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Responsive Information generation system for Kanhan River, an effective information system for river modeling

Dinesh A. Lingote1 , Girish S. Katkar2 , Ritesh Vijay3 , R. B. Biniwale4

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-12 , Page no. 213-221, Dec-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i12.213221

Online published on Dec 31, 2018

Copyright © Dinesh A. Lingote, Girish S. Katkar, Ritesh Vijay, R. B. Biniwale . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Dinesh A. Lingote, Girish S. Katkar, Ritesh Vijay, R. B. Biniwale, “Responsive Information generation system for Kanhan River, an effective information system for river modeling,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.12, pp.213-221, 2018.

MLA Style Citation: Dinesh A. Lingote, Girish S. Katkar, Ritesh Vijay, R. B. Biniwale "Responsive Information generation system for Kanhan River, an effective information system for river modeling." International Journal of Computer Sciences and Engineering 6.12 (2018): 213-221.

APA Style Citation: Dinesh A. Lingote, Girish S. Katkar, Ritesh Vijay, R. B. Biniwale, (2018). Responsive Information generation system for Kanhan River, an effective information system for river modeling. International Journal of Computer Sciences and Engineering, 6(12), 213-221.

BibTex Style Citation:
@article{Lingote_2018,
author = {Dinesh A. Lingote, Girish S. Katkar, Ritesh Vijay, R. B. Biniwale},
title = {Responsive Information generation system for Kanhan River, an effective information system for river modeling},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2018},
volume = {6},
Issue = {12},
month = {12},
year = {2018},
issn = {2347-2693},
pages = {213-221},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3318},
doi = {https://doi.org/10.26438/ijcse/v6i12.213221}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i12.213221}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3318
TI - Responsive Information generation system for Kanhan River, an effective information system for river modeling
T2 - International Journal of Computer Sciences and Engineering
AU - Dinesh A. Lingote, Girish S. Katkar, Ritesh Vijay, R. B. Biniwale
PY - 2018
DA - 2018/12/31
PB - IJCSE, Indore, INDIA
SP - 213-221
IS - 12
VL - 6
SN - 2347-2693
ER -

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Abstract

River is main source of water for drinking and domestic usage. Over exploitation and discharge of surface water in river stream has ecologically stressed the rivers. In view to manage river health, it is essential to carry out river engineering periodically. River follows complex structure; goes through dense forest and valleys. Therefore, measuring water quality and several other parameters associated with the river is a discouraging job. Mostly river follows longest path and generating data for such large geographical area is very challenging. Scientific study of the river requires data for several consecutive years. Having such large data requirement and expecting data generation simply through field-work is highly burdened and never ending process. Therefore, in this paper we introduced auto data generation techniques like: data extraction, data generation through public-partnership, data estimation and data generation using GIS (Geographic information system) based utility software. Lastly, we illustrate complete data generated by using these auto data generation techniques.

Key-Words / Index Term

Information system, River modelling, Kanhan River; Geo-mapping, River engineering, Water quality

References

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