A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Mohana, P.
- Delineating Groundwater Potential Zones in Thurinjapuram Watershed Using Geospatial Techniques
Authors
1 Department of Mathematics, Sathyabama University, Chennai-119, IN
2 Centre for Remote sensing and Geo informatics, Sathyabama University, Chennai-119, IN
Source
Indian Journal of Science and Technology, Vol 4, No 11 (2011), Pagination: 1470-1476Abstract
The search for new groundwater resource is essential to sustained economic development in arid environment. The purpose of this study was to investigate new water sources using remote sensing and GIS methods. The thematic layers considered in this study are Lithology, Geomorphology, Drainage, Soil, Lineament, Land use and surface water body, which were prepared using the IRS-P6 LISS-III satellite imagery and conventional data. In addition, soil and drainage maps were digitized from published maps. The thematic layers were finally integrated using ArcGIS V 9.2 software to yield a groundwater potential zone map of the study area. Thus, three different groundwater potential zones were identified, namely 'good', 'moderate' and 'poor'. This GIS based output result was validated using water level depth data collected from Institute of Water studies, PWD. Finally, it is concluded that the RS and GIS techniques are very efficient and useful for the identification of groundwater potential zones.Keywords
Groundwater, GIS, Remote Sensing, ThurinjapuramReferences
- Boutt DF, David WH, Bryan CP and David TL (2001) Identifying potential land use-derived solute sources to stream baseflow using ground water models and GIS. Ground Water. 39, 24–34.
- Chatterjee RS and Bhattacharya AK (1995) Delineation of the drainage pattern of a coal basin related inference using satellite remote sensing techniques. Asia Pacif ic Remote Sensing J. 1, 107–114.
- El-kadi AI, Oloufa AA, Eltahan AA and Malic HU (1994) Use of a geographic information system in site-specific groundwater modeling. Ground Water. 32, 617–625.
- Goyal S, Bharawadaj RS and Jugran DK (1999) Multicriteria analysis using GIS for groundwater resource evaluation in Rawasen and Pilli watershed, U.P. http://www.GISdevelopment.net. Cited 17 Dec 2003.
- Jacob N, Saibaba J and Prasada RP (1999) Groundwater modeling for sustainable development using GIS techniques. Preconf. Geoinformetis Beyond 2000, Dehradun, India. pp: 264–267.
- Jaiswal RK, Mukherjee S, Krishnamurthy J and Saxena R (2003) Role of remote sensing and GIS techniques for generation of groundwater prospect zones towards rural development—An approach. Intl. J. Remote Sensing. 24, 993–1008.
- Krishnamurthy JN, Venkatesa K, Jayaraman V and Manivel M (1996) An approach to demarcate ground water potential zones through remote sensing and geographical information system. Intl. J. Remote Sensing. 17, 1867–1884.
- Mohammed A, Balasubramanian A, Kondoh A, Rokhmatuloh R and Mustafa AJ (2003) Hydrogeomorphological mapping using remote sensing techniques for water resource management around palaeochannels, geoscience and remote sensing symposium,IGARSS–APOS;03. In: Proc. IEEE Intl. Toulouse, France. 5, 3317–3319.
- Murthy KSR (2000) Groundwater potential in a semiarid region of Andhra Pradesh: A geographical information system approach. Intl. J. Remote Sensing. 21(9), 1867–1884.
- Nagarajan M and Sujit Singh (2009) Assessment of Groundwater Potential Zones using GIS Technique. J. Indian Soc. Remote Sens. (March 2009) 37, 69–77.
- Obi R, Chandra GP, Mouli K, Srivastav SK, Srinivas CV and Maji AK (2000) Evaluation of groundwater potential zones using remote sensing data—a case study of Gaimukh watershed, Bhandara district,Maharashtra. J. Indian Soc. & Remote Sensing. 28(1), 19–32.
- Pratap K, Ravindran KV and Prabakaran B (2000) Groundwater prospect zoning using remote sensing and geographical information system: A case study in Dala–Renukoot Area, Sonbhadra District Uttar Pradesh. J. Indian Soci. & Remote Sensing. 28(4), 249–263.
- Rokade VM, Kundal P and Joshi AK (2007) Groundwater potential modeling through remote sensing and GIS: A case study from Rajura Taluka, Chandrapur District, Maharashtra. J. Geol. Soc. 69, 943–948.
- Saraf A and Choudhary PR (1998) Integrated remote sensing and GIS for ground water exploration and identification of artificial recharge site. Intl. J. Remote Sensing. 19, 1825–1841.
- Saraf A and Choudhary PR (1998) Integrated remote sensing and GIS for ground water exploration and identification of artificial recharge site. Intl. J. Remote Sensing 19, 1825–1841.
- Shahid S and Nath SK (1999) GIS integration of remote sensing and electrical sounding data for hydrogeological exploration. J. Spatial Hydrol. 2(1), 1–12.
- Shahid S, Nath SK, and Roy J (2000) Ground water potential modeling in soft rock area using GIS. J. Remote Sensing. 21, 1919–1924.
- Srinivasa RY and Jugran KD (2003) Delineation of groundwater potential zones and zones of groundwater quality suitable for domestic purposes using remote sensing and GIS. Hydrogeol. Sci. J. 48, 821–833.
- Teeuw RM (1995) Groundwater exploration using remote sensing and a low-cost geographical information system. Hydrogeol. J. 3, 21–30.
- HBRA-Hedge Way for Black Hole Attack in Mobile Ad-Hoc Networks
Authors
1 Department of Computer Science, Bharathidasan University, Trichy-23, IN
Source
Wireless Communication, Vol 3, No 14 (2011), Pagination: 995-998Abstract
Security is the essential requirement in wireless ad-hoc networks to provide the protected communication between the nodes. The fact that the mobile ad-hoc networks are the lack of fixed infrastructure and use the wireless links for communications to make them very susceptible to an adversary‟s malicious attacks. Due to this feature of freedom and unconstrained mobility, it is prone to many security related problems. One of the problem in ad-hoc network is a black hole attack and it is easily employed by exploiting vulnerability of ad-hoc networks. In black hole attack, the attacker‟s node will always have the availability in replying to the route request and thus intercept the data packet and then retain it. In this paper, we address the problem of packet forwarding misbehavior and present a new technique HBR to detect and remove the black hole attack using NBT(Next Bounds Table), RQCT (Request connection table) and RSCT (Response connection table) Tables. This technique gives the better solution to improve the overall performance of the network and isolates the black hole attack from the network. And also it identifies the correct path to transmit the data packets safely.Keywords
Ad-Hoc, Black Hole Attack, Routing Packets, Security.- The Switching Fractional Order Chaotic System and Image Encryption and Decryption
Authors
Source
Digital Image Processing, Vol 10, No 8 (2018), Pagination: 153-156Abstract
Secure communication is the one of the main issue we are facing in this modern technology. Fractional order chaotic system has implemented for secure communication, however switching fractional order chaotic system has been not implemented for image encryption yet. So in this project we implemented image encryption by using new fractional chaotic system. It consists of fractional order chen system and other two fractional chaotic system. So for secure communication image has been encrypted using exclusive or Xor algorithm in this project. Secret key will be generated in different manner for each encryption randomly. This encryption technique increase the randomness and improve the speed of encryption.
Keywords
Fractional Order Chaotic System, Image Encryption and Decryption, Chaos Matrix, Histogram Equalization, Xor Swapping Algorithm- Environmental Impact Assessment of Thamirabarani River Basin, Tamil Nadu using Remote Sensing and GIS Techniques
Authors
1 Centre for Remote Sensing, Sathyabama Institute of Science and Technology, Chennai - 600119, Tamil Nadu, IN
2 V. O. Chidambaram College, Tuticorin - 628008, Tamil Nadu, IN
3 Centre for Earth and Atmospheric Sciences, Sathyabama Institute of Science and Technology, Chennai - 600119, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 11, No 22 (2018), Pagination: 1-7Abstract
Objective: To assess the landuse and landcover along with rainfall, to monitor the changes in waste and degraded lands, and to assess the water quality parameters mainly on TDS and Chloride and its impact in environ and to take the necessary action. Methods/Statistical Analysis: Land use/Land cover map, geology, geomorphology, drainage and waste lands maps were prepared using IRS P6 satellite Imagery. Rainfall details of 30 years were collected in the meteorological department and water quality samples were collected in control wells for pre monsoon and post monsoon season and using interpolation technique and overlay analysis, assessed the water quality and landcover changes. Findings: Using this analysis, the study clearly indicates that wasteland extent is increasing year by year due to the various water quality and rainfall changes. Micro level planning of water source and quality will increase the good environment. And identified the favorable sited for augment ground and surface waters bodies. Applications/Improvements: Suggestion to convert the wasteland into productive lands and sustainable developmental activity like construction of check dams, rehabilitation of tanks & canals, rainwater harvesting structures, and waste water recycling.References
- Anil NC, Sankar JG, Rao JM, Prasad I, Sailaja U. Studies on land use/land cover and change detection from parts of South West Godavari District, A.P.: Using remote sensing and GIS techniques. Journal of Indian Geophysical Union. 2011; 15(1):187–94.
- Mariappan VEN, Mohana P. Spatial urban sprut analysis in Kancheepuram district due to Special economic zones (Sez). 12th ESRI India User Conference Proceedings; 2011. p. 1–10.
- Venkateswaran S, Deepa S. Assessment of groundwater quality using GIS techniques in Vaniyar watershed, Ponniayar River, Tamil Nadu. Aquatic Procedia. 2015; 4:1283–90. Crossref
- Brahabhatt VS, Dalwadi GB, Chhabra SB, Ray SS, Dadhwal VK. Landuse/landcover changes mapping in Mahi canal command area, Gujarat, using multi-temporal satellite data. Journal of Indian Society of Remote Sensing. 2000; 28:221–32. Crossref
- Shamsudheen M, Dasog GS, Tejaswini NB. Land use/Land cover mapping in the coastal area of North Karnataka using remote sensing data. Journal of the Indian Society of Remote Sensing. 2005; 33:253-7. Crossref
- Tirunelveli District profile. Available from: http://tirunelveli.nic.in/climatic.html
- Mayilvaganan MK, Mohana P, Naidu KB. Delineating ground water potential zones in Turinjapuram watershed using geospatial techniques. Indian Journal of Science and Technology. 2011; 4(11):1470-6.
- Ratnaparkhi NS. National Remote Sensing Centre NRSC. Remote Sensing Application in Land Use Land Cover Classification System. 2014. 5(7):1–5.
- PWD, Institute of Water studies. Micro Level Water Planning For State Board. 2014.