scholarly journals Spatiotemporal Patterns of Crop Irrigation Water Requirements in the Heihe River Basin, China

Water ◽  
2017 ◽  
Vol 9 (8) ◽  
pp. 616 ◽  
Author(s):  
Yaqun Liu ◽  
Wei Song ◽  
Xiangzheng Deng
Keyword(s):  
River Basin ◽  
Irrigation Water ◽  
Heihe River Basin ◽  
Spatiotemporal Patterns ◽  
Heihe River ◽  
Water Requirements ◽  
The Heihe River Basin ◽  
Crop Irrigation

A distributed hydrological model in the Heihe River basin and its potential for estimating the required irrigation water

2016 ◽  
Vol 48 (1) ◽  
pp. 191-213 ◽  
Author(s):  
Lei Li ◽  
Zongxue Xu ◽  
Jie Zhao ◽  
Longqiang Su
Keyword(s):  
River Basin ◽  
Irrigation Water ◽  
Grid Cell ◽  
Control Site ◽  
Water Requirement ◽  
Heihe River Basin ◽  
Heihe River ◽  
Grid Cells ◽  
Irrigation Water Requirement ◽  
The Heihe River Basin

A Grid-based Integrated Surface–Groundwater Model (GISMOD) was developed to estimate the required irrigation water using a control-site method. The entire catchment is divided into multiple grid cells of equal size, and several grid cells can be chosen as the control sites by users in this model. The grid cells from the upper stream of each control site, which have a land-use type of farmland, are automatically identified as a controlled grid cell. The crop information around each controlled grid cell is set to be the same as its corresponding control site. Next, the irrigation water requirement for each controlled grid cell is calculated using a crop coefficient method that is integrated into the human water-use module of the GISMOD. After runoff is generated, the actual discharge of each control site is computed by comparing the available water sources with the irrigation water requirement based on the water-supply operation rules of the model. This paper subsequently presents a case study in the upper-middle reaches of the Heihe River to evaluate the performance of the GISMOD. The results demonstrate that the actual water consumption for irrigation in the Heihe River basin could be generally estimated by the GISMOD on a monthly basis.

scholarly journals Estimating Evaporation from Irrigation Canals in the Midstream Areas of the Heihe River Basin by a Double-Deck Surface Air Layer (DSAL) Model

Water ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1788
Author(s):  
Weizhen Wang ◽  
Feinan Xu ◽  
Suhua Liu ◽  
Long Wei ◽  
Jiaojiao Feng ◽  
...  
Keyword(s):  
River Basin ◽  
Irrigation Water ◽  
Heihe River Basin ◽  
Heihe River ◽  
Irrigation Canals ◽  
Running Water ◽  
Evaporation Loss ◽  
Surface Air Layer ◽  
The Heihe River Basin

Accurate quantification of evaporation loss from irrigation canals at an irrigation district scale is very useful for developing efficient irrigation strategies, particularly in water-deficient regions. The double-deck surface air layer (DSAL) model, a new aerodynamic method proposed by Kobayashi et al. (2013), is used for estimating the evaporation loss from a running water surface in irrigation canals. In this study, based on the long-term meteorological measurements made at automatic weather stations in 2013 and the field experiment conducted at - midstream areas of the Heihe River Basin (HRB), northwestern China, the DSAL model was applied to estimate the long-term evaporation loss from irrigation canals, which was the remarkable highlight of the study. The results showed that the rate of evaporation from irrigation canals exhibited a concave-up trend for the period from June to September, with higher values in June and September (20 to 50 mm day−1) and lower values in July and August (around 10 mm day−1). During the four months, for the Yingke and Daman irrigation districts in the Zhangye Oasis, the total water losses from irrigation canals due to evaporation were approximately 23.9 × 105 m3 and 36.6 × 105 m3, or 3.2% and 4.8% of the total amount of irrigation water, respectively. Results of the study are not only important for improving the irrigation water use efficiency, but also are beneficial to develop sustainable water resource management in the midstream areas of the HRB.

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