Land use pattern, irrigation, and fertilization effects of rice-wheat rotation on water quality of ponds by using self-organizing map in agricultural watersheds

2019 ◽  
Vol 272 ◽  
pp. 155-164 ◽  
Author(s):  
Yufeng Li ◽  
Alan Wright ◽  
Hongyu Liu ◽  
Juan Wang ◽  
Gang Wang ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Agricultural Watersheds ◽  
Self Organizing Map ◽  
Land Use Pattern ◽  
Use Pattern ◽  
Fertilization Effects ◽  
Self Organizing

Effects of land use pattern on water quality in mountainous city-a case study of Chongqing City

2016 ◽  
Vol 28 (2) ◽  
pp. 319-327 ◽  
Author(s):  
LV Zhiqiang ◽  
◽  
QING Xuyao ◽  
REN Yufen ◽  
WANG Xiaoke ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Land Use Pattern ◽  
Chongqing City ◽  
Use Pattern ◽  
Effects Of Land Use

Comparative analysis of correlation between water quality and land use pattern of different river hierarchies

2014 ◽  
Vol 34 (24) ◽  
Author(s):  
洪超 HONG Chao ◽  
刘茂松 LIU Maosong ◽  
徐驰 XU Chi ◽  
杨雪姣 YANG Xuejiao ◽  
池婷 CHI Ting ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Comparative Analysis ◽  
Land Use Pattern ◽  
Use Pattern

scholarly journals Linking Land Use Metrics Measured in Aquatic–Terrestrial Interfaces to Water Quality of Reservoir-Based Water Sources in Eastern China

2019 ◽  
Vol 11 (18) ◽  
pp. 4860 ◽  
Author(s):  
Lilian Ding ◽  
Qiyao Li ◽  
Jianjun Tang ◽  
Jiangfei Wang ◽  
Xin Chen
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Eastern China ◽  
Oxygen Demand ◽  
Ammonia Nitrogen ◽  
Water Sources ◽  
Self Organizing Map ◽  
Water Safety ◽  
Construction Land

The effects of anthropogenic land use on the water quality of reservoir-based water sources are understudied. We trained a self-organizing map (SOM) to measure the spatial pattern of nutrients over the course of a year in 61 reservoirs located in eastern China. In the linear regression model and one-way analyses of variance, we found that water quality was influenced by period of the year (flood, low, and normal periods based on rainfall conditions) and reservoir altitude (plains vs. mountains). Our results indicated that land use metrics measured in aquatic–terrestrial interfaces significantly influenced the water quality of reservoirs. The land use intensity (LUI) and the proportion of construction land had a positive correlation with ammonia nitrogen (NH3-N) and chemical oxygen demand (CODMn) concentrations, and redundancy analysis indicated that the percent of landscape (PLAND) represented by construction land was positively correlated with CODMn, NH3-N, total phosphorus (TP), and total nitrogen (TN) concentrations. The proportion of cropland was not correlated with any water quality property except for CODMn concentration. The total explained variance for water quality was highest when the scale was large (the area defined by a 1500 m radius around the reservoir), indicating that management which ensures water safety should be carried out at this scale.

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