scholarly journals Burning Water, Overview of the Contribution of Arjen Hoekstra to the Water Energy Nexus

Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2844
Author(s):  
Winnie Gerbens-Leenes ◽  
Santiago Vaca-Jiménez ◽  
Mesfin Mekonnen
Keyword(s):  
Energy Source ◽  
Water Use ◽  
Information Needs ◽  
Fossil Fuels ◽  
Water Footprint ◽  
Open Water ◽  
Oil Crops ◽  
Energy Relationships ◽  
Large Water ◽  
New Research

This paper gives an overview of the contribution of water footprint (WF) studies on water for energy relationships. It first explains why water is needed for energy, gives an overview of important water energy studies until 2009, shows the contribution of Hoekstra’s work on WF of energy generation, and indicates how this contribution has supported new research. Finally, it provides knowledge gaps that are relevant for future studies. Energy source categories are: 1. biofuels from sugar, starch and oil crops; 2. cellulosic feedstocks; 3. biofuels from algae; 4. firewood; 5. hydropower and 6. various sources of energy including electricity, heat and transport fuels. Especially category 1, 3, 4, 5 and to a lesser extent 2 have relatively large WFs. This is because the energy source derives from agriculture or forestry, which has a large water use (1,2,4), or has large water use due to evaporation from open water surfaces (3,5). WFs for these categories can be calculated using the WF tool. Category 6 includes fossil fuels and renewables, such as photovoltaics and wind energy and has relatively small WFs. However, information needs to be derived from industry.

Successes and Problems with Measuring Water Consumption in Beef Systems

2019 ◽  
pp. 651-670
Author(s):  
Mieghan Bruce ◽  
Camille Bellet ◽  
Jonathan Rushton
Keyword(s):  
Water Use ◽  
Water Consumption ◽  
Food Systems ◽  
Water Footprint ◽  
Production Systems ◽  
Beef Production ◽  
Multiple Uses ◽  
Large Water ◽  
Efficient Water Use ◽  
Livestock Systems

Beef production is considered to have a large water footprint, with values ranging from 3.3 to 75,000 L H20/kg. The water consumption in beef production is primarily associated with feed, estimated to be about 98%, with other requirements representing less than 1%. However, beef production is a complex system where cattle are often raised in different areas using a range of resources over their lifetime. This complexity is demonstrated using three countries with very different environments and production systems, namely Australia, Brazil, and Kenya. To achieve efficient water use in beef systems, and food systems more generally, a classification system that reflects how animals are managed, slaughtered, and processed is required. Methods for assessing water use in livestock systems, from production to consumption, need to be standardized, whilst also including the alternative uses, multiple uses, and benefits of a certain resource in a specific location.

Assessment of Water Footprint in Selected Crops: A State Level Appraisal

2017 ◽  
Vol 1 (1) ◽  
pp. 11-25
Author(s):  
Mohammad Suhail
Keyword(s):  
Water Use ◽  
Water Footprint ◽  
Large Fraction ◽  
State Level ◽  
Soil Survey ◽  
National Bureau ◽  
Blue Water ◽  
Total Water Consumption ◽  
Balanced Approach ◽  
Green Component

Every commodity or goods has intake of water i.e. either in processing or furnished stage. Thus, the present study propensities macro-level (states-level) water footprint (WFP) assessment of selected eight crops namely, Wheat, Barley, Maize, Millets, Rice, Sorghum, Soybeans and Tea. The aim of present research is to assess water use in selected crops at field level. In addition, the spatial evaluation at state level also considered as one of the significant objective to understand regional disparity and/or similarly. Methodology and approach of assessment was adopted from Water Footprint Assessment Manual (2011). Data was collected from state Agricultural Directorate, National Bureau of Soil Survey and landuse, published reports and online database such as FAOSTAT, WMO, WFN, and agriculture census. Results show that green component of WFP contributes large fraction as about 72 percent, while blue and grey component amounted of about 19 and 9 percent of the total water consumption, respectively. Moreover, spatial variability of blue, green and grey among the states assimilated by soil regime and climate barriers. Supply of blue water is high where the region imparted to semi-arid or arid land. Consequently, a balanced approach between green and blue water use has been recommended in the present study to address increasing water demand in the future.

Utilization of pomegranate waste-peel as a novel substrate for biodiesel production by Bacillus cereus (MF908505)

2020 ◽  
Vol 4 (3) ◽  
pp. 1199-1207
Author(s):  
Amruta P. Kanakdande ◽  
Chandrahasya N. Khobragade ◽  
Rajaram S. Mane
Keyword(s):  
Energy Source ◽  
Renewable Energy Source ◽  
Renewable Energy ◽  
Bacillus Cereus ◽  
Fossil Fuels ◽  
Biodiesel Production ◽  
Energy Needs

The continuous rising demands and fluctuations in the prices of fossil fuels warrant searching for an alternative renewable energy source to manage the energy needs.

scholarly journals Assessing local impacts of water use on human health: evaluation of water footprint models in the Province Punjab, Pakistan

2021 ◽  
Author(s):  
Natalia Mikosch ◽  
Markus Berger ◽  
Elena Huber ◽  
Matthias Finkbeiner
Keyword(s):  
Human Health ◽  
Water Use ◽  
Water Deprivation ◽  
Water Footprint ◽  
Local Scale ◽  
Water Supply Systems ◽  
Domestic Water ◽  
Income Loss ◽  
Human Health Damage ◽  
Health Damage

Abstract Purpose The water footprint (WF) method is widely applied to quantify water use along the life cycle of products and organizations and to evaluate the resulting impacts on human health. This study analyzes the cause-effect chains for the human health damage related to the water use on a local scale in the Province Punjab of Pakistan, evaluates their consistency with existing WF models, and provides recommendations for future model development. Method Locally occurring cause-effect chains are analyzed based on site observations in Punjab and a literature review. Then, existing WF models are compared to the findings in the study area including their comprehensiveness (covered cause-effect chains), relevance (contribution of the modeled cause-effect chain to the total health damage), and representativeness (correspondence with the local cause-effect chain). Finally, recommendations for the development of new characterization models describing the local cause-effect chains are provided. Results and discussion The cause-effect chains for the agricultural water deprivation include malnutrition due to reduced food availability and income loss as well as diseases resulting from the use of wastewater for irrigation, out of which only the first one is addressed by existing WF models. The cause-effect chain for the infectious diseases due to domestic water deprivation is associated primarily with the absence of water supply systems, while the linkage to the water consumption of a product system was not identified. The cause-effect chains related to the water pollution include the exposure via agricultural products, fish, and drinking water, all of which are reflected in existing impact assessment models. Including the groundwater compartment may increase the relevance of the model for the study area. Conclusions Most cause-effect chains identified on the local scale are consistent with existing WF models. Modeling currently missing cause-effect chains for the impacts related to the income loss and wastewater usage for irrigation can enhance the assessment of the human health damage in water footprinting.

The Decomposition Analysis of Tourism Water Footprint in Taiwan: Revealing Decision-Relevant Information

2018 ◽  
Vol 58 (4) ◽  
pp. 695-708 ◽  
Author(s):  
Ya-Yen Sun ◽  
Ching-Mai Hsu
Keyword(s):  
Water Use ◽  
Water Consumption ◽  
Water Footprint ◽  
Decomposition Analysis ◽  
Economic Structure ◽  
Relevant Information ◽  
Structural Decomposition Analysis ◽  
Total Consumption ◽  
Economic Output ◽  
Input Structure

Tourism water consumption reflects the dynamics between the visitation volume, economic structure, and water use technology of a destination. This paper presents a structural decomposition analysis that attributes changes of Taiwan’s tourism water footprint into the demand factors of total consumption and purchasing patterns, and production factors of the industry input structure and water use technology. From 2006 to 2011, Taiwan experienced a 48% growth in visitor expenditures and a 74% surge in its water footprint. Diseconomies of scale were observed, with a 1% increase in consumption leading to a 1.5% increase in the tourism water footprint. A strong preference by visitors for water-intensive goods and services and a changing economic structure requiring more water input for tourism establishments and supply chain members contributed to this worrisome pattern. The water requirements received only a minimal offset effect with technological improvements. Decoupling tourism water consumption from economic output is currently unattainable.

ECLand: an ECMWF land surface modelling platform

2021 ◽  
Author(s):  
Gianpaolo Balsamo ◽  
Souhail Boussetta
Keyword(s):  
Land Surface ◽  
Urban Areas ◽  
Land Surface Model ◽  
Open Water ◽  
Surface Fluxes ◽  
Surface Model ◽  
New Developments ◽  
Surface Modelling ◽  
Land Surface Modelling ◽  
New Research

<p>The ECMWF operational land surface model, based on the Carbon-Hydrology Tiled ECMWF Scheme for Surface Exchanges over Land (CHTESSEL) is the baseline for global weather, climate and environmental applications at ECMWF. In order to expedite its progress and benefit from international collaboration, an ECLand platform has been designed to host advanced and modular schemes. ECLand is paving the way toward a land model that could support a wider range of modelling applications, facilitating global kilometer scales testing as envisaged in the Copernicus and Destination Earth programmes. This presentation introduces the CHTESSEL and its recent new developments that aims at hosting new research applications.</p><p>These new improvements touch upon different components of the model: (i) vegetation, (ii) snow, (iii) soil hydrology, (iv) open water/lakes (v) rivers and (vi) urban areas. The developments are evaluated separately with either offline simulations or coupled experiments, depending on their level of operational readiness, illustrating the benchmarking criteria for assessing process fidelity with regards to land surface fluxes and reservoirs involved in water-energy-carbon exchange, and within the Earth system prediction framework, as foreseen to enter upcoming ECMWF operational cycles.</p><p>Reference: Souhail Boussetta, Gianpaolo Balsamo*, Anna Agustì-Panareda, Gabriele Arduini, Anton Beljaars, Emanuel Dutra, Glenn Carver, Margarita Choulga, Ioan Hadade, Cinzia Mazzetti, Joaquìn Munõz-Sabater, Joe McNorton, Christel Prudhomme, Patricia De Rosnay, Irina Sandu, Nils Wedi, Dai Yamazaki, Ervin Zsoter, 2021: ECLand: an ECMWF land surface modelling platform, MDPI Atmosphere, (in prep).</p>

scholarly journals A spatially detailed blue water footprint of the United States economy

2018 ◽  
Vol 22 (5) ◽  
pp. 3007-3032 ◽  
Author(s):  
Richard R. Rushforth ◽  
Benjamin L. Ruddell
Keyword(s):  
United States ◽  
Water Use ◽  
Water Footprint ◽  
Virtual Water ◽  
The United States ◽  
Energy Information Administration ◽  
Blue Water ◽  
Consumptive Use ◽  
The Us ◽  
Per Capita

Abstract. This paper quantifies and maps a spatially detailed and economically complete blue water footprint for the United States, utilizing the National Water Economy Database version 1.1 (NWED). NWED utilizes multiple mesoscale (county-level) federal data resources from the United States Geological Survey (USGS), the United States Department of Agriculture (USDA), the US Energy Information Administration (EIA), the US Department of Transportation (USDOT), the US Department of Energy (USDOE), and the US Bureau of Labor Statistics (BLS) to quantify water use, economic trade, and commodity flows to construct this water footprint. Results corroborate previous studies in both the magnitude of the US water footprint (F) and in the observed pattern of virtual water flows. Four virtual water accounting scenarios were developed with minimum (Min), median (Med), and maximum (Max) consumptive use scenarios and a withdrawal-based scenario. The median water footprint (FCUMed) of the US is 181 966 Mm3 (FWithdrawal: 400 844 Mm3; FCUMax: 222 144 Mm3; FCUMin: 61 117 Mm3) and the median per capita water footprint (FCUMed′) of the US is 589 m3 per capita (FWithdrawal′: 1298 m3 per capita; FCUMax′: 720 m3 per capita; FCUMin′: 198 m3 per capita). The US hydroeconomic network is centered on cities. Approximately 58 % of US water consumption is for direct and indirect use by cities. Further, the water footprint of agriculture and livestock is 93 % of the total US blue water footprint, and is dominated by irrigated agriculture in the western US. The water footprint of the industrial, domestic, and power economic sectors is centered on population centers, while the water footprint of the mining sector is highly dependent on the location of mineral resources. Owing to uncertainty in consumptive use coefficients alone, the mesoscale blue water footprint uncertainty ranges from 63 to over 99 % depending on location. Harmonized region-specific, economic-sector-specific consumption coefficients are necessary to reduce water footprint uncertainties and to better understand the human economy's water use impact on the hydrosphere.

scholarly journals GlobWat – a global water balance model to assess water use in irrigated agriculture

2015 ◽  
Vol 19 (9) ◽  
pp. 3829-3844 ◽  
Author(s):  
J. Hoogeveen ◽  
J.-M. Faurès ◽  
L. Peiser ◽  
J. Burke ◽  
N. van de Giesen
Keyword(s):  
Water Balance ◽  
Water Use ◽  
Open Water ◽  
Water Balance Model ◽  
Green Water ◽  
Balance Model ◽  
Irrigated Agriculture ◽  
High Resolution Data ◽  
Food And Agriculture ◽  
Global Water

Abstract. GlobWat is a freely distributed, global soil water balance model that is used by the Food and Agriculture Organization (FAO) to assess water use in irrigated agriculture, the main factor behind scarcity of freshwater in an increasing number of regions. The model is based on spatially distributed high-resolution data sets that are consistent at global level and calibrated against values for internal renewable water resources, as published in AQUASTAT, the FAO's global information system on water and agriculture. Validation of the model is done against mean annual river basin outflows. The water balance is calculated in two steps: first a "vertical" water balance is calculated that includes evaporation from in situ rainfall ("green" water) and incremental evaporation from irrigated crops. In a second stage, a "horizontal" water balance is calculated to determine discharges from river (sub-)basins, taking into account incremental evaporation from irrigation, open water and wetlands ("blue" water). The paper describes the methodology, input and output data, calibration and validation of the model. The model results are finally compared with other global water balance models to assess levels of accuracy and validity.

scholarly journals Eucalyptus sp. WOODCHIP POTENTIAL FOR INDUSTRIAL THERMAL ENERGY PRODUCTION1

2017 ◽  
Vol 41 (6) ◽  
Author(s):  
Marcos Antonio da Silva Miranda ◽  
Gabriel Browne de Deus Ribeiro ◽  
Sebastião Renato Valverde ◽  
Crismeire Isbaex
Keyword(s):  
Energy Source ◽  
Thermal Energy ◽  
Fossil Fuels ◽  
Forest Biomass ◽  
Dairy Industry ◽  
Industrial Sector ◽  
Cost Ratio ◽  
Planted Forests ◽  
Industrial Use ◽  
The Cost

ABSTRACT The main objective of this work was to identify and analyze the potential of forest biomass of Eucalyptus sp. such as thermal energy source for industrial use in place of fossil fuels. Two cases were analyzed: the first one estimated the total demand for forest biomass to replace the main fossil fuels in Brazilian industrial sector, with scenarios of 100, 75 and 50% replacement; in the second, it was calculated the cost of each fuel for producing ton of industrial steam (thermal energy) for a dairy industry, in order to verify the competitiveness of forest biomass compared to fossil fuels. The results showed that the areas demanded to replace 100, 75 and 50% of the analyzed fossil fuels were, respectively, 2.9, 2.2 and 1.5 million planted forests hectares, and the steam ton cost ratio using the woodchips was at least 34% lower than with other fuels, which corroborates the substitution potential in this sector.

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