Blue water scarcity in the Black Sea catchment: Identifying key actors in the water-ecosystem-energy-food nexus

Fasel, Marc; Bréthaut, Christian; Freund, Elham Rouholahnejad; Lacayo, Martin; Lehmann, Anthony

doi:10.1016/j.envsci.2016.09.004

Cited by 23 publications

(11 citation statements)

References 30 publications

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“…Also more regional assessments have been conducted with a monthly time step, e.g. Fasel et al (2016) , Milano et al (2015) or Schyns and Hoekstra (2014) .…”

Section: Elements To Be Considered When Using or Developing A Particumentioning

confidence: 99%

Physical water scarcity metrics for monitoring progress towards SDG target 6.4: An evaluation of indicator 6.4.2 “Level of water stress”

Vanham

Hoekstra

Wada

et al. 2018

Science of The Total Environment

259

178

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Target 6.4 of the recently adopted Sustainable Development Goals (SDGs) deals with the reduction of water scarcity. To monitor progress towards this target, two indicators are used: Indicator 6.4.1 measuring water use efficiency and 6.4.2 measuring the level of water stress (WS). This paper aims to identify whether the currently proposed indicator 6.4.2 considers the different elements that need to be accounted for in a WS indicator. WS indicators compare water use with water availability. We identify seven essential elements: 1) both gross and net water abstraction (or withdrawal) provide important information to understand WS; 2) WS indicators need to incorporate environmental flow requirements (EFR); 3) temporal and 4) spatial disaggregation is required in a WS assessment; 5) both renewable surface water and groundwater resources, including their interaction, need to be accounted for as renewable water availability; 6) alternative available water resources need to be accounted for as well, like fossil groundwater and desalinated water; 7) WS indicators need to account for water storage in reservoirs, water recycling and managed aquifer recharge. Indicator 6.4.2 considers many of these elements, but there is need for improvement. It is recommended that WS is measured based on net abstraction as well, in addition to currently only measuring WS based on gross abstraction. It does incorporate EFR. Temporal and spatial disaggregation is indeed defined as a goal in more advanced monitoring levels, in which it is also called for a differentiation between surface and groundwater resources. However, regarding element 6 and 7 there are some shortcomings for which we provide recommendations. In addition, indicator 6.4.2 is only one indicator, which monitors blue WS, but does not give information on green or green-blue water scarcity or on water quality. Within the SDG indicator framework, some of these topics are covered with other indicators.

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“…Also more regional assessments have been conducted with a monthly time step, e.g. Fasel et al (2016) , Milano et al (2015) or Schyns and Hoekstra (2014) .…”

Section: Elements To Be Considered When Using or Developing A Particumentioning

confidence: 99%

Physical water scarcity metrics for monitoring progress towards SDG target 6.4: An evaluation of indicator 6.4.2 “Level of water stress”

Vanham

Hoekstra

Wada

et al. 2018

Science of The Total Environment

259

178

View full text Add to dashboard Cite

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“…Water scarcity indicators aim at mapping and informing decision-makers and the public about the use of this limited renewable resource. In this section, we balanced modelled surface water availability in the BSC 23 with needs and consumptive use of key water users, i.e., municipalities, power plants, manufacturing, irrigation 43 and livestock breeding 44 . We took into account evaporation from major reservoirs and environmental flow requirements (EFR) to preserve critical ecosystem structures and functions.…”

Section: Methodsmentioning

confidence: 99%

A web platform for landuse, climate, demography, hydrology and beach erosion in the Black Sea catchment

et al. 2017

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The Black Sea catchment (BSC) is facing important demographic, climatic and landuse changes that may increase pollution, vulnerability and scarcity of water resources, as well as beach erosion through sea level rise. Limited access to reliable time-series monitoring data from environmental, statistical, and socio-economical sources is a major barrier to policy development and decision-making. To address these issues, a web-based platform was developed to enable discovery and access to key environmental information for the region. This platform covers: landuse, climate, and demographic scenarios; hydrology and related water vulnerability and scarcity; as well as beach erosion. Each data set has been obtained with state-of-the-art modelling tools from available monitoring data using appropriate validation methods. These analyses were conducted using global and regional data sets. The data sets are intended for national to regional assessments, for instance for prioritizing environmental protection projects and investments. Together they form a unique set of information, which lay out future plausible change scenarios for the BSC, both for scientific and policy purposes.

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“…Indicators Processing: there are still large difficulties in harmonizing and in pulling together existing datasets to monitor or predict core indicators to answer policy needs at various spatial and temporal scales. 2011; Weitz, Nilsson, and Davis 2014;Fasel et al 2016) or SDGs (Brandi 2015) are needed to identify synergies and trade-offs. .…”

Section: Research Gaps and Project Objectivesmentioning

confidence: 99%

GEOEssential – mainstreaming workflows from data sources to environment policy indicators with essential variables

Lehmann

Nativi

Mazzetti

et al. 2019

International Journal of Digital Earth

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When defining indicators on the environment, the use of existing initiatives should be a priority rather than redefining indicators each time. From an Information, Communication and Technology perspective, data interoperability and standardization are critical to improve data access and exchange as promoted by the Group on Earth Observations. GEOEssential is following an end-user driven approach by defining Essential Variables (EVs), as an intermediate value between environmental policy indicators and their appropriate data sources. From international to local scales, environmental policies and indicators are increasingly percolating down from the global to the local agendas. The scientific business processes for the generation of EVs and related indicators can be formalized in workflows specifying the necessary logical steps. To this aim, GEOEssential is developing a Virtual Laboratory the main objective of which is to instantiate conceptual workflows, which are stored in a dedicated knowledge base, generating executable workflows. To interpret and present the relevant outputs/results carried out by the different thematic workflows considered in GEOEssential (i.e. biodiversity, ecosystems, extractives, night light, and food-water-energy nexus), a Dashboard is built as a visual front-end. This is a valuable instrument to track progresses towards environmental policies.

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Blue water scarcity in the Black Sea catchment: Identifying key actors in the water-ecosystem-energy-food nexus

Cited by 23 publications

References 30 publications

Physical water scarcity metrics for monitoring progress towards SDG target 6.4: An evaluation of indicator 6.4.2 “Level of water stress”

Physical water scarcity metrics for monitoring progress towards SDG target 6.4: An evaluation of indicator 6.4.2 “Level of water stress”

A web platform for landuse, climate, demography, hydrology and beach erosion in the Black Sea catchment

GEOEssential – mainstreaming workflows from data sources to environment policy indicators with essential variables

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