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The drainage basin of the Kalyani river, a tributary of Gomati river has been mapped and delineated using Survey of India toposheets (1:50,000 scale) and remote sensing satellite data. The digitization, slope map preparation and statistical calculations have been carried out with the help of geographical information system (Arc GIS 10). Kalyani a fifth order river exhibits meandering behavior having 2.45 sinuosity index (SI). The Kalyani river basin has about 1235 km2area with NW-SE sloping trend. The total number of first, second, third, and fourth order streams are 373, 71, 12 and 2 respectively, showing dominance of first order streams in the basin. The mean bifurcation ratio (Rb) of the entire basin is 4.8, which indicates that the drainage is not much influenced by geological structures and exhibits dendritic drainage pattern. Relief ratio (Rr) indicates low to medium surface run-off, and low stream power for erosion. The analysis of river bank height ‘r’ (escarpment) and longitudinal profile of the river closely reveals neotectonic activity at some locations in the basin. To prepare a comprehensive watershed development and management plan, it is important to understand the topography and drainage characteristics of the region. 相似文献
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The paper presents a fast automatic approach to solve the inverse resistivity problem, assisted by optimization, which is a non-linear model-fitting technique. The selected inverse problems are ill-posed and the inverse solution is defined by ‘best fit’ in the sense of least-squares. Formulations are presented in a systematic manner for Newton’s method, least squares method and Marquardt’s modification (ridge regression) method based on local linearization of non-linear problem. The convergence of least-squares method and Marquardt’s method, to provide a robust solution, are first tested on a theoretical model and effectiveness of Marquardt’s method is demonstrated, and then two-field apparent resistivity curves from Banda district, India are interpreted and discussed. 相似文献
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Automatic Interpretation of Magnetic Data Using Euler Deconvolution with Nonlinear Background 总被引：1，自引：0，他引：1
Pawan Dewangan T. Ramprasad M. V. Ramana M. Desa B. Shailaja 《Pure and Applied Geophysics》2007,164(11):2359-2372
The voluminous gravity and magnetic data sets demand automatic interpretation techniques like Naudy, Euler and Werner deconvolution.
Of these techniques, the Euler deconvolution has become a popular choice because the method assumes no particular geological
model. However, the conventional approach to solving Euler equation requires tentative values of the structural index preventing
it from being fully automatic and assumes a constant background that can be easily violated if the singular points are close
to each other. We propose a possible solution to these problems by simultaneously estimating the source location, depth and
structural index assuming nonlinear background. The Euler equation is solved in a nonlinear fashion using the optimization
technique like conjugate gradient. This technique is applied to a published synthetic data set where the magnetic anomalies
were modeled for a complex assemblage of simple magnetic bodies. The results for close by singular points are superior to
those obtained by assuming linear background. We also applied the technique to a magnetic data set collected along the western
continental margin of India. The results are in agreement with the regional magnetic interpretation and the bathymetric expressions. 相似文献
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Rainwater plays an important role in scavenging of aerosols and gases from atmosphere, and its chemistry helps to understand the relative contributions of atmospheric pollution sources. The present work is aimed to understand and explain the sources, seasonal patterns and the processes thereof affecting rainwater chemistry in an urban environment of Delhi, India. Rainwater samples (n = 111) collected throughout the year in New Delhi showed alkalinity in general. Eight rainwater samples, collected in late monsoon and winter season, had pH less than 5.6 indicating that Delhi continues to face the prospects of acid rain despite the introduction of compressed natural gas as the clean fuel in city transport. Organic acids could be the possible contributors of acidity in rainwater samples having the fractional acidity (FA) value of 0.174, which is greater than the annual average FA (0.011) and the (Ca2+ + Mg2+ + NH4 +)/(SO4 2? + NO3 ?) ration of more than one. Average acid neutralization factors of cations decrease in the order Ca2+ (1.01) > NH4 + (0.77) > Mg2+ (0.10). However, neutralization by Ca2+ dominates only in summer season as cation-rich dust is transported from the Great Indian Thar Desert to this region by strong summer S–SW winds, while NH4 + dominates in rainwater of other three sampling seasons. Identified dominant sources for soluble ions in rainwater are (1) non-silicate crustal source for carbonates and sulfates of Ca and Mg, (2) emissions from catalytic convertor-fitted vehicles and agriculture fields for NH3 and (3) mixed anthropogenic sources for SO4 2?, NO3 ? and Cl?. Rainwater chemistry showed significant seasonal variations. This could be due to the changes in relative proportions of natural and anthropogenic sources of soluble ions to rainwater. Dominance of anthropogenic sources over crustal sources can result in acidic rains, which can adversely affect the environment and human health in this region. 相似文献
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S K. Govil 《Journal of the Indian Society of Remote Sensing》1982,10(1):1-5
Effort has been made to use a non calibrated, non metric camera for making measurements on a small object, designing the close range photogrammetry system in a manner, to keep the effect of distortions to minimum. 相似文献
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With the growing recognition to myriad forms of current and future threats in the mountain agriculture systems,there is a pressing need to holistically understand the vulnerability of mountain agriculture communities.The study aims to assess the biophysical and social vulnerability of agriculture communities using an indicator-based approach for the state of Uttarakhand,India.A total of 14 indicators were used to capture biophysical vulnerability and 22 for social vulnerability profiles of15285 villages.Vulnerability analysis was done at village level with weights assigned to each indicator using Analytical Hierarchical Process(AHP).The results of the study highlight the presence of very high biophysical vulnerability(0.82 ± 0.10) and high social vulnerability(0.65 ± 0.15) within the state.Based on the results,it was found that incidences of high biophysical vulnerability coincide with presence of intensified agriculture land and absence of dense forest.Higher social vulnerability scores were found in villages with an absence of local institutions(like Self Helping Groups(SHGs)),negligible infrastructure facilities and higher occupational dependence on agriculture.A contrast was observed in the vulnerability scores of villages present in the three different altitudinal zones in the study area,indicating respective vulnerability generating conditions existing in these three zones.Biophysical vulnerability was recorded to be highest in the villages falling in the lower zone and lowest in the upper zone villages;whereas,social vulnerability was found to be highest in the middle zone villages and lowest in lower zone villages.Our study aids policy makers in identifying areas for intervention to expedite agriculture adaptation planning in the state.Additionally,the adaptation programmes in the region need to be more context-specific to accommodate the differential altitudinal vulnerability profiles. 相似文献
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Air temperature and snow cover variability are sensitive indicators of climate change. This study was undertaken to forecast and quantify the potential streamflow response to climate change in the Jhelum River basin. The implications of air temperature trends (+0.11°C/decade) reported for the entire north-west Himalaya for past century and the regional warming (+0.7°C/decade) trends of three observatories analyzed between last two decades were used for future projection of snow cover depletion and stream flow. The streamflow was simulated and validated for the year 2007-2008 using snowmelt runoff model (SRM) based on in-situ temperature and precipitation with remotely sensed snow cover area. The simulation was repeated using higher values of temperature and modified snow cover depletion curves according to the assumed future climate. Early snow cover depletion was observed in the basin in response to warmer climate. The results show that with the increase in air temperature, streamflow pattern of Jhelum will be severely affected. Significant redistribution of streamflow was observed in both the scenarios. Higher discharge was observed during spring-summer months due to early snowmelt contribution with water deficit during monsoon months. Discharge increased by 5% 40% during the months of March to May in 2030 and 2050. The magnitude of impact of air temperature is higher in the scenario-2 based on regional warming. The inferences pertaining to change in future streamflow pattern can facilitate long term decisions and planning concerning hydro-power potential, waterresource management and flood hazard mapping in the region. 相似文献
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Abhay M. Varade Y. D. Khare N. C. Mondal Sarang Muley Pawan Wankawar Priti Raut 《Journal of the Indian Society of Remote Sensing》2013,41(3):619-630
The paper deals with the application of Remote Sensing and Geographical Information System (GIS) technique for a watershed development program. For this study, the WRJ-2 watershed falling under Narkhed and Katol Tahsils of Nagpur district, Maharashtra, India is investigated. Various thematic maps (i.e. drainage, geology, soil, geomorphology and land use/ land cover) have been prepared using the remote sensing and GIS techniques. Initially, differential weightage values are assigned to all the thematic maps as per their runoff characteristics. Subsequently, the maps are integrated in GIS environment to identify potential sites for water conservation measures like gully plugs, earthen check dams, continuous contour trenches, percolation tanks, cement bandhara, afforestration and farm ponds, etc. The study depicts that the GIS technique facilitates integration of thematic maps and thereby helps in an identification of micro-zones each with unique characters in-terms of hydrogeology, thus amenable to specific water conservation techniques. It is therefore concluded that, the GIS technique is suitable for an identification of water conservation structures. 相似文献
10.
P. K. Govil J. E. Sorlie D. Sujatha A. K. Krishna N. N. Murthy K. Rama Mohan 《Environmental Earth Sciences》2012,66(1):121-128
Spatial distribution and temporal trends studies were carried out at Katedan Industrial Development Area (KIDA) near Hyderabad,
capital of Andhra Pradesh state, India under Indo-Norwegian Institutional Cooperation Program, to find out the extent of contamination
in streams and lake sediments from the discharge of industrial effluents. Stream and lake sediment samples were collected
from the five lakes in the study area and connecting water streams. The samples were analyzed by XRF spectrometer for toxic
elements. The studies reveal that the stream sediments with in the KIDA and the impounded Noor Mohammed Lake down stream have
high concentration of some of the toxic elements like chromium, nickel, lead, arsenic, zinc etc. The geology of the area indicates
that the study area consists of residual soil of acidic rocks, which are predominantly of Archaean gneisses and granites having
low to medium concentrations of chromium and nickel. The source of these high concentration of elements like lead 2,300 mg/kg,
copper 1,500 mg/kg, arsenic 500 mg/kg, chromium 500 mg/kg etc. cannot be derived from the surrounding acidic rocks and may
be attributed to the industrial effluents released in the ditches and random dumping of hazardous solid waste. It was observed
that the metal concentrations increased in the streams during the dry season (pre-monsoon period). After the monsoon rains,
the metal concentrations in the streams were reduced by half which may be due to dilution. The eroded sediments are deposited
in the lake where very high concentrations were encountered. Overflowing of the lake will spread the contamination further
downstream. The lake sediments will remain as a major source of contamination by desorption to the water phase regardless
of what happens to the effluent discharge in the KIDA. However, some samples showed enrichment of lead, arsenic and nickel
during post-monsoon, which were collected near the dumpsite due to the leaching of toxic elements from the dump site to the
lakes. Some of the toxic elements like nickel and copper have not shown any dilution but have increased after the rains, which
could be due to the leaching of arsenic from the dumpsite to the lake along with rainwater. Geochemical maps showing the distribution
of heavy/trace elements in streams and lakes are prepared and presented in this paper. Effect of toxic elements on the health
of the residents in the surrounding residential areas is also discussed. 相似文献