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Data Analysis (hydrology) PhD Projects, Programs & Scholarships

We have 10 Data Analysis (hydrology) PhD Projects, Programs & Scholarships

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We have 10 Data Analysis (hydrology) PhD Projects, Programs & Scholarships

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SCENARIO: Quantifying UK hydroclimatic variability on centennial timescales (ref. SC2022_26)

Water resources management systems have evolved to accommodate the range of hydrological variability experienced over decades – typically, the period from the 1960s/1970s, which is when most UK river flow records commenced. Read more

Role of catchment properties in mediating the hydrological transition between droughts and floods

Droughts and floods represent the extreme end members of catchment hydrological conditions, and both have the potential to cause severe socioeconomic damage and loss of life in places where they occur. Read more

Impact of climate change and deglaciation on Glacier Lake Outburst Flood hazards in Lunana, Bhutan (OP2241)

The Himalayas are rapidly deglaciating due to climate change:this threatens the water security of ~1 billion people downstream and increases the risk of natural hazards, whilst rapid growth of downstream populations and infrastructure increases vulnerability (Immerzeel et al., 2020). Read more

Reconstructing climate and landscape change in drylands from sedimentary records (OP2216)

The basin of Shubayqa (Qa Shubayqa), today an ephemeral wetland in the eastern basalt desert of Jordan, provides a rare opportunity to reconstruct precipitation and landscape patterns throughout the Holocene in the wider Levant region east of the Dead Sea, because of its depth of sediment, a rather unique regional environmental archive. Read more

Plant communities and climbers in degraded and regenerating forest landscapes of Borneo

Tropical forests are becoming increasingly fragmented as a result of land-use pressures. Due to different land-use histories, remnant forests are not created equal; some are more structurally intact than others and this can alter the capacity for a forest to naturally regenerate. Read more
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