scholarly journals Evaluation and spatial distribution characteristic analysis of non-point source pollution in Shenyang

2017 ◽  
Author(s):  
Jing Zhang ◽  
Jun-Shi He ◽  
Lin-Fei Zhou
Keyword(s):  
Spatial Distribution ◽  
Point Source ◽  
Distribution Characteristic ◽  
Characteristic Analysis ◽  
Point Source Pollution ◽  
Spatial Distribution Characteristic ◽  
Non Point Source Pollution

scholarly journals Research on non-point source pollution spatial distribution of Qingdao based on L-THIA model

2011 ◽  
Vol 54 (3-4) ◽  
pp. 1151-1159 ◽  
Author(s):  
Jinheng Zhang ◽  
Tao Shen ◽  
Minghua Liu ◽  
Yu Wan ◽  
Jianbo Liu ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Point Source ◽  
Point Source Pollution ◽  
Non Point Source Pollution

Spatial Distribution of Non-Point Source Pollution in Nansihu Watershed Based on SWAT Model

2012 ◽  
Vol 518-523 ◽  
pp. 2812-2815
Author(s):  
Shuang Li ◽  
Zu Lu Zhang ◽  
Yuan Yuan Sun
Keyword(s):  
Spatial Distribution ◽  
Point Source ◽  
High Precision ◽  
Swat Model ◽  
The Other ◽  
Pollution Load ◽  
Point Source Pollution ◽  
Nps Pollution ◽  
Dissolved Form ◽  
Non Point Source Pollution

Non-point source (NPS) pollution load of N and P in Nansihu watershed were simulated based on SWAT model. The Sihe watershed was selected as typical watershed for east of the lake, and the Dongyu watershed was selected as typical watershed for west of lake. The two typical watersheds were simulated respectively, and then the models were used to simulate the other rivers basins in the Nansihu watershed. Data collected in the period from 2001 to 2007 was used for calibration, while data collected from 2008 to 2010 was used for validation. Then the spatial distribution of NPS pollution in Nansihu watershed (2010) was simulated with the validated model. The result indicated that the SWAT model could simulate the no-point source pollution in Nansihu watershed with high-precision. The watershed was polluted seriously with N and P. The TN was mainly composed of dissolved form, and the TP was mainly composed of adsorbed form.

scholarly journals Spatial-Temporal Change of Land Use and Its Impact on Water Quality of East-Liao River Basin from 2000 to 2020

Water ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 1955
Author(s):  
Mingxi Zhang ◽  
Guangzhi Rong ◽  
Aru Han ◽  
Dao Riao ◽  
Xingpeng Liu ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Land Use Change ◽  
Point Source ◽  
Water Body ◽  
Forest Land ◽  
Point Source Pollution ◽  
Construction Land ◽  
Unused Land ◽  
Non Point Source Pollution

Land use change is an important driving force factor affecting the river water environment and directly affecting water quality. To analyze the impact of land use change on water quality change, this study first analyzed the land use change index of the study area. Then, the study area was divided into three subzones based on surface runoff. The relationship between the characteristics of land use change and the water quality grade was obtained by grey correlation analysis. The results showed that the land use types changed significantly in the study area since 2000, and water body and forest land were the two land types with the most significant changes. The transfer rate is cultivated field > forest land > construction land > grassland > unused land > water body. The entropy value of land use information is represented as Area I > Area III > Area II. The shift range of gravity center is forest land > grassland > water body > unused land > construction land > cultivated field. There is a strong correlation between land use change index and water quality, which can be improved and managed by changing the land use type. It is necessary to establish ecological protection areas or functional areas in Area I, artificial lawns or plantations shall be built in the river around the water body to intercept pollutants from non-point source pollution in Area II, and scientific and rational farming in the lower reaches of rivers can reduce non-point source pollution caused by farming.

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