Application of the UNECE Environmental Conventions in Central Asia

Libert, Bo

doi:10.1007/698_2017_139

Cited by 4 publications

(3 citation statements)

References 4 publications

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“…At the local level (e.g., in Tajikistan), flood is sometimes the dominant risk in terms of economic losses (World Bank et al, 2012). Considering the deteriorated protection infrastructure and vulnerabilities in several sectors, floods can cause considerable damage to housing, infrastructure, and agriculture (Libert, 2008). 120 3 Data and models 130…”

Section: Study Areamentioning

confidence: 99%

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Large-scale flood risk assessment in data scarce areas: an application to Central Asia

Coccia,

Ceresa,

Bussi

et al. 2023

Preprint

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Abstract. The countries of Kazakhstan, Kyrgyz Republic, Tajikistan, Turkmenistan and Uzbekistan in Central Asia are highly prone to natural hazards, more specifically, floods, earthquakes, and landslides. The European Union, in collaboration with the World Bank and the GFDRR, created the program “Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia” (SFRARR), aiming to advance disaster and climate resilience in Central Asia. Within the framework of the SFRARR project, the “Regionally consistent risk assessment for earthquakes and floods and selective landslide scenario analysis for strengthening financial resilience and accelerating risk reduction in Central Asia” was conceived to help handle and achieve the parent project objectives. A fully probabilistic risk assessment for pluvial and fluvial floods has been carried out for Kazakhstan, Kyrgyz Republic, Tajikistan, Turkmenistan and Uzbekistan for supporting regional and national risk financing and insurance applications, including potential indemnity and/or parametric risk financing solutions for the structuring of a regional program. The pluvial flood part of the study, however, is omitted here for brevity. A homogenized risk assessment methodology for the five countries and across multiple hazards (floods and earthquake) and asset types has been adopted to obtain strategic financial solutions consistent across geographical areas and across economic sectors. This article presents the data, model, methodology and results for the five Central Asia countries of the flood risk assessment, which represents the first high-resolution regional-scale transboundary risk assessment study in the area aiming at providing tools for decision-making. The output information will inform and enable the World Bank to initiate a policy dialogue. Currently, the availability of risk information for Disaster Risk Management (DRM) and Disaster Risk Financing and Insurance (DRFI) activities remains variable across the region and has been provided by previous projects focusing on a single country. Moreover, few of these studies have quantified multi-hazard disaster risk, and, to our best knowledge, none have done so for the whole region using probabilistic methods applied with the sufficient fidelity required to robustly inform the development of DRFI solutions.

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Section: Study Areamentioning

confidence: 99%

“…Pilguy and L.V. Davlyatshoeva, 2006). This scarcity of loss data limits the efficacy of the 425 flood risk model calibration effort.…”

Section: Flood Risk Assessment 385mentioning

confidence: 99%

Large-scale flood risk assessment in data scarce areas: an application to Central Asia

Coccia,

Ceresa,

Bussi

et al. 2023

Preprint

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“…The upstream countries (Tajikistan and Kyrgyzstan) account for 68.5% of total available surface water resources in Central Asia, and their water consumptions are less than 10%. The downstream countries (Kazakhstan, Turkmenistan and Uzbekistan) account for more than 85% of total water consumption, but have access to only about 30% of Central Asia’s water resources (Libert et al., 2008). In contrast to the distribution of water resources, downstream countries are rich in coal, oil and natural gas, while the upstream countries are poor in fossil energy and mainly rely on hydropower.…”

Section: Introductionmentioning

confidence: 99%

Collaborative Management of Water‐Energy‐Food‐Ecosystems Nexus in Central Asia Under Uncertainty

Ma,

Li,

Huang

et al. 2024

Water Resources Research

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Collaborative management of the water‐energy‐food‐ecosystems (WEFE) nexus can contribute significantly to sustainable development. However, multiple decision‐making levels with diverse preferences and multiple uncertainties in different forms pose intractable challenges to the management process. In this study, a novel optimization method named as multi‐level chance‐constrained fuzzy programming (MCFP) is developed to jointly manage the WEFE nexus. MCFP has advantages in evaluating trade‐offs among multiple competitive decision makers, solving decentralized planning problems with hierarchical structure, and tackling uncertainties expressed as randomness and vagueness. MCFP is then applied to the WEFE nexus in Central Asia, where five countries, 43 states, six water sources, and eight water users are involved over a long‐term planning horizon (2021–2050). A set of scenarios are designed to reflect decision‐making preferences based on different irrigation efficiencies, food, ecological and electricity demands as well as constraint‐violation probability and system credibility levels. The major findings are: (a) the proportion of agricultural water allocation would reduce to 45.4%–56.6% by 2050 to save more water for ensuring ecological restoration and energy supply; and (b) in order to balance water demands and support regional sustainable development, policymakers should sacrifice some of the benefits, set strict arable land limits for cereal crops, improve irrigation efficiency through adopting drip and sprinkler irrigation, and avoid the effects of the irrigation efficiency paradox. The findings are helpful for policymakers in gaining insight into the interrelationships of water, energy, food and ecosystems as well as making decisions for collaborative management of the WEFE nexus system.

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Trust in Transboundary Water Cooperation: A Social Constructivist Approach

Sharipova

2023

Springer Water

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Application of the UNECE Environmental Conventions in Central Asia

Cited by 4 publications

References 4 publications

Large-scale flood risk assessment in data scarce areas: an application to Central Asia

Large-scale flood risk assessment in data scarce areas: an application to Central Asia

Collaborative Management of Water‐Energy‐Food‐Ecosystems Nexus in Central Asia Under Uncertainty

Trust in Transboundary Water Cooperation: A Social Constructivist Approach

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