The water resources carrying capacity (WRCC) is a complex and comprehensive system that is jointly influenced by water resources, society, the economy and the ecological environment. Previous WRCC studies have primarily focused on estimating the overall level of regional WRCC. Few studies have explored the interactions among the various elements in the WRCC system and their influence on the WRCC evolution. Therefore, the purpose of this paper is, on the one hand, to explore the dynamic interactive relationships within the WRCC system from the perspectives of water resources, society, the economy and the ecological environment using a coupling coordination degree model and a panel vector autoregressive (PVAR) model, and on the other hand, to determine the evolutionary driving mechanism of the WRCC using the geographically and temporally weighted regression (GTWR) model to improve the regional WRCC. Taking 21 cities in Guangdong Province as an example, the results show that (1) the coupling coordination degree among the four WRCC subsystems in Guangdong Province shows an overall upward trend from 2009 to 2020, and the coordination between water resources utilization and other subsystems needs to be further strengthened. (2) The economic subsystem is the core of the WRCC system with reinforcing effects on both water resources and social subsystems but significant inhibitory effects on the ecological environment subsystem. Notably, the development of the ecological environment plays a crucial role in promoting social and economic development. (3) From 2009 to 2020, the development of the WRCC in Guangdong Province is initially driven by social and economic development, followed by economic development and ecological environmental protection, and then mainly by ecological environmental protection, which gradually becomes the primary driving force. This study provides a new entry point for studying the regional WRCC and formulating targeted measures for enhancing the regional WRCC. 

Coupling coordination and driving mechanisms of water resources carrying capacity under the dynamic interaction of the water-social-economic-ecological environment system.

Assessment of agricultural water resources carrying capacity and analysis of its spatio-temporal variation in Henan Province, China

In this paper, a diffusive vegetation-water model under Neumann boundary conditions is considered. Firstly, the stability and the diffusion-induced Turing instability are studied. Then, some a priori estimates of positive steady-state solutions are obtained by the maximum principle. Moreover, the bifurcations at both simple and double eigenvalues are investigated in detail. Finally, numerical simulations are shown to support and supplement theoretical analysis results. In particular, the evolution processes of vegetation patterns are depicted under different parameters. 

Pattern formation and qualitative analysis for a vegetation-water model with diffusion

Vegetation patterns can reflect vegetation's spatial distribution in space and time. The saturated water absorption effect between the soil–water and vegetation plays a crucial role in the vegetation patterns in semi-arid regions. Moreover, vegetation can absorb water through the nonlocal interaction of roots. In this paper, we consider how cross-diffusion and nonlocal delay interactions affect vegetation growth. The conditions under which the vegetation-water model generates the Turing pattern are obtained by mathematical analysis. At the same time, the multiple scales method is applied to obtain the amplitude equations at the critical value of Turing bifurcation, which helps us to derive parameter space more specifically where specific patterns such as strips, hexagons, and the mixture of strip and hexagons will emerge. Various spatial distributions of vegetation in semi-arid areas are qualitatively depicted by numerical simulations. The results show that the nonlocal delay effect enhances vegetation biomass. Therefore, we can take measures to increase the intensity of the nonlocal delay effect to increase vegetation density, which theoretically provides new guidance for vegetation protection and desertification control. 

Pattern formation of a spatial vegetation system with cross-diffusion and nonlocal delay

Remote sensing evaluation of Chinese mainland's comprehensive natural resources carrying capacity and its spatial-temporal variation characteristics

The optimal allocation and the evaluation of water resources carrying capacity in Shendong mining area

The direct discharge of large quantities of selenium-containing wastewater into water bodies can have a negative impact on ecology and human health. The adsorption method is considered to be an effective way to remove selenium from aqueous solutions due to its wide range of adaptability, good treatment effect, recyclability and reusability of the adsorbent. Among the different types of adsorbents, iron-based adsorbents and surface modified materials account for the majority, due to the high affinity of iron oxides for selenium oxygen anions. After modification and modification of MOFs, the researchers obtained composites with significantly higher and improved adsorption capacity for selenium oxide anions, reaching 325 mg/g for Se(IV), while regeneration and reusability of the adsorbent materials need to be considered to achieve indirect continuity while saving costs. Various functional groups on polymer-based adsorbents can provide more adsorption sites, exhibiting high adsorption capacity and high adsorption efficiency (99%) for selenoxylate anions, and resistance to interference and applicability in real water samples needs to be taken into account. Therefore, the objective of this review study is to encourage researchers to learn from the strengths and weaknesses of various adsorbent materials, to identify gaps in current research and to develop innovative and environmentally friendly adsorbent materials with low cost benefits for the adsorption, separation and recovery of selenium from selenium-containing wastewater as well as water bodies, which are essential for the environment and for realising the value of selenium itself. 

Selenium-contaminated water: Recent advances in material function and adsorption performance

Pattern formation of a spatial vegetation system with root hydrotropism

In recent years, with the abnormal global climate change, the problem of desertification has become more and more serious. The vegetation pattern is accompanied by desertification, and thus, the study of the vegetation pattern is helpful to better understand the causes of desertification. In this work, we reveal the influences of hydrotropism on the vegetation pattern based on a vegetation–water system in the form of reaction–diffusion equations. Parameter ranges for the steady-state mode obtained by analyzing the system show the dynamic behavior near the bifurcation point. Furthermore, we found that vegetation hydrotropism not only induces spatial pattern generation but also promotes the growth of vegetation itself in this area. Therefore, through the study of vegetation patterns, we can take corresponding preventive measures to effectively prevent land desertification and improve the stability of the ecosystem in the region.

/pdf/rich-dynamics-of-a-vegetation-water-system-with-the-16ongyp7.pdf

Rich dynamics of a vegetation–water system with the hydrotropism effect

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The optimal allocation and the evaluation of water resources carrying capacity in Shendong mining area

Selenium-contaminated water: Recent advances in material function and adsorption performance

Pattern formation of a spatial vegetation system with root hydrotropism

Rich dynamics of a vegetation–water system with the hydrotropism effect