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Water Quality Analysis in Mantaro River, Peru, Before and After the Tailing’s Accident Using the Grey Clustering Method

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@article{IJASEIT11928,
   author = {Alexi Delgado and Francisco Gil and Juan Chullunquía and Tom Valdivia and Chiara Carbajal},
   title = {Water Quality Analysis in Mantaro River, Peru, Before and After the Tailing’s Accident Using the Grey Clustering Method},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {11},
   number = {3},
   year = {2021},
   pages = {917--922},
   keywords = {Environmental accident; grey clustering method; Mantaro river; mining project; water quality.},
   abstract = {Problems with environmental accidents are increasing worldwide, which generates great damage to the environment. In fact, in July 2019, a tailing spill occurred that flowed into the Mantaro River, contaminating it with thousands of liters of waste. This had environmental consequences and social ones since there were people for and against mining, which is the principal economic activity in the area. In this way, this study proposes to quantify the damage caused by the tailing spill using the grey clustering method, which is based on grey systems theory. For this purpose, two sampling points were chosen for data collection and evaluation both before and after the accident, which allowed to measure the impact of metal concentrations and other physical-chemical parameters caused by accident. The results obtained from the study revealed increases in the concentration levels of metals such as aluminum, arsenic, among others, in some cases very high that exceeded the maximum permitted limits. Such findings could help local and national government authorities, people living and transiting near the river, and activities related to the use of the water in this river; since the quality of the river water can be lethal if the necessary measures are not taken. In addition, the method used in this study showed to be very practical and efficient during its application. Finally, it is advised that future research investigate each point along the Mantaro River and show the areas where the disaster had the most impact to develop some mitigating techniques.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=11928},
   doi = {10.18517/ijaseit.11.3.11928}
}

EndNote

%A Delgado, Alexi
%A Gil, Francisco
%A Chullunquía, Juan
%A Valdivia, Tom
%A Carbajal, Chiara
%D 2021
%T Water Quality Analysis in Mantaro River, Peru, Before and After the Tailing’s Accident Using the Grey Clustering Method
%B 2021
%9 Environmental accident; grey clustering method; Mantaro river; mining project; water quality.
%! Water Quality Analysis in Mantaro River, Peru, Before and After the Tailing’s Accident Using the Grey Clustering Method
%K Environmental accident; grey clustering method; Mantaro river; mining project; water quality.
%X Problems with environmental accidents are increasing worldwide, which generates great damage to the environment. In fact, in July 2019, a tailing spill occurred that flowed into the Mantaro River, contaminating it with thousands of liters of waste. This had environmental consequences and social ones since there were people for and against mining, which is the principal economic activity in the area. In this way, this study proposes to quantify the damage caused by the tailing spill using the grey clustering method, which is based on grey systems theory. For this purpose, two sampling points were chosen for data collection and evaluation both before and after the accident, which allowed to measure the impact of metal concentrations and other physical-chemical parameters caused by accident. The results obtained from the study revealed increases in the concentration levels of metals such as aluminum, arsenic, among others, in some cases very high that exceeded the maximum permitted limits. Such findings could help local and national government authorities, people living and transiting near the river, and activities related to the use of the water in this river; since the quality of the river water can be lethal if the necessary measures are not taken. In addition, the method used in this study showed to be very practical and efficient during its application. Finally, it is advised that future research investigate each point along the Mantaro River and show the areas where the disaster had the most impact to develop some mitigating techniques.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=11928
%R doi:10.18517/ijaseit.11.3.11928
%J International Journal on Advanced Science, Engineering and Information Technology
%V 11
%N 3
%@ 2088-5334

IEEE

Alexi Delgado,Francisco Gil,Juan Chullunquía,Tom Valdivia and Chiara Carbajal,"Water Quality Analysis in Mantaro River, Peru, Before and After the Tailing’s Accident Using the Grey Clustering Method," International Journal on Advanced Science, Engineering and Information Technology, vol. 11, no. 3, pp. 917-922, 2021. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.11.3.11928.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Delgado, Alexi
AU  - Gil, Francisco
AU  - Chullunquía, Juan
AU  - Valdivia, Tom
AU  - Carbajal, Chiara
PY  - 2021
TI  - Water Quality Analysis in Mantaro River, Peru, Before and After the Tailing’s Accident Using the Grey Clustering Method
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 11 (2021) No. 3
Y2  - 2021
SP  - 917
EP  - 922
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - Environmental accident; grey clustering method; Mantaro river; mining project; water quality.
N2  - Problems with environmental accidents are increasing worldwide, which generates great damage to the environment. In fact, in July 2019, a tailing spill occurred that flowed into the Mantaro River, contaminating it with thousands of liters of waste. This had environmental consequences and social ones since there were people for and against mining, which is the principal economic activity in the area. In this way, this study proposes to quantify the damage caused by the tailing spill using the grey clustering method, which is based on grey systems theory. For this purpose, two sampling points were chosen for data collection and evaluation both before and after the accident, which allowed to measure the impact of metal concentrations and other physical-chemical parameters caused by accident. The results obtained from the study revealed increases in the concentration levels of metals such as aluminum, arsenic, among others, in some cases very high that exceeded the maximum permitted limits. Such findings could help local and national government authorities, people living and transiting near the river, and activities related to the use of the water in this river; since the quality of the river water can be lethal if the necessary measures are not taken. In addition, the method used in this study showed to be very practical and efficient during its application. Finally, it is advised that future research investigate each point along the Mantaro River and show the areas where the disaster had the most impact to develop some mitigating techniques.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=11928
DO  - 10.18517/ijaseit.11.3.11928

RefWorks

RT Journal Article
ID 11928
A1 Delgado, Alexi
A1 Gil, Francisco
A1 Chullunquía, Juan
A1 Valdivia, Tom
A1 Carbajal, Chiara
T1 Water Quality Analysis in Mantaro River, Peru, Before and After the Tailing’s Accident Using the Grey Clustering Method
JF International Journal on Advanced Science, Engineering and Information Technology
VO 11
IS 3
YR 2021
SP 917
OP 922
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 Environmental accident; grey clustering method; Mantaro river; mining project; water quality.
AB Problems with environmental accidents are increasing worldwide, which generates great damage to the environment. In fact, in July 2019, a tailing spill occurred that flowed into the Mantaro River, contaminating it with thousands of liters of waste. This had environmental consequences and social ones since there were people for and against mining, which is the principal economic activity in the area. In this way, this study proposes to quantify the damage caused by the tailing spill using the grey clustering method, which is based on grey systems theory. For this purpose, two sampling points were chosen for data collection and evaluation both before and after the accident, which allowed to measure the impact of metal concentrations and other physical-chemical parameters caused by accident. The results obtained from the study revealed increases in the concentration levels of metals such as aluminum, arsenic, among others, in some cases very high that exceeded the maximum permitted limits. Such findings could help local and national government authorities, people living and transiting near the river, and activities related to the use of the water in this river; since the quality of the river water can be lethal if the necessary measures are not taken. In addition, the method used in this study showed to be very practical and efficient during its application. Finally, it is advised that future research investigate each point along the Mantaro River and show the areas where the disaster had the most impact to develop some mitigating techniques.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=11928
DO  - 10.18517/ijaseit.11.3.11928