Scheme simulation and predictive analysis of water environment carrying capacity in Shanxi Province based on system dynamics and DPSIR model

Wang, Zhiyuan; Fu, Xingtao

doi:10.1016/j.ecolind.2023.110862

Cited by 19 publications

(3 citation statements)

References 58 publications

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“…The ecosystem is under intense pressure due to a dense population and intensive development, resulting in issues such as reduced per capita income, insufficient green space, and lack of public services, resulting in high obstacles posed by the impact layer and in an urgent need for government response. The carbon emission problem is prominent in high-carbon industries, which brings about environmental pollution and ecological damage while bringing about economic growth [29]. Therefore, CO 2 emissions are the main obstacle factor.…”

Section: Main Findingsmentioning

confidence: 99%

“…This model fully reflects the impact of social activities on the ecological environment and can also measure the impact of changes in environmental status indexes. It is comprehensive and inherits the advantages of previous models [29]. Therefore, the DPSIR model, as an effective method to explore the impact of socio-economic development on the ecological environment and the relationship between the two, has been widely used by scholars [4,21].…”

Section: Introductionmentioning

confidence: 99%

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Revealing the Spatial-Temporal Evolution and Obstacles of Ecological Security in the Xiamen-Zhangzhou-Quanzhou Region, China

Zhang,

et al. 2024

Land

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Climate change and human activities have caused various ecological risks to coastal urban agglomerations. Ecological security refers to the state of health of an ecosystem and its integrity. An objective and comprehensive evaluation of ecological security is significant for protecting the structure and function of coastal ecosystems. The driving force–pressure–state–impact–response (DPSIR) model was used to construct a dynamic simulation model of ecological security in the Xiamen–Zhangzhou–Quanzhou region (XZQR), located on the eastern coast of China. The ecological security level (ESL) characteristics of the spatial and temporal patterns were evaluated by calculating the ecological security index (ESI). Obstacle factors were analyzed as well. The results show the following: (1) From 2011 to 2021, the average ESI rose from 0.238 to 0.686 and went through a relatively insecure stage (2011–2015), a critical stage (2016–2019), and a relatively secure stage (2020–2021). (2) The ESI level in Quanzhou was higher in the early stage, and the level of ecological security in Zhangzhou showed a significant rising trend, increasing by 0.541. Its increase depended on increases in the impact layer. (3) The impact layer is the main obstacle layer affecting the ESL, and the main obstacles include CO2 emissions (0.117), annual rainfall (0.091), general public budget expenditures (0.082), GDP growth rates (0.082), and green coverage in built-up areas (0.075). Therefore, we recommend promoting the complementary advantages of the XZQR and implementing ecological restoration projects.

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Section: Main Findingsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Revealing the Spatial-Temporal Evolution and Obstacles of Ecological Security in the Xiamen-Zhangzhou-Quanzhou Region, China

Zhang,

et al. 2024

Land

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“…Since then, its cultivation has expanded to different regions as market demand and prices have continued to rise [11]. Shanxi Province, situated in the Loess Plateau, epitomizes arid or semi-arid areas where soil water scarcity significantly impacts crop yield and quality [12,13].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Quinoa Varieties for Adaptability and Yield Potential in Low Altitudes and Correlation with Agronomic Traits

Tang,

Ren,

Jiang

et al. 2024

Agronomy

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The research conducted at the Shanxi Agricultural University’s Quinoa Experimental Model Base in Jinzhong, Shanxi Province, aimed to assess agronomic traits and their correlation with yield across 32 quinoa varieties. Three distinct yield categories emerged: low (≤1500 kg ha−1), middle (1500–2500 kg−1), and high (>2500 kg ha−1). High-yielding varieties demonstrated notable characteristics, including decreased plant height and increased leaf area per plant at maturity compared to low- and middle-yielding varieties. Moreover, the decline in leaf area per plant and root traits from flowering to maturity was less pronounced in the high-yielding varieties. The high-yielding varieties had a higher hardness of the stem base and middle stem by 12–13.7% and 6.3–11.5% compared to the medium- and low-yield varieties. Furthermore, high-yielding varieties indicated improvements in dry matter accumulation, decreased effective branch number, and increased main ear length and 1000-grain weight. Correlation analysis highlighted significant relationships between grain weight, yield, post-flowering senescence, and root and leaf characteristics. Structural equation model analysis revealed the negative impact of certain root and leaf traits on grain weight and yield, suggesting their importance in determining productivity. Notably, high-yielding varieties exhibited traits conducive to increased grain weight, including shorter plant height, slower root senescence, and enhanced post-flowering leaf resilience. These findings showed that understanding the relationship between agronomic traits and yield potential is crucial for optimizing quinoa production and promoting the sustainable development of this essential crop.

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Research on ecological risk assessment and risk level prediction in the central urban area of Chongqing, China

Xing,

Liu,

Zhang

et al. 2024

Environ Monit Assess

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Scheme simulation and predictive analysis of water environment carrying capacity in Shanxi Province based on system dynamics and DPSIR model

Cited by 19 publications

References 58 publications

Revealing the Spatial-Temporal Evolution and Obstacles of Ecological Security in the Xiamen-Zhangzhou-Quanzhou Region, China

Revealing the Spatial-Temporal Evolution and Obstacles of Ecological Security in the Xiamen-Zhangzhou-Quanzhou Region, China

Evaluation of Quinoa Varieties for Adaptability and Yield Potential in Low Altitudes and Correlation with Agronomic Traits

Research on ecological risk assessment and risk level prediction in the central urban area of Chongqing, China

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