Coastal Water Quality Impact of Stormwater Runoff from an Urban Watershed in Southern California

2005 ◽  
Vol 39 (16) ◽  
pp. 5940-5953 ◽  
Author(s):  
Jong Ho Ahn ◽  
Stanley B. Grant ◽  
Cristiane Q. Surbeck ◽  
Paul M. DiGiacomo ◽  
Nikolay P. Nezlin ◽  
...  
2006 ◽  
Vol 40 (10) ◽  
pp. 3441-3442
Author(s):  
Stanley B. Grant ◽  
Jong H. Ahn ◽  
Cristiane Q. Surbeck ◽  
Sunny C. Jiang ◽  
Nikolay P. Nezlin ◽  
...  

2011 ◽  
Vol 83 (12) ◽  
pp. 2121-2130 ◽  
Author(s):  
Ryan H. Dwight ◽  
Joshua S. Caplan ◽  
Mitchell V. Brinks ◽  
Sandra N. Catlin ◽  
Guido Buescher ◽  
...  

2020 ◽  
Vol 39 ◽  
pp. 101392
Author(s):  
Subramani Thirunavukkarasu ◽  
Rajkumar Vasanthi ◽  
Gunasagaran Karunasagaran ◽  
Natesan Munuswamy

Author(s):  
Hiroshi Yoshioka ◽  
Tomotsuka Takayama ◽  
Yoshitaka Tanabe ◽  
Nobuaki Shiraishi

2017 ◽  
Vol 49 (1) ◽  
pp. 73 ◽  
Author(s):  
Teguh Hariyanto ◽  
Trismono C. Krisna ◽  
Khomsin Khomsin ◽  
Cherie Bhekti Pribadi ◽  
Nadjadji Anwar

The decrease of coastal-water quality in the Surabaya coastal region can be recognized from the conceentration of Total Suspended Sediment(TSS ) . As a result we need a system for monitoring sediment concentration in the coastal region of Surabaya which regularly measures TSS. The principle to model and monitor TSSconcentration using remote sensing methods is by the integration of Landsat-8OLI satellites image processing using some ofTSS-models then those are analyzed for looking its suitability with TSS value direcly measured in the field ( in-situ measurement). The TSS value modeled from all algorithms validated usingcorrelation analysis and linear regression . The result shows that TSS model with the highest correlation value is TSS algorithm by Budiman (2004)with r value 0.991. Hence this algorithm can be used to investigate TSS-distribution which represent the coastal water quality of Surabaya with TSS value between 75 mg/L to 125 mg/L.


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