TY - GEN
T1 - Analysis of Consentration of Total Suspended Solid (TSS) in Porong Sidoarjo River Waters
AU - Hariyanto, Teguh
AU - Pribadi, Cherie Bhekti
AU - Kurniawan, Akbar
AU - Sukojo, Bangun Mulyo
AU - Taufik, Muhammad
AU - Indeswari, Luki
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/11/8
Y1 - 2018/11/8
N2 - Porong River is Lapindo mud disposal area that has occurred since 2006 until now. Lapindo Mud river flow into the Porong River has caused higher sedimentation Mud in Porong River. Therefore, observation of TSS (Total Suspended Solid) distribution is needed to know the air quality in the waters. In this research, observation of TSS distribution is done by using remote sensing method by utilizing Landsat 7 Satellite Imagery 7 year 2000, and Landsat 8 in 2013, 2014, 2015, 2016, and 2017, and in situ data in the form of 20 air samples. Landsat-8 L1T satellite image data in 2017 was processed using 5 TSS algorithms namely Syarif Budiman Algorithm (2004), Parwati Algorithm (2006), Guzman Santaella Algorithm (2009), Nurahida Laili Algorithm (2015), and Jaelani Algorithm (2016). From result of data processing using Algorithm Budhiman (2004), with Normalized Mean Error (NMAE) equal to 19,53%, that value proves that TSS Algoritma Budhiman (2004) is the most appropriate algorithm to explain the condition of TSS constellation in the dimensions of the Porong River Estuary, the algorithm is applied to apply other years of Landsat data. The result of TSS concentration in the waters Porong River which has the highest value of TSS between 11,52 mg / Lt 92,16 mg / L. According to the Decree of the Minister of the Environment. 51 of 2004 on Marine Water Quality Standard for Marine Biota, sea water quality standard for TSS parameter is 80 mg / L meaning in year 2013, and in year 2014 at estuary of Porong River can be said not good because difference of standard quality which have specified.
AB - Porong River is Lapindo mud disposal area that has occurred since 2006 until now. Lapindo Mud river flow into the Porong River has caused higher sedimentation Mud in Porong River. Therefore, observation of TSS (Total Suspended Solid) distribution is needed to know the air quality in the waters. In this research, observation of TSS distribution is done by using remote sensing method by utilizing Landsat 7 Satellite Imagery 7 year 2000, and Landsat 8 in 2013, 2014, 2015, 2016, and 2017, and in situ data in the form of 20 air samples. Landsat-8 L1T satellite image data in 2017 was processed using 5 TSS algorithms namely Syarif Budiman Algorithm (2004), Parwati Algorithm (2006), Guzman Santaella Algorithm (2009), Nurahida Laili Algorithm (2015), and Jaelani Algorithm (2016). From result of data processing using Algorithm Budhiman (2004), with Normalized Mean Error (NMAE) equal to 19,53%, that value proves that TSS Algoritma Budhiman (2004) is the most appropriate algorithm to explain the condition of TSS constellation in the dimensions of the Porong River Estuary, the algorithm is applied to apply other years of Landsat data. The result of TSS concentration in the waters Porong River which has the highest value of TSS between 11,52 mg / Lt 92,16 mg / L. According to the Decree of the Minister of the Environment. 51 of 2004 on Marine Water Quality Standard for Marine Biota, sea water quality standard for TSS parameter is 80 mg / L meaning in year 2013, and in year 2014 at estuary of Porong River can be said not good because difference of standard quality which have specified.
KW - Porong River
KW - TSS
KW - TSS Algorithm
UR - http://www.scopus.com/inward/record.url?scp=85058523500&partnerID=8YFLogxK
U2 - 10.1109/ICSTC.2018.8528592
DO - 10.1109/ICSTC.2018.8528592
M3 - Conference contribution
AN - SCOPUS:85058523500
T3 - Proceedings - 2018 4th International Conference on Science and Technology, ICST 2018
BT - Proceedings - 2018 4th International Conference on Science and Technology, ICST 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Science and Technology, ICST 2018
Y2 - 7 August 2018 through 8 August 2018
ER -