scholarly journals Limitations of Water Resources to Crop Water Requirement in the Irrigation Districts along the Lower Reach of the Yellow River in China

2019 ◽  
Vol 11 (17) ◽  
pp. 4680 ◽  
Author(s):  
Lei Liu ◽  
Jianqin Ma ◽  
Xiuping Hao ◽  
Qingyun Li
Keyword(s):  
Winter Wheat ◽  
Water Supply ◽  
Water Demand ◽  
Yellow River ◽  
Water Requirement ◽  
The Yellow River ◽  
Lower Reach ◽  
Crop Water ◽  
Irrigation Districts ◽  
The Impact

To analyze the water-resource limitations for crops in irrigation districts along the lower reach of the Yellow River, we used the single-crop coefficient method provided by FAO-56 to analyze crop water demand (CWD) and irrigation water requirement (IWR) for the main crops (winter wheat, summer maize, and cotton) from 1971 to 2015. The impact of climate threats on IWR was then quantified based on the standardized precipitation evapotranspiration index (SPEI), following which the conflicts between water demand and water supply were analyzed. The results show that about 75.4% of the total annual IWR volume is concentrated from March to June. Winter wheat is the largest water consumer; it used an average of 67.9% of the total IWR volume. The study area faced severe water scarcity, and severe water deficits occurred mainly between March and June, which is consistent with the occurrence of drought. With the runoff from the Yellow River Basin further decreasing in the future, the water supply is expected to become more limited. IWR is negatively correlated with the SPEI. Based on the relationship between SPEI and IWR, the water allocation for irrigation can be planned at different timescales to meet the CWD of different crops.

scholarly journals The relationship between irrigation water demand and drought in the Yellow River basin

2016 ◽  
Vol 374 ◽  
pp. 129-136 ◽  
Author(s):  
Yu Wang ◽  
Weihao Wang ◽  
Shaoming Peng ◽  
Guiqin Jiang ◽  
Jian Wu
Keyword(s):  
River Basin ◽  
Irrigation Water ◽  
Water Demand ◽  
Yellow River ◽  
Yellow River Basin ◽  
Irrigation District ◽  
The Yellow River ◽  
Irrigation Water Demand ◽  
Irrigation Districts ◽  
The Yellow River Basin

Abstract. In order to organize water for drought resistance reasonably, we need to study the relationship between irrigation water demand and meteorological drought in quantitative way. We chose five typical irrigation districts including the Qingtongxia irrigation district, Yellow River irrigation districts of Inner Mongolia in the upper reaches of the Yellow River, the Fen river irrigation district and the Wei river irrigation district in the middle reaches of the Yellow River and the irrigation districts in the lower reaches of the Yellow River as research area. Based on the hydrology, meteorology, groundwater and crop parameters materials from 1956 to 2010 in the Yellow River basin, we selected reconnaissance drought index (RDI) to analyze occurrence and evolution regularity of drought in the five typical irrigation districts, and calculated the corresponding irrigation water demand by using crop water balance equation. The relationship of drought and irrigation water demand in each typical irrigation district was studied by using grey correlation analysis and relevant analysis method, and the quantitative relationship between irrigation water demand and RDI was established in each typical irrigation district. The results showed that the RDI can be applied to evaluate the meteorological drought in the typical irrigation districts of the Yellow River basin. There is significant correlation between the irrigation water demand and RDI, and the grey correlation degree and correlation coefficient increased with increasing crops available effective rainfall. The irrigation water demand of irrigation districts in the upstream, middle and downstream of the Yellow River basin presented different response degrees to drought. The irrigation water demand increased 105 million m3 with the drought increasing one grade (RDI decreasing 0.5) in the Qingtongxia irrigation district and Yellow River irrigation districts of Inner Mongolia. The irrigation water demand increased 219 million m3 with the drought increasing one grade in the Fen river irrigation district and Wei river irrigation district. The irrigation water demand increased 622 million m3 with the drought increasing one grade in the downstream of Yellow River irrigation districts.

Impact of Global Warming on Water Requirement of Main Crops in Oasis Irrigated Area in Yanqi Basin

2014 ◽  
Vol 955-959 ◽  
pp. 3079-3087 ◽  
Author(s):  
Ai Hong Fu ◽  
Ya Ning Chen ◽  
Wei Hong Li
Keyword(s):  
Winter Wheat ◽  
Irrigation Water ◽  
Water Demand ◽  
Water Requirement ◽  
Future Climate Change ◽  
Absolute Increase ◽  
Relative Growth ◽  
Yanqi Basin ◽  
The Absolute ◽  
The Impact

After simulating climate scenarios using incremental scenarios, the impact of future climate change on water requirement of winter wheat, summer corn and cotton in Yanqi basin was analyzed. The results showed that, (1) There was linearly proportional relationship between the crop water demand and increased temperature; when the future temperature rose 1-4 °C, the relative and absolute increase of water requirement of summer corn and winter wheat were more than that of cotton; the absolute and relative growth of water requirement of cotton was smaller. (2) In the different region, the relative increase of water requirement in Yanqi County was more than that of any other county; the relative growth of Hejing County is smaller 0.5%-47.21% than that of Yanqi County. The absolute increase of water requirement in Hejing County was the largest; the absolute increase in Heshuo County was the minimum, smaller 0.413-2.955mm than that of Hejing county. (3) Climate warming impacted on irrigation water demand of summer corn and cotton seriously, with the minimum impact on that of winter wheat. When the temperature rose 1-4°C, total irrigation water requirement in Yanqi basin increased by 6.02, 13.99, 20.87 and 28.17 ×108 m3. It can be seen that, it is appropriate to reduce summer corn planting area in the Yanqi basin, especially in Hejing county in the dry years.

Study on Calculation Methods of Agricultural Water Supply Cost in the Plain Irrigation Area of the Yellow River

2012 ◽  
Vol 212-213 ◽  
pp. 498-501
Author(s):  
Rui Guo ◽  
Sheng Le Cao
Keyword(s):  
Water Supply ◽  
Yellow River ◽  
Water Pricing ◽  
Water Price ◽  
The Yellow River ◽  
Agricultural Water ◽  
Calculation Methods ◽  
Irrigation Area ◽  
Agricultural Water Supply

Scientific and reasonable water price is the foundation of beneficial operation of water supply project, and water pricing is on the basis of per cubic meter water supply cost. According to characteristics of water supply project in the plain irrigation area of the Yellow River, a research on calculation methods of agricultural water supply cost is made. Calculation formulas of project lines are put forward and an example was given.

scholarly journals Domestic water demand forecasting in the Yellow River basin under changing environment

2018 ◽  
Vol 10 (3) ◽  
pp. 379-388
Author(s):  
Xiao-jun Wang ◽  
Jian-yun Zhang ◽  
Shamsuddin Shahid ◽  
Lang Yu ◽  
Chen Xie ◽  
...  
Keyword(s):  
River Basin ◽  
Water Demand ◽  
Yellow River ◽  
Yellow River Basin ◽  
The Yellow River ◽  
Earth System ◽  
Domestic Water ◽  
Content Type ◽  
Domestic Water Demand ◽  
The Yellow River Basin

Purpose The purpose of this paper is to develop a statistical-based model to forecast future domestic water demand in the context of climate change, population growth and technological development in Yellow River. Design/methodology/approach The model is developed through the analysis of the effects of climate variables and population on domestic water use in eight sub-basins of the Yellow River. The model is then used to forecast water demand under different environment change scenarios. Findings The model projected an increase in domestic water demand in the Yellow River basin in the range of 67.85 × 108 to 62.20 × 108 m3 in year 2020 and between 73.32 × 108 and 89.27 × 108 m3 in year 2030. The general circulation model Beijing Normal University-Earth System Model (BNU-ESM) predicted the highest increase in water demand in both 2020 and 2030, while Centre National de Recherches Meteorologiques Climate Model v.5 (CNRM-CM5) and Model for Interdisciplinary Research on Climate- Earth System (MIROC-ESM) projected the lowest increase in demand in 2020 and 2030, respectively. The fastest growth in water demand is found in the region where water demand is already very high, which may cause serious water shortage and conflicts among water users. Originality/value The simple regression-based domestic water demand model proposed in the study can be used for rapid evaluation of possible changes in domestic water demand due to environmental changes to aid in adaptation and mitigation planning.

scholarly journals SWAT-Based Runoff Simulation and Runoff Responses to Climate Change in the Headwaters of the Yellow River, China

Atmosphere ◽  
2019 ◽  
Vol 10 (9) ◽  
pp. 509
Author(s):  
Jingwen Wu ◽  
Haiyan Zheng ◽  
Yang Xi
Keyword(s):  
Climate Change ◽  
Assessment Tool ◽  
Water Cycle ◽  
Yellow River ◽  
Annual Runoff ◽  
The Yellow River ◽  
Runoff Simulation ◽  
Alpine Regions ◽  
Slight Upward Trend ◽  
The Impact

Runoff in snowy alpine regions is sensitive to climate change in the context of global warming. Exploring the impact of climate change on the runoff in these regions is critical to understand the dynamics of the water cycle and for the improvement of water resources management. In this study, we analyzed the long-term variations in annual runoff in the headwaters region of the Yellow River (HRYR) (a typical snowy mountain region) during the period of 1956–2012. The Soil and Water Assessment Tool (SWAT) with different elevation bands was employed to assess the performance of monthly runoff simulations, and then to evaluate the impacts of climate change on runoff. The results show that the observed runoff for the hydrological stations at lower relative elevations (i.e., Maqu and Tangnaihai stations) had a downward trend, with rates of 1.91 and 1.55 mm/10 years, while a slight upward trend with a rate of 0.26 mm/10 years was observed for the hydrological station at higher elevation (i.e., Huangheyan station). We also found that the inclusion of five elevation bands could lead to more accurate runoff estimates as compared to simulation without elevation bands at monthly time steps. In addition, the dominant cause of the runoff decline across the whole HRYR was precipitation (which explained 64.2% of the decrease), rather than temperature (25.93%).

The impact of runoff flux and reclamation on the spatiotemporal evolution of the Yellow River estuarine wetlands

2021 ◽  
Vol 212 ◽  
pp. 105804
Author(s):  
Dongxue Yu ◽  
Guangxuan Han ◽  
Xiaojie Wang ◽  
Baohua Zhang ◽  
Franziska Eller ◽  
...  
Keyword(s):  
Yellow River ◽  
The Yellow River ◽  
Spatiotemporal Evolution ◽  
Estuarine Wetlands ◽  
River Estuarine ◽  
The Impact
Sign in / Sign up

Export Citation Format

Share Document