Mean annual blue water footprint of national consumption per capita (1996-2005)

2018 ◽  
Author(s):  
Najet Guefradj
Keyword(s):  
Water Use ◽  
Industrial Production ◽  
Agricultural Production ◽  
Water Footprint ◽  
Blue Water ◽  
Domestic Water ◽  
The Mean ◽  
Per Capita ◽  
Table Data ◽  
National Consumption

This layer represents estimation of the mean annual blue water footprint of national consumption for the period 1996-2005. The water footprint is a measure of human’s appropriation of freshwater resources. The blue water footprint refers to consumption of blue water resources (surface and ground water). Estimations are given in cubic meter per capita per year. In the table, data are also available disaggregated per sectors: agricultural production, industrial production and domestic water use. A detailed description of the methodology and results can be found in the main report available here: http://temp.waterfootprint.org/Reports/Report50-NationalWaterFootprints-Vol1.pdf . For more information, visit the Water Footprint Network website: http://temp.waterfootprint.org/?page=files/WaterStat Agriculture Supply Use/Reuse

Mean water footprint of national consumption per capita (1996-2005)

2017 ◽  
Author(s):  
Chloé Meyer
Keyword(s):  
Water Use ◽  
Industrial Production ◽  
Agricultural Production ◽  
Water Footprint ◽  
Domestic Water ◽  
The Mean ◽  
Per Capita ◽  
Annual Water ◽  
Table Data ◽  
National Consumption

This layer presents estimations of the mean annual water footprint of national consumption per capita for the period 1996-2005. The water footprint is a measure of human’s appropriation of freshwater resources; it has three components: green, blue and grey. Estimations are given in cubic meter per capita per year. In the table, data are also available disaggregated per sectors: agricultural production, industrial production and domestic water use. A detailed description of the methodology and results can be found in the main report available here: http://temp.waterfootprint.org/Reports/Report50-NationalWaterFootprints-Vol1.pdf . For more information, visit the Water Footprint Network website: http://temp.waterfootprint.org/?page=files/WaterStat Cost Use/Reuse

Mean annual green water footprint of national consumption per capita (1996-2005)

2018 ◽  
Author(s):  
Najet Guefradj
Keyword(s):  
Industrial Production ◽  
Agricultural Production ◽  
Crop Production ◽  
Water Footprint ◽  
Green Water ◽  
Domestic Water ◽  
The Mean ◽  
Per Capita ◽  
Table Data ◽  
National Consumption

This layer represents estimation of the mean annual green water footprint of national consumption for the period 1996-2005. The water footprint is a measure of human’s appropriation of freshwater resources. The green water footprint is the volume of green water (rainwater) consumed, which is particularly relevant in crop production. Estimation are given in cubic meter per capita per year. In the table, data are also available disaggregated per sectors: agricultural production, industrial production and domestic water use. Methodology and results can be found in the main report: http://temp.waterfootprint.org/Reports/Report50-NationalWaterFootprints-Vol1.pdf . For more information, visit the Water Footprint Network website: http://temp.waterfootprint.org/?page=files/WaterStat Agriculture Supply Use/Reuse

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 The Water Footprint of Kathmandu Metropolitan City

2015 ◽  
Vol 28 ◽  
pp. 73-80
Author(s):  
Mohan Bikram Shrestha ◽  
Udhab Raj Khadka
Keyword(s):  
Water Use ◽  
Water Footprint ◽  
Industrial Water ◽  
Total Water ◽  
Domestic Water ◽  
Rapid Urbanization ◽  
Water Project ◽  
Metropolitan City ◽  
Industrial Water Use ◽  
Per Capita

The water footprint is consumption-based indicator of water use. Water footprint is defined as the total volume of both indirect and the direct freshwater used for producing goods and services consumed by individuals or inhabitants of community. There are many studies regarding the direct water use but studies incorporating both direct and indirect water use is deficient. This study tries to estimate total volume of water based on the consumption pattern of different commodities by individuals of Kathmandu Metropolitan city using extended water footprint calculator. The average water footprint of individuals appears to be 1145.52 m3/yr. The indirect and direct water footprint appears to be 1070.82 Mm3/yr and 46.59 Mm3/yr respectively which cumulatively give the total water footprint of Kathmandu Metropolitan City of 1117.40 Mm3/yr. This volume is equal to 2.27 times the annual flow the River Bagmati. The indirect water footprint includes food water footprint of 1055.60 Mm3/yr or 2.14 times the annual flow and industrial water use of 15.22 Mm3/yr or 0.03 times the annual flow while the direct water footprint includes domestic water use of 46.59 Mm3/yr or 0.09 times the annual flow. In food water footprint, cereals consumption shared the highest contribution of 34.82% followed by meat consumption with share of 32.62% in total water footprint. Per capita per day water use of inhabitants appears to be 3138 liters which includes water use in food items of 2965 liters, industrial water use of 43 liters and domestic water use of 131 liters. The per capita per day domestic water use is 90 liters more than supplement of 41 liters by the water operator of Kathmandu Valley. Per capita per day domestic water use is already 5 liters more than expected improvement in water supplement of 126 liters per capita per day in 2025 after accomplishment of Melamchi water project. And, it is expected to increase further observing the rapid urbanization of Kathmandu Metropolitan City. The study showed water footprint of individuals is directly related to food consumption behavior, life style and services used therefore it is necessary to initiate water offsetting measures at individual level and water operator to find environmentally sustainable alternatives along with ongoing water project to fulfill demand. J. Nat. Hist. Mus. Vol. 28, 2014: 73-80

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.

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.

scholarly journals Analysis and Comprehensive Evaluation of Water Use Efficiency in China

Water ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2620 ◽  
Author(s):  
Wenge Zhang ◽  
Xianzeng Du ◽  
Anqi Huang ◽  
Huijuan Yin
Keyword(s):  
Water Quality ◽  
Water Use Efficiency ◽  
Water Use ◽  
Water Consumption ◽  
Value Added ◽  
Domestic Water ◽  
Projection Direction ◽  
Domestic Water Consumption ◽  
Use Efficiency ◽  
Per Capita

Proper water use requires its monitoring and evaluation. An indexes system of overall water use efficiency is constructed here that covers water consumption per 10,000 yuan GDP, the coefficient of effective utilization of irrigation water, the water consumption per 10,000 yuan of industrial value added, domestic water consumption per capita of residents, and the proportion of water function zone in key rivers and lakes complying with water-quality standards and is applied to 31 provinces in China. Efficiency is first evaluated by a projection pursuit cluster model. Multidimensional efficiency data are transformed into a low-dimensional subspace, and the accelerating genetic algorithm then optimizes the projection direction, which determines the overall efficiency index. The index reveals great variety in regional water use, with Tianjin, Beijing, Hebei, and Shandong showing highest efficiency. Shanxi, Liaoning, Shanghai, Zhejiang, Henan, Shanxi, and Gansu also use water with high efficiency. Medium efficiency occurs in Inner Mongolia, Jilin, Heilongjiang, Jiangsu, Hainan, Qinghai, Ningxia, and Low efficiency is found for Anhui, Fujian, Jiangxi, Hubei, Hunan, Guangdong, Guangxi, Chongqing, Sichuan, Guizhou, Yunnan, and Xinjiang. Tibet is the least efficient. The optimal projection direction is a* = (0.3533, 0.7014, 0.4538, 0.3315, 0.1217), and the degree of influence of agricultural irrigation efficiency, water consumption per industrial profit, water used per gross domestic product (GDP), domestic water consumption per capita of residents, and environmental water quality on the result has decreased in turn. This may aid decision making to improve overall water use efficiency across China.

scholarly journals The Water Footprint of Global Food Production

Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2696
Author(s):  
Mesfin M. Mekonnen ◽  
Winnie Gerbens-Leenes
Keyword(s):  
Agricultural Production ◽  
Food Production ◽  
Crop Production ◽  
Water Footprint ◽  
Water Productivity ◽  
Blue Water ◽  
Dietary Shifts ◽  
Global Food ◽  
Main Consumer ◽  
Future Population

Agricultural production is the main consumer of water. Future population growth, income growth, and dietary shifts are expected to increase demand for water. The paper presents a brief review of the water footprint of crop production and the sustainability of the blue water footprint. The estimated global consumptive (green plus blue) water footprint ranges from 5938 to 8508 km3/year. The water footprint is projected to increase by as much as 22% due to climate change and land use change by 2090. Approximately 57% of the global blue water footprint is shown to violate the environmental flow requirements. This calls for action to improve the sustainability of water and protect ecosystems that depend on it. Some of the measures include increasing water productivity, setting benchmarks, setting caps on the water footprint per river basin, shifting the diets to food items with low water requirements, and reducing food waste.

scholarly journals Water footprint in family farming

2021 ◽  
Vol 10 (6) ◽  
pp. e26610615777
Author(s):  
Ana Luiza Grateki Barbosa ◽  
Daniel Brasil Ferreira Pinto ◽  
Rafael Alvarenga Almeida
Keyword(s):  
Water Resources ◽  
Fresh Water ◽  
Agricultural Production ◽  
Water Footprint ◽  
Green Water ◽  
Blue Water ◽  
Total Water ◽  
Family Farming ◽  
Gray Water ◽  
The Family

Currently, the management of water resources has gained greater visibility and has become indispensable, with the need for different methodologies which consider all water used and incorporated in the processes and products. In this way, the water footprint concept has been introduced to calculate the appropriation of fresh water on the part of the humankind. Thus, the objective of this work was to determine the water footprint in some sectors of family farming in the municipality of Teófilo Otoni – MG, analyzing the agricultural production of crops cultivated exclusively by the sector in 2017 in Teófilo Otoni. The cultivation of pumpkin, banana, chayote, beans, cassava, Maize, peppers, okra, cabbage, and tangerine were studied. Thus, the total water footprint for the year 2017 was 13,996,735.05 m3.t-1, in which the green water footprint represents 86%, the blue water footprint represents 12.5% and the gray water footprint equals 1.5%. The family farming sector of Teófilo Otoni demands an average of 196.73 liters for a production of R$ 1.00.

scholarly journals Impact of a College Course on the Sustainability of Student Diets in Terms of the Planetary Boundaries for Climate Change and Land, Water, Nitrogen and Phosphorus Use

2021 ◽  
Vol 5 ◽  
Author(s):  
Victoria A. Whitener ◽  
Brian Cook ◽  
Ingrid Spielbauer ◽  
Paula Karyn Nguyen ◽  
Jennifer A. Jay
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Greenhouse Gases ◽  
Water Use ◽  
Blue Water ◽  
Planetary Boundaries ◽  
Control Groups ◽  
College Course ◽  
Per Capita

While it is widely acknowledged that shifts in diet could play a large role in mitigating climate change with important health co-benefits, knowledge on how to accomplish these shifts is lacking. Our previous study showed a statistically significant reduction in the dietary carbon footprint of students who had completed a college course on the connections between food and the environment compared to a control group enrolled in an unrelated course. An extension of the previous study, this research evaluates the sustainability of female and male diets in both the intervention and control groups from baseline to follow up with respect to the following planetary boundaries: greenhouse gases, land use, water use, nitrogen loss, and phosphorus use. In addition, a 50-point modified Alternative Healthy Eating Index was calculated at baseline and follow up for all students. Female students enrolled in the intervention course reported diets with statistically significant reductions in their footprints from baseline to follow up for greenhouse gases (p = 0.011), land use (p = 0.012), and phosphorus (p = 0.045), and the female diets were statistically different from the control groups for those three boundaries. For water use, female diets increased in footprint from baseline to follow up due to an increase in vegetable intake. Males enrolled in the intervention showed similar trends (reductions in footprints for greenhouse gases, land use, and phosphorus use and an increase in blue water use), but differences were not statistically significant, partially due to the smaller number of male respondents. Student dietary footprints are compared to a per capita limit allowable for food according to the planetary boundaries concept. For all of the planetary boundaries except blue water use, the student dietary footprints were well above the per capita boundary for food-related sources.

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