scholarly journals Ecological assessment of East Hammar marsh, Iraq using a number of ecological guides

2017 ◽  
Vol 26 (2) ◽  
pp. 11-22
Author(s):  
Abdul-Razak Abdul-Razak

The ecological status of the East Hammar marsh was evaluated by using a number of ecological guides: water quality index (WQI), Carlson trophic state index (TSI) and fish integrated biological index (F-IBI) during the period from November 2012 to October 2013. The results revealed that the annual value of WQI varied from 51.1 (marginal) for historical data before desiccation to 67.8 (fair) for data after inundation. The marsh was evaluated to be mesotrophic (TSI= 42.0). IBI scores were calculated from 16 separate assemblage metrics based on the fish species richness, species composition and trophic guilds. The ecological status of the marsh was found to be fair (F-IBI= 47.7) and was slightly better than the status of the marsh after 2-4 years of restoration activities. The rather low improvement in the situation of the marsh indicates that the environment is still fragile and requires the allocation of water share from the Tigris and Euphrates rivers to restore marsh normality.

2018 ◽  
Author(s):  
Kadria M.A. Mahmoud ◽  
Sara S.M. Sayed ◽  
Mohamed R. Habib

AbstractBiological assessment is considered a useful tool for assessing the ecological status of the aquatic ecosystems. Therefore, the goal of the present study was to use phytoplankton and macroinvertebrates as biological tools for ecological assessment of the River Nile around Gizert El-Warrak. A total of 33 phytoplankton species identified in the studied stations; these include 16 species of Chlorophyta, 5 species of Cyanophyta and 12 species of Bacillariophyta. All investigated stations characterized by high organic pollution according to Palmer′s index. Trophic state index showed a hyper-eutrophic status in stations S1, S2, S4, S6 and S8 and an eutrophic status in stations S3, S5 and S7.Gastropoda and Oligochaeta were the most dominant of macroinvertebrates taxa recorded 50.8 and 24.6%, respectively. Diversity Index (H′) ranged (1.14 – 2) which indicated that the structure of macroinvertebrates habitat was poor. Also, Evenness Index (J) ranged (0.016 – 0.043) which indicated that individuals were not distributed equally. The values of biotic index depending on macroinvertebrates categories showed that the River Nile’s water quality is fairly poor with significant organic pollution.Summary statementBioassessment based on non-taxonomic measurements of algae and biotic indices of macroinvertebrates may be considered as vital methods that reflect disturbances in aquatic systems for both short-term and long-term.


2017 ◽  
Vol 37 (1) ◽  
pp. 09
Author(s):  
Maria Magaly Heidenreich Silva Bucci ◽  
Luiz Fernando Cappa de Oliveira

Dr. João Penido dam is the main reservoir for water supply of Juiz de Fora (MG). The forms of land use and occupation have produced negative impacts on the aquatic ecosystem. The general objective of this study was to assess the anthropogenic impact on water quality of the watershed. To this was done to characterize the quality of its waters and the parameters measured were compared with CONAMA Resolution 357/2005. It was also calculated the Water Quality Index (WQI) and the Trophic State Index (TSI). The monitoring tool has proved essential in actions involving preservation of the watershed.


Author(s):  
Ahmad Muhtadi ◽  
Hesty Wahyuningsih ◽  
Natasya Zaharuddin ◽  
Aniliza Sihaloho

Danau Kelapa Gading (DKG) merupakan danau buatan yang terdapat di Kota Kisaran Provinsi Sumatera Utara. Danau ini berfungsi sebagai resapan air, tempat rekreasi, pemancingan dan pemeliharaan ikan baik di keramba maupun di dalam danau itu sendiri. Penelitian ini dilakukan dengan tujuan mengetahui a) kondisi kualitas air, b) mengetahui status mutu air, dan c) mengetahui tingkat kesuburan perairan DKG. Penelitian dilakukan pada Bulan Februari-April 2016. Metode yang digunakan untuk mengetahui kondisi kualitas air adalah mengukur parameter fisika-kimia dan dibandingkan dengan Baku Mutu PP N0. 82 tahun 2001. Metode penentuan status mutu air adalah metode storet. Metode untuk penentuan kesuburan adalah membandingkan baku mutu status trofik berdasarkan PerMenLH No. 28 tahun 2009 dan metode Trophic State Index/TSI. Kondisi kualitas air DKG dari hasil pengukuran didapatkan bahwa telah terjadi pencemar organik dan kotoran manusia, seperti terlihat dari nilai BOD dan Total Coliform yang telah melewati baku mutu menurut PP No 82 tahun 2001 pada kelas III dan II. Bahkan pada kelas II parameter TSS dan Fosfat juga telah melewati baku mutu yang ditetapkan. Status mutu air DKG adalah tercemar sedang untuk kelas II (dengan skor rata-rata -29) dan tercemar ringan (skor rata-rata -10) untuk kelas III. Tingkat kesuburan perairan DKG termasuk eutrofik berat dengan nilai TSI 72,71 - 79,21. The Lake of Kelapa Gading (DKG) is an artificial lake located in the City of Kisaran, North Sumatra. This lake serves as water absorption, recreation, fishing and captivity of fish both in cages and inside the lake itself. This research was conducted with the aim of studying a) the condition of water quality, b) the status of water quality, and c) the level of DKG water fertility. The study was conducted from February to April 2016. The method used to determine the condition of water quality is to measure the physico-chemical parameters and compared with Quality Standards regulation of PP No. 82 2001. The method of determining the status of water quality is the storet method. The method of determining fertility is to compare trofik status quality standards based on regulation of PerMenLH No. 28 2009 and the method of Trofik State Index/TSI. DKG water quality conditions from the measurement results showed that organic pollutants and human excreta had occurred, as seen from the values of BOD and Total Coliform which had passed quality standards according to the regulation of PP No. 82 2001 in class III and II. Even in class II, the TSS and Phosphate parameters have also passed the specified quality standard. The status of DKG water quality is moderately polluted for class II (with an average score of -29) and lightly polluted (average score of -10) for class III. DKG waters fertility levels included heavy eutrophic with TSI values of 72.71 to 79.21.


2018 ◽  
Vol 40 ◽  
pp. 58
Author(s):  
Neemias Muniz de Souza ◽  
Wanderson Pedro de Oliveira Carvalho Araújo ◽  
Eduardo Henrique Costa Rodrigues ◽  
Maria Raimunda Chagas Silva

2017 ◽  
Vol 19 (2) ◽  
pp. 113
Author(s):  
Kusuma Wardani Laksitaningrum ◽  
Wirastuti Widyatmanti

<p align="center"><strong>ABSTRAK</strong></p><p class="abstrak">Waduk Gajah Mungkur (WGM) adalah bendungan buatan yang memiliki luas genangan maksimum 8800 ha, terletak di Desa Pokoh Kidul, Kecamatan Wonogiri, Kabupaten Wonogiri. Kondisi perairan WGM dipengaruhi oleh faktor klimatologis, fisik, dan aktivitas manusia yang dapat menyumbang nutrisi sehingga mempengaruhi status trofiknya. Tujuan dari penelitian ini adalah mengkaji kemampuan citra Landsat 8 OLI untuk memperoleh parameter-parameter yang digunakan untuk menilai status trofik, menentukan dan memetakan status trofik yang diperoleh dari citra Landsat 8 OLI, dan mengevaluasi hasil pemetaan dan manfaat citra penginderaan jauh untuk identifikasi status trofik WGM. Identifikasi status trofik dilakukan berdasarkan metode <em>Trophic State Index</em> (TSI) Carlson (1997) menggunakan tiga parameter yaitu kejernihan air, total fosfor, dan klorofil-a. Model yang diperoleh berdasar pada rumus empiris dari hasil uji regresi antara pengukuran di lapangan dan nilai piksel di citra Landsat 8 OLI. Model dipilih berdasarkan nilai koefisien determinasi (R<sup>2</sup>) tertinggi. Hasil penelitian merepresentasikan bahwa nilai R<sup>2</sup> kejernihan air sebesar 0,813, total fosfor sebesar 0,268, dan klorofil-a sebesar 0,584. Apabila nilai R<sup>2 </sup>mendekati 1, maka semakin baik model regresi dapat menjelaskan suatu parameter status trofik. Berdasarkan hasil kalkulasi diperoleh distribusi yang terdiri dari kelas eutrofik ringan, eutrofik sedang, dan eutrofik berat yaitu pada rentang nilai indeks 50,051 – 80,180. Distribusi terbesar adalah eutrofik sedang. Hal tersebut menunjukkan tingkat kesuburan perairan yang tinggi dan dapat membahayakan makhluk hidup lain.</p><p><strong>Kata kunci: </strong>Waduk Gajah Mungkur, citra Landsat 8 OLI, regresi, TSI, status trofik</p><p class="judulABS"><strong>ABSTRACT</strong></p><p class="Abstrakeng">Gajah Mungkur Reservoir is an artificial dam that has a maximum inundated areas of 8800 ha, located in Pokoh Kidul Village, Wonogiri Regency. The reservoir’s water conditions are affected by climatological and physical factors, as well as human activities that can contribute to nutrients that affect its trophic state. This study aimed to assess the Landsat 8 OLI capabilities to obtain parameters that are used to determine its trophic state, identifying and mapping the trophic state based on parameters derived from Landsat 8 OLI, and evaluating the results of the mapping and the benefits of remote sensing imagery for identification of its trophic state. Identification of trophic state is based on Trophic State Index (TSI) Carlson (1997), which uses three parameters there are water clarity, total phosphorus, and chlorophyll-a. The model is based on an empirical formula of regression between measurements in the field and the pixel values in Landsat 8 OLI. Model is selected on the highest value towards coefficient of determination (R<sup>2</sup>). The results represented that R<sup>2</sup> of water clarity is 0.813, total phosphorus is 0.268, and chlorophyll-a is 0.584. If R<sup>2</sup> close to 1, regression model will describe the parameters of the trophic state better. Based on the calculation the distribution consists of mild eutrophic, moderate eutrophic, and heavy eutrophic that has index values from 50.051 to 80.18. The most distribution is moderate eutrophication, and it showed the high level of trophic state and may harm other living beings.</p><p><strong><em>Keywords: </em></strong><em>Gajah Mungkur Reservoir, </em><em>L</em><em>andsat 8 OLI satellite imagery, regression, TSI, trophic state</em></p>


Water ◽  
2021 ◽  
Vol 13 (15) ◽  
pp. 2117
Author(s):  
Su-mi Kim ◽  
Hyun-su Kim

The variations in water quality parameters and trophic status of a multipurpose reservoir in response to changing intensity of monsoon rain was investigated by applying a trophic state index deviation (TSID) analysis and an empirical regression model to the data collected in two periods from 2014 to 2017. The reservoir in general maintained mesotrophic conditions, and Carlson’s trophic state index (TSIc) was affected most by TSITP. Nutrient concentrations, particularly phosphorus, did not show strong correlations with precipitation, particularly in the period with weak monsoon, and a significant increase in total phosphorus (TP) was observed in Spring 2015, indicating the possibility of internal phosphorus loading under decreased depth and stability of water body due to a lack of precipitation. TSIChl was higher than TSISD in most data in period 1 when a negligible increase in precipitation was observed in the monsoon season while a significant fraction in period 2 showed the opposite trend. Phytoplankton growth was not limited by nutrient limitation although nutrient ratios (N/P) of most samples were significantly higher than 20, indicating phosphorus-limited condition. TSID and regression analysis indicated that phytoplankton growth was limited by zooplankton grazing in the Spring, and that cell concentrations and community structure in the monsoon and post-monsoon season were controlled by the changing intensity of the monsoon, as evidenced by the positive and negative relationships between community size and cyanobacterial population with the amount of precipitation in the Summer, respectively. The possibility of contribution from internal loading and an increase in cyanobacterial population associated with weak monsoon, in addition to potential for nutrient enrichment in the post-monsoon season, implies a need for the application of more stringent water quality management in the reservoir that can handle all potential scenarios of eutrophication.


2021 ◽  
Vol 13 (10) ◽  
pp. 1988
Author(s):  
Minqi Hu ◽  
Ronghua Ma ◽  
Zhigang Cao ◽  
Junfeng Xiong ◽  
Kun Xue

Remote monitoring of trophic state for inland waters is a hotspot of water quality studies worldwide. However, the complex optical properties of inland waters limit the potential of algorithms. This research aims to develop an algorithm to estimate the trophic state in inland waters. First, the turbid water index was applied for the determination of optical water types on each pixel, and water bodies are divided into two categories: algae-dominated water (Type I) and turbid water (Type II). The algal biomass index (ABI) was then established based on water classification to derive the trophic state index (TSI) proposed by Carlson (1977). The results showed a considerable precision in Type I water (R2 = 0.62, N = 282) and Type II water (R2 = 0.57, N = 132). The ABI-derived TSI outperformed several band-ratio algorithms and a machine learning method (RMSE = 4.08, MRE = 5.46%, MAE = 3.14, NSE = 0.64). Such a model was employed to generate the trophic state index of 146 lakes (> 10 km2) in eastern China from 2013 to 2020 using Landsat-8 surface reflectance data. The number of hypertrophic and oligotrophic lakes decreased from 45.89% to 21.92% and 4.11% to 1.37%, respectively, while the number of mesotrophic and eutrophic lakes increased from 12.33% to 23.97% and 37.67% to 52.74%. The annual mean TSI for the lakes in the lower reaches of the Yangtze River basin was higher than that in the middle reaches of the Yangtze River and Huai River basin. The retrieval algorithm illustrated the applicability to other sensors with an overall accuracy of 83.27% for moderate-resolution imaging spectroradiometer (MODIS) and 82.92% for Sentinel-3 OLCI sensor, demonstrating the potential for high-frequency observation and large-scale simulation capability. Our study can provide an effective trophic state assessment and support inland water management.


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