Water Quality Analysis of Remote Sensing Images Based on Inversion Model

2018 ◽  
Author(s):  
Jinzhe Wang ◽  
Junping Zhang ◽  
Tong Li ◽  
Xiao Wang
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Quality Analysis ◽  
Remote Sensing Images ◽  
Water Quality Analysis ◽  
Inversion Model

scholarly journals Inland Reservoir Water Quality Inversion and Eutrophication Evaluation Using BP Neural Network and Remote Sensing Imagery: A Case Study of Dashahe Reservoir

Water ◽  
2021 ◽  
Vol 13 (20) ◽  
pp. 2844
Author(s):  
Yanhu He ◽  
Zhenjie Gong ◽  
Yanhui Zheng ◽  
Yuanbo Zhang
Keyword(s):  
Neural Network ◽  
Remote Sensing ◽  
Water Quality ◽  
Bp Neural Network ◽  
Quality Parameters ◽  
Remote Sensing Images ◽  
Linear Inversion ◽  
Reservoir Water ◽  
Chl A ◽  
Inversion Model

In this study, an inland reservoir water quality parameters’ inversion model was developed using a back propagation (BP) neural network to conduct reservoir eutrophication evaluation, according to multi-temporal remote sensing images and field observations. The inversion model based on the BP neural network (the BP inversion model) was applied to a large inland reservoir in Jiangmen city, South China, according to the field observations of five water quality parameters, namely, Chlorophyl-a (Chl-a), Secchi Depth (SD), total phosphorus (TP), total nitrogen (TN), and Permanganate of Chemical Oxygen Demand (CODMn), and twelve periods of Landsat8 satellite remote sensing images. The reservoir eutrophication was evaluated. The accuracy of the BP inversion model for each water parameter was compared with that of the linear inversion model, and the BP inversion models of two parameters (i.e., Chl-a and CODMn) with larger fluctuation range were superior to the two multiple linear inversion models due to the ability of improving the generalization of the BP neural network. The Dashahe Reservoir was basically in the state of mesotrophication and light eutrophication. The area of light eutrophication accounted for larger proportions in spring and autumn, and the reservoir inflow was the main source of nutrient salts.

STUDI PERBANDINGAN KUALITAS AIR BERSIH DALAM KAITANYA DENGAN AKTIVITAS MASYARAKAT DI SEKITAR SUMBER AIR PADA DESA WAINITU, BATUMERAH, AMAHUSU, DAN HALONG

2017 ◽  
Vol 13 (2) ◽  
pp. 111-119
Author(s):  
Lela Uyara ◽  
Pieter Kunu ◽  
Silwanus M Talakua
Keyword(s):  
Water Quality ◽  
Quality Standard ◽  
Total Coliform ◽  
Quality Analysis ◽  
Clean Water ◽  
Water Quality Analysis ◽  
E Coli ◽  
Microbiological Parameters ◽  
Standard Quality

The study aims to determine the quality of clean water in the villages of Wainitu, Batumerah, Amahusu and Halong by comparing the result of water quality analysis with water quality standard. Water quality analysis includes Physiscal, Chemical, and Microbiological parameters. This research uses descriptive method, this method describes systematics, accurate about facts and characteristic of the quality of clean water of each research location. The results showed that the source of clean water in the village of Batumerah did not meet the standard of clean water quality standards indicated by the number of E. coli and the high total coliform.  Keywords: standard quality of clean water, water quality, Wainitu, Batumerah, Amahusu and Halong villages   ABSTRAK Penelitian yang bertujuan untuk menetapkan kualitas air bersih di Desa Wainitu, Batumerah, Amahusu dan Halong, dengan membandingkan hasil analisis kualitas air dengan standar baku mutu air bersih. Analisis kualitas air meliputi parameter fisika, kimia dan mikrobiologi. Penelitian ini menggunakan metode deskriptif; metode ini menggambarkan sicara sistematis, akurat, fakta dan karakteristik mengenai kualitas air bersih di masing-masing lokasi penelitian. Hasil penelitian menunjukkan bahwa sumber air bersih di Desa Batumerah tidak memenuhi standar baku mutu air bersih yang ditunjukkan oleh jumlah E. coli dan total Koliform yang tinggi. Kata Kunci: baku mutu air bersih, Desa Wainitu, Batumerah, Amahusu dan Halong, kualitas air

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