Event date:
Feb 19 2021 9:30 am

Pathways for Basin-wide Adoption of Non-paradoxical Smart Irrigation Technologies

Supervisor
Dr. Abubakr Muhammad
Student
Ansir Ilyas
Venue
Zoom Meetings (Online)
Event
PhD Synopsis defense
Abstract
Improving irrigation efficiency (IE) is conventionally perceived as a water-conserving practice in the agriculture sector. The common understanding is that increased on-farm IE leads to increased water availability at the basin scale. However, in the recent past, many instances have been reported where increasing on-farm IE failed to increase water availability at the basin scale. This phenomenon is commonly known as the `Irrigation Efficiency Paradox (IEP)'. The primary phenomenon that brings about the IE paradox can be attributed to irrigator behavior, known as the farmers' rent-seeking behavior. This thesis identifies the basin-wide (macro-level phenomena) impact of improvement in on-farm irrigation efficiency (micro-level phenomena) bearing the irrigating farmers' rent-seeking behavior using a dynamic socio-hydrological and the integrated assessment model (IAM). This thesis consists of three parts:
(1) A dynamic socio-hydrological model of on-farm irrigation that couples the farm's water flow dynamics with the irrigating farmers' rent-seeking behavior to capture the IE paradox.
(2) The integrated assessment model for understanding trade-offs and interaction between the water, energy, and land resources after implementation of on-farm IE program.
(3) Merge the dynamical system model with IAM to identify the basin-wide implication of the IE paradox on water, energy, and land resources.

Publications

1.       Ansir Ilyas, Talha Manzoor, Abubakr Muhammad, A Dynamic Socio-Hydrological model of Irrigation Efficiency Paradox, Water Resource research (Submitted)

2.       Ilyas, A., Parkinson, S., Vinca, A. and Muhammad, A., 2020. Diffusion of Smart Irrigation Systems for Tackling Water-Energy-Food Nexus Challenges in the Indus Basin (No. 2574). EasyChair.

3.       Vinca, A., Parkinson, S., Byers, E., Burek, P., Khan, Z., Krey, V., Diuana, F.A., Wang, Y., Ilyas, A., Köberle, A.C. and Staffell, I., 2020. The NExus Solutions Tool (NEST) v1. 0: an open platform for optimizing multi-scale energy–water–land system transformations. Geoscientific Model Development, 13(3), pp.1095-1121.

4.       Ilyas, A., Vinca, A., Parkinson, S., Byers, E., Burek, P., Wada, Y., Krey, V., Riahi, K., Djilali, N., Khan, A. and Langan, S., 2019, January. Quantifying impacts of smart irrigation technology on long-term water-energy nexus challenges in the Indus River Basin. In Geophysical Research Abstracts (Vol. 21).

5.      Ilyas, A., Hassan, W., Manzoor, T. and Muhammad, A., 2019. Towards Regulating Consumption in a Socio-hydrological Model for Groundwater Extraction. IFAC-PapersOnLine, 52(23), pp.94-100.