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<p>Please join us for this week's EOAS Colloquium speaker TODAY at
3pm in EOA 1050:</p>
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New Roman",serif"><br>
</span></font></p>
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<p class="MsoNormal" style="margin-bottom:0in;text-align:center;
line-height:normal;layout-grid-mode:char" align="center"><b><span style="font-size:16.0pt; font-family:"Times New
Roman",serif">Model- and Data-Based Approaches for
Identifying Controlling Processes of an Environmental System
and my View of Environmental Data Science</span></b></p>
<p class="MsoNormal" style="margin-bottom:0in;text-align:center;
line-height:normal;layout-grid-mode:char" align="center"><b><span style="font-size:16.0pt; font-family:"Times New
Roman",serif"> </span></b></p>
<p class="MsoNormal" style="margin-bottom:0in;text-align:center;
line-height:normal;layout-grid-mode:char" align="center"><span style="font-size:16.0pt; font-family:"Times New
Roman",serif">Dr. Ming Ye (</span><span style="font-size:
16.0pt"><a href="mailto:mye@fsu.edu" moz-do-not-send="true"><span style="font-family:"Times New Roman",serif">mye@fsu.edu</span></a></span><span style="font-size:16.0pt;font-family:"Times New
Roman",serif">), Professor</span></p>
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Roman",serif"></span></font></p>
<p class="MsoNormal" style="margin-bottom:0in;text-align:center;
line-height:normal;layout-grid-mode:char" align="center"><span style="font-size:12.0pt; font-family:"Times New
Roman",serif">Department of Earth, Ocean, and Atmospheric
Science and Department of Scientific Computing</span></p>
<p class="MsoNormal" style="margin-bottom:0in;text-align:center;
line-height:normal;layout-grid-mode:char" align="center"><span style="font-size:12.0pt; font-family:"Times New
Roman",serif">Florida State University</span></p>
<p class="MsoNormal" style="margin-bottom:0in;text-align:justify;text-justify:
inter-ideograph;line-height:normal;layout-grid-mode:char"><span style="font-size:12.0pt;font-family:"Times New
Roman",serif"> </span></p>
<p class="MsoNormal" style="margin-bottom:0in;text-align:justify;text-justify:
inter-ideograph;line-height:normal;layout-grid-mode:char"><span style="font-size:12.0pt;font-family:"Times New
Roman",serif">An environmental system is open and
complex, and its evolution in space and time involves a large
number of natural and anthropogenic processes and their
interactions. It is necessary to identify controlling
processes and process interactions for advancing our
understanding of the environmental system to support
science-informed decision-making on environmental protection.
This seminar presents both model- and data-based approaches
that we have recently developed for identifying controlling
processes. The model-based approaches use global sensitivity
analyses, and have a unique feature of addressing uncertainty
not only in process representations (i.e., process models) but
also in process parameters (i.e., process model parameters).
The approaches are </span><span style="font-size:12.0pt;font-family:"Times New
Roman",serif;mso-bidi-theme-font: minor-bidi">designed to
answer the following question: if we are not certain about
process representations and process parameter values, can we
identify <span style="mso-bidi-font-style:italic">important
or influential processes for developing and improving
environmental system models? The model-based approaches are
always computational expensive, but can be applied to an
environmental system with scarce data. The data-based
approaches do not require developing process models, but use
data to identify spatio-temporal patterns and the processes
that control the patterns. This is achieved in our studies
by using cluster analysis (one-way clustering and
co-clustering) and </span><i style="mso-bidi-font-style:
normal">t</i><span style="mso-bidi-font-style:italic">-distributed
Stochastic Neighbor Embedding (t-SNE) methods. An example
application will be presented for a dataset of 13,024
groundwater geochemical measurements for 11 geochemical
parameters of 1,184 groundwater samples collected over 23
years from 29 monitoring in a regional aquifer. The model-
and data-based approaches are an integration of
environmental science, mathematics and statistics, and
computer science. At the last of the presentation, I will
discuss our research on study sinkhole lakes at Lake
Miccosukee and Lake Jackson located in Tallahassee. <br>
</span></span></p>
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Roman",serif;mso-bidi-theme-font: minor-bidi"><span style="mso-bidi-font-style:italic"><br>
</span></span></p>
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inter-ideograph;line-height:normal;layout-grid-mode:char"> </p>
<p class="MsoNormal" style="margin-bottom:0in;text-align:justify;text-justify:
inter-ideograph;line-height:normal;layout-grid-mode:char"><b><span style="font-size:12.0pt;font-family:"Times New
Roman",serif;mso-bidi-theme-font:
minor-bidi;mso-bidi-font-style:italic">The two figures below
are for illustrating the model- and data-based approaches. </span></b></p>
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