WATER QUALITY OF A LARGE TRIBUTARY OF THE MEKONG RIVER IN THAILAND - SPATIOTEMPORAL VARIATIONS AND POTENTIAL CAUSES

2019 ◽  
Author(s):  
GUOAN YU ◽  
HAOYU TIAN ◽  
RENZHI LI ◽  
HE QING HUANG ◽  
ARIKA BRIDKITT ◽  
...  
Author(s):  
Haoyu Tian ◽  
Guo-An Yu ◽  
Ling Tong ◽  
Renzhi Li ◽  
He Qing Huang ◽  
...  

The water quality of the Mun River, one of the largest tributaries of the Mekong River and an important agricultural area in Thailand, is investigated to determine its status, identify spatiotemporal variations and distinguish the potential causes. Water quality dataset based on monitoring in the last two decades (1997–2017) from 21 monitoring sites distributed across the basin were analyzed using seasonal Kendall test and water quality index (WQI) method. The Kendall test shows significant declines in fecal coliform bacteria (FCB) and ammonia (NH3) in the upper reaches and increases in nitrate (NO3) and NH3 in the lower reaches. Strong temporal and spatial fluctuations were observed in both the concentrations of individual parameters and the WQI values. Seasonal variation of water quality was observed at each monitoring site. WQI values in August (flood season) were generally among the lowest, compared to other seasons. Spatially, sites in the upper reaches generally having lower WQI values than those in the lower reaches. Excessive phosphorus is the primary cause of water quality degradation in the upper reaches, while nitrogen is the primary parameter for water quality degradation in the lower reaches. Urban built-up land is an important “source” of water pollutants in the lower basin, while agricultural land plays a dual role, affecting across the basin.


2010 ◽  
Vol 62 (7) ◽  
pp. 1587-1594 ◽  
Author(s):  
Pham Thi Minh Hanh ◽  
Nguyen Viet Anh ◽  
Dang The Ba ◽  
Suthipong Sthiannopkao ◽  
Kyoung-Woong Kim

In order to determine the influence of climate and hydrology on water quality of the lower Mekong River, the long term monitoring data (from 1985 to 2004) of climatic, hydrological and water quality variables were analyzed. In general, water quality was ‘good’ or ‘very good’ for most of the investigated water quality parameters including DO, pH, conductivity, nitrate, phosphate and total phosphorus. All climatic and hydrological elements as well as most of the water quality parameters varied seasonally. Throughout the 18-year period, only evaporation, water level and TSS showed a significant pertinent trend. ARIMA models results reveal that among climatic and hydrological paremeters, water quality could be effectively predicted from the data of discharge flow and precipitation. The results showed good R2 (≥0.7) estimation between predicted and observed values for TSS, alkalinity and conductivity which are the chemically and biologically conservative parameters. For other water quality parameters such as Ca2 + , Mg2 + , Si, Cl−, NO3−, and SO42−, the predicting results by ARIMA model were reliable in shorter period than the above three mentioned variables.


2009 ◽  
Vol 12 (2) ◽  
pp. 97-110
Author(s):  
Hanh Thi Hong Tran ◽  
Tran Thi Hong Le ◽  
Hanh Vu Bich Dang ◽  
Thanh Thi Duong

Nowadays, with developing all over country of aquaculture, basa catfish in the Mekong River delta, included An Giang province, has kept important position and contributed to economic development in the area. However, aquaculture activities has faced with environmental risk and aquacultures diseases that cause quality of fish pond water has usually pollution and reducing total of basa fish yeild. The water and sludge samples were conducted for six months in order to carry out the current status of water quality of fish ponds at My Hoa Hung commune at Long Xuyen city. Based on analysis results, proposing establishment dada base and monitoring network of surface water by using GIS that were conducted to improve surface water quality and identify the risks that may cause damage the environmental of basa fish ponds in this reserach.


2013 ◽  
Vol 5 (2) ◽  
pp. 58-66 ◽  
Author(s):  
Parinya Moonsin ◽  
Yuwadee Peerapornpisal ◽  
Eugen Rott ◽  
Eveline Pipp ◽  
Aranya Pimmongkol

2021 ◽  
Vol 33 (5) ◽  
pp. 1415-1424
Author(s):  
Dai Xiaoying ◽  
◽  
Xu Dong ◽  
Wu Junmei ◽  
Feng Jun ◽  
...  

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