scholarly journals ESTIMASI PRODUKTIVITAS PRIMER PERAIRAN BERDASARKAN KONSENTRASI KLOROFIL-A YANG DIEKSTRAK DARI CITRA SATELIT LANDSAT-8 DI PERAIRAN KEPULAUAN KARIMUN JAWA

Author(s):  
Mulkan Nuzapril ◽  
Setyo Budi Susilo ◽  
James Parlindungan Panjaitan

Sea primary productivity is an important factor in monitoring the quality of sea waters due to his role in the carbon cycle and the food chain for heterotrophic organisms. Estimation of sea primary productivity may be suspected through the values of chlorophyll-a concentration, but surface chlorophyll-a concentration was only able to explain 30% of the primary productivity of the sea. This research aims to build primary productivity estimation model based on chlorophyll-a concentration value of a surface layer of depth until depth compensation. Primary productivity model of relationships with chlorophyll concentration were extracted from Landsat-8 imagery then it could be used to calculated of sea primary productivity. The determination of the depth classification were done by measuring the attenuation coefficient values using the luxmeter underwater datalogger 2000 and secchi disk. The attenuation coefficient values by the luxmeter underwater, ranges between of 0.13-0.21 m-1 and secchi disk ranged, of 0.12 – 0.21 m-1. The penetration of light that through into the water column where  primary productivity is still in progress or where the depth of compensation ranged from 28.75 – 30.67 m. The simple linier regression model between average value of chlorophyll- concentration in all euphotic zone with sea primary productivity has high correlation, it greater than of surface chlorophyll-a concentration (R2 = 0.65). Model validation of sea primary productivity has high accuracy with the RMSD value of 0.09 and satellite-derived sea primary productivity were not significantly different. The satellite derived of chlorophyll-a could be calculated into sea primary productivity.Abstrak Produktivitas primer perairan merupakan faktor penting dalam pemantauan kualitas perairan laut karena berperan dalam siklus karbon dan rantai makanan bagi organisme heterotrof. Estimasi produktivitas primer perairan dapat diduga melalui nilai konsentrasi klorofil-a, namun konsentrasi klorofil-a permukaan laut hanya mampu menjelaskan 30% produktivitas primer laut. Penelitian ini bertujuan untuk membangun model estimasi produktivitas primer berdasarkan nilai konsentrasi klorofil-a dari lapisan kedalaman permukaan sampai kedalaman kompensasi. Model hubungan produktivitas primer dengan konsentrasi klorofil-a yang diekstrak dari citra satelit Landsat-8 kemudian dapat digunakan untuk mengestimasi produktivitas primer satelit. Penentuan klasifikasi kedalaman dilakukan dengan mengukur nilai koefisien atenuasi menggunakan luxmeter underwater datalogger 2000  dan secchi disk. Nilai koefisien atenuasi dengan menggunakan luxmeter underwater berkisar antara 0,13 -0,21m-1 dan secchi disk berkisar antara 0,12 – 0,21 m-1. Penetrasi cahaya yang masuk ke kolom perairan dimana produksi primer masih berlangsung atau kedalaman kompensasi berkisar antara 28,75 – 30,67 m. Model regresi linier sederhana antara konsentrasi klorofil-a rata-rata seluruh zona eufotik dengan produktivitas primer perairan memiliki korelasi yang lebih tinggi dibandingkan konsentrasi klorofil-a permukaan dengan R2= 0,65. Validasi model produktivitas primer memiliki keakuratan yang tinggi dengan RMSD sebesar 0,09 dan produktivitas primer satelit secara signifikan tidak berbeda nyata dengan produktivitas primer data insitu. Sehingga  nilai konsentrasi klorofil-a satelit dapat ditransformasi menjadi produktivitas primer satelit.

Author(s):  
Yuequn Lai ◽  
Jing Zhang ◽  
Yongyu Song ◽  
Zhaoning Gong

Remote sensing retrieval is an important technology for studying water eutrophication. In this study, Guanting Reservoir with the main water supply function of Beijing was selected as the research object. Based on the measured data in 2016, 2017, and 2019, and Landsat-8 remote sensing images, the concentration and distribution of chlorophyll-a in the Guanting Reservoir were inversed. We analyzed the changes in chlorophyll-a concentration of the reservoir in Beijing and the reasons and effects. Although the concentration of chlorophyll-a in the Guanting Reservoir decreased gradually, it may still increase. The amount and stability of water storage, chlorophyll-a concentration of the supply water, and nitrogen and phosphorus concentration change are important factors affecting the chlorophyll-a concentration of the reservoir. We also found a strong correlation between the pixel values of adjacent reservoirs in the same image, so the chlorophyll-a estimation model can be applied to each other.


2021 ◽  
Vol 58 (8) ◽  
pp. 0828002
Author(s):  
彭咏石 Peng Yongshi ◽  
陈水森 Chen Shuisen ◽  
陈金月 Chen Jinyue ◽  
赵晶 Zhao Jing ◽  
王重洋 Wang Chongyang ◽  
...  

2018 ◽  
Vol 4 (1) ◽  
Author(s):  
Wasir Samad Daming ◽  
Muhammad Anshar Amran ◽  
Amir Hamzah Muhiddin ◽  
Rahmadi Tambaru

Surface chlorophyll-a (Chl-a) distribution have been analyzed with seasonal variation during southeast monsoon in southern part of Makassar Strait and Flores Sea. Satellite data of Landsat-8 is applied to this study to formulate the distribution of chlorophyll concentration during monsoonal wind period. The distribution of chlorophyll concentration was normally peaked condition in August during southeast monsoon. Satellite data showed that a slowdown in the rise of the distribution of chlorophyll in September with a lower concentration than normal is likely due to a weakening the strength of southeast trade winds during June – July – August 2016. Further analysis shows that the southern part of the Makassar strait is likely occurrence of upwelling characterized by increase in surface chlorophyll concentrations were identified as the potential area of fishing ground.


Author(s):  
A. Manuel ◽  
A. C. Blanco ◽  
A. M. Tamondong ◽  
R. Jalbuena ◽  
O. Cabrera ◽  
...  

Abstract. Laguna Lake, the Philippines’ largest freshwater lake, has always been historically, economically, and ecologically significant to the people living near it. However, as it lies at the center of urban development in Metro Manila, it suffers from water quality degradation. Water quality sampling by current field methods is not enough to assess the spatial and temporal variations of water quality in the lake. Regular water quality monitoring is advised, and remote sensing addresses the need for a synchronized and frequent observation and provides an efficient way to obtain bio-optical water quality parameters. Optimization of bio-optical models is done as local parameters change regionally and seasonally, thus requiring calibration. Field spectral measurements and in-situ water quality data taken during simultaneous satellite overpass were used to calibrate the bio-optical modelling tool WASI-2D to get estimates of chlorophyll-a concentration from the corresponding Landsat-8 images. The initial output values for chlorophyll-a concentration, which ranges from 10–40 μg/L, has an RMSE of up to 10 μg/L when compared with in situ data. Further refinements in the initial and constant parameters of the model resulted in an improved chlorophyll-a concentration retrieval from the Landsat-8 images. The outputs provided a chlorophyll-a concentration range from 5–12 μg/L, well within the usual range of measured values in the lake, with an RMSE of 2.28 μg/L compared to in situ data.


2017 ◽  
Vol 49 (5) ◽  
pp. 1608-1617 ◽  
Author(s):  
Matias Bonansea ◽  
Claudia Rodriguez ◽  
Lucio Pinotti

Abstract Landsat satellites, 5 and 7, have significant potential for estimating several water quality parameters, but to our knowledge, there are few investigations which integrate these earlier sensors with the newest and improved mission of Landsat 8 satellite. Thus, the comparability of water quality assessing across different Landsat sensors needs to be evaluated. The main objective of this study was to assess the feasibility of integrating Landsat sensors to estimate chlorophyll-a concentration (Chl-a) in Río Tercero reservoir (Argentina). A general model to retrieve Chl-a was developed (R2 = 0.88). Using observed versus predicted Chl-a values the model was validated (R2 = 0.89) and applied to Landsat imagery obtaining spatial representations of Chl-a in the reservoir. Results showed that Landsat 8 can be combined with Landsat 5 and 7 to construct an empirical model to estimate water quality characteristics, such as Chl-a in a reservoir. As the number of available and upcoming sensors with open access will increase with time, we expect that this trend will certainly further promote remote sensing applications and serve as a valuable basis for a wide range of water quality assessments.


2017 ◽  
Vol 25 (1) ◽  
pp. 75-87 ◽  
Author(s):  
Pulak Priti Patra ◽  
Sourabh Kumar Dubey ◽  
Raman Kumar Trivedi ◽  
Sanjeev Kumar Sahu ◽  
Sangram Keshari Rout

2016 ◽  
Vol 5 (3) ◽  
pp. 150-156
Author(s):  
Wiwi Siti Rohmah ◽  
Suryanti Suryanti ◽  
Max Rudolf Muskananfola

ABSTRAK Waduk Jatibarang merupakan salah satu waduk yang tergolong baru di Kota Semarang. Untuk mencegah terjadinya penurunan kualitas perairan pada waduk dimasa mendatang, penting dilakukan pengukuran tingkat kesuburan perairan waduk secara berkala. Salah satu cara untuk mengetahui tingkat kesuburan perairan waduk yaitu dengan melakukan pengukuran produktivitas primer perairan dan kandungan klorofil-a serta parameter fisika-kimia perairan. Penelitian ini dilakukan pada bulan Februari-Maret 2016 di Waduk Jatibarang Semarang. Tujuan dari Penelitian ini adalah untuk mengetahui nilai produktivitas primer perairan berdasarkan perbedaan kedalaman serta untuk mengetahui pengaruh kedalaman terhadap nilai produktivitas primer perairan di Waduk Jatibarang, Semarang. Metode yang digunakan dalam penelitian ini adalah Deskriptif lokasi sampling, yaitu Stasiun I; Inlet, Stasiun II perairan tengah waduk dan Stasiun III Outlet dalam tiga kali pengulangan dengan rentang waktu satu minggu. Hasil pengukuran produktivitas primer pada ketiga stasiun per kedalaman adalah; kedalaman 0 m berkisar 54,750-90,000 mgC/m3/hari, kedalaman 5 m berkisar 91,500-102,750 mgC/m3/hari, kedalaman 10 m berkisar 39,750-64,500 mgC/m3/hari dan kedalaman 15 m berkisar 20,250-45,5000 mgC/m3/hari. Berdasarkan nilai tersebut maka perairan waduk Jatibarang tergolong sebagai perairan Mesotrofik-Eutrofik. Rata-rata nilai kandungan klorofil-a minggu ke-1 0,6913 mg/m3, minggu ke-2 0,6665mg/m3, dan minggu ke-3 0,4409 mg/m3. Hasil uji regresi sederhana menunjukan terdapat pengaruh variabel kedalaman dan kandungan klorofil-a terhadap produktivitas primer sebesar 51,3%. Kata Kunci : Produktivitas Primer; Klorofil-a; Waduk Jatibarang Semarang  ABSTRACT Jatibarang Reservoir is one of the new reservoirs in Semarang. To prevent the degradation of reservoirs water quality in the future, it is important to measure the dam water fertilization periodically. Like one of the ways to determine the level of fertility of the dam water is by measuring the primary productivity of the water and chlorophyll-a and physic-chemical parameters of the waters. This study was conducted from February to March 2016 in Semarang Jatibarang Reservoir. The aim of this study is to determine the primary productivity of waters based on depth difference and the depth effects on primary productivity of the waters of the Jatibarang reservoir, Semarang. The method used in this study is descriptive method. Sampling locations are station I; Inlet, Station II: middle of reservoir and stations III: Outlet with three repetitions for the period of one week. The results of primary productivity measurements at each stations per depth is; at the depth of 0 m the results ranges from 54.750 to 90.000 mgC/m3/day, at the depth of 5 m from 91.500 to 102.750 mgC/m3/day, at the depth of 10 m from 39.750 to 64.500 mgC/m3/day and at the depth of 15 m from 20.250 to 45.5000 mgC/m3/day. Based on these results, it is concluded that the water of Jatibarang Reservoir is classified as Mesotrofik-eutrophic waters. The average value of chlorophyll-a in the first week is 0.6913 mg/m3, in the 2nd week is 0.6665 mg/m3, and the 3rd week is 0.4409 mg/m3. The results of simple regression test reveals that there is a significant effect of water depth and chlorophyll-a on primary productivity is  51.3%. Keywords: Primary Productivity, Chlorophyll-a, Jatibarang Reservoir Semarang


2009 ◽  
Vol 1 (1) ◽  
Author(s):  
Bisman Nababan

<p>The chlorophyll-specific absorption coefficient at 440 nm (a*<br />ph(440)) of surface water in the Northeastern Gulf of Mexico varied by a factor of 7 (0.02-0.15 m2 mg-1) with the of chlorophyll-a concentration of 0.06-12.25 mg m-3. In general, lower values of a*ph(440) (&lt;0.06 m2 mg-1) were observed in the inshore particularly in the major river mouths. During summer, lower values of a*ph(440) were also observed offshore associated with low-salinity waters of the Mississippi River plume. Higher values of a*ph(440) (&gt;0.1 m2 mg-1) were otherwise observed outside the river plumes in the outer<br />shelf and slope, where lower chlorophyll-a concentration occurred. Based on phytoplankton taxonomic groups, the average value of a*ph(440), of microphytoplankton group was significantly lower than that of nanophytoplankton and picophytoplantkon groups, suggesting that an increase in cell optical size (pigment packaging) resulted in decreasing a*<br />ph(440) values. The relationship between a*ph(440) and chlorophyll-a concentration was also not linear, indicating pigment composition played an important role in determining a*ph(440) variability.</p><p>Keywords: chlorophyll-specific absorption coefficient, microphytoplankton, nanophytoplankton,<br />picophytoplankton, Gulf of Mexico, pigment, packaging effect</p>


2020 ◽  
Vol 27 (5) ◽  
Author(s):  
T. V. Efimova ◽  
T. Ya. Churilova ◽  
E. Yu. Skorokhod ◽  
N. A. Moiseeva ◽  
E. A. Zemlianskaia ◽  
...  

Purpose. The work is aimed at investigating spatial distribution of the chlorophyll a concentration and the spectral light absorption coefficients by all optically active components in the Azov and Black seas in spring, when the seawater hydrophysical structure changes. Methods and Results. The data collected in the 106th scientific cruise of R/V Professor Vodyanitsky in April 19 – May 10, 2019 were used. The chlorophyll a concentration was measured by the spectrophotometric method. The spectral light absorption coefficients were determined in accordance with the NASA protocol 2018. The optical measurements were performed using the dual-beam spectrophotometer Lambda 35 (PerkinElmer). It was shown that in the surface layer of the Black Sea, the chlorophyll a concentration varied from 0.21 to 1.2 mg/m3. At some stations in the deep-water region, the increased values of this parameter were observed in the lower part of the euphotic zone that was associated with the beginning of seasonal water stratification due to the surface water heating. At these stations, the phytoplankton absorption spectra were more smoothed in the lower part of the euphotic zone than those in the upper layer. In the deep-water region, the non-algal particles contribution to the total particulate light absorption at wavelength 438 nm changed with depth from 40 ± 15 % at the surface to 29 ± 12 % near the bottom of the euphotic zone; whereas in the coastal waters this parameter was almost unchangeable within the water column (54 ± 11 %). No significant change of the colored dissolved organic matter contribution to the total light absorption with depth was revealed (69% on average). In the Sea of Azov, vertical distribution both of the chlorophyll a concentration (6.2 mg/m3 on average) and the spectral light absorption coefficients by all the optically active components was uniform. The non-algal particles contribution to the particulate light absorption was 40 ± 14 %, and the colored dissolved organic matter contribution to the total light absorption constituted 52 ± 6 %. Conclusions. New data on spatial distribution of the chlorophyll a concentration and the spectral light absorption coefficients by the optically active components in the Black and Azov seas were obtained for the spring period when the seawater hydrophysical characteristics changed.


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