https://csdms.colorado.edu/csdms_wiki/api.php?action=feedcontributions&feedformat=atom&user=Tanghui0822 2026-04-30T20:27:25Z User contributions MediaWiki 1.44.2 https://csdms.colorado.edu/csdms_wiki/index.php?title=2019_CSDMS_meeting-031&diff=224141 2019-03-26T15:35:12Z

<p>Tanghui0822: Created page with &quot;{{CSDMS meeting personal information template-2019 |CSDMS meeting first name=Hui |CSDMS meeting last name=Tang |CSDMS meeting institute=The University of Arizona |CSDMS meetin...&quot;</p> <hr /> <div>{{CSDMS meeting personal information template-2019<br /> |CSDMS meeting first name=Hui<br /> |CSDMS meeting last name=Tang<br /> |CSDMS meeting institute=The University of Arizona<br /> |CSDMS meeting city=Tucson<br /> |CSDMS meeting country=United States<br /> |CSDMS meeting state=Arizona<br /> |CSDMS meeting email address=huitang@email.arizona.edu<br /> |CSDMS meeting phone=5403156320<br /> }}<br /> {{CSDMS meeting scholar and pre-meeting2019<br /> |CSDMS meeting pre-conference2019=Quantifying Uncertainty in Earth Systems<br /> }}<br /> {{CSDMS meeting select clinics1 2019<br /> |CSDMS_meeting_select_clinics1_2019=3) Pangeo - Scalable Geoscience Tools Python<br /> }}<br /> {{CSDMS meeting select clinics2 2019<br /> |CSDMS_meeting_select_clinics2_2019=2) Hydroshare - Data<br /> }}<br /> {{CSDMS meeting select clinics3 2019<br /> |CSDMS_meeting_select_clinics3_2019=1) CUDA-enabled DES3D<br /> }}<br /> {{CSDMS scholarships yes no<br /> |CSDMS meeting scholarships=No<br /> }}<br /> {{CSDMS meeting abstract yes no 2019<br /> |CSDMS meeting abstract submit=Yes<br /> }}<br /> {{CSDMS meeting abstract title temp2019}}<br /> {{CSDMS meeting abstract template 2019}}<br /> {{blank line template}}</div>

Tanghui0822 https://csdms.colorado.edu/csdms_wiki/index.php?title=User:Tanghui0822&diff=219267 2018-06-01T01:39:50Z

<p>Tanghui0822: </p> <hr /> <div>{{Signup information member<br /> |First name member=Hui<br /> |Last name member=Tang<br /> |Institute member=University of Arizona<br /> |Department member=Department of Geosciences<br /> |Postal address 1 member=1040 4th Street<br /> Room 542<br /> |Postal address 2 member=Room 542<br /> |City member=Tucson<br /> |Postal code member=85721<br /> |Country member=United States<br /> |State member=Arizona<br /> |Confirm email member=huitang@email.arizona.edu<br /> |Work phone member=5403156320<br /> |Cell phone member=5403156320<br /> |Fax member=5403156320<br /> |Working group member=Terrestrial Working Group, Coastal Working Group, Artificial Intelligence &amp; Machine Learning Initiative<br /> |Emaillist group member=yes<br /> }}</div>

Tanghui0822 https://csdms.colorado.edu/csdms_wiki/index.php?title=2018_CSDMS_meeting-090&diff=218085 2018-05-19T04:01:30Z

<p>Tanghui0822: </p> <hr /> <div>{{CSDMS meeting personal information template-2018<br /> |CSDMS meeting first name=Hui<br /> |CSDMS meeting last name=Tang<br /> |CSDMS meeting institute=University of Arizona<br /> |CSDMS meeting city=Tucson<br /> |CSDMS meeting country=United States<br /> |CSDMS meeting state=Arizona<br /> |CSDMS meeting email address=huitang@email.arizona.edu<br /> |CSDMS meeting phone=5403156320<br /> }}<br /> {{CSDMS meeting scholar and pre-meeting<br /> |CSDMS meeting pre-conference=None<br /> |CSDMS meeting post-conference=No<br /> }}<br /> {{CSDMS meeting select clinics1 2018<br /> |CSDMS_meeting_select_clinics1_2018=1) Google Earth Engine<br /> }}<br /> {{CSDMS meeting select clinics2 2018<br /> |CSDMS_meeting_select_clinics2_2018=3) Data for natural hazards<br /> }}<br /> {{CSDMS meeting select clinics3 2018<br /> |CSDMS_meeting_select_clinics3_2018=4) Artificial Intelligence &amp; Machine Learning<br /> }}<br /> {{CSDMS scholarships yes no<br /> |CSDMS meeting scholarships=No<br /> }}<br /> {{CSDMS meeting abstract yes no 2018<br /> |CSDMS meeting abstract submit=Yes<br /> }}<br /> {{CSDMS meeting abstract title temp2018<br /> |CSDMS meeting abstract title=Physics-informed machine learning approach for predicting post-fire debris flows based on thresholds<br /> }}<br /> {{CSDMS meeting abstract template 2018<br /> |CSDMS meeting abstract=Post-fire debris flow is a common hazard in the western United States. However, after decades of efforts in the debris flow research community, universally applicable post-fire debris flow predict methods are still lacking. Large discrepancies in the post-fire debris flow initiation mechanism are the main source that limits the predictive accuracy of debris flow. Improve and understanding these discrepancies is significant to possibly improve the debris flow modeling. In this work, we propose a data-driven, physics-informed machine learning approach for reconstructing and predicting debris flows. By using a classic supervising modern learning technique based on logistics regression, the logistics regression functions are trained by existing direct field measurements and debris flow numerical simulations from Las Lomas after 2016 Fish fire and then used to predict debris flow in different drainage basin where data are not available. The proposed method is evaluated by two classes of simulations: sediment transport model and runoff model. In runoff simulations, five drainage basins are considered: Las Lomas, Arroyo Seco, Dunsmore 1, Dunsmore 2, Big Tujunga. In sediment transport model, Las Lomas and Arroyo Seco watersheds are applied. Excellent predictive performances were observed in both scenarios, demonstrating the capabilities of the proposed method.<br /> }}<br /> {{blank line template}}</div>

Tanghui0822 https://csdms.colorado.edu/csdms_wiki/index.php?title=2018_CSDMS_meeting-090&diff=217624 2018-05-06T02:47:41Z

<p>Tanghui0822: </p> <hr /> <div>{{CSDMS meeting personal information template-2018<br /> |CSDMS meeting first name=Hui<br /> |CSDMS meeting last name=Tang<br /> |CSDMS meeting institute=University of Arizona<br /> |CSDMS meeting city=Tucson<br /> |CSDMS meeting country=United States<br /> |CSDMS meeting state=Arizona<br /> |CSDMS meeting email address=1040 4th Street<br /> Room 542<br /> |CSDMS meeting phone=5403156320<br /> }}<br /> {{CSDMS meeting scholar and pre-meeting<br /> |CSDMS meeting pre-conference=None<br /> |CSDMS meeting post-conference=No<br /> }}<br /> {{CSDMS meeting select clinics1 2018<br /> |CSDMS_meeting_select_clinics1_2018=1) Google Earth Engine<br /> }}<br /> {{CSDMS meeting select clinics2 2018<br /> |CSDMS_meeting_select_clinics2_2018=3) Data for natural hazards<br /> }}<br /> {{CSDMS meeting select clinics3 2018<br /> |CSDMS_meeting_select_clinics3_2018=4) Artificial Intelligence &amp; Machine Learning<br /> }}<br /> {{CSDMS scholarships yes no<br /> |CSDMS meeting scholarships=No<br /> }}<br /> {{CSDMS meeting abstract yes no 2018<br /> |CSDMS meeting abstract submit=Yes<br /> }}<br /> {{CSDMS meeting abstract title temp2018<br /> |CSDMS meeting abstract title=Physics-informed machine learning approach for predicting post-fire debris flows based on thresholds<br /> }}<br /> {{CSDMS meeting abstract template 2018<br /> |CSDMS meeting abstract=Post-fire debris flows are a common hazard in the western United States. However, after decades of efforts in the debris flow research community, universally applicable post-fire debris flow predict methods are still lacking. Large discrepancies in the post-fire debris flow initiation mechanism are the main source that limits the predictive accuracy of debris flow. Improve and understanding these discrepancies is significant to possibly improve the debris flow modeling. In this work, we propose a data-driven, physics-informed machine learning approach for reconstructing and predicting debris flows. By using a classic supervising modern learning technique based on logistics regression, the logistics regression functions are trained by existing direct field measurements and debris flow numerical simulations from Las Lomas after 2016 Fish fire and then used to predict debris flow in different drainage basin where data are not available. The proposed method is evaluated by two classes of simulations: sediment transport model and runoff model. In runoff simulations, five drainage basins are considered: Las Lomas, Arroyo Seco, Dunsmore 1, Dunsmore 2, Big Tujunga. In sediment transport model, Las Lomas and Arroyo Seco watersheds are applied. Excellent predictive performances were observed in both scenarios, demonstrating the capabilities of the proposed method.<br /> }}<br /> {{blank line template}}</div>

Tanghui0822 https://csdms.colorado.edu/csdms_wiki/index.php?title=2018_CSDMS_meeting-090&diff=217623 2018-05-06T02:47:12Z

<p>Tanghui0822: </p> <hr /> <div>{{CSDMS meeting personal information template-2018<br /> |CSDMS meeting first name=Hui<br /> |CSDMS meeting last name=Tang<br /> |CSDMS meeting institute=University of Arizona<br /> |CSDMS meeting city=Tucson<br /> |CSDMS meeting country=United States<br /> |CSDMS meeting state=Arizona<br /> |CSDMS meeting email address=1040 4th Street<br /> Room 542<br /> |CSDMS meeting phone=5403156320<br /> }}<br /> {{CSDMS meeting scholar and pre-meeting<br /> |CSDMS meeting pre-conference=None<br /> |CSDMS meeting post-conference=No<br /> }}<br /> {{CSDMS meeting select clinics1 2018<br /> |CSDMS_meeting_select_clinics1_2018=1) Google Earth Engine<br /> }}<br /> {{CSDMS meeting select clinics2 2018<br /> |CSDMS_meeting_select_clinics2_2018=3) Data for natural hazards<br /> }}<br /> {{CSDMS meeting select clinics3 2018<br /> |CSDMS_meeting_select_clinics3_2018=4) Artificial Intelligence &amp; Machine Learning<br /> }}<br /> {{CSDMS scholarships yes no<br /> |CSDMS meeting scholarships=No<br /> }}<br /> {{CSDMS meeting abstract yes no 2018<br /> |CSDMS meeting abstract submit=Yes<br /> }}<br /> {{CSDMS meeting abstract title temp2018<br /> |CSDMS meeting abstract title=Physics-informed machine learning approach for predicting post-fire debris flows based on physical thresholds<br /> }}<br /> {{CSDMS meeting abstract template 2018<br /> |CSDMS meeting abstract=Post-fire debris flows are a common hazard in the western United States. However, after decades of efforts in the debris flow research community, universally applicable post-fire debris flow predict methods are still lacking. Large discrepancies in the post-fire debris flow initiation mechanism are the main source that limits the predictive accuracy of debris flow. Improve and understanding these discrepancies is significant to possibly improve the debris flow modeling. In this work, we propose a data-driven, physics-informed machine learning approach for reconstructing and predicting debris flows. By using a classic supervising modern learning technique based on logistics regression, the logistics regression functions are trained by existing direct field measurements and debris flow numerical simulations from Las Lomas after 2016 Fish fire and then used to predict debris flow in different drainage basin where data are not available. The proposed method is evaluated by two classes of simulations: sediment transport model and runoff model. In runoff simulations, five drainage basins are considered: Las Lomas, Arroyo Seco, Dunsmore 1, Dunsmore 2, Big Tujunga. In sediment transport model, Las Lomas and Arroyo Seco watersheds are applied. Excellent predictive performances were observed in both scenarios, demonstrating the capabilities of the proposed method.<br /> }}<br /> {{blank line template}}</div>

Tanghui0822 https://csdms.colorado.edu/csdms_wiki/index.php?title=2018_CSDMS_meeting-090&diff=217562 2018-04-28T00:23:59Z

<p>Tanghui0822: </p> <hr /> <div>{{CSDMS meeting personal information template-2018<br /> |CSDMS meeting first name=Hui<br /> |CSDMS meeting last name=Tang<br /> |CSDMS meeting institute=University of Arizona<br /> |CSDMS meeting city=Tucson<br /> |CSDMS meeting country=United States<br /> |CSDMS meeting state=Arizona<br /> |CSDMS meeting email address=1040 4th Street<br /> Room 542<br /> |CSDMS meeting phone=5403156320<br /> }}<br /> {{CSDMS meeting scholar and pre-meeting<br /> |CSDMS meeting pre-conference=None<br /> |CSDMS meeting post-conference=No<br /> }}<br /> {{CSDMS meeting select clinics1 2018<br /> |CSDMS_meeting_select_clinics1_2018=1) Google Earth Engine<br /> }}<br /> {{CSDMS meeting select clinics2 2018<br /> |CSDMS_meeting_select_clinics2_2018=3) Data for natural hazards<br /> }}<br /> {{CSDMS meeting select clinics3 2018<br /> |CSDMS_meeting_select_clinics3_2018=4) Artificial Intelligence &amp; Machine Learning<br /> }}<br /> {{CSDMS scholarships yes no<br /> |CSDMS meeting scholarships=No<br /> }}<br /> {{CSDMS meeting abstract yes no 2018<br /> |CSDMS meeting abstract submit=Yes<br /> }}<br /> {{CSDMS meeting abstract title temp2018<br /> |CSDMS meeting abstract title=Physics-informed machine learning approach for predicting post-fire debris flows based on physical thresholds<br /> }}<br /> {{CSDMS meeting abstract template 2018}}<br /> {{blank line template}}</div>

Tanghui0822 https://csdms.colorado.edu/csdms_wiki/index.php?title=2018_CSDMS_meeting-090&diff=216127 2018-02-09T16:37:37Z

<p>Tanghui0822: </p> <hr /> <div>{{CSDMS meeting personal information template-2018<br /> |CSDMS meeting first name=Hui<br /> |CSDMS meeting last name=Tang<br /> |CSDMS meeting institute=University of Arizona<br /> |CSDMS meeting city=Tucson<br /> |CSDMS meeting country=United States<br /> |CSDMS meeting state=Arizona<br /> |CSDMS meeting email address=1040 4th Street<br /> Room 542<br /> |CSDMS meeting phone=5403156320<br /> }}<br /> {{CSDMS meeting scholar and pre-meeting<br /> |CSDMS meeting pre-conference=None<br /> |CSDMS meeting post-conference=No<br /> }}<br /> {{CSDMS meeting select clinics1 2018<br /> |CSDMS_meeting_select_clinics1_2018=1) Google Earth Engine<br /> }}<br /> {{CSDMS meeting select clinics2 2018<br /> |CSDMS_meeting_select_clinics2_2018=1) Structure from Motion (SfM)<br /> }}<br /> {{CSDMS meeting select clinics3 2018<br /> |CSDMS_meeting_select_clinics3_2018=4) Artificial Intelligence &amp; Machine Learning<br /> }}<br /> {{CSDMS scholarships yes no<br /> |CSDMS meeting scholarships=No<br /> }}<br /> {{CSDMS meeting abstract yes no 2018<br /> |CSDMS meeting abstract submit=Yes<br /> }}<br /> {{CSDMS meeting abstract title temp2018}}<br /> {{CSDMS meeting abstract template 2018}}<br /> {{blank line template}}</div>

Tanghui0822 https://csdms.colorado.edu/csdms_wiki/index.php?title=2018_CSDMS_meeting-090&diff=216126 2018-02-09T16:36:58Z

<p>Tanghui0822: Created page with &quot;{{CSDMS meeting personal information template-2018 |CSDMS meeting first name=Hui |CSDMS meeting last name=Tang |CSDMS meeting institute=Un |CSDMS meeting city=Tucson |CSDMS me...&quot;</p> <hr /> <div>{{CSDMS meeting personal information template-2018<br /> |CSDMS meeting first name=Hui<br /> |CSDMS meeting last name=Tang<br /> |CSDMS meeting institute=Un<br /> |CSDMS meeting city=Tucson<br /> |CSDMS meeting country=United States<br /> |CSDMS meeting state=Arizona<br /> |CSDMS meeting email address=1040 4th Street<br /> Room 542<br /> |CSDMS meeting phone=5403156320<br /> }}<br /> {{CSDMS meeting scholar and pre-meeting<br /> |CSDMS meeting pre-conference=None<br /> |CSDMS meeting post-conference=No<br /> }}<br /> {{CSDMS meeting select clinics1 2018<br /> |CSDMS_meeting_select_clinics1_2018=1) Google Earth Engine<br /> }}<br /> {{CSDMS meeting select clinics2 2018<br /> |CSDMS_meeting_select_clinics2_2018=1) Structure from Motion (SfM)<br /> }}<br /> {{CSDMS meeting select clinics3 2018<br /> |CSDMS_meeting_select_clinics3_2018=4) Artificial Intelligence &amp; Machine Learning<br /> }}<br /> {{CSDMS scholarships yes no<br /> |CSDMS meeting scholarships=No<br /> }}<br /> {{CSDMS meeting abstract yes no 2018<br /> |CSDMS meeting abstract submit=Yes<br /> }}<br /> {{CSDMS meeting abstract title temp2018}}<br /> {{CSDMS meeting abstract template 2018}}<br /> {{blank line template}}</div>

Tanghui0822 https://csdms.colorado.edu/csdms_wiki/index.php?title=User:Tanghui0822&diff=215926 2018-02-06T15:33:38Z

<p>Tanghui0822: </p> <hr /> <div>{{Signup information member<br /> |First name member=Hui<br /> |Last name member=Tang<br /> |Institute member=University of Arizona<br /> |Department member=Department of Geosciences<br /> |Postal address 1 member=1040 4th Street<br /> Room 542<br /> |Postal address 2 member=Room 542<br /> |City member=Tucson<br /> |Postal code member=85721<br /> |Country member=United States<br /> |State member=Arizona<br /> |Confirm email member=huitang@email.arizona.edu<br /> |Work phone member=5403156320<br /> |Cell phone member=5403156320<br /> |Fax member=5403156320<br /> |Working group member=Terrestrial Working Group, Coastal Working Group<br /> |Emaillist group member=yes<br /> }}</div>

Tanghui0822 https://csdms.colorado.edu/csdms_wiki/index.php?title=User:Tanghui0822&diff=215925 2018-02-06T15:32:15Z

<p>Tanghui0822: </p> <hr /> <div>{{Signup information member<br /> |First name member=Hui<br /> |Last name member=Tang<br /> |Institute member=University of Arizona<br /> |Postal address 1 member=1040 4th Street<br /> Room 542<br /> |Postal address 2 member=1040 4th Street<br /> Room 542<br /> |City member=Tucson<br /> |Postal code member=85721<br /> |Country member=United States<br /> |State member=Arizona<br /> |Confirm email member=huitang@email.arizona.edu<br /> |Work phone member=5403156320<br /> |Cell phone member=5403156320<br /> |Fax member=5403156320<br /> |Working group member=Terrestrial Working Group, Coastal Working Group<br /> |Emaillist group member=yes<br /> }}</div>

Tanghui0822 https://csdms.colorado.edu/csdms_wiki/index.php?title=Meeting_confirmation_CTSP_2018-032&diff=215924 2018-02-06T15:31:02Z

<p>Tanghui0822: Created page with &quot;{{Meeting confirmation personal information |CSDMSmeetingPerson=Tanghui0822 |MeetingAcceptDecline=Accept }} {{Meeting logistics |Hotelnights=Tuesday April 24, Wednesday April...&quot;</p> <hr /> <div>{{Meeting confirmation personal information<br /> |CSDMSmeetingPerson=Tanghui0822<br /> |MeetingAcceptDecline=Accept<br /> }}<br /> {{Meeting logistics<br /> |Hotelnights=Tuesday April 24, Wednesday April 25, Thursday April 26<br /> |MultipleRoomMate=Yes<br /> |RoomGender=Male<br /> |DinnerYesNo=Yes<br /> |MainCourse=Chicken<br /> }}<br /> {{Meeting abstract yes no<br /> |CSDMS meeting abstract submit=Yes<br /> }}<br /> {{CSDMS meeting abstract title temp CTSP}}</div>

Tanghui0822 https://csdms.colorado.edu/csdms_wiki/index.php?title=Meeting_application_CTSP_2018-100&diff=215261 2018-01-16T04:13:35Z

<p>Tanghui0822: Created page with &quot;{{Meeting personal information |CSDMS meeting first name=Hui |CSDMS meeting last name=Tang |CSDMS meeting affiliation=University of Arizona |CSDMS meeting city=Tucson |CSDMS m...&quot;</p> <hr /> <div>{{Meeting personal information<br /> |CSDMS meeting first name=Hui<br /> |CSDMS meeting last name=Tang<br /> |CSDMS meeting affiliation=University of Arizona<br /> |CSDMS meeting city=Tucson<br /> |CSDMS meeting country=United States<br /> |CSDMS meeting state=Arizona<br /> |CSDMS meeting email address=huitang@email.arizona.edu<br /> Room 542<br /> |CSDMS meeting phone=5403156320<br /> }}<br /> {{Meeting statement interest<br /> |Meetingstatement_of_interest_submit=I am currently a postdoc research fellow at the Department of Geosciences at the University of Arizona. I have wide interests in geomorphological and tectonic research using numerical modeling combined with field observations. It will be a great opportunity of this workshop to discuss and share my research and idea with my colleagues and potential collaborators. <br /> <br /> In my present and previous research, I mainly worked on developing a couple of model frameworks about sediment transport and landscape evolution from the mountainous environment to coastal environment. One of my previous research is about hazard-related surface processes in subduction zone like earthquakes and tsunamis. We are trying to develop a physical process-based model framework to simulate the landscape evolution during tsunami and earthquakes. Based on tsunami deposit in the geological record, we can analyze the frequency of earthquakes or tsunamis in a given period and then reconstruct the coastal landscape evolution history. My present research is about post-fire debris flows and landslides in Southern California area. Sediment flux in the channels often increases by more than an order of magnitude after fires. Rainstorms following fires can lead to channel infilling and debris flows that cause loss of life and property. Since the post-fire debris flows significantly change the local landscape, now we are trying to account debris flow into our landscape evolution models to predict landform response to climate and tectonics. <br /> <br /> In this workshop, I would like to present and get feedback about our coastal landscape evolution model and debris flow model. I also want to expand my ideas and ways for incorporating our debris flow and landslide model with tectonic models. It will be a great chance to discuss with tectonics modelers who are interested in integrating tectonics into surface processes model to share ideas or write a proposal together.<br /> }}<br /> {{Meeting abstract yes no<br /> |CSDMS meeting abstract submit=Yes<br /> }}</div>

Tanghui0822 https://csdms.colorado.edu/csdms_wiki/index.php?title=Annualmeeting:2017_CSDMS_meeting-042&diff=120206 2017-02-24T18:02:40Z

<p>Tanghui0822: Created page with &quot;{{CSDMS meeting personal information template-2014 |CSDMS meeting first name=Hui |CSDMS meeting last name=Tang |CSDMS meeting institute=Virginia Tech |CSDMS meeting city=Black...&quot;</p> <hr /> <div>{{CSDMS meeting personal information template-2014<br /> |CSDMS meeting first name=Hui<br /> |CSDMS meeting last name=Tang<br /> |CSDMS meeting institute=Virginia Tech<br /> |CSDMS meeting city=Blacksburg<br /> |CSDMS meeting country=United States<br /> |CSDMS meeting state=Virginia<br /> |CSDMS meeting email address=tanghui@vt.edu<br /> |CSDMS meeting phone=5403156320<br /> }}<br /> {{CSDMS meeting scholar and pre-meeting<br /> |CSDMS meeting pre-conference=None<br /> |CSDMS meeting post-conference=No<br /> }}<br /> {{CSDMS meeting select clinics1<br /> |CSDMS_meeting_select_clinics1=2) ANUGA - river flood morphodynamics<br /> }}<br /> {{CSDMS meeting select clinics2<br /> |CSDMS_meeting_select_clinics2=4) The Sediment Experimentalist Network (SEN)<br /> }}<br /> {{CSDMS meeting select clinics3<br /> |CSDMS_meeting_select_clinics3=1) Parflow groundwater modeling<br /> }}<br /> {{CSDMS scholarships yes no<br /> |CSDMS meeting scholarships=No<br /> }}<br /> {{CSDMS meeting abstract yes no<br /> |CSDMS meeting abstract submit=Yes<br /> }}<br /> {{CSDMS meeting abstract title temp}}<br /> {{CSDMS meeting abstract template}}<br /> {{blank line template}}</div>

Tanghui0822