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SUMMARY:EESS talk on "Catchments as hydro-biogeochemical reactors: can we 
 predict their future?"
DTSTART:20190312T121500
DTEND:20190312T130000
DTSTAMP:20260406T153422Z
UID:28eb9326856b41cc2f4153dd867e03f33b174a00564a9ec7b70d41da
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr Li LI\, Associate professor\, Li Reactive Water Group\, Dep
 t. Civil & Environmental Engineering\, Pennsylvania State University\, USA
  - is a visiting professor at the ECHO lab. Her research group works at th
 e interface of hydrology and biogeochemistry\, asking questions about inte
 ractions and feedbacks between water flow and biogeochemical transformatio
 n processes ranging from the pore scale to the watershed scale. Li has a P
 hD in Environmental Engineering and Water Resources from Princeton Univers
 ity and subsequently worked at the Lawrence Berkeley National Laboratory i
 n USA before joining Penn State.\nAbstract:\nHow and how fast does biogeoc
 hemical signature respond to hydrological variations (and climate changes 
 in general)? This question has lingered in catchment science for decades\,
  with literature now boasting decades of concentration (C) and discharge (
 Q) data that record the Earth system response to changing environmental co
 nditions.  Diverse explanations abound in literature explaining contrasti
 ng CQ patterns of diverse solutes at rivers and streams worldwide\, althou
 gh a unifying framework is still missing. This talk will discuss recent wo
 rk using recently-developed hydro-biogeochemical modeling in Coal Creek\, 
 Colorado\, a high elevation headwater catchment in central Rocky Mountain 
 in US that have seen significant alteration in water chemistry in recent y
 ears. We use decades of data and build virtual catchments to interrogate c
 ompeting influences of hydrological and temperature on chemical weathering
  and organic carbon decomposition at the catchment scale. Derived function
 al relationships developed can explain contrasting CQ patterns from multip
 le watersheds of diverse climate\, geology\, and land cover conditions\, p
 ointing toward potentials for a unified\, predictive framework.
LOCATION:GR C0 01 https://plan.epfl.ch/?room=GRC001
STATUS:CONFIRMED
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