Methods for estimating streamflow and analyzing streamflow and water-quality trends for the Surface-Water Ambient Monitoring Program (SWAMP) network in Florida

1997 ◽  
Author(s):  
Anne F. Choquette ◽  
Lisa K. Ham ◽  
Agustin A. Sepulveda
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Monitoring Program ◽  
Ambient Monitoring ◽  
Water Quality Trends

scholarly journals Decadal surface water quality trends under variable climate, land use, and hydrogeochemical setting in Iowa, USA

2014 ◽  
Vol 50 (3) ◽  
pp. 2425-2443 ◽  
Author(s):  
Christopher T. Green ◽  
Barbara A. Bekins ◽  
Stephen J. Kalkhoff ◽  
Robert M. Hirsch ◽  
Lixia Liao ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Surface Water ◽  
Surface Water Quality ◽  
Water Quality Trends

scholarly journals A review of long-term pesticide monitoring studies to assess surface water quality trends

2020 ◽  
Vol 9 ◽  
pp. 100064
Author(s):  
R. Chow ◽  
R. Scheidegger ◽  
T. Doppler ◽  
A. Dietzel ◽  
F. Fenicia ◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Surface Water Quality ◽  
Pesticide Monitoring ◽  
Water Quality Trends

scholarly journals EVALUATING SURFACE WATER QUALITY AND WATER MONITORING PARAMETERS IN THE TIEN RIVER, VIETNAMESE MEKONG DELTA

2021 ◽  
Vol 83 (3) ◽  
pp. 29-36
Author(s):  
Thanh Giao Nguyen ◽  
Vo Quang Minh
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Monitoring Program ◽  
Oxygen Demand ◽  
Surface Water Quality ◽  
Principal Component ◽  
Water Quality Monitoring ◽  
Quality Parameters ◽  
Water Monitoring ◽  
Water Quality Parameters

The study aimed to evaluate the surface water quality of the Tien River and identify water quality parameters to be monitored using the water quality monitoring data in the period of 2011 - 2019. The water samples were collected at five locations from Tan Chau to Cho Moi districts, An Giang province for three times per year (i.e., in March, June, and September). Water quality parameters included temperature (oC), pH, dissolved oxygen (DO), total suspended solids (TSS), nitrate (NO3--N), orthophosphate (PO43--P), biological oxygen demand (BOD), and coliforms. These parameter results were compared with the national technical regulation on surface water quality QCVN 08-MT: 2015/BTNMT, column A1. Principal component analysis (PCA) was used to identify the sources of pollution and the main factors affecting water quality. The results of this study showed that DO concentration was lower and TSS, BOD, PO43--P, coliforms concentrations in the Tien river exceeded QCVN 08-MT: 2015/BTNMT, column A1. pH, temperature, and NO3--N values were in accordance with the permitted regulation. The water monitoring parameters were seasonally fluctuated. DO, BOD, TSS, and coliforms concentrations were higher in the rainy season whereas NO3--N and PO43--P were higher in the dry season. The PCA results illustrated that pH, TSS, DO, BOD, PO43--P and coliforms should be included in the monitoring program. Other indicators such as temperature and NO3--N could be considered excluded from the program to save costs. 

scholarly journals Assessment of Surface Water Quality and Monitoring in Southern Vietnam Using Multicriteria Statistical Approaches

2021 ◽  
Author(s):  
Giao Thanh Nguyen ◽  
Huynh Thi Hong Nhien
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Monitoring Program ◽  
Surface Water Quality ◽  
Principal Component ◽  
Allowable Limit ◽  
Sampling Locations ◽  
Entropy Weighted ◽  
Industrial Zones ◽  
The Impact

Abstract The study was conducted to analyze water quality fluctuations in the South of Vietnam using monitoring data at 58 locations, measured 8 times per year, analyzing 16 water quality indicators in 2020. The study has used national technical regulations on surface water quality (QCVN 08-MT:2015/BTNMT, column A1), water quality index (WQI), cluster analysis (CA), principal component analysis (PCA) and Entropy weighted methods to analyze surface water quality. The results showed that the water quality was contaminated with organics (low DO while TSS, BOD, COD was high), nutrients (mainly N-NH4+) and Fe. Pb at some locations exceeded the allowable limit. Cd, Hg and As were within the allowable limits of QCVN 08-MT:2015/BTNMT, column A1. DO, TSS, BOD, COD, N-NH4+, Fe, EC, TDS, Cl- were seasonally fluctuated. WQI classified water quality from bad to very good (WQI=42-100) due to the impact of hydrological conditions, navigation, wastewater and waste from industrial zones, and fishing ports. The findings presented that it is possible to reduce the 11 sampling locations of cluster 1-6, reduce the frequency of monitoring from 8 to 5 times per year, while still ensuring representativeness of water quality over time, reducing the monitoring costs by 56.5%. The PCA identified five major potential sources explaining 87.3% and 8 minor sources explaining only 12.7% of water quality variation. Temperature, pH, EC, DO, BOD, COD, N-NH4+, N-NO2-, Fe, Cl-, Pb need to be monitored, while adding indicators P-PO43-, TP, TN, coliforms into the future monitoring program. The study shows that the medium and bad water quality are concentrated in Dong Nai, Ho Chi Minh City and Long An, so the relevant environmental management agencies needs to find solutions to improve the water quality in those areas. The current results can assist in decision-making related to environmental quality monitoring in the southern region of Vietnam.

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