Water footprint characteristic of less developed water-rich regions: Case of Yunnan, China

Qian, Yiying; Dong, Huijuan; Geng, Yong; Zhong, Shengyi; Tian, Xu; Yang, Yu; Chen, Yihui; Moss, Dana Avery

doi:10.1016/j.watres.2018.03.075

Cited by 57 publications

(18 citation statements)

References 32 publications

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“…The SDA methods have been widely used to assess the driving forces of changes in emission or resources use embodied in trade, like CO 2 (Mi et al, 2017a(Mi et al, , 2018 or water resources (Qian et al, 2018). Under the SDA framework, five factors have often been considered (population, efficiency, production structure, consumption patterns and consumption volume) (Mi et al, 2017b).…”

Section: Structural Decomposition Analysis (Sda) For the Variation Of Virtual Water Flows During 2002e2012mentioning

confidence: 99%

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Drivers of virtual water flows on regional water scarcity in China

Cai

Wei

Hubacek

et al. 2019

Journal of Cleaner Production

121

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Section: Structural Decomposition Analysis (Sda) For the Variation Of Virtual Water Flows During 2002e2012mentioning

confidence: 99%

“…While there are a few provincial level MRIO/SDA study such as Qian et al (2018) with a focus on Yunnan, a comprehensive study on China assessing variation of virtual water flows and its driving forces is still lacking. Moreover, the SDA method used by Qian et al has not distinguished local and external driving factors.…”

Section: Introductionmentioning

confidence: 99%

Drivers of virtual water flows on regional water scarcity in China

Cai

Wei

Hubacek

et al. 2019

Journal of Cleaner Production

121

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show abstract

“…, şehirleşmenin su ayak izine etkisi [49][50][51], az şehirleşme oranına ve zengin su kaynaklarına sahip bölgelerin su ayak izi [52,53], şehir bazında tarımsal [54], evsel [55], yeraltı suyu ayak izi [56], gri ve yeşil su ayak izleri [57] ve direk su kullanımının [58] su ayak izleri literatürde tartışılmıştır.…”

Section: Gi̇ri̇ş (Introduction)unclassified

Assessment of water footprint of production: A case study for Diyarbakır province

Muratoğlu

2019

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi

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Detailed analysis of agricultural, livestock and domestic/industrial water footprint for Diyarbakir province  The effect of dry and wet seasons on the water footprint of the study area  Virtual water contents of agricultural products growing in the region Rapid urbanization, increasing per capita water consumption and pollution together with the developing industry necessitated to process more effective measurement, management and decision mechanisms on regional water resources. The concept of water footprint (WF) is a new parameter that has been introduced to the scientific literature in recent years similar to the ecological and carbon footprints. The water footprint of any field or product refers to the total volume of water resources that is processed or contaminated directly or indirectly during the production process. The current work is one of the first studies assessing and discussing the water footprint indicators of Diyarbakir province. Figure A. Water footprint of production in Diyarbakır province for 2008-2019 Purpose: The main purposes of this study are; analyzing blue and green water footprints of agricultural, livestock, industrial production and domestic use in Diyarbakır province for 2008-2019, determining the virtual water contents of crops produced in the region, analyzing the effect of dry and wet seasons on the water footprint of the region. Theory and Methods: Recently developed water footprint methodology has been used. The blue and green evapotranspiration amounts were estimated by CWR option in CROPWAT 8.0 software. Wide range of statistical data including long term meteorological data, areal rainfall statistics, local crop coefficients, cultivation area, crop production amounts, animal statistics, industrial and domestic water consumption data have been utilized. Results: Average annual water footprint of the study area of 11 years between 2008-2019 was determined to be 3.4 Gm 3. Agriculture is the most water intensive sector being responsible from 86 % of total water footprint. Wheat is identified to be the most important crop which consumes around 42 % of total (ground, surface and rainfall) water. The green water ratio of wheat was determined as 73 % which significantly reduces the blue water dependency of the region. On the other hand, cotton, grapes and maize production were found to be critical because of their high production amounts together with having extremely high blue (surface and ground) water shares, specifically at the study area. The water footprint indicators of wet and dry seasons were also analyzed and discussed. It is determined that, the blue water ratio could be significantly increased up to 60 % in the dry seasons, despite considerably lower crop production amounts. Conclusion: The study area owns very fertile lands for crop production. However, limited water resources and scarcity of the region restrict the agricultural and other water intensive sectors' activities. Sustainability of fresh water resources of the study area could be provided by reducing the wate...

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“…Comprehensive consideration of regional blue water, green water and grey water footprints is the core of water footprint theory (Castellanos et al 2016). Since the theory considers the direct and indirect water consumption of all processes in the production of an agricultural product, it has been widely used by scholars since its introduction in 2002 (Xinchun et al 2017a(Xinchun et al , 2017bDong et al 2018;Xu et al 2019;Zhang et al 2019). In agricultural production, the loss of the surface water and groundwater from irrigation water is considered the blue water footprint.…”

Section: Introductionmentioning

confidence: 99%

Quantitative assessment of the dynamics and attribution of arable land water scarcity for arid and semiarid areas based on water footprint framework: the Inner Mongolia case

2021

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Growing water shortages have been a systemic risk around the world, especially in arid and semi-arid areas, with seriously threatening global food security and human well-being. Reasonable and accurate evaluations of the water shortages of cultivated lands provide scientific reference for irrigation strategies. In this study, to better understand the distribution and cause of water scarcity for the arid and semiarid areas, we used the arable land water scarcity index (AWSI), based on water footprint theory to accurately estimate the temporal and spatial patterns of the AWSI of Inner Mongolia in China over 1999–2018, and further reveal the key factors influencing the AWSI distribution. The AWSI distribution pattern of Inner Mongolia was high in southwest and low in northeast, with an average value of 0.63 and suffering from high water stress for a long time. The AWSI presented an increasing trend in 1999–2018, with slow in west (change rate2%) and fast in east (2%). The main factors that significantly affected the AWSI were precipitation, relative humidity, and agricultural planting area. This study can provide scientific reference for the formulation of agricultural water management and sustainable use strategies in arid and semiarid areas.

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Water footprint characteristic of less developed water-rich regions: Case of Yunnan, China

Cited by 57 publications

References 32 publications

Drivers of virtual water flows on regional water scarcity in China

Drivers of virtual water flows on regional water scarcity in China

Assessment of water footprint of production: A case study for Diyarbakır province

Quantitative assessment of the dynamics and attribution of arable land water scarcity for arid and semiarid areas based on water footprint framework: the Inner Mongolia case

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