Bergez, J-E and Baccar, M and Sekhar, M and Ruiz, L (2022) NIRAVARI: A Parsimonious Bio-Decisional Model for Assessing the Sustainability and Vulnerability of Rainfed or Groundwater-Irrigated Farming Systems in Indian Agriculture. In: Water (Switzerland), 14 (20).
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Abstract
Groundwater irrigation is essential to sustain food production, and aquifer depletion represents a major sustainability challenge for humanity. There is a need for adequate modelling tools to assess the impacts of farming practices on groundwater resources with policy-makers and farmers in different contexts, especially in the case of smallholder farms in the tropics. We introduce the NIRAVARI model, which was designed to represent the Indian farming and water resource context. NIRAVARI is a parsimonious model integrating biophysical and decisional processes dealing with the farming system and the water table processes. A specific focus is given to how to irrigate with multiple water resources. Its formalisms include equations from well-tested published models for soil moisture and plant water stress simulations. The programming and graphic user interface is based on Excel VBA. We illustrate the ability of NIRAVARI to simulate a broad range of farmer adaptation strategies using four scenarios of cropping systems and water resources policies, and therefore, its interest for participatory scenario design and assessment with stakeholders.
Item Type: | Journal Article |
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Publication: | Water (Switzerland) |
Publisher: | MDPI |
Additional Information: | The copyright for this article belongs to the Authors. |
Keywords: | Aquifers; Climate change; Climate models; Graphical user interfaces; Groundwater resources; Soil moisture; Sustainable development, Adequate models; Farming system; Food production; Groundwater irrigation; India; Irrigation strategy; Modeling; Modelling tools; Rainfed; Waters resources, Irrigation |
Department/Centre: | Division of Mechanical Sciences > Civil Engineering Others |
Date Deposited: | 20 Nov 2022 07:04 |
Last Modified: | 20 Nov 2022 07:04 |
URI: | https://eprints.iisc.ac.in/id/eprint/77892 |
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