자료유형  

 학위논문

Control Number  

0017164002

International Standard Book Number  

9798384464211

Dewey Decimal Classification Number  

628

Main Entry-Personal Name  

Cerasoli, Sara.

Publication, Distribution, etc. (Imprint  

[S.l.] : Princeton University., 2024

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2024

Physical Description  

208 p.

General Note  

Source: Dissertations Abstracts International, Volume: 86-04, Section: B.

General Note  

Advisor: Porporato, Amilcare.

Dissertation Note  

Thesis (Ph.D.)--Princeton University, 2024.

Summary, Etc.  

요약Natural climate solutions (NCS) and sustainable water management are critical for mitigating and adapting to global environmental change. However, the effectiveness of NCS is subject to large uncertainties due to complex land-atmosphere interactions and climate feedbacks. Similarly, groundwater sustainability is threatened by unsustainable pumping practices and increasing drought risks. This thesis integrates process-based modeling, satellite observations, and optimization techniques to quantify the impacts and uncertainties of NCS and water management strategies and identify optimal allocation solutions. First, the biophysical effects of reforestation on surface energy fluxes and cloud feedbacks are assessed using remote sensing and ecohydrological modeling, highlighting the decisive role of clouds in determining the net climate benefits. To manage the risks and uncertainties associated with NCS, a portfolio optimization approach is developed to design diversified investment strategies across multiple natural and engineered carbon removal options. The optimization framework is then extended to the problem of sustainable groundwater management, using optimal control theory to diagnose inefficient pumping practices and derive alternative strategies that reconcile agricultural productivity with long-term aquifer sustainability. Building on these insights, the thesis presents a novel extension of the Budyko framework that explicitly accounts for irrigation practices in agricultural water management. By integrating this extended Budyko model with multi-objective optimization techniques, the thesis explores sustainable irrigation strategies that balance economic, environmental, and social objectives under changing climatic conditions. This integrated framework provides a mechanistic understanding of the coupled water-vegetation-climate dynamics at the catchment scale and enables the identification of Pareto-optimal solutions that trade off competing water uses and users. By advancing the scientific understanding and mathematical modeling of coupled carbon-water cycle dynamics across multiple scales and sectors, this thesis aims to inform robust and adaptive resource allocation decisions in a rapidly changing world. The novel frameworks and findings can guide the design of climate mitigation and adaptation policies, sustainable land and water management practices, and resilient agricultural systems that support both human well-being and ecological functioning.

Subject Added Entry-Topical Term  

Environmental engineering.

Subject Added Entry-Topical Term  

Natural resource management.

Subject Added Entry-Topical Term  

Water resources management.

Subject Added Entry-Topical Term  

Remote sensing.

Index Term-Uncontrolled  

Natural climate solutions

Index Term-Uncontrolled  

Ecohydrological modeling

Index Term-Uncontrolled  

Ecological functioning

Added Entry-Corporate Name  

Princeton University Civil and Environmental Engineering

Host Item Entry  

Dissertations Abstracts International. 86-04B.

Electronic Location and Access  

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Control Number  

joongbu:656502