Clustering Hydrological Homogeneous Regions and Neural Network Based Index Flood Estimation for Ungauged Catchments: an Example of the Chindwin River in Myanmar

Research output: Journal contributionsJournal articlesResearchpeer-review

Standard

Clustering Hydrological Homogeneous Regions and Neural Network Based Index Flood Estimation for Ungauged Catchments: an Example of the Chindwin River in Myanmar. / Latt, Zaw Zaw ; Wittenberg, Hartmut; Urban, Brigitte.
In: Water Resources Management, Vol. 29, No. 3, 01.02.2015, p. 913-928.

Research output: Journal contributionsJournal articlesResearchpeer-review

Harvard

APA

Vancouver

Bibtex

@article{607c664db6e74672a26f7e64cd0a0ec7,
title = "Clustering Hydrological Homogeneous Regions and Neural Network Based Index Flood Estimation for Ungauged Catchments: an Example of the Chindwin River in Myanmar",
abstract = "A neural network-based regionalization approach using catchment descriptors was proposed for flood management of ungauged catchments in a developing country with low density of the hydrometric network. Through the example of the Chindwin River basin in Myanmar, the study presents the application of principal components and clustering techniques for detecting hydrological homogeneous regions, and the artificial neural network (ANN) approach for regional index flood estimation. Based on catchment physiographic and climatic attributes, the principal component analysis yields three component solutions with 79.2 % cumulative variance. The Ward's method was used to search initial cluster numbers prior to k-means clustering, which then objectively classifies the entire catchment into four homogeneous groups. For each homogeneous region clustered by the leading principal components, the regional index flood models are developed via the ANN and regression methods based on the longest flow path, basin elevation, basin slope, soil conservation curve number and mean annual rainfall. The ANN approach captures the nonlinear relationships between the index floods and the catchment descriptors for each cluster, showing its superiority towards the conventional regression method. The results would contribute to national water resources planning and management in Myanmar as well as in other similar regions.",
keywords = "Environmental planning, Artificial neural network, Index flood estimation, Multivariate clustering, Physiographic parameter, Principal component, Ungauged catchment",
author = "Latt, {Zaw Zaw} and Hartmut Wittenberg and Brigitte Urban",
year = "2015",
month = feb,
day = "1",
doi = "10.1007/s11269-014-0851-4",
language = "English",
volume = "29",
pages = "913--928",
journal = "Water Resources Management",
issn = "0920-4741",
publisher = "Springer Science and Business Media B.V.",
number = "3",

}

RIS

TY - JOUR

T1 - Clustering Hydrological Homogeneous Regions and Neural Network Based Index Flood Estimation for Ungauged Catchments

T2 - an Example of the Chindwin River in Myanmar

AU - Latt, Zaw Zaw

AU - Wittenberg, Hartmut

AU - Urban, Brigitte

PY - 2015/2/1

Y1 - 2015/2/1

N2 - A neural network-based regionalization approach using catchment descriptors was proposed for flood management of ungauged catchments in a developing country with low density of the hydrometric network. Through the example of the Chindwin River basin in Myanmar, the study presents the application of principal components and clustering techniques for detecting hydrological homogeneous regions, and the artificial neural network (ANN) approach for regional index flood estimation. Based on catchment physiographic and climatic attributes, the principal component analysis yields three component solutions with 79.2 % cumulative variance. The Ward's method was used to search initial cluster numbers prior to k-means clustering, which then objectively classifies the entire catchment into four homogeneous groups. For each homogeneous region clustered by the leading principal components, the regional index flood models are developed via the ANN and regression methods based on the longest flow path, basin elevation, basin slope, soil conservation curve number and mean annual rainfall. The ANN approach captures the nonlinear relationships between the index floods and the catchment descriptors for each cluster, showing its superiority towards the conventional regression method. The results would contribute to national water resources planning and management in Myanmar as well as in other similar regions.

AB - A neural network-based regionalization approach using catchment descriptors was proposed for flood management of ungauged catchments in a developing country with low density of the hydrometric network. Through the example of the Chindwin River basin in Myanmar, the study presents the application of principal components and clustering techniques for detecting hydrological homogeneous regions, and the artificial neural network (ANN) approach for regional index flood estimation. Based on catchment physiographic and climatic attributes, the principal component analysis yields three component solutions with 79.2 % cumulative variance. The Ward's method was used to search initial cluster numbers prior to k-means clustering, which then objectively classifies the entire catchment into four homogeneous groups. For each homogeneous region clustered by the leading principal components, the regional index flood models are developed via the ANN and regression methods based on the longest flow path, basin elevation, basin slope, soil conservation curve number and mean annual rainfall. The ANN approach captures the nonlinear relationships between the index floods and the catchment descriptors for each cluster, showing its superiority towards the conventional regression method. The results would contribute to national water resources planning and management in Myanmar as well as in other similar regions.

KW - Environmental planning

KW - Artificial neural network

KW - Index flood estimation

KW - Multivariate clustering

KW - Physiographic parameter

KW - Principal component

KW - Ungauged catchment

UR - http://www.scopus.com/inward/record.url?scp=84925519936&partnerID=8YFLogxK

U2 - 10.1007/s11269-014-0851-4

DO - 10.1007/s11269-014-0851-4

M3 - Journal articles

VL - 29

SP - 913

EP - 928

JO - Water Resources Management

JF - Water Resources Management

SN - 0920-4741

IS - 3

ER -

Recently viewed

Activities

  1. Coherent sets in nonautonomous dynamics
  2. Memory Acts: Memory without Representation.: Theoretical and Methodological Suggestions
  3. Alterations of a visual and how they work for and at the boundaries of an interorganizational team: A multimodal exploration
  4. The golden age of software architecture better named the middle age of software architecture - Some provocative thoughts
  5. Judgement Practices in the Artistic Field
  6. Princeton University
  7. The global classroom. Introduction, presenation and workshop: Introduction, presenation and workshop
  8. Activating an Integrative Mindset Improves the Subjective Outcomes of Value-Driven Conflicts
  9. 13th IFAC and IEEE Conference on Programmable Devices and Embedded Systems - PDeS 2015
  10. Workshop of the Nordic Research Network in Memory Studies - 2013
  11. Plasma shock wave simulation for laser shock processing
  12. Workshop: The Black Technical Object
  13. Modelling biodegradability based on OECD 301D data for the design of mineralising ionic liquids
  14. Transdisciplinary Evaluation of Different Coastal Adaptation Strategies: Integrating Regional Perceptions of Scientists, Practitioners and the Public
  15. Interpretation and contestation of fracking in a changing context: The case of Germany and its proclaimed energy transition
  16. Reading strategy instruction and students' perceptions on fostering self-regulated reading
  17. 4th CRITICS Workshop and Winter School on “Critical Transitions in Complex Systems: Mathematical theory and applications”
  18. Interpreting integrative political strategies as boundary objects
  19. Interactions between social movements and international organisations
  20. Management and lnternational Networking Workshop 2014

Publications

  1. Modeling Conditional Dependencies in Multiagent Trajectories
  2. For a return to the forgotten formula: 'Data 1 + Data 2 > Data 1'
  3. An evaluation of BPR methodologies adopting NIMSAD: A systematic framework for understanding and evaluating methodologies
  4. A PHENOMENOGRAPHICAL STUDY OF CHILDRENS’ SPATIAL THOUGHT WHILE USING MAPS IN REAL SPACES
  5. Age effects on controlling tools with sensorimotor transformations
  6. A cascade controller structure using an internal PID controller for a hybrid piezo-hydraulic actuator in camless internal combustion engines
  7. Evaluating structural and compositional canopy characteristics to predict the light-demand signature of the forest understorey in mixed, semi-natural temperate forests
  8. Automatic feature selection for anomaly detection
  9. Performance incentives in activity-based management
  10. Comparison of Bio-Inspired Algorithms in a Case Study for Optimizing Capacitor Bank Allocation in Electrical Power Distribution
  11. Tuning kalman filter in linear systems
  12. How mobile app design impacts user responses to mixed self-tracking outcomes
  13. Implementation of formative assessment
  14. A Comparative Study for Fisheye Image Classification
  15. The role of task meaning on output in groups
  16. Optimal scheduling of AGVs in a reentrant blocking job-shop
  17. General Patterns and Conclusions
  18. Model-based nonlinear filter design for tower load reduction of wind power plants with active power control capability
  19. Self-perceived quality of life predicts mortality risk better than a multi-biomarker panel, but the combination of both does best
  20. Comparison of Supervised versus Self-Administered Stretching on Bench Press Maximal Strength and Force Development
  21. Putting adaptive planning into practice: A meta-analysis of current applications
  22. Almost-invariant and finite-time coherent sets
  23. A common European asylum system? How variation in Member States’ administrative capacity undermines EU asylum harmonisation
  24. Studying properties of water data using manifold-aware anomaly detectors
  25. Algorithmisches Management
  26. Quantification of amino acids in fermentation media by isocratic HPLC analysis of their