Climate Change and Its Implications for Irrigation, Drainage and Flood Management

Pandya, Ashwin B.; Singh, Sahdev; Sharma, Prachi

doi:10.1007/978-981-16-5493-0_6

Cited by 3 publications

(3 citation statements)

References 7 publications

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“…According to Pandya et al [253], internal erosion is responsible for 27% of large dam failures worldwide, making it the second leading cause of such failures. Rising temperatures and varying weather conditions, whether dry or wet, can cause additional mechanical stresses to concrete dams.…”

Section: Threshold Capacitymentioning

confidence: 99%

Climate-resilience of dams and levees in Canada: a review

Islam,

Fereshtehpour,

Najafi

et al. 2024

Discov Appl Sci

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Increasing frequency and intensification of flooding pose significant threats to critical structures, such as dams and levees. Failure of these structures can lead to substantial economic losses and significant adverse environmental and social consequences. Improving the resilience of these structures against climate-related impacts is important to avoid future risks of failure due to the potential intensification of flooding. National-level guidance on integrating resilience-based frameworks and addressing climate risks and uncertainties in existing design flood estimation methodologies for dams and levees are lacking. To address these gaps, this study first reviews projected climate change patterns for Canada and then discusses regional vulnerabilities of dams by considering significant historical floods and their consequences. Subsequently, a review of existing design flood estimation procedures, with a focus on frequency- and probable maximum flood-based approaches, is conducted to identify areas where climate change-related aspects can be integrated. By examining the challenges associated with various stages of design flood estimation procedures, the review discusses a framework for enhancing climate resiliency of dams and levees considering four pillars of resilience. Furthermore, Canadian design flood estimation practices are compared with international practices to identify areas that require attention. The study highlights the importance of a resilience-based framework in providing design and operation guidance to ensure that dams and levees are resilient to climate impacts. Policymakers and engineers can prioritize consideration of climate-resilience in the design and operation of these structures in order to safeguard communities and infrastructure from the growing risks of future floods associated with climate change.

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Section: Threshold Capacitymentioning

confidence: 99%

Climate-resilience of dams and levees in Canada: a review

Islam,

Fereshtehpour,

Najafi

et al. 2024

Discov Appl Sci

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“…Many studies have reported a direct relationship between poor drainage conditions and flooding susceptibility [25]. Hence, proper drainage practices can be an effective tool to mitigate flood risks and soil erosion as surface runoff decreases [26,27]. The above-mentioned threats of waterlogging and soil salinization highlight the great need for particular practices that help poorly drained lands get rid of their excess water to ensure the desired conditions for crops, soil, and the surrounding environment.…”

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confidence: 99%

mentioning

confidence: 99%

Assessment of Subsurface Drainage Strategies Using DRAINMOD Model for Sustainable Agriculture: A Review

et al. 2023

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Practicing agricultural drainage strategies is necessary to manage excess water in poorly drained irrigated agricultural lands to protect them from induced waterlogging and salinity problems. This paper provides an overview of subsurface drainage strategies and the modeling of their performance using the DRAINMOD model. Given that the DRAINMOD model considers a fixed value of the surface depression capacity (SDC) for the whole simulation period, which does not suit many agricultural practices, the paper then assesses the model’s performance under time-variable SDC. It was revealed that adopting a fixed value of SDC for the whole simulation period in the DRAINMOD model causes it to produce improper predictions of the water balance in farmlands characterized by time-variable SDC. Such a model drawback will also adversely impact its predictions of the nitrogen and phosphorus fate in farmlands, which represent major inputs when managing both the agricultural process and agricultural water quality. Researchers should pay attention when applying the DRAINMOD model to farmlands characterized by time-variable SDC. Moreover, it is recommended that the DRAINMOD input module be improved by considering changes in SDC during the simulation period to ensure better management of the agricultural process and agricultural water.

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