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Impact of Land Cover Changes on the Wetland Ecosystem Water Environment Using Soft Computing Methods

Author

Listed:
  • Wenming Cai
  • Xue Liu
  • Dapeng Zhang
  • Farzana Akter
  • Parikshit Narendra Mahalle

Abstract

Economic growth is accelerating in the entire world due to new inventions and advancements in the field of science and technology. The technology is progressing at a rapid pace and resulting in the infrastructure and technical progression of each nation. The utilization rate of land in the world has also increased substantially where the cultivated land is used for the development of industries and buildings. This land occupancy is alarming for the environment, and it is impacting the ecosystem of the earth in many adverse ways. In this study, the impact of land cover changes on the wetland ecosystem water environment has been studied in depth using soft computing techniques. The water environment data of the wetland ecosystem are obtained from real-world scenario and are mined using a particle swarm K-means clustering approach based on chaos search. The water environment assessment approach is used to analyze the influence of land cover changes on the water environment of the wetland ecosystem. The findings of this research work reveal that the cultivated land in the wetland is steadily decreasing, and the fertile forestland is steadily decreasing in the early stages and gradually increasing in the latter stages. The wetland water quality is gradually degrading over the period of time. The outcomes of the study demonstrate that a nonpoint source of pollution produced by land-use changes is the most important factor, which is affecting water quality. The analytical results’ accuracy is as high as 0.98 when compared to the real-world circumstances.

Suggested Citation

  • Wenming Cai & Xue Liu & Dapeng Zhang & Farzana Akter & Parikshit Narendra Mahalle, 2022. "Impact of Land Cover Changes on the Wetland Ecosystem Water Environment Using Soft Computing Methods," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-9, May.
  • Handle: RePEc:hin:jnlmpe:3673758
    DOI: 10.1155/2022/3673758
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