scholarly journals Water Footprint Analysis In Krueng Aceh Watershed, Aceh Province, Indonesia

2017 ◽  
Vol 6 (3) ◽  
pp. 86-96
Author(s):  
Purwana Satriyo ◽  
Hidayat Pawitan ◽  
Yanuar J Purwanto ◽  
Yayat Hidayat

Water is one the most important natural resources to maintain human life and all other living things in the earth. Around 65% water were consumed for drinking purpose, while others were used for daily needs. The increasing amount of work on water use and scarcity in relation to consumption and trade has led to the emergence of the field of Water Footprint (WF). Climate change, rural development, world population growth and industrialization have placed considerable stress on the local availability of water resources. Thus, it is necessary to perform study in order to analyze water demands and supply for sustainable water availability. Recently, water footprint analysis has been widely draw attention to the scientists and engineers. The water footprint analysis is closely related with virtual water from which it is defined as total water volume used for consumption and trade. The main aim of this present study is to analyze and assess the total water requirement based on community water footprint in Krueng Aceh watershed area. The virtual water used in this study are dominant consumption food commodities. The result shows that water footprint per capita in Krueng Aceh watershed area was 674.52 m3/year. Water footprint for rural and urban population were 608.27 m3/year and 740.77 m3/year respectively. The WF of food consumption in urban area of Krueng Aceh watershed is 690.74 m3 / capita / year and 584.22 m3/capita/year or average 625.69 m3/capita/year, while for non-food, the WF per capita is 24.05 m3/year in rural or 32.46% of the total water footprint. Non-food consumption per capita in Krueng Aceh and in urban areas is 50.03 m3/year or 67.53%. The total water demand based on the water footprint is 378,906,655.05 m3 in 2015 which is consumed by most of residents in the Krueng Aceh watershed area. Furthermore, total WF in rural and urban area are 193,489,128.95 m3 and 185,417,526.10 m3 respectively.

2021 ◽  
Vol 13 (1) ◽  
pp. 409
Author(s):  
Ruogu Huang ◽  
Xiangyang Li ◽  
Yang Liu ◽  
Yaohao Tang ◽  
Jianyi Lin

Water scarcity has put pressure on city development in China. With a particular focus on urban and rural effects, logarithmic mean Divisia index decomposition (LMDI) was used to analyze the water footprint per capita (WFP) of food consumption in five East China cities (Beijing, Tianjin, Shanghai, Qingdao, and Xiamen) from 2008 to 2018. Results show that the WFP of food consumption exhibited an upward tendency among all cities during the research period. Food consumption structure contributed the most to the WFP growth, mainly due to urban and rural residents’ diet shift toward a livestock-rich style. Except in Beijing, the food consumption level mainly inhibited the WFP growth due to the decrease in food consumption level per capita in urban areas. Urbanization had less influence on WFP growth for two megacities (Beijing and Shanghai) due to the strictly controlled urban population inflow policy and more positive effects for other cities. The water footprint intensity effect among cities was mainly due to uneven water-saving efficiency. Meanwhile, Beijing and Tianjin have achieved advancement in water utilization efficiency.


2016 ◽  
Vol 17 (2) ◽  
pp. 472-479 ◽  
Author(s):  
Jiefeng Kang ◽  
Jianyi Lin ◽  
Shenghui Cui ◽  
Xiangyang Li

Providing a comprehensive insight, water footprint (WF) is widely used to analyze and address water-use issues. In this study, a hybrid of bottom-up and top-down methods is applied to calculate, from production and consumption perspectives, the WF for Xiamen city from 2001 to 2012. Results show that the average production WF of Xiamen was 881.75 Mm3/year and remained relatively stable during the study period, while the consumption WF of Xiamen increased from 979.56 Mm3/year to 1,664.97 Mm3/year over the study period. Xiamen thus became a net importer of virtual water since 2001. Livestock was the largest contributor to the total WF from both production and consumption perspectives; it was followed by crops, industry, household use, and commerce. The efficiency of the production WF has increased in Xiamen, and its per capita consumption WF was relatively low. The city faces continuing growth in its consumption WF, so more attention should be paid to improving local irrigation, reducing food waste, and importing water-intensive agricultural products.


2018 ◽  
Vol 22 (5) ◽  
pp. 3007-3032 ◽  
Author(s):  
Richard R. Rushforth ◽  
Benjamin L. Ruddell

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.


2015 ◽  
Vol 28 ◽  
pp. 73-80
Author(s):  
Mohan Bikram Shrestha ◽  
Udhab Raj Khadka

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


2010 ◽  
Vol 10 (4) ◽  
pp. 584-590 ◽  
Author(s):  
Francisco Cubillo

Many urban water systems must cope with water scarcity and climate change and additionally they must be able to fulfil the objectives of environmental protection, efficiency and sustainability. At the end they must provide the expected level of service now and in the future horizons. Some new comprehensive approaches are assessing the total water footprint in a territory using the concept of virtual water and incorporating interactions between agriculture, urban and industrial uses. Besides this broader method of analysis it is important to go further and make analysis of opportunities for efficiency based on a new paradigm of integrated use of water. Investing in improvement of efficiency not only in urban distribution systems, studying the possibilities of permanent or temporal reallocation of water rights from agriculture to urban. Establishing agreements for interchange of raw water for urban regenerated water. Signing options contracts for water trading under drought conditions. Risk of shortage is the factor to complete the framework and it is a key component to review and to manage


1970 ◽  
Vol 6 (2) ◽  
pp. 307-313 ◽  
Author(s):  
MA Hai ◽  
M Mahiuddin ◽  
MAR Howlider ◽  
T Yeasmin

The pattern and problem of poultry consumption by the rural and urban families of Fulbaria upazilla were studied. Data were collected through interview schedule from 100 respondents (50 from rural area and 50 from urban area). Problem confrontation index (PCI) in urban area 27 to 143 against the possible range of 0 to 150 and in rural area 33 to 138 against the possible 0 to 150. Overall area PCI was 60 to 281 against the possible range of 0 to 300. Nonavailability of day old chicks, lack of optimum amount of feed, unbalanced diets and fluctuating prices of eggs and meat were the acute problems hampered the consumption of poultry. The average farm size in urban and rural areas was 167.84 and 233.94 decimal. Livestock population consisted of 80% poultry and 20% large animal. Poultry contributed 4% of the total income in the rural area and 3% in the urban area. Rural people have less knowledge on health and nutrition than that of urban people. Poultry consumption in both rural and urban area is certainly very low. A positive correlation of age with poultry consumption implies that per capita poultry consumption is higher for older people. Reverse case is expected to build a healthy society. From correlations it can be concluded that in urban area increased farm size, increased livestock population, increased income, better knowledge on health and nutrition and decreased family size should increase per capita poultry consumption. Correlations also indicate that decreased family size and better knowledge on health and nutrition could minimize problems of poultry consumption. In rural area correlations computed impress that increased literacy, increased farm size, increased livestock population, increased income and better knowledge on health and nutrition should increase per capita poultry consumption. Whereas, increased income could remove problems of poultry consumption. Keywords: Poultry; Consumption; Problem confrontation index; Pattern and problem DOI: 10.3329/jbau.v6i2.4827 J. Bangladesh Agril. Univ. 6(2): 307-313, 2008


2011 ◽  
Vol 15 (5) ◽  
pp. 1641-1660 ◽  
Author(s):  
M. Fader ◽  
D. Gerten ◽  
M. Thammer ◽  
J. Heinke ◽  
H. Lotze-Campen ◽  
...  

Abstract. The need to increase food production for a growing world population makes an assessment of global agricultural water productivities and virtual water flows important. Using the hydrology and agro-biosphere model LPJmL, we quantify at 0.5° resolution the amount of blue and green water (irrigation and precipitation water) needed to produce one unit of crop yield, for 11 of the world's major crop types. Based on these, we also quantify the agricultural water footprints (WFP) of all countries, for the period 1998–2002, distinguishing internal and external WFP (virtual water imported from other countries) and their blue and green components, respectively. Moreover, we calculate water savings and losses, and for the first time also land savings and losses, through international trade with these products. The consistent separation of blue and green water flows and footprints shows that green water globally dominates both the internal and external WFP (84 % of the global WFP and 94 % of the external WFP rely on green water). While no country ranks among the top ten with respect to all water footprints calculated here, Pakistan and Iran demonstrate high absolute and per capita blue WFP, and the US and India demonstrate high absolute green and blue WFPs. The external WFPs are relatively small (6 % of the total global blue WFP, 16 % of the total global green WFP). Nevertheless, current trade of the products considered here saves significant water volumes and land areas (~263 km3 and ~41 Mha, respectively, equivalent to 5 % of the sowing area of the considered crops and 3.5 % of the annual precipitation on this area). Relating the proportions of external to internal blue/green WFP to the per capita WFPs allows recognizing that only a few countries consume more water from abroad than from their own territory and have at the same time above-average WFPs. Thus, countries with high per capita water consumption affect mainly the water availability in their own country. Finally, this study finds that flows/savings of both virtual water and virtual land need to be analysed together, since they are intrinsically related.


2013 ◽  
Vol 295-298 ◽  
pp. 964-969 ◽  
Author(s):  
Su Ling Liu ◽  
Yu Xin Wang ◽  
Xiao Hui Mao

The water footprint and consumption pattern is an effective tool for quantitifying the volume of water resources consumption in certain region [ ].Shunyi’s water footprint in the period 2006-2010 is calculated in this article from the view of virtual water. The general water footprint in Shunyi District at the year 2010 reached 790 million m3 and water footprint per capita was 536.48 cubic meters. Shunyi 's water resource quantity per capita was 501.27 m3 in the same year and the Water Scarcity Index was 1.98. The result of calculation shows that the water resource volume of exploitation in Shunyi District of Beijing has been beyond the water resources carrying capacity.


2011 ◽  
Vol 8 (1) ◽  
pp. 483-527 ◽  
Author(s):  
M. Fader ◽  
D. Gerten ◽  
M. Thammer ◽  
J. Heinke ◽  
H. Lotze-Campen ◽  
...  

Abstract. The need to increase food production for a growing world population makes an assessment of global agricultural water productivities and virtual water flows important. Using the hydrology and agro-biosphere model LPJmL, we quantify at 0.5° resolution the blue (irrigation water) and green (precipitation water) virtual water content, i.e. the inverse of water productivity, for 11 of the world's major crop types. Based on these, we also quantify the water footprints (WFP) of all countries, for the period 1998-2002, distinguishing internal and external WFP (virtual water imported from other countries) and their blue and green components, respectively. Moreover, we calculate water savings and losses, and for the first time also land savings and losses, through international trade with these products. The consistent separation of blue and green water flows and footprints, which is needed due to the different sources and opportunity costs of these two water pools, shows that green water globally dominates both the internal and external WFP (84% of the global WFP and 94% of the external WFP rely on green water). Accordingly, some of the major exporters of the crops considered here (e.g. Argentina, Canada) export mainly green virtual water, but traditional rice exporters such as India and Pakistan mainly export blue virtual water. The external WFPs are found to be relatively small (6% of the total global blue WFP, 16% of the total global green WFP). Nevertheless, current trade saves significant water volumes and land areas (~263 km3 and ~41 Mha, respectively, equivalent to 5% of the sowing area of the crops considered here and 3.5% of the annual precipitation on this area). Linking the proportions of external to internal blue/green WFP with the per capita WFPs allows recognizing that only a few countries consume more water from abroad than from their own territory and have at the same time above average WFPs. Thus, countries with high levels of per capita water consumption affect mainly the water situation in their own country.


2021 ◽  
Vol 13 (13) ◽  
pp. 7076
Author(s):  
Guojing Li ◽  
Xinru Han ◽  
Qiyou Luo ◽  
Wenbo Zhu ◽  
Jing Zhao

We use a threshold model to analyze the relationship between per capita income and the per capita water footprint of food consumption in the urban Guangdong Province of China, and further simulate the effect of changes in income distribution on the per capita water footprint of food consumption. The income growth of urban residents has a significant positive effect on the per capita water footprint of food consumption, where the effect varies by income stratum. The income elasticity of the per capita water footprint of food consumption for the total sample is 0.45, where the income elasticity of the low-income group (0.75) is greater than that of the high-income group (0.23), indicating that a change of income in the low-income group has a greater effect on water resources. The simulation results show that increasing the income of residents, especially that of the low-income group, significantly increases the water footprint due to food consumption for the whole society. At present, China is in a period of rapid economic growth and urbanization, comprising a period of profound change and sensitive response to the income level of urban and rural residents. Therefore, in order to reduce the effect of food consumption on the environment, sustainable food consumption management strategies should consider group differences. We should correctly guide all kinds of groups to carry out sustainable consumption, advocate healthy and reasonable diet models, reduce animal food consumption, avoid the excessive consumption of food, and strengthen the management of food waste.


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