2018IOP Conference Series Earth and Environmental ScienceOpen access

Land use/cover change and ITS eco-environment effect in Shiyang River Basin

Xinkan Hu, Yizhou Jin, Lei Ji, Jianjun Zeng, Yifan Cui, Zhihua Song, Dong Yuan Sun, Yishuai CHENG

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Abstract

Based on the origin data of Landsat TM images in 1980, 1995, 2000, 2006, 2012, this paper recurred to geoscience information spectrogram theory and utlized RS / GIS technologies, land use dynamic degree , land use transition matrixes and CA-Markov model to analyze the land use pattern change in Shiyang River Basin in the past 33 years, which was for the sake of discussing the spatial-temporal evolution rules and driving mechanism of land use in Shiyang River Basin.The results showed that: (1) There were apparent changes in the land use of Shiyang River Basin form 1980 to 2013.(2) in the past 33 years, the dynamic degrees of forest land, urban and rural resident construction land had relative large increase degree on the whole.(3) The main transition direction of land use types were arable land to grass land, grass land to unused land and unused land to arable land and forest land.(4) The CA-Markov model forecasting results indicated that there was no obvious change in land use construction in 2020.(5) The change of land use/cover brought desertification, mountainous runoff variation, the loss of water environment, vegetation coverage, water and soil, and a series of ecological environment problems.

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What this paper is about

Based on the origin data of Landsat TM images in 1980, 1995, 2000, 2006, 2012, this paper recurred to geoscience information spectrogram theory and utlized RS / GIS technologies, land use dynamic degree , land use transition matrixes and CA-Markov model to analyze the land use pattern change in Shiyang River Basin in the past 33 years, which was for the sake of discussing the spatial-temporal evolution rules and driving mechanism of land use in Shiyang River Basin.The results showed that: (1) There were apparent changes in the land use of Shiyang River Basin form 1980 to 2013.(2) in the past 33 years, the dynamic degrees of forest land, urban and rural resident construction land had relative large increase degree on the whole.(3) The main transition direction of land use types were arable land to grass land, grass land to unused land and unused land to arable land and forest land.(4) The CA-Markov model forecasting results indicated that there was no obvious change in land use construction in 2020.(5) The change of land use/cover brought desertification, mountainous runoff variation, the loss of water environment, vegetation coverage, water and soil, and a series of ecological environment problems.

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Available abstract

Based on the origin data of Landsat TM images in 1980, 1995, 2000, 2006, 2012, this paper recurred to geoscience information spectrogram theory and utlized RS / GIS technologies, land use dynamic degree , land use transition matrixes and CA-Markov model to analyze the land use pattern change in Shiyang River Basin in the past 33 years, which was for the sake of discussing the spatial-temporal evolution rules and driving mechanism of land use in Shiyang River Basin.The results showed that: (1) There were apparent changes in the land use of Shiyang River Basin form 1980 to 2013.(2) in the past 33 years, the dynamic degrees of forest land, urban and rural resident construction land had relative large increase degree on the whole.(3) The main transition direction of land use types were arable land to grass land, grass land to unused land and unused land to arable land and forest land.(4) The CA-Markov model forecasting results indicated that there was no obvious change in land use construction in 2020.(5) The change of land use/cover brought desertification, mountainous runoff variation, the loss of water environment, vegetation coverage, water and soil, and a series of ecological environment problems.

Key concepts: Arable land, Land use, Environmental science, Hydrology (agriculture), Desertification, Land cover, Land use, land-use change and forestry, Surface runoff

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