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Design-Flood Estimation Under Non-Stationarity- [electronic resource]
Design-Flood Estimation Under Non-Stationarity- [electronic resource]
- 자료유형
- 학위논문
- Control Number
- 0016935180
- International Standard Book Number
- 9798380711647
- Dewey Decimal Classification Number
- 551.63
- Main Entry-Personal Name
- Chandramauli, Awasthi.
- Publication, Distribution, etc. (Imprint
- [S.l.] : North Carolina State University., 2023
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2023
- Physical Description
- 1 online resource(167 p.)
- General Note
- Source: Dissertations Abstracts International, Volume: 85-05, Section: B.
- General Note
- Advisor: Arumugam, Sankarasubramanian.
- Dissertation Note
- Thesis (Ph.D.)--North Carolina State University, 2023.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Summary, Etc.
- 요약Water-infrastructures are often built to serve human society for different purposes, such as flood protection and water supply. Despite these efforts, human societies have faced various challenges due to enormous floods and droughts. These challenges from hydroclimatic extremes are critical in water resources planning and management and pose design challenges. The annual flood losses in the United States mount to a $6 Billion dollars and 140 deaths. A robust infrastructure design based on an accurate prediction of design-flood is expected to reduce flood losses considerably. Given the observed changes in climate and land cover, traditional design-flood estimation methods based on the stationary assumption must be revised. A new design-flood estimation method that accounts for non-stationarity present in flood process needs to be developed. These methods can be used for designing new water infrastructures, expanding the capacity of the existing infrastructures by quantifying the change in historical estimates, and for assessing the vulnerability of old infrastructure designed based on conventional methods under the non-stationary climate. The future projection of flood-risk and design-flood estimates can be informed by climate change scenarios from global climate models. In this dissertation, a novel design-flood estimation approach, termed as MM-NFFA, is developed that overcomes the limitations of the existing stationary methods. The study also highlights the limitations of the widely used practice of relying on simple trend tests for identifying basins undergoing changes in their historical design-flood. In this context, a hypothesis-testing framework, De-FloCD, is developed to examine whether changes in design-floods are statistically significant between two design periods. A novel climate-informed flood-risk projection approach, ASLLR-MM, is also presented that predicts design-flood quantiles for near-term (10-30 years) planning horizon. The flood quantile estimation under near-term climate change is applied on the natural basins. We also evaluate how changes in flood-risk can be better utilized to meet the increasing water demand for growing population. In this context, the conflicting goals of the Lake Jordan reservoir, i.e., water supply and flood-protection, make its operation challenging. The operational challenges are expected to increase with increasing water demand and associated uncertainties due to changing climate. An adaptive climate-informed reservoir operation policy is proposed in this study that estimates monthly flood volume by efficiently allocating water between conservation storage and flood storage. In the present dissertation, I have developed four frameworks for achieving four research objectives: a) developing a method for estimating design-flood under non-stationary climate, b) detecting statistically significant changes in the observed design-flood estimates between two periods, c) developing a climate-informed approach for projecting future flood risk, and d) mitigating the drought risk on the reservoir under potential changes in water demand and streamflow. The developed frameworks can inform and assist the water resources planners and managers in reducing both flood risk and drought risk.
- Subject Added Entry-Topical Term
- Skewness.
- Subject Added Entry-Topical Term
- Precipitation.
- Subject Added Entry-Topical Term
- Drought.
- Subject Added Entry-Topical Term
- Water shortages.
- Subject Added Entry-Topical Term
- Floods.
- Subject Added Entry-Topical Term
- Basins.
- Subject Added Entry-Topical Term
- Design.
- Subject Added Entry-Topical Term
- Time series.
- Subject Added Entry-Topical Term
- Hydraulics.
- Subject Added Entry-Topical Term
- Climate change.
- Subject Added Entry-Topical Term
- Geomorphology.
- Subject Added Entry-Topical Term
- Hydraulic engineering.
- Subject Added Entry-Topical Term
- Water resources management.
- Added Entry-Corporate Name
- North Carolina State University.
- Host Item Entry
- Dissertations Abstracts International. 85-05B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:642882