Study on Evaluation of Ecological Environment
Quality and Temporal-Spatial Evolution
of Danjiang River Basin (Henan Section)

Wang, Shidong; Si, Jin-Jin; Wang, Yong

doi:10.15244/pjoes/128110

Cited by 8 publications

(9 citation statements)

References 13 publications

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“…Overall, it presented a pattern of low in the central area and high in the surrounding areas. Furthermore, the trend analysis based on the RSEI data for the 21 periods showed that 63.97% of the area exhibited a upward trend in the future ecological environment quality of Luoyang city, aligning with previous research findings [44].…”

Section: The Spatiotemporal Variation Characteristics Of Rseisupporting

confidence: 88%

Long-Term Ecological Environment Quality Evaluation and Its Driving Mechanism in Luoyang City

Jing

Yan

et al. 2023

Sustainability

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The quality of the ecological environment determines human well-being, and the degree of ecological environment quality has a significant impact on regional sustainable development. Currently, the assessment content of ecological environment quality in Luoyang is relatively single-indicator-based and is insufficient to comprehensively reflect the changes in the ecological environment quality of Luoyang city. Therefore, the study aims to use the Remote Sensing Ecological Index (RSEI), a comprehensive evaluation model, with Landsat remote sensing images and statistical yearbooks as the data sources, to evaluate the spatiotemporal dynamic changes in the ecological environment quality of Luoyang city from 2002 to 2022 through trend analysis and mutation testing; the study employs geographical detectors to analyze the driving factors about the changes in ecological environment quality. The study found that: (1) the average RSEI value in Luoyang city has increased by 0.102 in the past 20 years, indicating an overall improvement in the ecological environment quality of Luoyang city. (2) The northern region of the study area has lower RSEI values, while the southern region has better ecological environment quality, which corresponds to the fact that the northern part of Luoyang city has intensive human activities, while the southern part is characterized by higher vegetation coverage in mountainous areas. (3) The proportion of areas with medium and above ecological environment quality grades have increased from 47.2% to 67.5%, indicating a positive trend in future ecological environment quality changes. (4) The population change was the strongest single factor influencing the ecological environment quality change in Luoyang city. The interaction between temperature and GDP was relatively the strongest. The current ecological environment status in the study area is the result of the combined effects of natural and anthropogenic factors. The research conclusions contribute to improving regional ecological environment quality and are of great significance for the regional ecological environment planning and the achievement of sustainable development goals.

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Section: The Spatiotemporal Variation Characteristics Of Rseisupporting

confidence: 88%

Long-Term Ecological Environment Quality Evaluation and Its Driving Mechanism in Luoyang City

Jing

Yan

et al. 2023

Sustainability

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“…In the previous literature, human engineering activities have caused serious damage to the ecological environment, such as coal mining (Liu et al, 2023), urban sprawl (Lin et al, 2022), and climate rise caused by excessive carbon dioxide emissions (Zhang et al, 2023). However, with the strict implementation of laws, regulations and policies such as ecological environmental protection, the quality of the ecological environment has a tendency to improve (Wang et al, 2021).…”

Section: Figure 10mentioning

confidence: 99%

Ecological environment quality assessment and spatial autocorrelation of northern Shaanxi mining area in China based-on improved remote sensing ecological index

Zhu,

Cao,

Yang

et al. 2024

Front. Environ. Sci.

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The northern Shaanxi coal mining area is an important coal production base in China and an ecologically fragile area, and it is of great significance to explore the ecological environment quality and spatial evolution trend of the mining area. Based on Sentinel-2 and MODIS image data, an improved remote sensing ecological index was constructed by principal component analysis method: normalized difference vegetation index, normalized difference water index, normalized differential buildup and bare soil index, and net primary productivity. The ecological environment quality of the northern Shaanxi coal mining area and its influencing factors, as well as the spatial autocorrelation analysis of ecological environment quality, were discussed. The results showed that: 1) The vegetation coverage in the study area showed an overall increasing trend, but it was greatly affected by the average annual temperature. The NDVI index at the mine area is higher than the NDVI index at the non-mine area. 2) The water area gradually decreases with the year, which has a certain negative correlation with the total raw coal production. 3) The NDBB index showed a decreasing trend with the year, and compared with the non-mining area. 4) The coupling of year-by-year precipitation and temperature leads to interannual fluctuation of NPP value. 5) The change of ecological environment quality in the study area is the result of the comprehensive effect of natural factors and human factors. The implementation of ecological protection projects such as geological environmental protection and land reclamation in mining areas also has a certain impact on the trend of ecological environment quality. 6) There was a significant spatial autocorrelation in the quality of the ecological environment in the study area. There are significant “High-High” gathering areas of ecological environment quality within the coal mining area.

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“…The NDBSI commonly expresses the DI. The SI, IBI, and NDBSI can be determined using Equations ( 5), ( 6) and (7), respectively [14,15].…”

Section: Construction Of the Rseimentioning

confidence: 99%

“…Effective scientific monitoring and quantitative evaluation of the urban EEQ are crucial for protecting the urban EE, harmonious development between human beings and nature, and the sustainable development of society [5]. Remote sensing technology has become an essential tool for monitoring and assessing EEQ due to its wide range of information acquisition, real-time monitoring, high precision, convenience, objectivity, large-scale coverage, rapidity, and periodicity [6][7][8][9]. In practice, remote sensing technology has been extensively applied in EE monitoring and evaluation.…”

Section: Introductionmentioning

confidence: 99%

Eco-Environmental Quality Assessment Using the Remote Sensing Ecological Index in Suzhou City, China

Fang,

Pablo,

Zhang

2023

Sustainability

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This study utilizes four environmental indicators derived from six-phase Landsat images (TM, OLI, and TIRS) to construct a remote sensing ecological index (RSEI) and to quantitatively and comprehensively assess the spatiotemporal changes in the eco-environmental quality (EEQ) of Suzhou City, China. The environmental indicators consist of the wetness index (WI), greenness index (GI), dryness index (DI), and heat index (HI). The obtained results showed: (1) positive effects of the WI and GI, as well as negative effects of the DI and HI, on the EEQ of Suzhou City in the 2002–2022 period. The GI was observed to have the greatest impact on the RSEI of Suzhou City. (2) The average RSEI values of Suzhou City exhibit a “W” shape pattern in the 2002–2022 period. The lowest and highest average RSEI values were 0.632 and 0.746, respectively, while the average annual RSEI value was 0.702. The EEQ of Suzhou City was observed to be at a relatively good level. (3) The EEQ of Suzhou City exhibits sharp declines in the periods of 2006–2010 and 2014–2018, for which the degraded RSEI area covers 440.60 and 404.16 km2, while the area ratios are 56.13% and 51.48%, respectively. The EEQ of Suzhou City has substantially increased during the periods of 2010–2014, 2018–2022, and 2002–2022, showing improved RSEI areas of 583.7, 390.13, and 347.02 km2 and area ratios of 74.36%, 49.70%, and 44.21%, respectively. The results of this study provide a scientific basis for the protection, utilization, and development of the ecological environment (EE) of Suzhou City. They also provide valuable references and data support for the sustainable development, the high-quality development of the EE, and the construction of the ecological civilization of Suzhou City. The policymakers of environmental protection departments in Suzhou City can use this study’s inferences to devise local environmental protection policies.

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Study on Evaluation of Ecological Environment Quality and Temporal-Spatial Evolution of Danjiang River Basin (Henan Section)

Cited by 8 publications

References 13 publications

Long-Term Ecological Environment Quality Evaluation and Its Driving Mechanism in Luoyang City

Long-Term Ecological Environment Quality Evaluation and Its Driving Mechanism in Luoyang City

Ecological environment quality assessment and spatial autocorrelation of northern Shaanxi mining area in China based-on improved remote sensing ecological index

Eco-Environmental Quality Assessment Using the Remote Sensing Ecological Index in Suzhou City, China

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