending blind thrust (North Wagad Fault, NWF) dipping (~
45°) southward, about 25 km north of Kachchh main land fault (KMF), as the causative fault for the 2001 Bhuj earthquake. The
aftershock zone is confined to a 60-km long and 40-km wide region lying between the KMF to the south and NWF to the north,
extending from 2 to 45 km depth. Estimated focal depths suggest that the aftershock zone became deeper with the passage of
time. The P- and S-wave station corrections determined from the JHD technique indicate that the larger values (both +ve and
-ve) characterize the central aftershock zone, which is surrounded by the zones of smaller values. The station corrections
vary from −0.9 to +1.1 sec for the P waves and from −0.7 to +1.4 sec for the S waves. The b-value and p-value of the whole
aftershock (2001–2004) sequences of Mw ≥ 3 are estimated to be 0.77 ± 0.02 and 0.99 ± 0.02, respectively. The p-value indicates a smaller value than the global
median of 1.1, suggesting a relatively slow decay of aftershocks, whereas, the relatively lower b-value (less than the average
b-value of 1.0 for stable continental region earthquakes of India) suggests a relatively higher probability for larger earthquakes
in Kachchh in comparison to other stable continental regions of the Indian Peninsula. Further, based on the b-value, mainshock
magnitude and maximum aftershock magnitude, the Bhuj aftershock sequence is categorized as the Mogi's type II sequence, indicating
the region to be of intermediate level of stresses and heterogeneous rocks. It is inferred that the decrease in p-value and
increase in aftershock zone, both spatially as well as depth over the passage of time, suggests that the decay of aftershocks
perhaps could be controlled by visco-elastic creep in the lower crust. 相似文献