Evaluating Control of Various Hydrological Factors on Selection of Groundwater-Level Monitoring Networks in Irrigated Areas Using a Geospatial Approach
Publication: Journal of Irrigation and Drainage Engineering
Volume 143, Issue 8
Abstract
In a complex aquifer system, groundwater levels are highly dynamic in nature and measurement of groundwater levels requires systematic networks of observation wells (OWs) considering hydrological variations. The existing previously developed groundwater monitoring networks make use of limited hydrological input parameters, mainly groundwater level (GWL). In addition to GWL, other factors that influence groundwater availability are required to finalize the number and location of the OWs in a groundwater monitoring network. An understanding of the control of different hydrological factors is essential prior to designing groundwater monitoring networks. The purpose of this study is to evaluate the impact of hydrological factors on the selection and location of OWs using a geospatial approach. This paper presents a case study of the Wainganga basin located in central India, where irrigation takes place both through ground and surface water. Factors examined in the present study are changing seasons, cropping pattern, the normalized difference vegetation index (NDVI), type of aquifer, and GWLs in command and noncommand areas. From the NDVI analysis using moderate-resolution imaging spectroradiometer data, it may be concluded that, in the absence of GWL data, NDVI can also be an indicator of groundwater utilization in irrigated areas. Results from the study identify preferable zones where OWs may be added (west, southeast, and some central parts of the study area) based on hydrological factors in the complex aquifer system. Parameters described in the study can also be useful in designing, modifying, and periodically reexamining existing groundwater monitoring networks and in facilitating more reasonable monitoring network design.
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References
Ahmed, S., Jayakumar, R., and Salih, A. (2008). Groundwater dynamics in hard rock aquifers: Sustainable management and optimal monitoring network design, Springer Science & Business Media, Dordrecht, Netherlands.
ArcGIS [Computer software]. Environmental Systems Research Institute, Redlands, CA.
Aziz, J., Ling, M., Newell, C., Rifai, H., and Gonzales, J. (2002). “MAROS: A decision support system for optimizing monitoring plans.” Ground Water, 41(3), 355–367.
CGWB (Central Ground Water Board). (2012). “Principal aquifer system and their properties in Nagpur district.” ⟨http://www.india-wris.nrsc.gov.in/LithologApp.html?UType=R2VuZXJhbA==?UName=⟩ (Oct. 13, 2016).
CWC (Central Water Commission) and NRSC (National Remote Sensing Centre). (2014). “Dams in Godavari basin.” ⟨www.india-wris.nrsc.gov.in⟩ (Jun. 14, 2016).
Esquivel, J. M., Guillermo, P. M., and María, V. E. (2015). “Groundwater monitoring network design using GIS and multicriteria analysis.” Water Resour. Manage., 29(9), 3175–3194.
Gangopadhyay, S., Das Gupta, A., and Nachabe, M. H. (2001). “Evaluation of ground water monitoring network by principal component analysis.” Ground Water, 39(2), 181–191.
GSI (Geological Survey of India). (2009). “Report on thematic mapping of deccan traps in inter-operational areas falling in parts of Amravati and Nagpur districts of Maharashtra, Chhindwara and Betul districts of Madhya Pradesh.” Nagpur, India, 4–32.
Kendall, M. A. (1975). Rank correlation methods, Charles Griffin, London.
Kharage, V. (2008). “Reference book.” ⟨https://www.cse.iitb.ac.in/∼sohoni/TD603/GSDAReferenceBook.pdf⟩ (Jul. 15, 2016).
Kim, G. (2010). “Integrated consideration of quality and quantity to determine regional groundwater monitoring site in South Korea.” Water Resour. Manage., 24(14), 4009–4032.
Maddock, T., and Vionnet, L. B. (1998). “Groundwater capture processes under a seasonal variation in natural recharge and discharge.” Hydrogeol. J., 6(1), 24–32.
Manzar, A. (2013). “Ground water information Nagpur district Maharashtra.” ⟨http://cgwb.gov.in/District_Profile/Maharashtra/Nagpur.pdf⟩ (Sep. 23, 2016).
Maréchal, J. C., Dewandel, B., Ahmed, S., and Galéazzi, L. (2006). “Combined estimation of specific yield and natural recharge in a semi-arid groundwater basin with irrigated agriculture.” J. Hydrol., 329(1–2), 281–293.
MODIS (Moderate Resolution Imaging Spectroradiometer). (2013). “MODIS.” ⟨http://modis.gsfc.nasa.gov⟩ (Oct. 5, 2016).
Mogheir, Y., De Lima, J. L. M. P., and Singh, V. P. (2005). “Assessment of informativeness of groundwater monitoring in developing regions (Gaza strip case study).” Water Resour. Manage., 19(6), 737–757.
Mondal, N. C., and Singh, V. P. (2012). “Evaluation of groundwater monitoring network of Kodaganar river basin from southern India using entropy.” Environ. Earth Sci., 66(4), 1183–1193.
Narany, T. S., Ramli, M. F., Fakharian, K., Aris, A. Z., and Sulaiman, W. N. A. (2015). “Multi-objective based approach for groundwater quality monitoring network optimization.” Water Resour. Manage., 29(14), 5141–5156.
NRSC (National Remote Sensing Centre). (2014). “Land use/land cover database on 1:50,000 scale, Natural Resources Census Project, LUCMD, LRUMG, RSAA, National Remote Sensing Centre, ISRO, Hyderabad.” ⟨http://bhuvan.nrsc.gov.in/gis/thematic/index.php⟩ (Sep. 21, 2016).
Nunes, L. M., Paralta, E., Cunha, M. C., and Ribeiro, L. (2004). “Groundwater nitrate monitoring network optimization with missing data.” Water Resour. Res., 40(2), 1–18.
Prakash, M. R., and Singh, V. S. (2000). “Network design for groundwater monitoring—A case study.” Environ. Geol., 39(6), 628–632.
Preeja, K. R., Joseph, S., Thomas, J., and Vijith, H. (2011). “Identification of groundwater potential zones of a tropical river basin (Kerala, India) using remote sensing and GIS techniques.” J. Indian Soc. Remote Sens., 39(1), 83–94.
Rahman, A., Kamruzzama, M., Jahan, C. S., and Mazumder, Q. H. (2016). “Long-term trend analysis of water table using ‘MAKESENs’ model and sustainability of groundwater resources in drought prone Barind area, NW Bangladesh.” J. Geol. Soc. India, 87(2), 179–193.
Singh, C. K., and Katpatal, Y. B. (2015). “Effect of global climate change on groundwater resources using geostatistics and linear regression method.” Clim. Change, 1(4), 491–497.
Suja Rose, R. S., and Krishnan, N. (2009). “Spatial analysis of groundwater potential using remote sensing and GIS in the Kanyakumari and Nambiyar basins, India.” J. Indian Soc. Remote Sens., 37(4), 681–692.
Thomas, T., Jaiswal, R. K., Ravi, G., and Surjeet, S. (2009). “Development of a rainfall-recharge relationship for a fractured basaltic aquifer in central India.” Water Resour. Manage., 23(15), 3101–3119.
Triki, I., Zairi, M., and Ben Dhia, H. (2013). “A geostatistical approach for groundwater head monitoring network optimisation: Case of the Sfax superficial aquifer (Tunisia).” Water Environ. J., 27(3), 362–372.
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Journal of Irrigation and Drainage Engineering
Volume 143 • Issue 8 • August 2017
Copyright
©2017 American Society of Civil Engineers.
History
Received: Dec 21, 2016
Accepted: Mar 14, 2017
Published online: Jun 13, 2017
Published in print: Aug 1, 2017
Discussion open until: Nov 13, 2017
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