scholarly journals A Comparison Study of Runoff Characteristics of Non-Point Source Pollution from Three Watersheds in South Korea

Water ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 966 ◽  
Author(s):  
Minji Park ◽  
Young Soon Choi ◽  
Hyung Jin Shin ◽  
Inhong Song ◽  
Chun Gyeong Yoon ◽  
...  
Keyword(s):  
Organic Matter ◽  
Land Cover ◽  
Point Source ◽  
Oxygen Demand ◽  
Pollution Monitoring ◽  
First Flush ◽  
Point Source Pollution ◽  
Point Pollution ◽  
Non Point Source Pollution ◽  
Rainy Days

Three watersheds in Korea (Dochoncheon, Gongjicheon, Seolseongcheon) with different land cover characteristics were selected for non-point source pollution monitoring. Event mean concentration (EMC) was calculated, and runoff characteristics were compared through first-flushing and statistical analyses. The mean of the water quality parameters was the highest in Seolseongcheon during dry days among the three watersheds. EMCs of biochemical oxygen demand (BOD) and total nitrogen (TN) were higher in Dochoncheon and Gongjicheon during rainy days, respectively. The upper Seolseongchun watershed showed overall greater values of chemical oxygen demand (COD), suspended solids (SS), total organic carbon (TOC), and total phosphorus (TP). First-flush analyses indicated that SS had the strongest and TN had the weakest effects on the first flush. BOD was the highest in Dochoncheon (urban watershed) and increased with increased number of antecedent dry days. Rainfall intensity appeared to affect SS runoff strongly in Gongjicheon and Seolseongcheon. COD showed strong correlation with SS and TOC in all watersheds, and organic matter (COD and TOC) demonstrated high factor loads during dry and rainy days. Thus, organic matter–related factors were classified as the major factors in pollutant loads. TP and TN were separately classified during dry days in Gongjicheon and Seolseongcheon, whereas these were the secondary factors during rainfall when the influence of non-point pollution was substantial. Cluster analyses showed that the monitoring sites in Dochoncheon and Gongjicheon watersheds were closer than Seolseongcheon. As a result of the comparison of non-point source pollution runoff in the three watersheds, it was difficult to explain the non-point source pollution runoff by specific characteristics such as land cover. For science-based management of non-point pollution, it is necessary to obtain additional survey data considering the climatic, geographical and major industries.

The Construction of Evaluation System for the Initial Rainwater Reduction Facilities in Shanghai

2014 ◽  
Vol 1073-1076 ◽  
pp. 1017-1022
Author(s):  
Xiao Kang Wu ◽  
Chun Ming Ye ◽  
Yong Lin Li ◽  
Jia Wu
Keyword(s):  
Point Source ◽  
Evaluation System ◽  
Urban Drainage ◽  
First Flush ◽  
Storage Tanks ◽  
Scientific Evaluation ◽  
Point Source Pollution ◽  
Urban Drainage Systems ◽  
Suzhou Creek ◽  
Non Point Source Pollution

Initial rainwater pollution is an important non-point source pollution of urban drainage systems. The application of storage tanks and other reduction facilities has play a key role in reducing first flush pollution. Because of the lack of scientific evaluation system, the evaluation is disorderly and there are many operational problems. This case is based on the reduction facilities research of Suzhou Creek in Shanghai, through which a standard evaluation system and implementation procedure are built to perfect the incomprehensive and unscientific system, so that the efficiency can be improved.

Non-point pollution from China's rural areas and its countermeasures

2001 ◽  
Vol 44 (7) ◽  
pp. 123-128 ◽  
Author(s):  
C.-Q. Yin ◽  
C.-F. Yang ◽  
B.-Q. Shan ◽  
G.-B. Li ◽  
D.-L. Wang
Keyword(s):  
Environmental Education ◽  
Point Source ◽  
Constructed Wetlands ◽  
Rural Areas ◽  
Nutrient Load ◽  
Point Source Pollution ◽  
Runoff Water ◽  
Lakes And Reservoirs ◽  
Point Pollution ◽  
Non Point Source Pollution

Most lakes in the eastern part of China are eutrophic and non-point pollution accounts for more than half of the nutrient load to the lakes and reservoirs. Some efforts have been made to reduce the non-point source pollution in the catchments of sensitive water bodies. Technologies for the control of non-point pollution in Chinese rural areas are multipond systems, biogas fermentation, hilly area ecological agriculture, constructed wetlands, ecotone engineering and others. They are effective in the removal of nutrients from the runoff water or reduction of waste, and they are used with multi-purposes. To control non-point pollution, the cooperation with farmers and other residents in the countryside is the key to success, and the program has to consider their benefits. There are still many difficulties with its control, and more efforts are needed to develop suitable technologies and environmental education.

Investigation of point source and non-point source pollution for Panjiakou Reservoir in North China by modelling approach

2014 ◽  
Vol 50 (2) ◽  
pp. 167-181 ◽  
Author(s):  
Jinhui Jeanne Huang ◽  
Wenyan Xiang
Keyword(s):  
Point Source ◽  
Oxygen Demand ◽  
Quality Model ◽  
Point Source Pollution ◽  
Supply Source ◽  
Nps Pollution ◽  
Basin Scale ◽  
Tianjin City ◽  
Non Point Source Pollution ◽  
Modelling Approach

Panjiakou Reservoir is the main water supply source for Tianjin City, which has a population of over 14 million. In order to develop a watershed management strategic plan for source water protection, it is necessary to have reliable information on point source (PS) and non-point source pollution (NPS). The modelling approach has been frequently used in the study of partitioning of PS and NPS pollution on a basin scale. This study employed the Loading Simulation Program in C++ (LSPC) model to investigate the PS and NPS source pollution loadings to Panjiakou Reservoir. The hydrological model and the water quality model were developed and validated using field data from 2006 to 2010. It has been found that the PS pollution is still the major source for chemical oxygen demand (COD) loadings, accounting for about three-quarters of the total annual loadings to the reservoir; while near half of the total nitrogen (TN) and total phosphorus (TP) total annual loadings are from NPS pollution. There is a large seasonal variation for TN and TP loadings from NPS pollution. The contribution of TN and TP from NPS in the flooding seasons can reach 70%, whereas the contribution can also be as low as 4% during the dry season in the winter.

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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