Study on water resources carrying capacity in Zhuanglang River Basin

Abstract

With the rapid development of China’s social economy, the phenomenon of unbalanced regional economic development is increasingly obvious. The shortage of water resources in northwest China is an important constraint to local development. The study on the water resources carrying capacity of the Zhuanglang River Basin plays an important role in the development of local economy; thus, we evaluate the water resources situation of Zhuanglang River Basin by using hydrology-related calculation method, combining with field investigation, visiting relevant departments, and referring to relevant data. Meanwhile, the water resources carrying capacity of 3 counties and 12 townships in the Zhuanglang River Basin in the current year are studied and analyzed based on methods such as fuzzy comprehensive evaluation model and quantitative calculation. Results indicate that the carrying capacity of water resources in Zhuanglang river basin can mostly meet the needs of township, but it is necessary to further optimize the water resources carrying capacity of the Zhuanglang River Basin from the four systems of water resources, society, economy, and ecology in the future. Besides, the results of quantitative calculation show that the maximum economic scale that water resources can withstand in most areas of the Zhuanglang River Basin is the overall well-off level, that is, the per capita domestic water is 80L/(d· person), and the per capita GDP is 10000 yuan/person. But there is still a certain gap to achieve the level, when the people are well-off in an all-round way, the two indexes are correspondently raised to 120L/(d· person), and the per capita GDP is 30,000 yuan/person.

Characteristics and Attribution of Spatiotemporal Changes in Qilian Mountains' Runoff Over the Past Six Decades

“…(2020), Zhang et al. (2014), J. F. Wang (2019), Xu (2019), as well as from water resource bulletins from Gansu and Qinghai provinces.…”

“…(2) Superscript letters affixed to river basin names (i.e., a, b, c, and d) represent rainfall dominant, mixed replenishment, meltwater dominant, and groundwater dominant rivers, respectively. (3) References: SY (Z. Li et al., 2016a), ZL (Xu, 2019), DT (Wang and Hu, 2011), HS (Wang and Hu, 2011), QH (Cui & Li, 2015; Zhang et al., 2014), HH (Xiao, 2000), BD (Z. Li et al., 2016b), BYGL (Yang and Zhang, 1963), SL (H. Li et al., 2019), DH (Ding et al., 2001), HET (Yang and Zhang, 1963), YK (Yang and Zhang, 1963), TTL (Yang and Zhang, 1963).…”

“…A decreasing trend was only observed in a small section of the QM's eastern region (Figure 6b). (Xu, 2019), DT (Wang and Hu, 2011), HS (Wang and Hu, 2011), QH (Cui & Li, 2015;Zhang et al, 2014), HH (Xiao, 2000), BD (Z. Li et al, 2016b), BYGL (Yang and Zhang, 1963), SL (H. , DH (Ding et al, 2001), HET (Yang and Zhang, 1963), YK (Yang and Zhang, 1963), TTL (Yang and Zhang, 1963).…”

Water resource carrying capacity and obstacle factors in the Yellow River basin based on the RBF neural network model

“…From the perspective of time, most scholars choose the current year or the past few years to evaluate regional WRCC (Xu et al 2022). Alternatively, future years should be chosen to make reasonable scientific forecasts of regional WRCC.…”

“…Some studies have examined representative regional and provincial WRCC in the YRB, such as irrigation areas (Cui et al 2022), the region's nine provinces (Wang et al 2021b), and the Inner Mongolia Autonomous Region (Hu et al 2022). In terms of time selection, most studies have investigated regional WRCC in the current year (Xu et al 2022) or predicted future WRCC (Yan and Xu 2022). In terms of method selection and model construction, most research has used a comprehensive evaluation model for regional WRCC analysis (Hu et al 2020) without fully considering the limitations of indicator weight determination.…”