Effect of Land Use Change to Water Quality of Poyang Lake Region

Author(s):  
Yan Xifeng ◽  
Qiu Zumin ◽  
Wang Jinglan ◽  
Liu Feng ◽  
Liu Daonan
2012 ◽  
Vol 599 ◽  
pp. 753-756 ◽  
Author(s):  
Xi Feng Yan ◽  
Zu Min Qiu ◽  
Jing Lan Wang ◽  
Feng Liu ◽  
Dan Nan Liu

As an important influencing factor of global environmental change, land use change has always been the hot issues of geography study. Taking Poyang Lake region as an example the relationship between land use and ecological protection was expounded. Analyzed the comprehensive summarize to the Land use change, retrospected the development history of the Land use change, and also analyzed and depicted the current research field. The exploitation and conservation of the Poyang Lake international importance wetland are of importance for the ecologic environment in Jiangxi province.This paper is to summarize the status of land use change in the Poyang lake region refer to those research results before,finally some effective solutions were proposed.


2020 ◽  
Vol 12 (9) ◽  
pp. 3510 ◽  
Author(s):  
Dechao Chen ◽  
Acef Elhadj ◽  
Hualian Xu ◽  
Xinliang Xu ◽  
Zhi Qiao

Many catchments in northern Algeria, including the coastal Mitidja Basin in the north central part of the country have been negatively affected by the deterioration of water quality in recent years. This study aims to discover the relationship between land use change and its impact on water quality in the coastal Mitidja river basin. Based on the data of land use and water quality in 2000, 2010 and 2017, the relationship between land use change and surface water quality index in the Mitidja Watershed was discussed through GIS and statistical analysis. The results show that the physical and chemical properties of the Mitidja river basin have obvious spatial heterogeneity. The water quality of upstream was better than that of downstream. There was a significant spatial relationship between the eight water quality indicators and three land use types, including urban residential land, agricultural land and vegetation. In most cases, settlements and agricultural land are the dominant factors leading to river pollution, and higher vegetation coverage helps to improve water quality. The regression model revealed that percentage of urban settlement area was a predictor for NH4-N, BOD5, COD, SS, PO4-P, DO and pH, while vegetation was a predictor for NO3-N. The analysis also showed that during this period, urban settlement areas increased sharply, which has a significant impact on water quality variables. Agricultural land only had a significant positive correlation with PO4-P. The results provide an effective way to evaluate river water quality, control water pollution and land use management by landscape pattern.


2014 ◽  
Vol 42 (3) ◽  
pp. 633-643 ◽  
Author(s):  
ZuoBang Zhang ◽  
ChangQin Ke ◽  
YingJuan Shang

2015 ◽  
Vol 105 (6) ◽  
pp. 1240-1259 ◽  
Author(s):  
Qing Tian ◽  
Daniel G. Brown ◽  
Lin Zheng ◽  
Shuhua Qi ◽  
Ying Liu ◽  
...  

2016 ◽  
Vol 557-558 ◽  
pp. 296-306 ◽  
Author(s):  
Xuguang Tang ◽  
Hengpeng Li ◽  
Xibao Xu ◽  
Guishan Yang ◽  
Guihua Liu ◽  
...  

Water SA ◽  
2017 ◽  
Vol 43 (1) ◽  
pp. 139 ◽  
Author(s):  
CR Petersen ◽  
NZ Jovanovic ◽  
DC Le Maitre ◽  
MC Grenfell

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