Your search found 2 records
1 O’Keeffe, J.; Moulds, S.; Bergin, E.; Brozovic, N.; Mijic, A.; Buytaert, W. 2018. Including farmer irrigation behavior in a sociohydrological modeling framework with application in North India. Water Resources Research, 54(7):4849-4866. [doi: https://doi.org/10.1029/2018WR023038]
Irrigation water ; Farmers ; Human behaviour ; Socioeconomic environment ; Hydrology ; Models ; Water resources ; Groundwater table ; Water users ; Living standards ; Farm income ; Climate change ; Crop yield / India / Uttar Pradesh / Sitapur / Sultanpur / Hamirpur / Jalaun
(Location: IWMI HQ Call no: e-copy only Record No: H048922)
https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2018WR023038
https://vlibrary.iwmi.org/pdf/H048922.pdf
https://vlibrary.iwmi.org/pdf/H048922.pdf
(3.65 MB) (3.65 MB)
Understanding water user behavior and its potential outcomes is important for the development of suitable water resource management options. Computational models are commonly used to assist water resource management decision making; however, while natural processes are increasingly well modeled, the inclusion of human behavior has lagged behind. Improved representation of irrigation water user behavior within models can provide more accurate and relevant information for irrigation management in the agricultural sector. This paper outlines a model that conceptualizes and proceduralizes observed farmer irrigation practices, highlighting impacts and interactions between the environment and behavior. It is developed using a bottom-up approach, informed through field experience and farmer interaction in the state of Uttar Pradesh, northern India. Observed processes and dynamics were translated into parsimonious algorithms, which represent field conditions and provide a tool for policy analysis and water management. The modeling framework is applied to four districts in Uttar Pradesh and used to evaluate the potential impact of changes in climate and irrigation behavior on water resources and farmer livelihood. Results suggest changes in water user behavior could have a greater impact on water resources, crop yields, and farmer income than changes in future climate. In addition, increased abstraction may be sustainable but its viability varies across the study region. By simulating the feedbacks and interactions between the behavior of water users, irrigation officials and agricultural practices, this work highlights the importance of directly including water user behavior in policy making and operational tools to achieve water and livelihood security.
2 Moulds, S.; Buytaert, W.; Templeton, M. R.; Kanu, I. 2021. Modelling the impacts of urban flood risk management on social inequality. Water Resources Research, 32p. (Online first) [doi: https://doi.org/10.1029/2020WR029024]
Disaster risk management ; Flooding ; Disaster risk reduction ; Social aspects ; Equity ; Urbanization ; Vulnerability ; Communities ; Informal settlements ; Poverty ; Sustainable Development Goals ; Economic growth ; Governance ; Policies ; Hydrology ; Modelling
(Location: IWMI HQ Call no: e-copy only Record No: H050409)
https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2020WR029024
https://vlibrary.iwmi.org/pdf/H050409.pdf
https://vlibrary.iwmi.org/pdf/H050409.pdf
(3.95 MB) (3.95 MB)
The exposure of urban populations to flooding is highly heterogeneous, with the negative impacts of flooding experienced disproportionately by the poor. In developing countries experiencing rapid urbanisation and population growth a key distinction in the urban landscape is between planned development and unplanned, informal development, which often occurs on marginal, flood-prone land. Flood risk management in the context of informality is challenging, and may exacerbate existing social inequalities and entrench poverty. Here, we adapt an existing socio-hydrological model of human-flood interactions to account for a stratified urban society consisting of planned and informal settlements. In the first instance, we use the model to construct four system archetypes based on idealised scenarios of risk reduction and disaster recovery. We then perform a sensitivity analysis to examine the relative importance of the differential values of vulnerability, risk-aversion, and flood awareness in determining the relationship between flood risk management and social inequality. The model results suggest that reducing the vulnerability of informal communities to flooding plays an important role in reducing social inequality and enabling sustainable economic growth, even when the exposure to the flood hazard remains high. Conversely, our model shows that increasing risk aversion may accelerate the decline of informal communities by suppressing economic growth. On this basis, we argue for urban flood risk management which is rooted in pro-poor urban governance and planning agendas which recognise the legitimacy and permanence of informal communities in cities.
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