Your search found 4 records
1 Deng, X. P.; Shan, L.; Zhang, H.; Turner, N. C. 2006. Improving agricultural water use efficiency in arid and semiarid areas of China. Agricultural Water Management, 80(1-3):23-40.
Irrigated farming ; Water use efficiency ; Water conservation ; Water deficit ; Water stress ; Arid zones ; Water harvesting ; Terraces ; Mulching ; Fertilization / China / Yellow River / Ningxia / Inner Mongolia / Loess Plateau
(Location: IWMI-HQ Call no: PER Record No: H038418)
2 Nickum, J. E. 2004. Water and regional development in the Yellow River Basin. In Biswas, A. K.; Unver, O.; Tortajada, C. (Eds.). Water as a focus for regional development. New Delhi, India: Oxford University Press (OUP) pp.114-136.
Water resources development ; Regional development ; River basin management ; Siltation ; Water allocation / China / Yellow River Basin / Inner Mongolia / China Plain
(Location: IWMI HQ Call no: 333.91 G000 BIS Record No: H041113)
3 Zhang, R.; Wu, J.; Yang, Y.; Peng, X.; Li, C.; Zhao, Q. 2022. A method to determine optimum ecological groundwater table depth in semi-arid areas. Ecological Indicators, 139:108915. [doi: https://doi.org/10.1016/j.ecolind.2022.108915]
Groundwater table ; Water depth ; Indicators ; Ecological factors ; Semiarid zones ; Models ; Normalized difference vegetation index ; Uncertainty ; Remote sensing ; Soil water content ; Populus / China / Inner Mongolia / Hetao Irrigation District
(Location: IWMI HQ Call no: e-copy only Record No: H051128)
https://www.sciencedirect.com/science/article/pii/S1470160X22003867/pdfft?md5=99831de53fd285ba271967a2781724db&pid=1-s2.0-S1470160X22003867-main.pdf
https://vlibrary.iwmi.org/pdf/H051128.pdf
https://vlibrary.iwmi.org/pdf/H051128.pdf
(9.24 MB) (9.24 MB)
Groundwater depth (GWD) is an important factor to sustain the ecological integrity of some ecosystems and is often used as an indicator of environmental quality in dry areas. Single-scale data gained from quadrat surveys is always used to establish a relationship with GWD to determine the optimum GWD. However, the randomness and uncertainty in single-scale data may result in insufficient reliability of results. To overcome this shortage, multiple growth indicators of poplar trees (Populus euphratica) in Hetao Irrigation District, including average crown width (ACW), tree height, diameter at breast height (DBH), mean ring spacing (MRC), and normalized difference vegetation index (NDVI), were acquired by field sampling and remote sensing. These indicators were used to establish relationships with the GWD by considering spatial and temporal variation to identify the optimum GWD. The cloud model was introduced and its three digital features derived from optimum groundwater depth data (expectation: Ex, entropy: En, and super-entropy: He) were calculated to construct the reverse cloud models W (Ex, En, He) for describing ecological GWD to determine the optimum ecological GWD in semi-arid areas. The results show that the optimum GWD range was 1.60–2.20 m. The cloud models obtained on spatial and temporal scales were WS (2.01, 0.07, 0.04) and WT (1.78, 0.10, 0.02), respectively. The resulting comprehensive cloud model WC (1.87, 0.14, 0.03) exhibited better variability, so 1.87 m was taken as the optimum GWD for poplars. This method can determine the regional ecological groundwater level more accurately and effectively, and provide evaluation indicators for the management of regional groundwater.
4 Wen, Y.; Wan, H.; Shang, S.; Rahman, K. U. 2022. A monthly distributed agro-hydrological model for irrigation district in arid region with shallow groundwater table. Journal of Hydrology, 609:127746. [doi: https://doi.org/10.1016/j.jhydrol.2022.127746]
Irrigation water ; Groundwater table ; Hydrological modelling ; Arid zones ; Evapotranspiration ; Drainage systems ; Irrigation canals ; Water balance ; Precipitation ; Soil water ; Groundwater flow ; Irrigated land ; Salinity ; Farmland ; Soil texture ; Land use mapping ; Remote sensing / China / Inner Mongolia / Hetao Irrigation District / Yellow River
(Location: IWMI HQ Call no: e-copy only Record No: H051126)
(14.10 MB)
Agro-hydrological processes in arid irrigation districts mainly include precipitation, water diversion, irrigation, drainage, evapotranspiration (ET), and soil water and groundwater flow, which interact with each other and are controlled by complex natural and anthropogenic drivers. To better understand the agro-hydrological processes in arid irrigation districts with shallow groundwater table, we developed a novel monthly distributed agro-hydrological model for irrigation districts (DAHMID) based on the concepts of canal command area (CCA) and sub-drainage command area (SDCA). The DAHMID model is driven by meteorology, irrigation, and evapotranspiration (ET) estimated by remote sensing-based ET model, and considers soil water and groundwater balances in both irrigated and non-irrigated lands and interior drainage between them. The model was applied to Hetao Irrigation District (HID), the largest irrigation district in arid region of China with a total irrigated area of 0.68 million ha. The DAHMID model was calibrated with groundwater table depth measurements in 13 CCAs of HID from 2008 to 2010, and validated from 2012 to 2013. Results depicted that the root mean square errors (RMSEs), normalized RMSEs (NRMSEs), Nash-Sutcliffe efficiency coefficients (NSEs), and coefficients of determination (r2) of groundwater table depth in both irrigated and non-irrigated lands for all CCAs were in the ranges of 0.19–0.34 m, 0.10–0.25, 0.30–0.82, and 0.68–0.91, respectively. The simulation results from 2008 to 2014 indicated that interior drainage from irrigated land to non-irrigated land is an important approach of drainage in HID, which is about 14.3% of total irrigation water diversion and 34.9% more than the drainage through ditches. The interior drainage process is basically similar to irrigation and ditch drainage processes, all reaching their peaks in May and October. ET is the major water consumption in HID, which is about 95% of total irrigation water diversion and precipitation in average. The net capillary rise of irrigated land is significantly less than that of non-irrigated land due to the impact of irrigation infiltration. The DAHMID model has less parameters and requires less inputs, and can be better applied to continuous simulation of agro-hydrological processes in irrigation districts in medium and long periods with satisfactory simulation accuracy.
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