Assessment of the Water Resources Carrying Capacity in the Great Dunhuang Region

doi:10.5814/j.issn.1674-764x.2022.06.005

Abstract

Abstract:

Water resources carrying capacity (WRCC) is an important index for assessing the coordinated development relationship between population and water resources. The quantitative evaluation of WRCC can provide an important basis for water resource regulation and sustainable economic and social development. Based on the statistical data of cities and counties in the Great Dunhuang Region (GDR), and taking counties as the basic units, this study quantitatively analyzed the WRCC and carrying status of the GDR under different water inflow conditions and policy constraints from 2010 to 2017. The study revealed three main trends. (1) From 2010 to 2017, the WRCC of the GDR increased year by year, from 343700, 315900 and 291100 people to 458700, 415400 and 375600 people in normal, dry and extremely dry years, respectively. (2) Under policy constraints, the WRCC of the GDR increased year by year from 309400 people in 2010 to 412400 people in 2017. Based on future estimates, the WRCC of the GDR are expected to be 326600 people in 2020 and 341200 people in 2030. (3) From 2010 to 2017, the water resources carrying index of the GDR was decreasing, and it decreased from 1.05, 1.14 and 1.24 to 0.80, 0.88 and 0.97 in normal, dry and extremely dry years, respectively. The carrying status changed from critical overload to balanced. Although the WRCC and the carrying status of the GDR had significantly improved by 2017, the overall upper limit of the carrying capacity is not high. Therefore, efforts should be made to improve the utilization efficiency of water resources in order to maintain the sustainable utilization of water resources in the GDR.

Key words: water resources, carrying capacity, carrying status, the Great Dunhuang Region, relationship between population and water resources

LANG Tingting, YANG Yanzhao, ZHANG Chao, LIU Ying. Assessment of the Water Resources Carrying Capacity in the Great Dunhuang Region[J]. Journal of Resources and Ecology, 2022, 13(6): 999-1008.

Figures/Tables 12

References 20

[1]	Bavink B, Hatfield H S. 1933. The anatomy of modern science: An introduction to the scientific philosophy of to-day. Nature, 131(3316): 707-708. DOI URL
[2]	Cheng Q P, Zhong F L, Zuo X A, et al. 2020. Evaluation of water resources carrying capacity of Heihe River Basin combining beautiful China with SDGs. Journal of Desert Research, 40(1): 204-214. (in Chinese)
[3]	Feng Z M, Yang Y Z, You Z. 2014. Research on the water resources restriction on population distribution in China. Journal of Natural Resources, 29(10): 1637-1648. (in Chinese)
[4]	Feng Z M, Yang Y Z, Zhang J. 2008. The land carrying capacity of China based on man-grain relationship. Journal of Natural Resources, 23(5): 865-875. (in Chinese)
[5]	Hadwen S, Palmer L J. 1922. Reindeer in Alaska. Washington DC, USA:U.S. Department of Agriculture Bulletin: 1-70.
[6]	Hui Y H, Jiang X H, Huang Q, et al. 2001. On system dynamic simulation model of water resources bearing capacity in duality mode. Geographical Research, 20(2): 191-198. (in Chinese) DOI
[7]	Jia S F, Zhou C Q, Yan H Y, et al. 2004. Estimation of usable water resources and carrying capacity in Northwest China. Advances in Water Science, 15(6): 801-807. (in Chinese)
[8]	Jiao W J, Min Q W, Li W H, et al. 2015. Measuring water ecological carrying capacity with the ecosystem-service-based ecological footprint (ESEF) method: Theory, models and application. Chinese Journal of Applied Ecology, 26(4): 1041-1048. (in Chinese)
[9]	Li Y, Yang Y Z, Yan H M, et al. 2018. Research methods of water resources carrying capacity: Progress and prospects. Journal of Resources and Ecology, 9(5): 455-460. DOI
[10]	Liang Y Y, Lv A F. 2019. Risk assessment of water resource security in China. Resources Science, 41(4): 775-789. (in Chinese) DOI
[11]	Liu Y J, Dai L, Zhang J, et al. 2020. Research on monitoring resource carrying capacity: Taking Three-Rivers Region in Tibet as an example. Journal of Natural Resources, 35(7): 1699-1713. (in Chinese) DOI URL
[12]	Ning J, Liu J Y, Shao Q Q, et al. 2014. Multiply scenario simulations of environmental carrying capacity in the western region of China. China Population, Resources and Environment, 24(11): 136-146. (in Chinese)
[13]	Pablo D M, Brook B W, Zetina-Rejón M J, et al. 2004. The carrying capacity of ecosytems. Global Ecology and Biogeography, 13(6): 485-495. DOI URL
[14]	Shi Y F, Qu Y G. 1992. Water resources carrying capacity and its rational utilization in Urumqi River Basin. Beijing, China: Science Press: 1-220. (in Chinese)
[15]	Wang P L, Song X Y, Xu B X, et al. 2020. Evaluation and advancement of water resources carrying capacity of Zhangye Prefecture in Heihe River Basin. Journal of Glaciology and Geocryology, 42(3): 1057-1066. (in Chinese) DOI
[16]	Xiong Y, Yang X B. 2014. Research on the carrying capacity of resources space of city-mountain resorts: A case study of Yuelu Mountain. China Population, Resources and Environment, 24(3): 301-304. (in Chinese)
[17]	Yuan Y, Gan H, Wang Z J, et al. 2006. Discussion on progress and development trend of the research on water resources carrying capacity. Journal of China Institute of Water Resources and Hydropower Research, 4(1): 62-67. (in Chinese)
[18]	Yuan Y. 2006. Study on methodology of assessment for water resources carrying capacity in different zones. Diss., Beijing, China: China Institute of Water Resources and Hydropower. (in Chinese)
[19]	Zhang J Y, He R M, Qi J, et al. 2013. A new perspective on water issues in North China. Advances in Water Science, 24(3): 303-310. (in Chinese)
[20]	Zhu Y X, Xia J, Tan G. 2002. A primary study on the theories and process of water resources carrying capacity. Progress in Geography, 21(2): 180-188. (in Chinese) DOI

City/County	Available water resources				Red lines (limit) of water consumption
City/County	Normal years	Dry years	Extremely dry years		2015	2020	2030
ADS	0.3	0.3		0.3	0.2	0.2	0.2
SB	0.42	0.42		0.42	0.47	0.47	0.47
GZ	5.31	4.57		3.80	4.60	3.54	3.71
DH	3.81	3.54		3.34	3.54	2.75	2.89
The Great Dunhuang Region	9.84	8.83		7.86	8.81	6.96	7.27

City/County	Available water resources				Red lines (limit) of water consumption
City/County	Normal years	Dry years	Extremely dry years		2015	2020	2030
ADS	0.3	0.3		0.3	0.2	0.2	0.2
SB	0.42	0.42		0.42	0.47	0.47	0.47
GZ	5.31	4.57		3.80	4.60	3.54	3.71
DH	3.81	3.54		3.34	3.54	2.75	2.89
The Great Dunhuang Region	9.84	8.83		7.86	8.81	6.96	7.27

Carrying status	Surplus		Balanced		Overload
Carrying status	Rich and surplus	Surplus	Balanced	Critical overload	Overload	Severe overload
Carrying index	<0.5	0.5-0.75	0.75-1	1-1.25	1.25-1.5	>1.5

Carrying status	Surplus		Balanced		Overload
Carrying status	Rich and surplus	Surplus	Balanced	Critical overload	Overload	Severe overload
Carrying index	<0.5	0.5-0.75	0.75-1	1-1.25	1.25-1.5	>1.5

City/ County	Per capita comprehensive water consumption (m³)	Per capita domestic water consumption (L d^-1)	Per 10000 Yuan GDP water consumption (m³)
AKS	1553	116	191
SB	2266	138	252
GZ	2760	141	570
DH	1669	124	315
GDR	2137	134	399