Evaluation and Optimization of Agricultural Water Resources Carrying Capacity in Haihe River Basin, China

Abstract

The shortage and uneven spatial and distribution of agricultural water resources has greatly restricted the sustainable development of regional society and economy. In this study, an improved five-element connection number set pair analysis model, which subdivides the same–different–opposite connection number in the set pair analysis theory to enhance the integrity and effectiveness of the original ternary connection numbers is constructed to evaluate the agricultural water resources carrying capacity (AWRCC) in the Haihe River Basin. Based on this evaluation result, an optimization model (AROL model) is proposed to optimize the effective irrigation area and groundwater exploitation to achieve a “better level” of AWRCC. The evaluation result shows that the current AWRCC of the Haihe River Basin is relatively low. The AWRCC in Shanxi, Inner Mongolia, and Liaoning is Level III and the current agricultural water resources are not overloaded but have little carrying potential. The AWRCC of Beijing, Tianjin, Hebei, Henan, and Shandong are rated IV and overloaded, among which Shandong has the lowest comprehensive score and the most serious overload. The optimization result shows that the extraction and conservation of groundwater in most areas of the Haihe River Basin is unbalanced and the effective irrigation area needs to be increased. With different current conditions in different areas, the groundwater exploitation and the effective irrigation area is adjusted correspondingly. Among the areas, the adjustment of groundwater exploitation and the effective irrigation area in Hebei are the most significant.

Assessment of the Irrigation Water Requirement and Water Supply Risk in the Tarim River Basin, Northwest China

“…In view of the current water shortage situation, the establishment of an optimal allocation plan to improve irrigation efficiency and ease the contradiction between supply and requirement should be suggested [46]. Therefore, how to allocate effective water resources scientifically, quantitatively, and sustainably will be the core issue of our future research.…”

Evaluation of Water Resources Carrying Capacity Using Principal Component Analysis: An Empirical Study in Huai’an, Jiangsu, China

“…In addition, they took the Dianchi Lake Basin as an example in their calculation and showed that the artificial control of pollution reduction capabilities has gradually become a non-negligible part of improving the water environment carrying capacity of the basin [12]. Kang et al evaluated agricultural water resources carrying capacity from the perspective of water resources for agricultural development support [13]. Xu and Hu analyzed the relationship between the carrying capacity of water resources and the concept of sustainable development from the perspective of sustainable development.…”

Dynamic evaluation of regional water resources carrying capacity based on set pair analysis and partial connection number

“…At present, the evaluation methods of regional WRCC mainly include: fuzzy comprehensive evaluation method (Liu et al 2019;Mingxia 2020), principal component analysis method (Li & Meng 2017), system dynamics method (Ge et al 2021), grey correlation method (Ge et al 2020) and set pair analysis connection number method (Wang et al 2009;Kang et al 2019;Lele et al 2021). SPA connection number method is widely used because it can deeply analyze and quantitatively express the rich information between evaluation sample data and evaluation grades (Men & Liu 2018), which provides an effective way for evaluation of WRCC and identification of vulnerability factors.…”