scholarly journals Surface Water Modeling Using an EPA Computer Code for Tritiated Waste Water Discharge from the heavy Water Facility

1998 ◽  
Author(s):  
K.F. Chen
Minerals ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. 727 ◽  
Author(s):  
Ann Maest ◽  
Robert Prucha ◽  
Cameron Wobus

The Pebble Project in Alaska is one of the world’s largest undeveloped copper deposits. The Environmental Impact Statement (EIS) proposes a 20-year open-pit extraction, sulfide flotation, and deposition of separated pyritic tailings and potentially acid-generating waste rock in the pit at closure. The pit will require perpetual pump and treat management. We conducted geochemical and integrated groundwater–surface water modeling and streamflow mixing calculations to examine alternative conceptual models and future mine abandonment leading to failure of the water management scheme 100 years after mine closure. Using EIS source water chemistry and volumes and assuming a well-mixed pit lake, PHREEQC modeling predicts an acidic (pH 3.5) pit lake with elevated copper concentrations (130 mg/L) under post-closure conditions. The results are similar to water quality in the Berkeley Pit in Montana, USA, another porphyry copper deposit pit lake in rocks with low neutralization potential. Integrated groundwater–surface water modeling using MIKE SHE examined the effects of the failure mode for the proposed 20-year and reasonably foreseeable 78-year expansion. Simulations predict that if pumping fails, the 20-year pit lake will irreversibly overtop within 3 to 4 years and mix with the South Fork Koktuli River, which contains salmon spawning and rearing habitat. The 78-year pit lake overtops more rapidly, within 1 year, and discharges into Upper Talarik Creek. Mixing calculations for the 20-year pit show that this spillover would lead to exceedances of Alaska’s copper surface water criteria in the river by a factor of 500–1000 times at 35 miles downstream. The combined modeling efforts show the importance of examining long-term failure modes, especially in areas with high potential impacts to stream ecological services.


2008 ◽  
Vol 10052 ◽  
pp. 273-280 ◽  
Author(s):  
T. S. Wu ◽  
Doug Gilbert ◽  
Henry E. Fuelberg ◽  
Harry Cooper ◽  
Del Bottcher ◽  
...  

Ground Water ◽  
2016 ◽  
Vol 55 (3) ◽  
pp. 302-315 ◽  
Author(s):  
Pradeep Mugunthan ◽  
Kevin T. Russell ◽  
Binglei Gong ◽  
Michael J. Riley ◽  
Arthur Chin ◽  
...  

2016 ◽  
Vol 14 (2) ◽  
pp. 130
Author(s):  
Chairil Saleh ◽  
Ach Hadi S

Analisa kecepatan aliran pada ruas sungai merupakan tahap awal dalam menentukan langkah upaya penanganan masalah gerusan yang terjadi pada palung sungai. Seiring dengan perkembangan piranti lunak (software) yang demikian pesat model matematika seringkali menjadi pilihan sebagai alat untuk memperoleh prilaku yang terjadi, oleh karena disamping biayanya yang murah model ini dapat mencangkup dimensi ruang dan waktu yang panjang. Surface Water Modeling Systemmerupakan salah satu program untuk memecahkan model  matematika yang dibangun berdasarkan konsep gerak air dan gerak sedimen yang secara matematis dipecahkan dengan menggunakan metode elemen hingga (finite element) melalui pendekatan dua dimensi horisontal. Dengan berbagai kelebihannya, model ini diharapkan mampu memberikan hasil yang memuaskan sehingga dapat memperbaiki kinerja dari metode-metode pendekatan yang umum digunakan sebelumnya. Lokasi penelitian adalah Sungai Brantas depan  Kampus III UMM di Kabupaten Malang Jawa Timur yang  memiliki masalah akibat gerusan di Palung Sungai yang cukup mengkhawatirkan. Dari hasil analisa terhadap gerusan yang terjadi memperlihatkan tingkat kecepatan aliran sangat besar, dengan memasukan nilai  n Manning = 0,045, di peroleh hasil kecepatan yang sangat tinggi yaitu Maksimum = 0.25 m/det dan Minimum = 0,03  m/det melebihi kecepatan kritis D50 sebesar 0,045 m/det, sedangkan hasil penempatan bendung didapat hasil kecepatan sebesar Maksimum = 0.043 m/det dan Minimum = 0,010 m/det dibawah kecepatan kritis D50.


Rekayasa ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 154-163
Author(s):  
Andojo Wurjanto ◽  
Harman Ajiwibowo

Pantai Lemong merupakan bagian dari Kawasan Pantai Pesisir Barat, Provinsi Lampung yang berpotensi terkena abrasi akibat gelombang dari Samudera Hindia. Rencana pengamanan pantai diperlukan untuk mencegah abrasi. Studi ini dilakukan untuk mengidentifikasi karakteristik pasang surut dan arus di perairan Lemong sebagai parameter untuk perencanaan pengaman pantai. Analisis pasang surut dan arus dilakukan dengan pemodelan numerik pada modul RMA2 dari perangkat lunak Surface-Water Modeling System (SMS). Data yang digunakan pada pemodelan adalah batimetri dan elevasi pasang surut setempat yang didapatkan dari hasil survei. Pemodelan dilakukan dengan metode online nesting dengan empat tingkat resolusi grid dengan resolusi tertinggi pada 1 x 1 km2 saat mendekat ke Perairan Pantai Lemong. Hasil pemodelan divalidasi dengan data lapangan berupa elevasi pasang surut pada dua titik di perairan dangkal dan tiga titik di perairan dalam. Hasil pemodelan menunjukkan bahwa tunggang pasang surut di wilayah Pantai Lemong mencapai 1,4 m dengan tipe mixed – dominan semi diurnal. Hasil pemodelan juga menunjukkan pola arus di Perairan Lemong yang memiliki arah dominan menuju Tenggara saat pasang dan menuju Barat Laut saat surut. Untuk pengembangan model berikutnya, disarankan agar menyertakan data kecepatan arus hasil survei lapangan dalam proses validasi sehingga kesesuaian hasil pemodelan dengan lapangan dapat lebih ditingkatkan.Hydrodynamic Analysis Using Surface-water Modeling System in Lemong Waters, West Lampung Regency, Lampung ProvinceLemong Beach is part of the western coast of Lampung Province which is prone to abrasion caused by the Indian Ocean waves.  This study aims to identify the tidal and current characteristics in Lemong waters as a part of coastal protection planning. The tidal analysis is performed by using the RMA2 module from Surface-Water Modeling System (SMS). Data utilized in the model including bathymetry and local tidal elevations from field surveys. Modeling is conducted using an online nesting method utilizing four stages of grid resolution with 1 x 1 km2 as the highest used around the Lemong Beach Waters. The model is validated with the tidal elevations measured in two points in shallow water and three points in deep water areas. The modeling result shows that the tidal range of Lemong Beach Waters is approximately 1.4 meters as a mixed tide, dominantly in semi-diurnal. The model also shows that the current pattern in Lemong Beach Waters is dominantly moving towards southeast during flows and towards northwest during ebbs. Modeling can be further improved by including current speed from field measurement in the validation process.


2017 ◽  
Vol 3 (1) ◽  
Author(s):  
Rizky Franchitika

ABSTRAKPelabuhan Belawan merupakan pelabuhan terbesar di Sumatera dan ketiga terbesar di Indonesia setelah Tanjung Priok dan Tanjung Perak. Pelabuhan Belawan berada didaratan semenanjung diantara Sungai Belawan dan Sungai Deli. Modelisasi pada pola arus di Pelabuhan Belawan akan menemui masalah yang sangat kompleks, karena geometri daerah pantai yang tidak beraturan adalah bagian sungai yang berhubungan langsung dengan laut. Pengaruh pasang surut terhadap sirkulasi kecepatan pola arus dan debit sungai yang masuk ke Pelabuhan Belawan sangat besar.  Salah satu model matematik untuk pemecahan masalah diatas adalah melakukan kajian dengan menggunakan software SMS (Surface-Water Modeling System) versi 11.1 pada modul RMA2, untuk mengetahui elevasi muka air pada titik di hulu dan hilir pelabuhan pada saat spring tide dan neap tide di musim basah (November) dan musim kering (Juli). Berdasarkan hasil yang didapatkan, kecepatan arus saat pasang tertinggi di musim basah adalah 0,04367 m/s - 0,4608 m/s, kecepatan arus saat pasang terendah di musim tersebut adalah berkisar antara 0,00028 m/s – 0,00287 m/s. Sedangkan kecepatan arus saat pasang tertinggi pada musim kering adalah 0,0229 m/s - 0,2744 m/s dan kecepatan arus saat pasang terendah adalah 0,0003 m/s – 0,0019 m/s. Kecepatan arus pada musim basah cenderung lebih besar daripada musim kering, disebabkan karena pengaruh pasang surut dan debit yang besar, meskipun pada simulasi angin dianggap konstan, tidak menutup kemungkinan bahwa pengaruh tekanan angin pada pelabuhan mempengaruhi kecepatan aliran.Kata Kunci : Eddy Viscosities, Pelabuhan Belawan, Pola Aliran, SMS v11.1 ABSTRACTBelawan Port is the largest port in Sumatra and the third largest in Indonesia's after the Tanjung Priok and Tanjung Perak. Belawan Port is located in mainland peninsula between Belawan and Deli river.The modeling of flow pattern in Belawan Port will encounter a very complex problem, because of the irregular geometry of coastal area which is directly connected to the sea. Tidal influence on flow circulation and the river discharge into Belawan Port is very significant. One of the mathematical models to solve the above problem is aimed to study the use of SMS software (Surface-Water Modeling System) version 11.1 on RMA2 module, to determine the water level at port including upstream and downstream during spring tide and neap tide on the wet season (November) and the dry season (July). Based on the obtained results, the flow velocity of the highest tide on the wet season is 0.04367 m/s - 0.4608 m/s, the flow velocity of the lowest tide on the dry season is between 0.00028 m/s  and 0.00287 m s. While the flow velocity of the highest tides on the dry season is 0.0229 m/s - 0.2744 m/s and low tide flow velocity is 0.0003 m/s - 0.0019 m/s. Flow velocity on the wet season tends to be larger than the dry season due to the influence of tide and large discharge. Although the wind is considered constant on this simulation, it is possible that the wind pressure against the port affects the flow velocity. Keywords: Belawan Port, Eddy Viscosities, Flow Pattern, SMS v11.1


2020 ◽  
Author(s):  
Max Waddell ◽  
Nathalie Grassineau ◽  
James Brakeley ◽  
Kevin Clemitshaw

<p>Inadequate management of plastic waste has resulted in its ubiquity within the environment, and presents a risk to living organisms. Harm caused by large plastics is well documented, but progressive understanding of microplastics (< 5mm) reveals an ever more unsettling issue. Microplastics contamination is considered an emerging global multidisciplinary issue that would be aided by further research on sources, distribution, abundance, and transport mechanisms. Landfills are a suspected source of such, but research at these sites is insufficient. Although the risks surrounding microplastics are still inconclusive, there is concern over their accumulation in organisms, leaching constituents, and hydrophobic nature. Studying microplastics in the environment, let alone landfill, is challenging as standard and accepted methodologies are presently non-existent.</p><p>Here, microplastics (1mm to 25µm) were evaluated at one particular and long-running UK landfill after first developing a simple, replicable, efficient, and cost effective sampling and analysis approach. Concentrations and types of microplastics were quantified in raw leachate, treated leachate, waste water, groundwater, and surface water, to characterise abundance, distribution, and released loads to the environment. Samples were filtered in-situ, with subsequent purification at the laboratory by Fenton’s reagent. Analysis relied heavily on microscopic sorting and counting, but use of Scanning Electron Microscopy – Energy Dispersive X-Ray Spectroscopy enabled instrumental interrogation of particles suspected to be plastic. Many factors investigated here appear novel to the literature, and comprehensively explore: temporal variation of microplastics in raw leachate across different landfill phases and waste ages; their abundance in local groundwater, and surface water discharge; microplastics distribution within a leachate treatment plant; and their subsequent release to the environment from a waste water treatment facility. The results build upon the small collection of existing work, but also offer new insights into microplastics’ occurrence in, around, and released from a landfill site.</p><p>In total, 62 samples were taken, and particles considered microplastics (MP) were most abundant in groundwater, followed by raw leachate > waste water > treated leachate > surface water. Average concentration in groundwater was 105.1±104.3 MP L<sup>-1</sup>, raw leachate 3.3±1.7 MP L<sup>-1</sup>, and waste water was 1.8±0.73 MP L<sup>-1</sup>. Consistent with other research, fibres were most dominant, but blank samples highlight the great potential for secondary contamination. Imaging of suspect particles revealed the extreme nature and conditions of landfill sites in their generation of microplastics. Analogous to waste water treatment, leachate treatment is shown to be reducing microplastics in the discharge by 58.1%, and it is expected that microplastics are retained in the treatment plant sludge. Daily loads from leachate treatment were 142,558±67,744 MP day<sup>-1</sup>, but from waste water this was approximately 45.2±18.3 million MP day<sup>-1</sup>. Ultimately, the landfill is not a final sink of microplastics but a source, for those >25 µm, to the environment: yet, it is unlikely to be a significant one. Results highlighted the need for reduction strategies at waste water treatment plants and in the site’s groundwater boreholes, as well as further investigation to determine the source of abundant fibres in the surface water.</p>


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