Contact Dr Saghar Andaryani
Background
I am a dedicated researcher with extensive expertise in hydrology, climate change modeling, land use classification, and machine learning applications in environmental studies. I specializes in evaluating the impacts of land use and climate changes on water resources, subsidence, and floods, employing advanced tools such as hydrological models (such as SWAT, SWAT+), geospatial analysis, and remote sensing techniques. With a strong interdisciplinary background in hydrology, climatology, GIS, and geohazards, I am committed to addressing critical global challenges related to water resources and environmental sustainability. My work is characterized by innovation, meticulous data analysis, and a focus on delivering impactful solutions.
Research opportunities
My research interests encompass a range of topics within hydrology, climate change, and environmental management. I am particularly focused on the development and application of hydrological models to simulate surface and groundwater dynamics, especially in the context of climate change and land use modifications. I have a strong interest in sustainable water table management practices, with a specific emphasis on agricultural landscapes and peatland ecosystems.
Current activities
As a dedicated researcher within the "Lowland Peat 3" project at Cranfield University, I contributes to transformative solutions aimed at mitigating greenhouse gas emissions in lowland agricultural peatlands. My role focuses on evaluating and modifying agricultural drainage systems to support sustainable water table management and align with the UK's Carbon Budget and Net Zero Strategy.
Leveraging my expertise in hydrological modeling, climate change analysis, and geospatial techniques, I integrate advanced tools such as LiDAR, field-scale numerical models, and remote sensing data to simulate water table fluctuations and assess re-wetting strategies. My work involves close collaboration with interdisciplinary teams, contributing to landscape opportunity mapping and infrastructure planning to support peatland restoration.
With a strong background in GIS, remote sensing, and machine learning, My passion for interdisciplinary problem-solving underpins my contributions to Cranfield's mission of addressing global environmental challenges.
Publications
Articles In Journals
- Andaryani S & Afkhaminia A. (2024). Real-time prediction of river ice breakup phenomena: A jittered genetic programming model and wavelet analysis integrating remotely sensed imagery and machine learning. Journal of Hydrology, 644
- Ershadfath F, Shahnazari A, Sarjaz MR, Andaryani S, Trolle D, .... (2024). Blue and green water availability under climate change in arid and semi-arid regions. Ecological Informatics, 82
- Ershadfath F, Shahnazari A, Sarjaz MR, Moghadasi OA, Soheilifard F, .... (2024). Water-energy-food-greenhouse gas nexus: An approach to solutions for water scarcity in agriculture of a semi-arid region. Agricultural Systems, 219
- Andaryani S, Nourani V, Abbasnejad H, Koch J, Stisen S, .... (2023). Spatio-temporal analysis of climate and irrigated vegetation cover changes and their role in lake water level depletion using a pixel-based approach and canonical correlation analysis. Science of The Total Environment, 873
- Andaryani S, Nourani V, Ershadfath F, Hashemi F, Haghighi AT, .... (2023). The detection and monitoring of pollution caused by gold mining using a vegetation cover index. Environmental Science and Pollution Research, 30(3)
- Andaryani S, Nourani V, Pradhan B, Jalali Ansarudi T, Ershadfath F, .... (2022). Spatiotemporal evaluation of future groundwater recharge in arid and semi-arid regions under climate change scenarios. Hydrological Sciences Journal, 67(6)
- Andaryani S, Nourani V, Ball J, Jahanbakhsh Asl S, Keshtkar H, .... (2021). A comparison of frameworks for separating the impacts of human activities and climate change on river flow in existing records and different
near‐future scenarios. Hydrological Processes, 35(7) - Andaryani S, Sloan S, Nourani V & Keshtkar H. (2021). The utility of a hybrid GEOMOD-Markov Chain model of land-use change in the context of highly water-demanding agriculture in a semi-arid region. Ecological Informatics, 64
- Andaryani S, Nourani V, Haghighi AT & Keesstra S. (2021). Integration of hard and soft supervised machine learning for flood susceptibility mapping. Journal of Environmental Management, 291
- Nourani V, Tootoonchi R & Andaryani S. (2021). Investigation of climate, land cover and lake level pattern changes and interactions using remotely sensed data and wavelet analysis. Ecological Informatics, 64
- Nourani V, Afkhaminia A, Andaryani S & Zhang Y. (2021). Multi-station calibration strategy for evaluation and sensitivity analysis of the snowmelt runoff model using MODIS satellite images. Hydrology Research, 52(6)
- Nourani V & Andaryani S. (2020). Flood susceptibility mapping in densely populated urban areas using MCDM and fuzzy techniques. IOP Conference Series: Earth and Environmental Science, 491(1)
- Andaryani S, Nourani V, Trolle D, Dehghani M & Asl AM. (2019). Assessment of land use and climate change effects on land subsidence using a hydrological model and radar technique. Journal of Hydrology, 578
- Andaryani S, Trolle D, Nikjoo MR, Moghadam MHR & Mokhtari D. (2019). Forecasting near-future impacts of land use and climate change on the Zilbier river hydrological regime, northwestern Iran. Environmental Earth Sciences, 78(6)