A GIS-based spatially distributed crop water demand modelling for Pullambadi canal command area in lower Cauvery basin,
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1ST CAJG 2018
A GIS-based spatially distributed crop water demand modelling for Pullambadi canal command area in lower Cauvery basin, Tamil Nadu, India Subbarayan Saravanan 1
&
Jesudasan Jacinth Jennifer 1
&
Devanantham Abijith 1
&
Leelambar Singh 1
Received: 27 September 2019 / Accepted: 11 September 2020 / Published online: 23 September 2020 # Saudi Society for Geosciences 2020
Abstract Water shortage is an actual warning to food production for people in semi-arid areas. Due to overuse, it is necessary to describe appropriate approaches, plans, and management for irrigated land. Pullambadi command area faces water crisis throughout the year, due to over-exploitation of water in irrigation for both Ariyalur and Tiruchirappalli district. Due to improper utilization of water, it is necessary to find proper crop evaporation (ETc) and crop coefficient (Kc) for proper management of water resources. The crop water estimation for the years 2015 and 2016 was computed for the Pullambadi canal in this study adopting remote sensing and geographical information system (GIS) approach to identify the crop water demand and crop water supply using crop coefficient. Banana, sugarcane, and paddy crops were identified with the assistance of Landsat-8 satellite images as well as Google Earth. Hargreaves method was adopted for the valuation of reference evapotranspiration. ETc and water requirement of different crops were spatially analysed, and it was high in the western region and less in the eastern part. It was found that sugarcane crop requires more water than other crops. A simplified water balance approach was opted to estimate the water demand requirement supply. The requirement of water supply for all crops was high during July–October season. Incorporation of these findings in irrigation scheduling and planning could improve the management and, largely, demonstrate the water resources in the study area. Remote sensing and GIS approach in irrigation water scheduling are helpful due to fast quantification than tradition methods. Keywords Evapotranspiration . Crop water requirement . Geographic information system . Remote sensing . Pullambadi
Introduction This paper was selected from the 1st Conference of the Arabian Journal of Geosciences (CAJG), Tunisia 2018 Responsible Editor: Hesham El-Askary * Subbarayan Saravanan [email protected] Jesudasan Jacinth Jennifer [email protected] Devanantham Abijith [email protected] Leelambar Singh [email protected] 1
Department of Civil Engineering, National Institute of Technology, Tiruchirappalli, India
The defined estimation of crop water supply and demand is crucial for the irrigation aspect. The demand for water varies from plant to plant and during the growth period. Crop water demand depends on evapotranspiration, which is a combined form of evaporation and transpiration of water from the leaf. Reference evapotranspiration is defined as the dissipation of water in the atmosphere from the extended surface plant cover. Evapotranspiration is useful to measure cr
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