Enhancing the Water Accounting and Vulnerability Evaluation Model: WAVE+

Berger, Markus; Eisner, Stephanie; Ent, Ruud J. van der; Flörke, Martina; Link, Andreas; Poligkeit, Joseph; Bach, Vanessa; Finkbeiner, Matthias

doi:10.1021/acs.est.7b05164

Cited by 43 publications

(64 citation statements)

References 32 publications

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“…With regards to the third stated application, sustainability studies and Water Footprinting, the provided dataset shows as well promising usage possibilities. Knowledge on the fate of evaporation was firstly integrated within the method of Water Footprinting by Berger et al (2014Berger et al ( , 2018 via an enhanced water accounting method. This considered atmospheric moisture recycling ratios within drainage basins which could reduce water consumption patterns significantly (Berger et al, 2014(Berger et al, , 2018.…”

Section: 1) Possible Uses Of the Datasetmentioning

confidence: 99%

“…Understanding land cover changes and its impacts on the supply of moisture to downwind beneficiaries (Bagley et al, 2012;Keys et al, 2012Spracklen et al, 2012;Staal et al, 2018;Tuinenburg et al, 2012;Wang-Erlandsson et al, 2018;Wei et al, 2013Wei et al, , 2016 3. Applications within the context of sustainability and Water Footprinting (Berger et al, 2014(Berger et al, , 2018 4. Understanding the seasonality of precipitation (Guo et al, 2019;Miralles et al, 2016;Zhang et al, 2017) as well as its inter-annual variability (Guo et al, 2019;Sodemann et al, 2008) 5.…”

Section: ) Introductionmentioning

confidence: 99%

“…One method which could be named in this context is the Water Footprinting which quantifies the water consumption as well as the resulting potential environmental impacts along a product's life cycle (International Organization for Standardization, 2016). First considerations to include moisture tracking in Water Footprinting have been accomplished by Berger et al (2014Berger et al ( , 2018. The last application focus exemplified here refers to a deeper understanding on seasonality aspects as well as the inter-annual variability of precipitation.…”

Section: ) Introductionmentioning

confidence: 99%

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The fate of land evaporation – A global dataset

Link¹,

Ent²,

Berger³

et al. 2020

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Abstract. Various studies investigated the fate of evaporation and the origin of precipitation. The more recent studies among them were often carried out with the help of numerical moisture tracking. Many research questions could be answered within this context such as dependencies of atmospheric moisture transfers between different regions, impacts of land cover changes on the hydrological cycle, sustainability related questions as well as questions regarding the seasonal and inter-annual variability of precipitation. In order to facilitate future applications, global datasets on the fate of evaporation and the sources of precipitation are needed. Since most studies are on a regional level and focus more on the sources of precipitation, the goal of this study is to provide a readily available global dataset on the fate of evaporation for a fine-meshed grid of source and receptor cells. The dataset was created through a global run of the numerical moisture tracking model WAM-2layers and focused on the fate of land evaporation. The tracking was conducted on a 1.5° × 1.5° grid and was based on reanalysis data from the ERA-Interim database. Climatic input data were incorporated in 3- respectively 6-hourly time steps and represent the time period from 2001 to 2018. Atmospheric moisture was tracked forward in time and the geographical borders of the model were located at +/- 79.5° latitude. As a result of the model run, the annual and monthly average as well as the inter-annual average fate of evaporation was determined for 8684 land grid cells (all land cells except those located within Greenland and Antarctica) and provided via source-receptor matrices. The gained dataset was complemented via an aggregation to country and basin scales in order to highlight possible usages for areas of interest larger than grid cells. This resulted in data for 265 countries and 8223 basins. Finally, five types of source-receptor matrices for average moisture transfers were chosen to build the core of the dataset: land grid cell to grid cell, country to grid cell, basin to grid cell, country to country, basin to basin. The dataset is, to our knowledge, the first ready-to-download dataset providing the overall fate of evaporation for land cells of a global fine-meshed grid in monthly resolution. At the same time, information on the sources of precipitation can be extracted from it. It could be used for investigations into average annual, seasonal and inter-annual sink and source regions of atmospheric moisture from land masses for most of the regions in the world and shows various application possibilities for studying interactions between people and water such as land cover changes or human water consumption patterns. The dataset is accessible under https://doi.pangaea.de/10.1594/PANGAEA.908705 (Link et al., 2019a) and comes along with example scripts for reading and plotting.

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Section: 1) Possible Uses Of the Datasetmentioning

confidence: 99%

Section: ) Introductionmentioning

confidence: 99%

Section: ) Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The fate of land evaporation – A global dataset

Link¹,

Ent²,

Berger³

et al. 2020

Preprint

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“…The integrated WAVE+ factor data were collected from the website [39], which was developed by Berger et al [33]. This data was an enhanced version generated using an updated WAVE model with finer spatial and temporal resolution.…”

Section: Data Sourcesmentioning

confidence: 99%

“…This study aims to answer these questions by examining the magnitudes and structures of inter-regional VW trade and provincial WF based on an MRIO analysis for the years, 2007 and 2010. Moreover, the assessed VW was combined with an integrated factor of WAVE+ (water accounting and vulnerability evaluation) [33], thereby providing a basis for better management of water resources.…”

Section: Introductionmentioning

confidence: 99%

Water Footprint and Virtual Water Accounting for China Using a Multi-Regional Input-Output Model

Zhang

Chen

Huang

2018

Water

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Water footprint (WF) is a measure of the actual appropriation of water resources. WF accounting can provide a scientific basis for the managements of water resources. In this study, a multi-regional input-output model is employed to measure the quantity of blue WF (WF) and inter-provincial virtual water (VW) flows in China for the years of 2007 and 2010. The results show that: (1) China’s total WF increased from 205.42 billion m3 in 2007 to 229.34 billion m3 in 2010. Approximately 42% of the WF was attributed to VW embodied in inter-provincial trade. Xinjiang is the largest province of VW export, whereas Shanghai had the largest net VW inflows. (2) From 2007 to 2010, the share of the agricultural sector in the entire VW trade declined, but was still as high as 82.78%, followed by the industrial sector. (3) The north-to-south and south-to-south patterns were witnessed in the domestic VW flows. The provincial WF variations are found to be affected by the per capital GDP, total water resources, per capita water resources, and urban population. (4) By linking VW with an integrated WAVE+ (water accounting and vulnerability evaluation) factor, it was found that virtual scarce water (VSW) was mainly exported by the provinces in northern China. At the national level, the amounts of VSW inflows were consistently greater than those of VSW outflows for both years, 2007 and 2010, implying an increased pressure on the provinces with water deprivation issues. Overall, these results can provide a basis for refining the spatiotemporal allocation of water resources and mitigating the conflict between water supply and demand in China.

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Environmental footprints of soybean production in China

Zhang

Hong

Zhang

et al. 2022

Environ Dev Sustain

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As a significant protein source for humans and animals, soybean ( Glycine max ) has experienced a fast growth with the rapid development of population and economy. Despite broad interest in energy consumption and CO 2 emissions generated by soybean production, there are few impact-oriented water footprint assessments of soybean production. This study evaluates the fossil energy, carbon, and water footprints of China’s soybean production so that key environmental impacts can be identified. To provide reliable results for decision-making, uncertainty analysis is conducted based on the Monte Carlo model. Results show that the impact on climate change, ecosystem quality, human health, and resources is 3.33 × 10 3 kg CO 2 eq (GSD 2 = 1.87), 6.18 × 10 −5 Species·yr (GSD 2 = 1.81), 3.26 × 10 −3 Disability-adjusted Life Years (GSD 2 = 1.81), and 81.51 $ (GSD 2 = 2.28), respectively. Freshwater ecotoxicity is the dominant contributor (77.69%) to the ecosystem quality category, while climate change (85.22%) is the dominant contributor to the human health category. Key factors analysis results show that diammonium phosphate and diesel, and on-site emissions, are the major contributors to the overall environmental burden of soybean production. Several policy recommendations are proposed, focusing on trade structure optimization, efficient resource use, and technological improvements. Such policy recommendations provide valuable insights to those decision-makers so that they can prepare appropriate mitigation policies.

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Enhancing the Water Accounting and Vulnerability Evaluation Model: WAVE+

Cited by 43 publications

References 32 publications

The fate of land evaporation – A global dataset

The fate of land evaporation – A global dataset

Water Footprint and Virtual Water Accounting for China Using a Multi-Regional Input-Output Model

Environmental footprints of soybean production in China

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