Estimation of urban nonpoint source pollution in Lake Biwa Basin

1998 ◽  
Vol 38 (10) ◽  
pp. 157-163 ◽  
Author(s):  
Atsushi Ichiki ◽  
Toshiyuki Ohnishi ◽  
Kiyoshi Yamada
Keyword(s):  
Water Quality ◽  
Environmental Management ◽  
Nonpoint Source Pollution ◽  
Lake Biwa ◽  
Nonpoint Source ◽  
Storm Events ◽  
Valuable Data ◽  
Nonpoint Sources ◽  
Pollutant Runoff

This study aims to simulate pollutant runoff into Lake Biwa using the Macro Model and examine the runoff characteristics of pollutants from urban nonpoint sources. As a result of the simulations of all rivers flowing into Lake Biwa, the characteristics of urban nonpoint source pollution and the basic units of urban nonpoint pollutants in the Lake Biwa basin became clear. It was shown that the control of pollutant runoff from nonpoint sources during storm events was significant in order to protect the water quality of Lake Biwa. From these results, valuable data concerning the environmental management of the Lake Biwa basin was obtained.

Study on characteristics of pollutant runoff into lake biwa, Japan

1999 ◽  
Vol 39 (12) ◽  
pp. 17-25 ◽  
Author(s):  
Atsushi Ichiki ◽  
Kiyoshi Yamada
Keyword(s):  
Water Quality ◽  
Environmental Management ◽  
River Basin ◽  
Lake Biwa ◽  
Annual Runoff ◽  
Macro Model ◽  
Pollutant Runoff

This study aims to simulate pollutant runoff using the Macro Model and examine the characteristics of pollutant runoff into Lake Biwa. As a result of the simulations in all rivers flowing into Lake Biwa, annual runoff load from every river basin was shown. The characteristics of pollutant runoff into Lake Biwa were examined with consideration to characteristics of river basin and rainfalls. In the results, it was shown how we should control pollutant runoff effectively in order to protect the water quality of Lake Biwa, and some knowledge concerned with the environmental management of the Lake Biwa basin was obtained.

Estimation on Emission of Nonpoint Source Pollution of Nitrogen and Phosphorus in Different Catchments of the Chaohu Lake Basin, China

2012 ◽  
Vol 518-523 ◽  
pp. 1530-1535
Author(s):  
Li Wu ◽  
Xin Yuan Wang ◽  
Cheng Zhu ◽  
Feng Li ◽  
Su Yuan Li
Keyword(s):  
Water Quality ◽  
Total Nitrogen ◽  
Total Phosphorus ◽  
Nonpoint Source Pollution ◽  
Nonpoint Source ◽  
Chaohu Lake ◽  
Lake Basin ◽  
Chaohu Lake Basin ◽  
The Chaohu Lake Basin

In order to estimate nonpoint source pollution loading of the Chaohu Lake Basin, the total nitrogen, total phosphorus of sediment, soil and water samples in five typical sub-catchments have been measured. Combining with routine monitoring data of the five sub-catchments of the Chaohu Lake, emission of nonpoint source pollution from these catchments were described and estimated with the reformative practical-mean concentration method. The results indicated that nonpoint source pollution contributed 79 % total phosphorus and 58 % total nitrogen to total loading. Thus, nonpoint source pollution was the primary cause of degrading water quality of the Chaohu Lake. The total nitrogen and total phosphorus were mainly from Hangbu-fengle River and Nanfei-dianbu River. Therefore, among five effluents of the Chaohu Lake, Hangbu-fengle River and Nanfei-dianbu River were the dominant sources for degrading water quality of the Chaohu Lake.

scholarly journals Pollution Source Apportionment and Water Quality Risk Evaluation of a Drinking Water Reservoir during Flood Seasons

2021 ◽  
Vol 18 (4) ◽  
pp. 1873
Author(s):  
Guoshuai Qin ◽  
Jianwei Liu ◽  
Shiguo Xu ◽  
Ya Sun
Keyword(s):  
Water Quality ◽  
Water Supply ◽  
Nonpoint Source Pollution ◽  
Pollution Source ◽  
Nonpoint Source ◽  
Pollution Sources ◽  
Principal Component Factor Analysis ◽  
Flood Season ◽  
Quality Risk

Reservoirs play an important role in the urban water supply, yet reservoirs receive an influx of large amounts of pollutants from the upper watershed during flood seasons, causing a decline in water quality and threatening the water supply. Identifying major pollution sources and assessing water quality risks are important for the environmental protection of reservoirs. In this paper, the principal component/factor analysis-multiple linear regression (PCA/FA-MLR) model and Bayesian networks (BNs) are integrated to identify water pollution sources and assess the water quality risk in different precipitation conditions, which provides an effective framework for water quality management during flood seasons. The deterioration of the water quality of rivers in the flood season is found to be the main reason for the deterioration in the reservoir water quality. The nonpoint source pollution is the major pollution source of the reservoir, which contributes 53.20%, 48.41%, 72.69%, and 68.06% of the total nitrogen (TN), phosphorus (TP), fecal coliforms (F.coli), and turbidity (TUB), respectively. The risk of the water quality parameters exceeding the surface water standard under different hydrological conditions is assessed. The results show that the probability of the exceedance rate of TN, TP, and F.coli increases from 91.13%, 3.40%, and 3.34%, to 95.75%, 25.77%, and 12.76% as the monthly rainfall increases from ≤68.25 mm to >190.18 mm. The risk to the water quality of the Biliuhe River reservoir is found to increase with the rising rainfall intensity, the water quality risk at the inlet during the flood season is found to be much greater than that at the dam site, and the increasing trend of TP and turbidity is greater than that of TN and F.coli. The risk of five-day biochemical oxygen demand (BOD5) does not increase with increasing precipitation, indicating that it is less affected by nonpoint source pollution. The results of this study can provide a research basis for water environment management during flood seasons.

First flush effects in an urban catchment area in Aalborg

1998 ◽  
Vol 37 (1) ◽  
pp. 251-257 ◽  
Author(s):  
Torben Larsen ◽  
Kirsten Broch ◽  
Margit Riis Andersen
Keyword(s):  
Water Quality ◽  
Catchment Area ◽  
Quality Parameters ◽  
Average Concentration ◽  
First Flush ◽  
Storm Events ◽  
Urban Catchment ◽  
Discharge Measurements ◽  
Quality Measurements

The paper describes the results of measurements from a 2 year period on a 95 hectare urban catchment in Aalborg, Denmark. The results of the rain/discharge measurements include 160 storm events corresponding to an accumulated rain depth of totally 753 mm. The water quality measurements include 15 events with time series of concentration of SS, COD, BOD, total nitrogen and total phosphorus. The quality parameters showed significant first flush effects. The paper discusses whether either the event average concentration or the accumulated event mass is the most appropriate way to characterize the quality of the outflow.

scholarly journals Chemical and ecological studies for water quality of Lake Biwa

1976 ◽  
Vol 12 (1) ◽  
pp. 22-26
Author(s):  
Susumu HASHIMOTO ◽  
Masanori FUJITA ◽  
Kenji FURUKAWA
Keyword(s):  
Water Quality ◽  
Lake Biwa ◽  
Ecological Studies

Bacterial Source Tracking of Nonpoint Source Pollution Using GIS and DNA Fingerprinting Technologies

2011 ◽  
pp. 208-223
Author(s):  
M. E. Folkoff ◽  
E. A. Venso ◽  
D. W. Harris ◽  
M. F. Frana ◽  
M. S. Scott
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Dna Fingerprinting ◽  
Physical Environment ◽  
Nonpoint Source ◽  
Point Sources ◽  
Source Tracking ◽  
Great Promise ◽  
Bacterial Source Tracking

This study is only the second to use DNA fingerprinting technology in Maryland to identify fecal coliform sources in order to guide the implementation of water pollution control practices in a watershed with bacterial impairment. By combining the use of digital air photos and GPS with GIS, fieldwork is planned and conducted more efficiently because sample sites can be selected that accurately represent the physical environment of the study area. We can also return to the field and find our sample sites or locate new ones, even in the remotest part of the study area. It is also possible to more accurately map the data directly in the context of its physical environment, greatly increasing the quality of analysis. The integration of DNA fingerprinting techniques with GIS shows great promise for extending our capabilities to identify the controls on water quality and point sources of waterborne health hazards.

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