Assessing spatial and temporal variability in water consumption and the maintainability oasis maximum area in an oasis region of Northwestern China

doi:10.3724/SP.J.1226.2020.00217

Sciences in Cold and Arid Regions ›› 2020, Vol. 12 ›› Issue (4): 217–233.doi: 10.3724/SP.J.1226.2020.00217

• • 上一篇

收稿日期:2020-02-15 接受日期:2020-05-09 出版日期:2020-08-31 发布日期:2020-09-04

Assessing spatial and temporal variability in water consumption and the maintainability oasis maximum area in an oasis region of Northwestern China

XueXiang Chang¹(),WenZhi Zhao¹(),XueLi Chang²,Bing Liu¹,Jun Du¹

^1.Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Linze Inland River Basin Research Station, Key Laboratory of Ecohydrology of Inland River Basin, CAS, Lanzhou, Gansu 730000, China
^2.School of Natural Resources and Environmental Engineering, Ludong University, Yantai, Shandong 264025, China

Received:2020-02-15 Accepted:2020-05-09 Online:2020-08-31 Published:2020-09-04
Contact: XueXiang Chang,WenZhi Zhao E-mail:chxx@lzb.ac.cn;zhaowzh@lzb.ac.cn

摘要/Abstract

Abstract:

Water consumption is a key role in improving the efficiency and sustainability of water management in arid environments. In this study, we explored an approach based on meta-analysis, MODIS NDVI products, land-use spatial distribution, and soil water physical parameters to gain insight into long-term and large scale distribution of land use and water consumption, maintain maximum Zhangye Oasis area according to Heihe River runoff, and suitable water resource management in Zhangye Oasis. This approach was initiated in order to improve the efficiency of irrigation and water resource management in arid regions Results showed that Heihe River runoff can maintain a maximum Zhangye Oasis area of 22.49×10⁴ hm². During the 2000-2016 growing seasons, actual oasis water consumption ranged from 11.35×10⁸ m³ to 13.73×10⁸ m³, with a mean of (12.89 ± 0.60)×10⁸ m³; if maintaining agricultural production and oasis stability was chosen, oasis water consumption ranged from 10.24×10⁸ m³to 12.37×10⁸ m³, with a mean of (11.62 ± 0.53)×10⁸ m³. From the perspective of water resources management and ecosystem stability, it is necessary to reduce the area of Zhangye Oasis or choose the minimum water consumption method to manage the oasis, to ease the pressure of water shortage and maintain stable and sustainable development of the Zhangye Oasis. These results can provide future practical guidance for water resource management of coordinated development of the economy and the environment in an arid area.

Key words: meta-analysis, water consumption, land-use, spatial and temporal distribution, runoff, Northwestern China

. [J]. Sciences in Cold and Arid Regions, 2020, 12(4): 217–233.

XueXiang Chang,WenZhi Zhao,XueLi Chang,Bing Liu,Jun Du. Assessing spatial and temporal variability in water consumption and the maintainability oasis maximum area in an oasis region of Northwestern China[J]. Sciences in Cold and Arid Regions, 2020, 12(4): 217–233.

图/表 12

Type	Year Level (mm)	2000	2001	2002	2003	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016
Minimum water consumption	< 218	5.47	7.84	4.72	4.73	4.74	6.66	5.99	5.52	5.37	5.30	5.41	5.08	4.14	3.74	5.81	3.61	4.05
	219-358	10.04	13.94	10.20	10.71	9.78	10.33	9.96	9.06	9.24	9.27	10.53	14.75	7.90	7.29	10.58	6.70	8.35
	359-471	13.32	16.58	14.81	15.61	14.45	14.18	14.31	14.27	12.83	14.23	17.81	21.13	13.59	13.31	17.39	11.87	16.83
	472-569	17.10	19.13	20.97	19.47	20.25	18.89	20.18	19.93	18.70	20.22	23.08	21.72	21.98	24.04	22.61	22.02	25.39
	570-655	16.57	18.15	21.15	21.27	22.97	19.83	22.70	21.29	23.83	24.11	23.13	22.72	25.87	29.97	23.35	28.86	27.21
	656-734	18.82	15.47	17.87	16.97	18.26	18.46	18.30	17.89	19.24	17.92	15.29	11.25	20.70	17.77	15.43	21.96	15.35
	735-820	15.55	7.99	9.08	9.65	8.16	10.27	7.63	9.53	9.04	7.89	4.08	2.42	4.94	3.39	4.10	4.26	2.27
	> 821	3.13	0.90	1.21	1.57	1.37	1.38	0.92	2.51	1.74	1.08	0.68	0.92	0.87	0.49	0.73	0.72	0.54
	219-820	91.41	91.26	94.07	93.69	93.89	91.96	93.08	91.97	92.88	93.63	93.90	94.00	94.99	95.77	93.46	95.66	95.41
Optimum water consumption	< 218	4.78	7.04	4.18	4.18	4.20	5.98	5.33	4.91	4.83	4.78	4.84	4.45	3.71	3.39	5.17	3.27	3.67
	219-358	9.10	12.54	9.01	9.45	8.51	9.27	8.79	7.95	8.17	8.12	9.01	11.94	6.86	6.25	9.07	5.77	7.03
	359-471	11.25	14.32	12.46	13.34	12.15	12.14	12.14	11.90	10.95	11.58	14.61	19.62	10.86	10.75	14.54	9.49	13.08
	472-569	15.17	16.77	17.60	16.51	16.65	15.45	16.38	16.51	14.41	16.58	20.07	18.35	17.59	18.04	19.33	16.35	21.31
	570-655	14.41	17.09	19.07	18.60	20.69	17.64	20.29	18.88	20.43	21.36	21.67	22.62	22.97	26.91	21.89	25.44	26.12
	656-734	17.42	17.28	20.10	19.78	21.74	20.00	21.52	20.41	22.78	21.99	20.46	16.83	25.23	25.38	20.57	27.64	21.48
	735-820	19.50	12.18	14.18	14.12	12.82	15.55	13.27	14.44	15.04	13.29	8.14	4.95	11.37	8.26	8.18	10.43	6.33
	> 821	8.37	2.78	3.39	4.02	3.25	3.96	2.27	5.01	3.39	2.29	1.19	1.24	1.41	1.03	1.23	1.61	0.98
	359-820	77.75	77.64	83.41	82.35	84.05	80.79	83.61	82.14	83.61	84.82	84.95	82.37	88.02	89.33	84.52	89.35	88.32
Maximum water consumption	< 218	4.32	6.29	3.80	3.81	3.82	5.58	4.95	4.50	4.39	4.35	4.45	4.00	3.40	3.13	4.83	3.01	3.37
	219-358	8.11	11.52	7.92	8.30	7.44	8.22	7.83	7.04	7.32	7.28	7.83	9.84	6.05	5.38	7.85	5.04	6.10
	359-471	10.04	12.75	10.88	11.70	10.76	10.82	10.58	10.20	9.75	10.01	12.69	18.28	9.22	9.05	12.52	8.10	10.89
	472-569	13.22	15.24	15.45	14.82	14.26	13.55	13.85	14.17	12.25	14.04	17.70	16.70	14.54	14.56	17.13	12.94	17.70
	570-655	13.39	15.65	16.85	15.92	17.84	15.34	17.56	16.94	16.29	18.09	18.95	19.50	19.34	21.91	18.87	20.77	23.11
	656-734	14.63	16.12	18.80	19.20	20.99	18.45	20.71	19.06	21.93	21.38	21.09	19.70	23.94	26.94	21.44	26.85	23.80
	735-820	19.57	15.42	18.15	17.33	17.48	18.46	18.33	18.01	19.87	18.64	14.37	9.86	19.60	16.45	14.33	18.94	12.77
	> 821	16.72	7.03	8.15	8.93	7.40	9.59	6.21	10.07	8.19	6.20	2.92	2.12	3.90	2.58	3.02	4.35	2.27
	359-820	70.85	75.17	80.13	78.97	81.34	76.62	81.01	78.39	80.10	82.17	84.79	84.04	86.64	88.91	84.30	87.60	88.26

参考文献 0

	Allen RG, 2000. Using the FAO-56 dual crop coefficient method over an irrigated region as part of an evapotranspiration intercomparison study. Journal of Hydrology, 229: 27-41. DOI: 10.1016/S0022-1694(99)00194-8. doi: 10.1016/S0022-1694(99)00194-8
	Bai E, Li S, Xu W, et al., 2013. A meta-analysis of experimental warming effects on terrestrial nitrogen pools and dynamics. New Phytologist, 199: 441-451. DOI: 10.1111/nph. 12252. doi: 10.1111/nph. 12252
	Campos I, Neale CMU, Suyker AE, et al., 2017. Reflectance-based crop coefficients REDUX: For operational evapotranspiration estimates in the age of high producing hybrid varieties. Agricultural Water Management, 187: 140-153. DOI: 10.1016/j.agwat.2017.03.022. doi: 10.1016/j.agwat.2017.03.022
	Chang X, Liu B, Liu H, et al., 2015a. Water accounting for conjunctive groundwater and surface water irrigation sources: A case study in the middle Heihe River Basin of arid northwestern China. Sciences in Cold and Arid Regions, 7(6): 0687-0701. DOI: 10.3724/SP.J.1226.2015.00687. doi: 10.3724/SP.J.1226.2015.00687
	Chang X, Zhao W, Zeng F, 2015b. Crop evapotranspiration-based irrigation management during the growing season in the arid region of northwestern China. Environmental Monitoring and Assessment, 187: 699.
	Chen YN, Ye ZX, Shen YJ, 2011. Desiccation of the Tarim River, Xinjiang, China, and mitigation strategy. Quaternary International, 244 (2): 264-271. DOI: 10.1016/j.quaint.2011. 01.039. doi: 10.1016/j.quaint.2011. 01.039
	Cheng G, Li X, Zhao W, et al., 2014. Integrated study of the water-ecosystem-economy in the Heihe River Basin. National Science Review, 1(3): 413-428. DOI: 10.1093/nsr/nwu017. doi: 10.1093/nsr/nwu017
	Cruz-Blanco M, Gavilán P, Santos C, et al., 2014. Assessment of reference evapotranspiration using remote sensing and forecasting tools under semi-arid conditions. International Journal of Applied Earth Observation and Geoinformation, 33: 280-289. DOI: 10.1016/j.jag.2014.06.008. doi: 10.1016/j.jag.2014.06.008
	Goovaerts P, 1997. Geostatistics for Natural Resources Evaluation. Oxford University Press, New York, pp. 259-368.
	Gurevitch J, Morrow LL, Wallace A, et al., 1992. A meta-analysis of competition in field experiments. American Naturalist, 140: 539-572. DOI: 10.1086/285428. doi: 10.1086/285428
	Hafeez M, Khan S, 2005. Remote sensing application for estimation of irrigation water consumption in liuyuankou irrigation system in China. In: Proceedings 16th Congress of the Modelling and Simulation Society of Australia and New Zealand, pp. 12-15.
	Han DL, 1999. The progress of research on oasis in China. Scientia Geographica Sinica, 19(4): 313-319.
	Hedges LV, Gurevitch J, Curtis PS, 1999. The meta-analysis of response ratios in experimental ecology. Ecology, 80: 1150-1156. DOI: 10.1890/0012-9658. doi: 10.1890/0012-9658
	Huang Z, Shen W, 2000. Water Relationship and Drought Tolerance of Plants in Arid Areas. Beijing: China Environment Press.
	Jia B, Ren Y, Yang J, 2001. Theoretical thinking on the ecological construction of oasis landscape. Journal of Arid Land Resources and Environment, 15(1): 56-63.
	Ko J, Piccinni G, 2009. Corn yield responses under crop evapotranspiration-based irrigation management. Agricultural Water Management, 96: 799-808. DOI: 10.1016/j.agwat.2008.10.010. doi: 10.1016/j.agwat.2008.10.010
	Li X, Yang K, Zhou Y, 2016. Progress in the study of oasis-desert interactions. Agricultural Forest Meteorology, 230-231: 1-7. DOI: 10.1016/j.agrformet.2016.08.022. doi: 10.1016/j.agrformet.2016.08.022
	Li Y, Huang C, Hou J, et al., 2017. Mapping daily evapotranspiration based on spatiotemporal fusion of ASTER and MODIS images over irrigated agricultural areas in the Heihe River Basin, Northwest China. Agricultural Forest Meteorology, 244-245: 82-97. DOI: 10.1016/j.agrformet.2017. 05.023. doi: 10.1016/j.agrformet.2017. 05.023
	Ling HB, Xu HL, Fu JY, 2013. High- and low-flow variations in annual runoff and their response to climate change in the headstreams of the Tarim River, Xinjiang, China. Hydrological Processes, 27: 975-988. DOI: 10.1002/hyp.9274. doi: 10.1002/hyp.9274
	Liu G, 1996. Standard Methods for Observation and Analysis in Chinese Ecosystem Research Network: Soil Physical and Chemical Analysis & Description of Soil Profiles. China Standards Press: Beijing, China.
	Oki T, Kanae S, 2006. Global hydrological cycles and world water resources. Science, 313(5790): 1068-1072. DOI: 10.1126/science.1128845. doi: 10.1126/science.1128845
	Payero JO, Tarkalson DD, Irmak S, et al., 2008. Effect of irrigation amounts applied with subsurface drip irrigation on corn evapotranspiration, yield, water use efficiency, and dry matter production in a semiarid climate. Agricultural Water Management, 95: 895-908. DOI: 10.1016/j.agwat. 2008.02.015. doi: 10.1016/j.agwat. 2008.02.015
	Rana G, Katerji N, 2000. Measurement and estimation of actual evapotranspiration in the field under Mediterranean climate: a review. European Journal of Agronomy, 13: 125-153. DOI: 10.1016/S1161-0301(00)00070-8. doi: 10.1016/S1161-0301(00)00070-8
	Su P, Du M, Zhao A, et al., 2002. Study on water requirement law of some crops and different planting mode in oasis. Agricultural Research in the Arid Areas, 20(2): 79-85.
	Tang QH, Peterson S, Cuenca RH, et al., 2009. Satellite-based near-real-time estimation of irrigated crop water consumption. Journal of Geophysical Research, 114: D05114. DOI: 10.1029/2008JD010854. doi: 10.1029/2008JD010854
	Toureiro C, Serralheiro R, Shahidian S, et al., 2017. Irrigation management with remote sensing: Evaluating irrigation requirement for maize under Mediterranean climate condition. Agricultural Water Management, 184: 211-220. DOI: 10.1016/j.agwat.2016.02.010. doi: 10.1016/j.agwat.2016.02.010
	Velpuri NM, Senay GB, Singh RK, et al., 2013. A comprehensive evaluation of two MODIS evapotranspiration products over the conterminous United States: Using point and gridded FLUXNET and water balance ET. Remote Sensing of Environment, 139: 35-49. DOI: 10.1016/j.rse.2013.07.013. doi: 10.1016/j.rse.2013.07.013
	Wang J, Chang X, 2013. Change trend of the groundwater depth in Linze county in the middle reaches of Heihe River basin in recent 30 years. Arid Zone Research, 30(4): 594-602.
	Wang X, Taub DR, 2010. Interactive effects of elevated carbon dioxide and environmental stresses on root mass fraction in plants: a meta-analytical synthesis using pairwise techniques. Oecologia, 163(1): 1-11. DOI: 10.1007/s00442-010-1572-x. doi: 10.1007/s00442-010-1572-x
	Zhang M, Wang S, Fu B, et al., 2018. Ecological effects and potential risks of the water diversion project in the Heihe River Basin. Science of the Total Environment, 619-620: 794-803. DOI: 10.1016/j.scitotenv.2017.11.037. doi: 10.1016/j.scitotenv.2017.11.037
	Zhao W, Chang X, Chang X, et al., 2018. Estimating water consumption based on meta-analysis and MODIS data for an oasis region in northwestern China. Agricultural Water Management, 208: 478-489. DOI: 10.1016/j.agwat.2018. 06.035. doi: 10.1016/j.agwat.2018. 06.035
	Zhao W, Liu B, Zhang Z, 2010. Water requirements of maize in the middle Heihe River basin, China. Agricultural Water Management, 97: 215-223. DOI: 10.1016/j.agwat.2009. 09.011. doi: 10.1016/j.agwat.2009. 09.011

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Type	Maximum (×10⁴ hm²)	Minimum (×10⁴ hm²)	Mean (×10⁴ hm²)	SD (×10⁴ hm²)	Variable coefficient
Maize	19.62	13.19	17.05	2.17	12.70
Wheat	3.72	0.55	1.53	0.93	60.74
Vegetables + fruit	5.09	1.27	2.55	1.18	46.14
Shelterbelts	0.14	0.09	0.12	0.02	19.74
Shrub land	0.14	0.12	0.13	0.01	5.90

Assessing spatial and temporal variability in water consumption and the maintainability oasis maximum area in an oasis region of Northwestern China

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Type	Mean (×10⁸ m³)	SD (×10⁸ m³)	Maximum (×10⁸ m³)	Minimum (×10⁸ m³)
Minimum water consumption	11.62	0.53	12.37	10.24
Optimum water consumption	12.27	0.57	13.07	10.81
Maximum water consumption	12.89	0.60	13.73	11.35