Your search found 4 records
1 Babovic, F.; Babovic, V.; Mijic, A.. 2018. Antifragility and the development of urban water infrastructure. International Journal of Water Resources Development, 34(4):499-509. (Special issue: Urban Resilience to Droughts and Floods: Policies and Governance). [doi: https://doi.org/10.1080/07900627.2017.1369866]
Water supply ; Infrastructure ; Urban areas ; Climate change adaptation ; Towns ; Governance ; Uncertainty ; Decision making ; Models ; Flooding ; Risk management
(Location: IWMI HQ Call no: e-copy only Record No: H048813)
https://vlibrary.iwmi.org/pdf/H048813.pdf
(0.95 MB)
Antifragility is a system property that results in systems becoming increasingly resistant to external shocks by being exposed to them. These systems have the counter-intuitive property of benefiting from uncertain conditions. This paper presents one of the first known applications of antifragility to water infrastructure systems and outlines the development of antifragility at the city scale through the use of local governance, data collection and a bimodal strategy for infrastructure development. The systems architecture presented results in a management paradigm that can deliver reliable water systems in the face of highly uncertain future conditions.

2 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
(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.

3 Chun, K. P.; He, Q.; Fok, H. S.; Ghosh, S.; Yetemen, O.; Chen, Q.; Mijic, A.. 2020. Gravimetry-based water storage shifting over the China-India border area controlled by regional climate variability. Science of The Total Environment, 714:136360. [doi: https://doi.org/10.1016/j.scitotenv.2019.136360]
Water storage ; Climate change ; Precipitation ; Drought ; Temperature ; Monsoon climate ; Water depletion ; Satellite observation ; Gravimetry / China / India / Indus River / Ganges River / Brahmaputra River
(Location: IWMI HQ Call no: e-copy only Record No: H049784)
https://vlibrary.iwmi.org/pdf/H049784.pdf
(1.73 MB)
The regional water storage shifting causes nonstationary spatial distribution of droughts and flooding, leading to water management challenges, environmental degradation and economic losses. The regional water storage shifting is becoming evident due to the increasing climate variability. However, the previous studies for climate drivers behind the water storage shifting are not rigorously quantified. In this study, the terrestrial water storage (TWS) spatial shifting pattern during 2002–2017 over the China-India border area (CIBA) is developed using the Gravity Recovery and Climate Experiment (GRACE), suggesting that the Indus-Ganges-Brahmaputra basin (IGBB) was wetting while the central Qinghai-Tibet Plateau (QTP) was drying. Similar drying and wetting patterns were also found in the precipitation, snow depth, Palmer Drought Severity Index (PDSI) and potential evaporation data. Based on our newly proposed Indian monsoon (IM) and western North Pacific monsoon (WNPM) variation indices, the water shifting pattern over the CIBA was found to be affected by the weakening of the variation of IM and WNPM through modulating the regional atmospheric circulation. The weakening of IM and WNPM variations has shown to be attributed to the decreasing temperature gradient between the CIBA and the Indian Ocean, and possibly related to increasing regional temperatures associated with the increasing global temperature. As the global warming intensifies, it is expected that the regional TWS shifting pattern over the CIBA will be further exaggerated, stressing the need of advancing water resources management for local communities in the region.

4 Liu, L.; Dobson, B.; Mijic, A.. 2023. Optimisation of urban-rural nature-based solutions for integrated catchment water management. Journal of Environmental Management, 329:117045. [doi: https://doi.org/10.1016/j.jenvman.2022.117045]
Nature-based solutions ; Water management ; Integrated management ; Water availability ; Water quality ; Wetlands ; Models ; Hydrological cycle ; Floodplains ; Infrastructure ; Wastewater treatment ; Biodiversity ; Stormwater runoff ; Surface water ; Soil water ; River water ; Case studies / United Kingdom of Great Britain and Northern Ireland / Norfolk / Wensum / Yare / Norwich
(Location: IWMI HQ Call no: e-copy only Record No: H051917)
https://www.sciencedirect.com/science/article/pii/S0301479722026184/pdfft?md5=61feeff3ee8e040036149f557928f1cf&pid=1-s2.0-S0301479722026184-main.pdf
https://vlibrary.iwmi.org/pdf/H051917.pdf
(11.70 MB) (11.7 MB)
Nature-based solutions (NBS) have co-benefits for water availability, water quality, and flood management. However, searching for optimal integrated urban-rural NBS planning to maximise co-benefits at a catchment scale is still limited by fragmented evaluation. This study develops an integrated urban-rural NBS planning optimisation framework based on the CatchWat-SD model, which is developed to simulate a multi-catchment integrated water cycle in the Norfolk region, UK. Three rural (runoff attenuation features, regenerative farming, floodplain) and two urban (urban green space, constructed wastewater wetlands) NBS interventions are integrated into the model at a range of implementation scales. A many-objective optimisation problem with seven water management objectives to account for flow, quality and cost indicators is formulated, and the NSGAII algorithm is adopted to search for optimal NBS portfolios. Results show that rural NBS have more significant impacts across the catchment, which increase with the scale of implementation. Integrated urban-rural NBS planning can improve water availability, water quality, and flood management simultaneously, though trade-offs exist between different objectives. Runoff attenuation features and floodplains provide the greatest benefits for water availability. Regenerative farming is most effective for water quality and flood management, though it decreases water availability by up to 15% because it retains more water in the soil. Phosphorus levels are best reduced by expansion of urban green space to decrease loading on combined sewer systems, though this trades off against water availability, flood, nitrogen and suspended solids. The proposed framework enables spatial prioritisation of NBS, which may ultimately guide multi-stakeholder decision-making, bridging the urban-rural divide in catchment water management.

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