scholarly journals What is the Redline Water Withdrawal for Crop Production in China?—Projection to 2030 Derived from the Past Twenty-Year Trajectory

2020 ◽  
Vol 12 (10) ◽  
pp. 4188
Author(s):  
Feng Huang ◽  
Baoguo Li
Keyword(s):  
Water Consumption ◽  
Crop Production ◽  
Water Productivity ◽  
Water Withdrawal ◽  
Chinese Government ◽  
Crop Water ◽  
Depletion Rate ◽  
Food Decisions ◽  
Set Up ◽  
Business As Usual

The Chinese government set up a redline for water resources in 2011, mandating water withdrawals and management criteria to the year 2030. ‘How much water is required to produce sufficient crop to feed a 1.6 billion population in 2030?’ becomes a crucial question to be addressed. The objectives of this study are to: (1) document crop water use and productivity from 1998 to 2017 and (2) define the redline water withdrawal for crop use (REWCU) to 2030. The study inversely inferred REWCU from broadly-defined available water for crop use (BAWCU) and associated parameters. Of all BAWCU, 66.3% had been consumed by crops, in which rainfall-derived water consumption accounted for 71.7% of it, while the irrigation-derived water consumption represented the remaining 28.2%. Of all the rainfall that was available for crop use, 72.1%, or the rainfall depletion rate, had been actually consumed by crop evapotranspiration (ET). Likewise, 55.2%, or the irrigation depletion rate, had been consumed by crops. Crop water productivity (CWP) measured by crop yield per unit ET was computed for six major crop categories. Five broad scenarios have been formulated—business as usual, optimistic, deliberative optimistic, pessimistic, and deliberative pessimistic—under lower, higher, and average population and crop projections, respectively. The projected REWCU was 4166.30 × 108 m3, and the projected agricultural water withdrawal was 4629.22 × 108 m3 to 2030, representing 66.1% of the projected nationwide redline total water withdrawal (RETWW) of 7000 × 108 m3. The study used CWP and BAWCU to inversely infer REWCU since they reflect diverse biophysical and management factors and can be used as reliable proxies. Both methodology and research results may offer references and support when making nation- and region-wide water-for-food decisions by crop and water administrations.

scholarly journals Water savings potentials of irrigation systems: global simulation of processes and linkages

2015 ◽  
Vol 19 (7) ◽  
pp. 3073-3091 ◽  
Author(s):  
J. Jägermeyr ◽  
D. Gerten ◽  
J. Heinke ◽  
S. Schaphoff ◽  
M. Kummu ◽  
...  
Keyword(s):  
Water Consumption ◽  
Irrigation Water ◽  
Crop Yields ◽  
Water Productivity ◽  
Irrigation Efficiency ◽  
Sub Saharan Africa ◽  
Water Withdrawal ◽  
Indus Basin ◽  
Irrigation Systems ◽  
Regional Patterns

Abstract. Global agricultural production is heavily sustained by irrigation, but irrigation system efficiencies are often surprisingly low. However, our knowledge of irrigation efficiencies is mostly confined to rough indicative estimates for countries or regions that do not account for spatiotemporal heterogeneity due to climate and other biophysical dependencies. To allow for refined estimates of global agricultural water use, and of water saving and water productivity potentials constrained by biophysical processes and also non-trivial downstream effects, we incorporated a process-based representation of the three major irrigation systems (surface, sprinkler, and drip) into a bio- and agrosphere model, LPJmL. Based on this enhanced model we provide a gridded world map of irrigation efficiencies that are calculated in direct linkage to differences in system types, crop types, climatic and hydrologic conditions, and overall crop management. We find pronounced regional patterns in beneficial irrigation efficiency (a refined irrigation efficiency indicator accounting for crop-productive water consumption only), due to differences in these features, with the lowest values (< 30 %) in south Asia and sub-Saharan Africa and the highest values (> 60 %) in Europe and North America. We arrive at an estimate of global irrigation water withdrawal of 2469 km3 (2004–2009 average); irrigation water consumption is calculated to be 1257 km3, of which 608 km3 are non-beneficially consumed, i.e., lost through evaporation, interception, and conveyance. Replacing surface systems by sprinkler or drip systems could, on average across the world's river basins, reduce the non-beneficial consumption at river basin level by 54 and 76 %, respectively, while maintaining the current level of crop yields. Accordingly, crop water productivity would increase by 9 and 15 %, respectively, and by much more in specific regions such as in the Indus basin. This study significantly advances the global quantification of irrigation systems while providing a framework for assessing potential future transitions in these systems. In this paper, presented opportunities associated with irrigation improvements are significant and suggest that they should be considered an important means on the way to sustainable food security.

scholarly journals Influence of Spatial Resolution on Remote Sensing-Based Irrigation Performance Assessment Using WaPOR Data

2020 ◽  
Vol 12 (18) ◽  
pp. 2949
Author(s):  
Megan Blatchford ◽  
Chris M. Mannaerts ◽  
Yijian Zeng ◽  
Hamideh Nouri ◽  
Poolad Karimi
Keyword(s):  
Remote Sensing ◽  
Open Access ◽  
Performance Assessment ◽  
Spatial Resolution ◽  
Performance Indicators ◽  
Crop Production ◽  
Water Productivity ◽  
Temporal Trends ◽  
Irrigation Performance ◽  
Crop Water

This paper analyses the effect of the spatial assessment scale on irrigation performance indicators in small and medium-scale agriculture. Three performance indicators—adequacy (i.e., sufficiency of water use to meet the crop water requirement), equity (i.e., fairness of irrigation distribution), and productivity (i.e., unit of physical crop production/yield per unit water consumption)—are evaluated in five irrigation schemes for three spatial resolutions—250 m, 100 m, and 30 m. Each scheme has varying plot sizes and distributions, with average plot sizes ranging from 0.2 ha to 13 ha. The datasets are derived from the United Nations Food and Agricultural Organization (FAO) water productivity through open access of remotely sensed–derived data (the Water Productivity Open Access Portal—WaPOR) database. Irrigation indicators performed differently in different aspects; for adequacy, all three resolutions show similar spatial trends for relative evapotranspiration (ET) across levels for all years. However, the estimation of relative ET is often higher at higher resolution. In terms of equity, all resolutions show similar inter-annual trends in the coefficient of variation (CV); higher resolutions usually have a higher CV of the annual evapotranspiration and interception (ETIa) while capturing more spatial variability. For productivity, higher resolutions show lower crop water productivity (CWP) due to higher aboveground biomass productivity (AGBP) estimations in lower resolutions; they always have a higher CV of CWP. We find all resolutions of 250 m, 100 m, and 30 m suitable for inter-annual and inter-scheme assessments regardless of plot size. While each resolution shows consistent temporal trends, the magnitude of the trend in both space and time is smoothed by the 100 m and 250 m resolution datasets. This frequently results in substantial differences in the irrigation performance assessment criteria for inter-plot comparisons; therefore, 250 m and 100 m are not recommended for inter-plot comparison for all plot sizes, particularly small plots (<2 ha). Our findings highlight the importance of selecting the spatial resolution appropriate to scheme characteristics when undertaking irrigation performance assessment using remote sensing.

scholarly journals Performance Evaluation of Sesame under Regulated Deficit Irrigation Application in the Low Land of Western Gondar, Ethiopia

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Sisay Ambachew Mekonnen ◽  
Assefa Sintayehu
Keyword(s):  
Deficit Irrigation ◽  
Crop Production ◽  
Water Productivity ◽  
Irrigation Scheduling ◽  
Growth Stages ◽  
Crop Water ◽  
Crop Water Productivity ◽  
Moisture Deficit ◽  
North Western ◽  
Western Ethiopia

Sesame (Sesamum indicum L.) is the leading oil seed crop produced in Ethiopia. It is the second most important agricultural commodity for export market in the country. It is well suited as an alternative crop production system, and it has low crop water requirement with moderate resistance to soil moisture deficit. The low land of North Western Ethiopia is the major sesame producer in the country, and the entire production is from rainfed. The rainfall distribution in North Western Ethiopia is significantly varied. This significant rainfall variability hampers the productivity of sesame. Irrigation agriculture has the potential to stabilize crop production and mitigate the negative impacts of variable rainfall. This study was proposed to identify critical growth stages during which sesame is most vulnerable to soil moisture deficit and to evaluate the crop water productivity of sesame under deficit irrigation. The performance of sesame to stage-wise and uniform deficit irrigation scheduling technique was tested at Gondar Agricultural Research Center (Metema Station), Northern Western Ethiopia. Eight treatments, four stage-wise deficit, two uniform deficit, one above optimal, and one optimal irrigation applications, were evaluated during the 2017 irrigation season. The experiment was designed as a randomized complete block design with three replications. Plant phenological variables, grain yield and crop water productivity, were used for performance evaluation. The result showed that deficit irrigation can be applied both throughout and at selected growth stages except the midseason stage. Imposing deficit during the midseason gave the lowest yield indicating the severe effect of water deficit during flowering and capsule initiation stages. When deficit irrigation is induced throughout, a 25% uniform deficit irrigation can give the highest crop water productivity with no or little yield reduction as compared with optimal irrigation. Implementing deficit irrigation scheduling technique will be beneficial for sesame production. Imposing 75% deficit at the initial, development, late season growth stages or 25% deficit irrigation throughout whole seasons will improve sesame crop water productivity.

Agricultural infrastructure: the forgotten key driving force on crop-related water footprints and virtual water flows in developing countries: a case for China

2020 ◽  
Author(s):  
Hongrong Huang ◽  
La Zhuo ◽  
Pute Wu
Keyword(s):  
Developing Countries ◽  
Water Consumption ◽  
Environmental Sustainability ◽  
Crop Production ◽  
Water Footprint ◽  
Water Productivity ◽  
Virtual Water ◽  
High Water ◽  
North Coast ◽  
Water Flows

&lt;p&gt;Agricultural infrastructure plays important roles in boosting food production and trade system in developing countries, while as being a &amp;#8216;grey solutions&amp;#8217;, generates increasingly risks on the environmental sustainability. There is little information on impacts of agricultural infrastructure developments on water consumption and flows, (i.e. water footprint and virtual water flows) related to crop production, consumption and trade especially in developing countries with high water risk. Here we, taking mainland China over 2000-2017 as the study case, identified and evaluated the strengths and spatial heterogeneities in main socio-economic driving factors of provincial water footprints and inter-provincial virtual water flows related to three staple crops (rice, wheat and maize). For the first time, we consider irrigation (II), electricity (EI) and road infrastructures (RI) in the driving factor analysis through the extended STIRPAT (stochastic impacts by regression on population, affluence and technology) model. Results show that the II, EI and RI in China were expanded by 33.8 times, 4.5 times and 2.4 times, respectively by year 2017 compared to 2000. Although the II was the most critical driver to effectively reduce the per unit water footprint, especially the blue water footprint in crop production (i.e., increasing water efficiency), the developments of II led to the bigger total water consumption. Such phenomenon was observed in Jing-Jin region, North Coast and Northwest China with water resource shortage. The EI and RI had increasing effects on provincial virtual water export, and the corresponding driving strengths varied across spaces. Obviously, the visible effects from the agricultural infrastructures on regional water consumption, water productivity and virtual water patterns cannot be neglected.&amp;#160;&lt;/p&gt;

scholarly journals A Decoupling Analysis of the Crop Water Footprint Versus Economic Growth in Beijing, China

2021 ◽  
Vol 9 ◽  
Author(s):  
Kai Huang ◽  
Mengqi Wang ◽  
Zhongren Zhou ◽  
Yajuan Yu ◽  
Yixing Bi
Keyword(s):  
Economic Growth ◽  
Water Use ◽  
Water Consumption ◽  
Crop Production ◽  
Water Footprint ◽  
Social Economy ◽  
Agricultural Water ◽  
Crop Water ◽  
Entire Study ◽  
Agricultural Water Use

Beijing, the capital of China, is experiencing a serious lack of water, which is becoming a main factor in the restriction of the development of the social economy. Due to the low economic efficiency and high consumption proportion of agricultural water use, the relationship between economic growth and agricultural water use is worth investigating. The “decoupling” index is becoming increasingly popular for identifying the degree of non-synchronous variation between resource consumption and economic growth. However, few studies address the decoupling between the crop water consumption and agricultural economic growth. This paper involves the water footprint (WF) to assess the water consumption in the crop production process. After an evaluation of the crop WF in Beijing, this paper applies the decoupling indicators to examine the occurrence of non-synchronous variation between the agricultural gross domestic product (GDP) and crop WF in Beijing from 1981 to 2013. The results show that the WF of crop production in 2013 reduced by 62.1% compared to that in 1980 — in total, 1.81 × 109 m3. According to the decoupling states, the entire study period is divided into three periods. From 1981 to 2013, the decoupling states represented seventy-five percent of the years from 1981 to 1992 (Period I) with a moderate decoupling degree, more than ninety percent from 1993 to 2003 (Period II) with a very strong decoupling degree and moved from non-decoupling to strong decoupling from 2004 to 2013 (Period III). Adjusting plantation structure, technology innovation and raising awareness of water-saving, may promote the decoupling degree between WF and agricultural GDP in Beijing.

Managing water resources in Libya through reducing irrigation water demand: more crop production with less water use

2013 ◽  
Vol 44 ◽  
pp. 95-102
Author(s):  
Saad Ahmad Alghariani
Keyword(s):  
Water Use ◽  
Water Demand ◽  
Crop Production ◽  
Crop Yields ◽  
Agricultural Research ◽  
Water Productivity ◽  
National Level ◽  
Crop Water ◽  
Irrigation Water Demand ◽  
Crop Water Productivity

AbstractThe looming water crisis in Libya necessitates taking immediate action to reduce the agricultural water demand that consumes more than 80% of the water supplies. The available information on water use efficiency and crop water productivity reveals that this proportion can be effectively reduced while maintaining the same, if not more, total agricultural production at the national level. Crop water productivity, which is depressingly low, can be doubled through implementing several measures including relocating all major agricultural crops among different hydroclimatic zones and growth seasons; crop selection based on comparative production advantages; realisation of the maximum genetically determined crop yields; and several other measures of demand water management. There is an urgent need to establish the necessary institutional arrangements that can effectively formulate and implement these measures as guided by agricultural research and extension services incorporating all beneficiaries and stakeholders in the process.

scholarly journals Assessment of Crop Water Productivity in an Intensively Cultivated Watershed of Peninsular India

2021 ◽  
Author(s):  
K. Avil Kumar ◽  
M. Uma Devi ◽  
M.D. Reddy ◽  
A. Mani ◽  
D.V. Mahalaxmi ◽  
...  
Keyword(s):  
Ground Water ◽  
Water Use ◽  
Irrigation Water ◽  
Crop Production ◽  
Standard Procedure ◽  
Water Productivity ◽  
Crop Productivity ◽  
Rice Crop ◽  
Crop Water ◽  
Peninsular India

Background: India is facing high water stress and it is amongst those with the most fragile and uncertain water resource countries in the world. Crop productivity depends on quality of input supply including seeds, fertilizers, pesticides and supported by irrigation facilities. In India, ground water irrigates more than 61% of net cropped area and much of water being used for irrigating rice crop. The disproportionate water uses for crop production results in poor water productivity. The planning of water resources could be achieved by knowing the crop water requirements in different seasons and productivity of water. Hence, study was taken up to assess the water use and productivity of crops under intensively ground water irrigated watershed.Methods: A study conducted to assess the water use and productivity of different crops grown in Kothakunta sub watershed (having 206 working bore wells with cultivated area of 203.5 ha) in Siddipet district of Telangana, India during kharif and rabi season of 2008 to 2012, data were collected from 147 farmers on rice, maize, cotton, potato, flora beans and tomato crops grown under irrigation. The water applied to crops was measured by fixing water meters at the end of water delivery pipe and recorded the quantity of water applied each time. For rice crop four plots were taken and for other crops two plots were taken for measuring the water. The water use and productivity were assessed by using standard procedure. Result: The water productivity was found to be higher to vegetables, which ranged between 2.43 kg of potato, 1.57 kg of beans and 1.26 kg of tomato than cereals (0.79 kg for maize and 0.39 kg for rabi rice) per cubic meter of irrigation water consumed. Water productivity in terms of monetary return (₹) per cubic meter of water consumed was higher with beans (₹ 17.20) in contrast to potato (₹ 16.12). Rice equivalent yield (REY) calculated per cubic meter of irrigation water consumption was very similar to economic return (₹ per cubic meter of water).

scholarly journals Water savings potentials of irrigation systems: dynamic global simulation

2015 ◽  
Vol 12 (4) ◽  
pp. 3593-3644 ◽  
Author(s):  
J. Jägermeyr ◽  
D. Gerten ◽  
J. Heinke ◽  
S. Schaphoff ◽  
M. Kummu ◽  
...  
Keyword(s):  
Water Consumption ◽  
Irrigation Water ◽  
Crop Yields ◽  
Water Productivity ◽  
Irrigation Efficiency ◽  
Sub Saharan Africa ◽  
Water Withdrawal ◽  
Irrigation Systems ◽  
Regional Patterns ◽  
Dynamic Representation

Abstract. Global agricultural production is heavily sustained by irrigation, but irrigation system efficiencies are often surprisingly low. However, our knowledge of irrigation efficiencies is mostly confined to rough indicative estimates for countries or regions that do not account for spatio-temporal heterogeneity due to climate and other biophysical dependencies. To allow for refined estimates of global agricultural water use, and of water saving and water productivity potentials constrained by biophysical processes and also non-trivial downstream effects, we incorporated a dynamic representation of the three major irrigation systems (surface, sprinkler, and drip) into a process-based bio- and agrosphere model, LPJmL. Based on this enhanced model we provide a gridded worldmap of dynamically retrieved irrigation efficiencies reflecting differences in system types, crop types, climatic and hydrologic conditions, and overall crop management. We find pronounced regional patterns in beneficial irrigation efficiency (a refined irrigation efficiency indicator accounting for crop-productive water consumption only), due to differences in these features, with lowest values (< 30%) in South Asia and Sub-Saharan Africa and highest values (> 60%) in Europe and North America. We arrive at an estimate of global irrigation water withdrawal of 2396 km3 (2004–2009 average); irrigation water consumption is calculated to be 1212 km3, of which 511 km3 are non-beneficially consumed, i.e. lost through evaporation, interception, and conveyance. Replacing surface systems by sprinkler or drip systems could, on average across the world's river basins, reduce the non-beneficial consumption at river basin level by 54 and 76%, respectively, while maintaining the current level of crop yields. Accordingly, crop water productivity would increase by 9 and 15%, respectively, and by much more in specific regions such as in the Indus basin. This study significantly advances the global quantification of irrigation systems while providing a framework for assessing potential future transitions in these systems. Here presented opportunities associated with irrigation improvements are significant and suggest that they should be considered an important means on the way to sustainable food security.

scholarly journals WATER FOOTPRINT OF CROP PRODUCTION IN TEHRAN PROVINCE

2019 ◽  
Vol 17 ◽  
Author(s):  
Somayeh Rezaei Kalvani ◽  
Amir Hamzah Sharaai ◽  
Latifah Abd Manaf ◽  
Amir Hossein Hamidian
Keyword(s):  
Water Consumption ◽  
Water Scarcity ◽  
Crop Production ◽  
Agricultural Sector ◽  
Water Footprint ◽  
Water Productivity ◽  
Blue Water ◽  
Agricultural Water ◽  
Severe Water Stress ◽  
Tehran Province

Evaluation of supply chain of water consumption contributes toward reducing water scarcity, as it allows for increased water productivity in the agricultural sector. Water Footprint (WF) is a powerful tool for water management; it accounts for the volume of water consumption at high spatial and temporal resolution. The objective of this research is to investigate the water footprint trend of crop production in Tehran from 2008 to 2015 and to assess blue water scarcity in the agricultural sector. Water consumption of crop production was evaluated based on the WF method. Evapotranspiration was evaluated by applying the CROPWAT model. Blue water scarcity was evaluated using the blue water footprint-to-blue water availability formula. The results demonstrate that pistachio, cotton, walnut, almond, and wheat have a large WF, amounting to 11.111 m3/kg, 4,703 m3/kg, 3,932 m3/kg, 3,217 m3/kg, and 1.817 m3/kg, respectively. Agricultural blue water scarcity amounted to 0.6 (severe water stress class) (2015–2016). Agricultural water consumption in Tehran is unsustainable since it contributes to severe blue water scarcity. Tehran should reduce agricultural water scarcity by reducing the water footprint of the agricultural sector.

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