Padatan Tersuspensi yang Dipengaruh oleh Proses Pasang Surut di Perairan Kaliboyo, Kabupaten Pekalongan

ABSTRAK: Perairan Kaliboyo merupakan daerah yang berpotensi mengalami pendangkalan akibat pengendapan sedimen tersuspensi. Potensi dari pengdangkalan tersebut dapat diketahui dengan mengetahui nilai konsentrasi dan sebaran Material Padatan Tersuspensi (MPT). Konsentrasi MPT yang tinggi di laut dipengaruhi oleh arus yang dibangkitkan oleh pasang surut. Tujuan dilakukannya penelitian ini adalah untuk mengetahui pengaruh arus laut terhadap konsentrasi dan sebaran MPT di Perairan Kaliboyo Kabupaten Batang, Jawa Tengah. Materi yang digunakan meliputi utama berupa data sampel air dan arus laut sedangkan data pendukung berupa data pasang surut BMKG, dan debit sungai PSDA Jawa Tengah tahun 2017, bathimetri hasil pemeruman tanggal 15 September 2018, dan peta RBI 2017. Penelitian ini menggunakan metode kuantitatif yang bersifat eksploratif, penentuan lokasi pengambilan sampel air menggunakan metode purposive sampling, pengambilan data arus laut menggunakan metode lagrange. Model matematik yang digunakan adalah Flow Flexible Mesh Model 2D untuk arah pergerakan arus dan Inverse Distance Weighted untuk interpolasi sebaran MPT. Berdasarkan hasil dari penelitian menunjukkan bahwa nilai material padatan tersuspensi pasang menuju surut pada kedalaman 0.2d memiliki nilai antara 0,027 g/l – 0.114 g/l, kedalaman 0.6d memiliki nilai antara 0,030 g/l – 0,114 g/l, dan kedalaman 0.8d memiliki nilai antara 0,038 g/l – 0,118 g/l. Kecepatan arus memiliki nilai antara 0.0181 m/dt – 0.2011 m/dt dengan arah dominan ke arah barat laut. Berdasarkan hasil penelitian dapat disimpulkan bahwa konsentrasi tertinggi material padatan tersuspensi berada di muara sungai dan daerah yang masih dipengaruhi oleh sungai dan mengecil menuju laut lepas.ABSTRACT: Kaliboyo River is an area that has potential by silting due to the deposition of suspended sediments. The potential of this silting can be known by understanding the value of concentration and the distribution of suspended sediment load. The high suspended sediment load concentration in the ocean is influenced by currents generated by tides. The purpose of this research the effect of ocean currents on the concentration and distribution of suspended sediment load in the Kaliboyo River of Batang Regency, Central Java. The material used includes the main data such as water sample, and current. while the supporting data consists of tides data from BMKG, and river discharge from Central Java PSDA in 2017, bathimetry results from September 15, 2018, and RBI 2017 map This study uses quantitative methods that are explorative in nature, taking the location of sampling using the purposive sampling method, taking ocean currents using the lagrange method. The mathematical model used is 2D Flow Flexible Mesh Model for flow direction and Inverse Distance Weighted for TSS distribution interpolation. Based on the results of the study, it was found that the value of the tide suspended solids to tide at the 0.2d level had a value between 0.027 g / l - 0.114 g / l, 0.6d depth had a value between 0.030 g / l - 0.114 g / l, and 0.8d has a value between 0.038 g / l - 0.118 g / l. The current velocity has a value between 0.0181 m / dt - 0.2011 m / dt with the dominant direction to the northwest. Based on the results of the study it can be concluded that the highest concentration of total suspended solid in the estuary of the river and the area where still influeced by the river and shrinking towards the open sea.

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KONDISI LAMUN BERDASARKAN DISTRIBUSI SPASIAL TOTAL SUSPENDED SOLID (TSS) DI PERAIRAN DESA TANJUNG TIRAM KABUPATEN KONAWE SELATAN

Jurnal Sapa Laut (Jurnal Ilmu Kelautan) ◽

10.33772/jsl.v4i2.8324 ◽

2019 ◽

Vol 4 (2) ◽

pp. 61

Author(s):

Ado Wali ◽

La Ode Alirman Afu ◽

. Emiyarti

Keyword(s):

Total Suspended Solid ◽

Suspended Solid ◽

Inverse Distance Weighted ◽

Purposive Sampling ◽

Distance Weighted ◽

Inverse Distance

Perairan Desa Tanjung tiram mengalami perubahan yang sangat kompleks akibat perubahan pemanfaatan lahan di darat dan berdampak pada kondisi lamun. Penelitian ini bertujuan mengetahui kondisi lamun berdasarkan distribusi spasial total Suspended Solid (TSS) di Perairan Desa Tanjung Tiram, Kabupaten Konawe Selatan. Penelitian ini dilaksanakan pada bulan Oktober 2018 - April 2019. Penentuan titik stasiun penelitian menggunakan metode purposive sampling berdasarkan keberadaan ekosistem lamun. Jumlah stasiun sebanyak 3 stasiun dengan 4 titik sampling pada masing-masing staisun. Metode pengambilan data kerapatan lamun menggunakan transek kuadrat 1x1 m2 dengan transek garis sepanjang 100 m secara tegak lurus ke arah laut pada saat surut terendah. Analisis sampel TSS menggunakan metode gravimetri dan distribusi spasial TSS diperoleh melalui interpolasi menggunakan metode Inverse Distance Weighted (IDW). Hasil penelitian menunjukkan bahwa kondisi lamun dengan kerapatan sangat jarang berada pada daerah dermaga (Stasiun II) dengan kandungan TSS memiliki nilai tertinggi dengan rata-rata 1,546 mg/L, sedangkan kondisi lamun dengan kerapatan agak rapat berada pada daerah yang dekat daratan (Stasiun III) dengan kandungan TSS terendah dengan nilai rata-rata 1,45 mg/L.Kata Kunci: KondisiLamun, TSS, Desa Tanjung Tiram

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SPATIAL DISTRIBUTION OF SURFACE SALINITY AND TEMPERATURE IN BREBES SEAWATER USING SPATIAL ANALYSIS TOOLS – INVERSE DISTANCE WEIGHTED : ITS EFFECTS ON THE OTHER WATER QUALITY PARAMETERS

GEOMATIKA ◽

10.24895/jig.2017.23-1.614 ◽

2017 ◽

Vol 23 (1) ◽

pp. 9

Author(s):

Wisnu Arya Gemilang ◽

Ulung Jantama Wisha

Keyword(s):

Water Quality ◽

Spatial Analysis ◽

Ph Value ◽

Quality Parameters ◽

Water Quality Parameters ◽

Northern Coast ◽

Inverse Distance Weighted ◽

Purposive Sampling ◽

Distance Weighted ◽

Inverse Distance

ABSTRACTThe coast of Brebes is an important area for fishing activities. Along the coast of Brebes, there are mangrove conservation areas which part of green belt development program of Java Northern Coast. The purpose of this study was to determine the influence of salinity and temperature to the water quality conditions by employing a spatial analysis method. The measurement of water quality conducted by employing purposive sampling method. The sampling data was taken in the same time of 1 tide condition which forecasted before. The data were analyzed statistically and spatially using inverse distance weighted analysis. Temperature values ranged from 29.4 to 31.8 °C, conductivity ranged from 3.53 – 4.71 S.m-1 with, pH ranged from 8.04 to 8.52, DO ranged from 3.18 to 6.57 mg.L-1, salinity ranged between 22.9 – 32.8 ‰, the value of salinity, temperature, and water quality parameters showed that the distribution is not uniform. It is influenced by the physical dynamics of sea water, which has an severe impact on the environment changes. Salinity and temperature have an impact to conductivity and DO variability but they are not affect the pH value. DO and pH value is higher than the previous research in Brebes waters.<pre>Keywords: brebes, coastal, spatial analysis, water quality</pre> ABSTRAKPesisir Brebes merupakan kawasan yang penting bagi aktivitas perikanan. Disepanjang pantai Brebes terdapat kawasan konservasi mangrove yang merupakan program pembangunan kawasan sabuk hijau Pantai Utara Jawa. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh salinitas dan temperature terhadap kondisi kualitas perairan dengan menggunakan analisis spasial. Pengukuran sampel air dilakukan dengan metode purposive sampling, pengambilan data berdasarkan peramalan pasang surut. Analisa data dilakukan secara statistic dan spasial dengan menggunakan analisa inverse distance weighted. Nilai suhu berkisar antara 29.8 – 31.8°C, konduktivitas berkisar antara 3.53 – 4.71 S.m-1, pH berkisar antara 8,52 – 8,04, DO berkisar antara 3.18 – 6.57 mg.L-1, salinitas berkisar antara 22.9 – 32.8 ‰. Nilai dari salinitas, temperature dan parameter kualitas perairan menunjukkan bahwa sebaran konsentrasinya tidak merata yang dipengaruhi oleh dinamika fisis air laut dan keberadaan sungai-sungai utama yang berdampak pada perubahan lingkungan. Salinitas dan temperature memiliki dampak terhadap variasi konduktivitas dan DO, namun tidak terlalu berpengaruh terhadap nilai pH. DO dan pH mengalami peningkatan konsentrasi bila dibandingkan dengan penelitian sebelumnya di perairan Brebes.Kata Kunci: analisis spasial, brebes, kualitas air, pesisir, pencemaran

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POLA SEBARAN MATERIAL PADATAN TERSUSPENSI (MPT) DI PERAIRAN MUARA SUNGAI LA BALANO KABUPATEN MUNA

Jurnal Sapa Laut (Jurnal Ilmu Kelautan) ◽

10.33772/jsl.v4i2.8326 ◽

2019 ◽

Vol 4 (2) ◽

pp. 79

Author(s):

. Safarudin ◽

La Ode Muhammad Yasir Haya ◽

Amadhan Takwir

Keyword(s):

Inverse Distance Weighted ◽

Purposive Sampling ◽

Distance Weighted ◽

Inverse Distance

Perairan di sekitar Muara Sungai La Balano terdapat kegiatan pemanfaatan ruang seperti pemukiman, budidaya tambak, perkebunan dan pertanian yang diperkirakan berperan besar pada terjadinya penurunan kualitas air. Konsentrasi Material Padatan Tersuspensi (MPT) yang berlebihan di muara sungai dapat menyebabkan kekeruhan dan ancaman pendangkalan. Tujuan dari penelitian ini adalah untuk mengetahui konsentrasi MPT, perubahan pola arus dan pola sebaran MPT saat kondisi pasang dan surut di Perairan Muara Sungai La Balano Kab. Muna. Metode penentuan titik stasiun menggunakan purposive sampling. Pengambilan data sampel air dan pengukuran parameter fisika oseanografi dilakukan saat kondisi air pasang dan air surut. Analisis sampel MPT menggunakan metode Gravimetri. Peta Pola sebaran MPT diinterpolasi menggunakan metode Inverse Distance Weighted (IDW). Hasil penelitian menunjukkan bahwa konsentrasi MPT di Perairan Muara Sungai La Balano saat kondisi pasang berkisar antara 13.90 – 14.46 mg/l dan kondisi surut berkisar 13.87 – 14.50 mg/l, dengan pola arus yang didominasi oleh arus pasut yaitu terjadi bolak-balik. Pola sebaran MPT di Muara Sungai La Balano terlihat bahwa saat kondisi pasang terjadi penumpukan sedimen di sekitar jety dan saat kondisi surut terjadi penumpukan sedimen di muara sungai. Berdasarkan hasil penelitian dapat disimpulkan bahwa sebaran MPT mengikuti pergerakan arus pasang surut sedangkan konsentrasinya lebih besar bersumber dari daratan.Kata Kunci : Material Padatan Tersuspensi, Pasang Surut, Pola Sebaran, Muara Sungai La Balano

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PEMANFAATAN SUMBER DAYA UDANG PENAEID DI TELUK CILETUH, PALABUHANRATU BERDASARKAN ANALISIS KESESUAIAN KAWASAN

Jurnal Ilmu dan Teknologi Kelautan Tropis ◽

10.29244/jitkt.v12i1.27771 ◽

2020 ◽

Vol 12 (1) ◽

pp. 195-209

Author(s):

Sugeng Hartono ◽

Etty Riani ◽

Fredinan Yulianda ◽

Gondo Puspito

Keyword(s):

Map Algebra ◽

Inverse Distance Weighted ◽

Metapenaeus Ensis ◽

Purposive Sampling ◽

Fenneropenaeus Merguiensis ◽

Distance Weighted ◽

Inverse Distance

Pemanfaatan sumberdaya udang penaeid di Teluk Ciletuh, Kabupaten Sukabumi berisiko tinggi untuk tereksploitasi secara berlebih karena daerah penyebaran udang penaeid relatif sempit di perairannya. Pengelolaan berbasis zonasi perlu diterapkan sebagai upaya pengelolaan sumber daya maupun upaya untuk menjelaskan fungsi dan luas satu kawasan pemanfaatan. Penelitian bertujuan untuk merancang satu kawasan pemanfaatan sumber daya udang penaeid yang sesuai dan terukur berdasarkan potensi dan karakteristik habitatnya secara spasial. Penelitian lapang dan laboratorium dilakukan untuk mengumpulkan dan menganalisis sampel hasil tangkapan dan sedimen. Seluruh kegiatannya berlangsung antara Februari-April 2019. Metode pengumpulan sampel yang digunakan adalah purposive sampling. Pengoperasian pukat tarik dan Van Veen Grab dilakukan untuk mengumpulkan masing-masing sampel hasil tangkapan dan sampel sedimen. Analisis spasial dilakukan dengan perangkat lunak sistem informasi geografis (SIG) untuk menghasilkan satu kawasan pemanfaatan dengan menggunakan analisis inverse distance weighted (IDW) dan map algebra. Hasil penelitian menunjukkan bahwa terdapat dua jenis udang penaeid yang tertangkap di perairannya, yaitu udang dogol (Metapenaeus ensis) dan udang jerbung (Fenneropenaeus merguiensis). Berdasarkan karakteristik habitatnya, sedimen permukaan dasar perairannya dikategorikan sebagai lanau (silt). Perairan yang dikategorikan sangat sesuai (S1) seluas 209,254 ha atau 43,7% dari total luas kawasan kajian (479,288 ha). Perairan yang dikategorikan sesuai (S2) seluas 209,067 ha (43,6%) dan yang tidak sesuai (N) 60,967 ha (12,7%).

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The influence of distance weight on the inverse distance weighted method for ore-grade estimation

Scientific Reports ◽

10.1038/s41598-021-82227-y ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Zhan-Ning Liu ◽

Xiao-Yan Yu ◽

Li-Feng Jia ◽

Yuan-Sheng Wang ◽

Yu-Chen Song ◽

...

Keyword(s):

Estimation Accuracy ◽

Block Model ◽

Minkowski Distance ◽

Inverse Distance Weighted ◽

Grade Estimation ◽

M 10 ◽

Weight Calculation ◽

Distance Weighted ◽

Inverse Distance ◽

Ore Grade

AbstractIn order to study the influence of distance weight on ore-grade estimation, the inverse distance weighted (IDW) is used to estimate the Ni grade and MgO grade of serpentinite ore based on a three-dimensional ore body model and related block models. Manhattan distance, Euclidean distance, Chebyshev distance, and multiple forms of the Minkowski distance are used to calculate distance weight of IDW. Results show that using the Minkowski distance for the distance weight calculation is feasible. The law of the estimated results along with the distance weight is given. The study expands the distance weight calculation method in the IDW method, and a new method for improving estimation accuracy is given. Researchers can choose different weight calculation methods according to their needs. In this study, the estimated effect is best when the power of the Minkowski distance is 3 for a 10 m × 10 m × 10 m block model. For a 20 m × 20 m × 20 m block model, the estimated effect is best when the power of the Minkowski distance is 9.

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Land-Use/-Cover Changes and Their Effect on Soil Erosion and River Suspended Sediment Load in Different Landscape Zones of European Russia during 1970–2017

Water ◽

10.3390/w13121631 ◽

2021 ◽

Vol 13 (12) ◽

pp. 1631

Author(s):

Artyom V. Gusarov

Keyword(s):

Soviet Union ◽

Suspended Sediment ◽

Sediment Load ◽

Gully Erosion ◽

European Russia ◽

Relative Reduction ◽

Forest Steppe ◽

Suspended Sediment Load ◽

Cultivated Land ◽

Study Region

Contemporary trends in cultivated land and their influence on soil/gully erosion and river suspended sediment load were analyzed by various landscape zones within the most populated and agriculturally developed part of European Russia, covering 2,222,390 km2. Based on official statistics from the Russian Federation and the former Soviet Union, this study showed that after the collapse of the Soviet Union in 1991, there was a steady downward trend in cultivated land throughout the study region. From 1970–1987 to 2005–2017, the region lost about 39% of its croplands. Moreover, the most significant relative reduction in cultivated land was noted in the forest zone (south taiga, mixed and broadleaf forests) and the dry steppes and the semi-desert of the Caspian Lowland—about 53% and 65%, respectively. These territories are with climatically risky agriculture and less fertile soils. There was also a widespread reduction in agricultural machinery on croplands and livestock on pastures of the region. A decrease in soil/gully erosion rates over the past decades was also revealed based on state hydrological monitoring data on river suspended sediment load as one of the indicators of the temporal variability of erosion intensity in river basins and the published results of some field research in various parts of the studied landscape zones. The most significant reduction in the intensity of erosion and the load of river suspended sediment was found in European Russia’s forest-steppe zone. This was presumably due to a favorable combination of the above changes in land cover/use and climate change.

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Prediction of daily suspended sediment load (SSL) using new optimization algorithms and soft computing models

Soft Computing ◽

10.1007/s00500-021-05721-5 ◽

2021 ◽

Author(s):

Hamid Darabi ◽

Sedigheh Mohamadi ◽

Zahra Karimidastenaei ◽

Ozgur Kisi ◽

Mohammad Ehteram ◽

...

Keyword(s):

Suspended Sediment ◽

Soft Computing ◽

Sediment Load ◽

Optimization Algorithms ◽

Training Phase ◽

Suspended Sediment Load ◽

Engineering Structures ◽

Northern Iran ◽

Taylor Diagram ◽

Computing Models

AbstractAccurate modeling and prediction of suspended sediment load (SSL) in rivers have an important role in environmental science and design of engineering structures and are vital for watershed management. Since different parameters such as rainfall, temperature, and discharge with the different lag times have significant effects on the SSL, quantifying and understanding nonlinear interactions of the sediment dynamics has always been a challenge. In this study, three soft computing models (multilayer perceptron (MLP), adaptive neuro-fuzzy system (ANFIS), and radial basis function neural network (RBFNN)) were used to predict daily SSL. Four optimization algorithms (sine–cosine algorithm (SCA), particle swarm optimization (PSO), firefly algorithm (FFA), and bat algorithm (BA)) were used to improve the capability of SSL prediction of the models. Data from gauging stations at the mouth of the Kasilian and Talar rivers in northern Iran were used in the analysis. The selection of input combinations for the models was based on principal component analysis (PCA). Uncertainty in sequential uncertainty fitting (SUFI-2) and performance indicators were used to assess the potential of models. Taylor diagrams were used to visualize the match between model output and observed values. Assessment of daily SSL predictions for Talar station revealed that ANFIS-SCA yielded the best results (RMSE (root mean square error): 934.2 ton/day, MAE (mean absolute error): 912.2 ton/day, NSE (Nash–Sutcliffe efficiency): 0.93, PBIAS: 0.12). ANFIS-SCA also yielded the best results for Kasilian station (RMSE: 1412.10 ton/day, MAE: 1403.4 ton/day, NSE: 0.92, PBIAS: 0.14). The Taylor diagram confirmed that ANFIS-SCA achieved the best match between observed and predicted values for various hydraulic and hydrological parameters at both Talar and Kasilian stations. Further, the models were tested in Eagel Creek Basin, Indiana state, USA. The results indicated that the ANFIS-SCA model reduced RMSE by 15% and 21% compared to the MLP-SCA and RBFNN-SCA models in the training phase. Comparing models performance indicated that the ANFIS-SCA model could decrease MAE error compared to ANFIS-BA, ANFIS-PSO, ANFIS-FFA, and ANFIS models by 18%, 32%, 37%, and 49% in the training phase, respectively. The results indicated that the integration of optimization algorithms and soft computing models can improve the ability of models for predicting SSL. Additionally, the hybridization of soft computing models with optimization algorithms can decrease the uncertainty of models.

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