|
| Land use change and its effects on water quality in typical steppe region of the Inner Mongolia Autonomous Region，China |
| Received:July 18, 2021 |
| View Full Text View/Add Comment Download reader |
| KeyWord:land use;landscape pattern;water quality effect;partial least squares regression model |
| Author Name | Affiliation | E-mail | | XIANG Song | National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Chinese Research Academy of Environmental Sciences, Beijing 100012, China | | | PANG Yan | National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Chinese Research Academy of Environmental Sciences, Beijing 100012, China | 190068749@qq.com | | YANG Tianxue | National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Chinese Research Academy of Environmental Sciences, Beijing 100012, China | | | DIAO Zhaoyan | National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Chinese Research Academy of Environmental Sciences, Beijing 100012, China | |
|
| Hits: 1679 |
| Download times: 1716 |
| Abstract: |
| The study of land use change and its effects on water quality is essential for controlling water pollution at the source. Using GIS technology, multi-statistics, and a partial least squares regression model, the changes in land use and their impact on water quality from 2005 to 2015 were analyzed in the Hailar River, a typical grassland river in the Inner Mongolia Autonomous Region. The results showed that significant changes in land use types occurred in the middle and upper basins, and grassland area and water area decreased sharply, while forest area, farmland area, urban land area, and unused land area increased. Furthermore, the land use pattern presented increasing landscape fragmentation, complexity, diversity, and a trend of decreasing aggregation, especially in the downstream catchment. The water quality of the Hailar River improved steadily during the study period. Water quality in the middle and upper reaches met the functional environmental requirements but deteriorated significantly downstream, where the permanganate index（CODMn）exceeded the standard throughout the year. The partial least squares regression model revealed that the key land use indicators showing predominantly positive relationships with water quality concentration were the cohesion index（COHE）and contagion index（CONTAG）, while the proportion of farmland area（AGRI） and Shannon′ s diversity index（SHDI） showed negative relationships. Moreover, the most dominant pollutant parameter, CODMn, was sensitive to land use change during the rainy season. This implies that land use change was an important factor influencing regional non-point source pollution and one of the driving factors of organic pollution in the Hailar River, suggesting that spatial control of regional land use should be strengthened. |
|
|
|
