STEMM Institute Press
Science, Technology, Engineering, Management and Medicine
Dynamic Evaluation and Spatial Analysis of Ecological Environmental Quality in the Yellow River Delta
DOI: https://doi.org/10.62517/jbdc.202601128
Author(s)
Inam Ullah1, Weidong Li1,*, Sheheryar Khan2, Zhenying Li1
Affiliation(s)
1College of information Science and Engineering, Henan University of Technology, Zhengzhou, Henan, China 2College of Water Conservancy, North China University of Water Resources & Electric Power, Zhengzhou, Henan, China *Corresponding Author
Abstract
This study examines the spatiotemporal dynamics of ecological environment quality (EQ) in the Yellow River Delta (YRD), a vital economic region in Shandong Province, China, that has seen substantial ecological transformations due to accelerated development and population increase. The study utilizes remote sensing and geospatial technologies to develop an Ecological Quality Index (EQI), analyzing its temporal trends and spatial variations over the period from 2000 to 2020. Google Earth Engine (GEE) and Landsat TM/OLI satellite images were used to see at how EQ changed over time. The results shows that EQ has a V-shaped tendency, with the lowest point in 2000 (43.21% extremely low and 19.32% low) and the highest point in 2010 (10.57% very high and 46.72% high). There was a 11.45% growth in places with very high EQ and a 51.61% increase in regions with high EQ by 2020. However, there was a drop from 2010 to 2020, especially in the north and southwest. These findings show how important it is to balance economic growth with protecting the environment. They also give useful information to help safeguard the environment in the YRD.
Keywords
Ecological Quality (EQ); Yellow River Delta (YRD); Ecological Quality Index (EQI); Google Earth Engine (GEE); Landsat TM/OLI
References
[1] Jiang, W., Gao, W.D., Giao, X.M., Ma, M.C., Zhou, M.M., Du, K., Ma, X. Spatio-temporal heterogeneity of air pollution and its key influencing factors in the Yellow River Economic Belt of China from 2014 to 2019. J. Environ. Manage, 2021, 296, 113172. [2] Alexandrescu, F., S, tefanescu, L., Pop, A. Penumbras of the planetary mine: Experiencing (post-) mining revolutions in the Western Carpathians of Romania. Eurasian Geogr. Econ, 2022, 1–28. [3] Rîsteiu, N.T., Remus, C., O’Brien, T. Contesting Post Communist Economic Development: Gold Extraction, Local Community, and Rural Decline in Romania. Eurasian Geogr. Econ, 2022, 63, 491–513. [4] Haq, N.U. Impact of FDI and Its Absorption Capacity on the National Innovation Ecosystems: Evidence from the Largest FDI Recipient Countries of the World. Foreign Trade Rev, 2022, 00157325221077007. [5] Cre¸tan, R., Guran-Nica, L., Platon, D., Turnock, D. Foreign Direct Investment in Eastern Europe. Foreign Direct Investment and Social Risk in Romania: Progress in Less-Favoured Areas, Routledge Press: London, UK, 2005, pp. 305–348. [6] Cretan, R., Malovics, G., Berki, B.M. On the perpetuation and contestation of racial stigma: Urban Roma in a disadvantaged neighbourhood of Szeged. Geogr. Pannonica, 2020, 24, 294–310. [7] Mörtberg, U.M., Balfors, B., Knol, W.C. Landscape ecological assessment: A tool for integrating biodiversity issues in strategic environmental assessment and planning. J. Environ. Manag, 2007, 82, 457–470. [8] Wu, H.Y., Chen, K.L., Chen, Z.H., Chen, Q.H., Qiu, Y.P., Wu, J.C., Zhang, J.F. Evaluation for the ecological quality status of coastal waters in East China Sea using fuzzy integrated assessment method. Mar. Pollut. Bull, 2012, 64, 546–555. [9] Zhong, X.J., Sun, B.P., Zhao, Y., Li, J.R., Zhou, X.S., Wang, Y.Q., Qiu, Y.D., Feng, L. Ecological vulnerability evaluation based on principal component analysis in Yunnan province. Ecol. Environ. Sci, 2011, 20, 109–113. [10]Ni, J. Carbon storage in terrestrial ecosystems of China: Estimates at different spatial resolutions and their responses to climate change. Clim. Chang, 2001, 49, 339–358. [11]Li, Y.R., Cao, Z., Long, H.L., Liu, Y.S., Li, W.J. Dynamic analysis of ecological environment combined with land cover and NDVI changes and implications for sustainable urban-rural development: The case of Mu Us Sandy Land, China. J. Clean. Prod, 2017, 142, 697–715. [12]Matsushita, B., Yang, W., Chen, J., Onda, Y., Qiu, G.Y. Sensitivity of the enhanced vegetation index (EVI) and normalized difference vegetation index (NDVI) to topographic effects: A case study in high-density cypress forest. Sensors, 2007, 7, 2636–2651. [13]Plutzar, C., Kroisleitner, C., Haberl, H., Fetzel, T., Bulgheroni, C., Beringer, T., Hostert, P., Kastner, T., Kuemmerle, T., Lauk, C., et al. Changes in the spatial patterns of human appropriation of net primary production (HANPP) in Europe 1990–2006. Reg. Environ. Chang, 2016, 16, 1225–1238. [14]Wang, S.Y., Zhang, X.X., Zhu, T., Yang, W., Zhao, J.Y. Assessment of ecological environment quality in the Changbai mountain nature reserve based on remote sensing technology. Prog. Geogr, 2016, 35, 1269–1278. [15]Geng, W.L., Li, Y.Y., Zhang, P.Y., Yang, D., Jing, W.L., Rong, T.Q. Analyzing spatiotemporal changes and trade-offs/synergies among ecosystem services in the Yellow River Basin, China. Ecol. Indic, 2022, 138, 108825. [16]Hao, R.F., Yu, D.Y., Liu, Y.P., Liu, Y., Qiao, J.M., Wang, X., Du, J.S. Impacts of changes in climate and landscape pattern on ecosystem services. Sci. Total Environ, 2017, 579, 718–728. [17]Bai, Y., Ochuodho, T.O., Yang, J. Impact of land use and climate change on water related ecosystem services in Kentucky, USA. Ecol. Indicates, 2019, 102, 51–64. [18]Lorilla, R.S., Poirazidis, K., Detsis, V., Kalogirou, S., Chalkias, C. Socio-ecological determinants of multiple ecosystem services on the Mediterranean landscapes of the Ionian Islands (Greece). Ecol. Model, 2020, 422, 108994. [19]Wang, S.J., Liu, Z.T., Chen, Y.X., Fang, C.L. Factors influencing ecosystem services in the Pearl River Delta, China: Spatiotemporal differentiation and varying importance. Resource Conserv. Recycl, 2021, 168, 105477. [20]Lyu, R.F., Clarke, K.C., Zhang, J.M., Feng, J.L., Jia, X.H., Li, J.J. Spatial correlations among ecosystem services and their socioecological driving factors: A case study in the city belt along the Yellow River in Ningxia, China. Appl. Geogr, 2019, 108, 64–73. [21]Liu, Y.Y., Zhao, C.Y., Liu, X.M., Chang, Y.P., Wang, H., Yang, J.H., Yang, X.G., Wei, Y. The multi-dimensional perspective of natural security evaluation and drive mechanism for Baishuijiang National Nature Reserve, China. Ecol. Indic, 2021, 132, 108295. [22]Kong, D.Y., Chen, H.G., Wu, K.S. The evolution of “production-living-ecological” space, eco-environmental effects and its influencing factors in China. J. Nat. Resour, 2021, 36, 1116–1135. [23]Sannigrahi, S., Zhang, Q., Pilla, F., Joshi, P.K., Basu, B., Keesstra, S., Roy, P.S., Wang, Y., Sutton, P.C., Chakraborti, S., et al. Responses of ecosystem services to natural and anthropogenic forcings: A spatial regression-based assessment in the world’s largest mangrove ecosystem. Sci. Total Environ, 2020, 715, 137004. [24]Pribadi, D.O., Pauleit, S. Peri-urban agriculture in Jabodetabek Metropolitan Area and its relationship with the urban socioeconomic system. Land Use Pol, 2016, 55, 265–274. [25]Zhang, X.Y., Wei, W., Zhou, L., Guo, Z.C., Li, Z.Y., Zhang, J., Xie, B.B. Analysis on spatio-temporal evolution of ecological vulnerability in arid areas of Northwest China. Acta Ecol. Sin, 2021, 41, 4707–4719. [26]Kadhim-Abid, A., Ichim, P., Atanasiu, G. Seasonal occurrence of Heat Island phenomenon in the urban built environment. Environ. Eng. Manag. J, 2019, 18, 417–424. [27]Zeng, S., Ma, J., Yang, Y., Zhang, S., Liu, G., Chen, F. Spatial assessment of farmland soil pollution and its potential human health risks in China. Sci. Total Environ, 2019, 687, 642–653. [28]Adnan, M.S.G., Abdullah, A.M., Dewan, A., Hall, J.W. The effects of changing land use and flood hazard on poverty in coastal Bangladesh. Land Use Policy, 2022, 99, 104868. [29]Inam Ullah, Weidong Li, Sheheryar, Zhenying Li. Quantifying Human and Environmental Impacts on Land Use Patterns in the Yellow River Delta. Journal of Simulation, 2025, 3, 7-15.
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