Water Quality Modeling For Pollutant Carrying Capacity Assessment Using Qual2Kw In Bedog River

Setiawan, Akhmad Darajati; Widyastuti, M.; Hadi, M. Pramono

doi:10.22146/ijg.16429

Cited by 14 publications

(8 citation statements)

References 3 publications

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“…On the other hand, the maximum COD differential load from the nonpoint source was observed at the same station with a calculated load of 5588.7 t/yr contributed by the subcatchment having an area of 826.419 ha, followed by M13, M12, and M10, which had contributed an annual load of 3217.2 t, 2306.9 t, and 1859.55 t, respectively. Similarly, high BOD depletion was observed at downstream stations M10 (1867.49 t/yr), M11 (738.49 t/yr), and M14 (1007.76 t/yr), where the impacts of nonpoint sources were assumed to be insignificant, showing that the river is going through a high rate of recovery, possibly due to morphometric effects and the improved self-purification capacity of the river [55]. Pa = parameters; differential load = incremental load of the downstream station relative to the upstream station/s; NO x * = reported as NO 3 +NO 2 ; † deficit (sink).…”

Section: Chemical Mass Balance and Pollutants Differential Load In Larmentioning

confidence: 89%

Integral Application of Chemical Mass Balance and Watershed Model to Estimate Point and Nonpoint Source Pollutant Loads in Data-Scarce Little Akaki River, Ethiopia

Angello

Behailu²,

Tränckner

2020

Sustainability

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The quality of Little Akaki River in Addis Ababa (Ethiopia) is deteriorating significantly due to uncontrolled waste released from point and diffuse sources. In this study, pollution load from these sources was quantified by integrating chemical mass balance analysis (CMB) and the watershed model of pollution load (PLOAD) for chemical oxygen demand, biochemical oxygen demand, total dissolved solid, total nitrogen, nitrate, and phosphate. Water samples monitored bimonthly at 15 main channel monitoring stations and 11-point sources were used for estimation of pollutant load using FLUX32 software in which the flow from the soil and water assessment tool (SWAT) model calibration, measured instantaneous flow, and constituent concentration were used as input. The SWAT simulated the flow quite well with a coefficient of determination (R2) of 0.78 and 0.82 and Nash-Sutcliff (NSE) of 0.76 and 0.80 during calibration and validation, respectively. The uncharacterized nonpoint source load calculated by integrating CMB and PLOAD showed that the contribution of nonpoint source prevails at the middle and downstream segments of the river. Maximum chemical oxygen demand (COD) load from uncharacterized nonpoint sources was calculated at the monitoring station located below the confluence of two rivers (near German Square). On the other hand, high organic pollution load, biochemical oxygen demand (BOD) load, was calculated at a station upstream of Aba Samuel Lake, whereas annual maximum total dissolved solid (TDS), total nitrogen (TN), and phosphate load (PO4-P) from the nonpoint source in Little Akaki River (LAR) were found at a river section near Kality Bridge and maximum NOX load was calculated at station near German Square. The integration of the CMB and PLOAD model in this study revealed that the use of area-specific pollutant export coefficients would give relatively accurate results than the use of mean and median ECf values of each land use.

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Section: Chemical Mass Balance and Pollutants Differential Load In Larmentioning

confidence: 89%

Integral Application of Chemical Mass Balance and Watershed Model to Estimate Point and Nonpoint Source Pollutant Loads in Data-Scarce Little Akaki River, Ethiopia

Angello

Behailu²,

Tränckner

2020

Sustainability

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“…NH4 -), which is immeasurable in COD. Therefore, COD has higher values than BOD because COD laboratory analysis involves more stable compounds in biological reactions, which may be oxidized during analysis [23].…”

Section: River Water Quality Of Cirarab River Segment Curug Districtmentioning

confidence: 99%

Impacts of Land Use and Land Use Change In River Basin to Water Quality of Cirarab River, Indonesia

Indriyani¹,

Hasibuan²,

Gozan³

2020

Proceedings of the Proceedings of the 1st International Conference on Environmental Science and Sustainable Development, ICESSD

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Land use and land cover (LULC) changes are two main factors contribute to the decreasing water quality. This research aims to assess the impacts of LULC changes on the river basin towards water quality of Cirarab River. This research applied GIS analysis with LULC data changes from 2013 to 2018. The potential pollution load originating from residential on the river basin was calculated and compared to the maximum pollutant load. Water samples were collected five times a day in three locations. The result showed residential and industrial areas increased respectively of 110.08ha and 388.37ha; while shrub/vacant land decreased by 407.15ha. Potential pollution load amounted to 2615.78 kgBOD/day and 3713.87 kgCOD/day. This study found almost all monitoring points of COD and BOD parameters exceeded the required quality standard. Water samples collected from river basin with shrubs/vacant land has relatively better water quality compared to those collected from residential and industrial areas.

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“…Metode ini digunakan untuk mengetahui kemiripan data lapangan dengan model yang dihasilkan. Model dianggap valid jika nilai MRE kurang dari 10 % (Setiawan et al, 2018;Rezagama et al, 2019). Persamaan yang digunakan sebagai berikut:…”

Section: Materi Dan Metodeunclassified

Model Transformasi Gelombang di Pelabuhan Patimban, Kabupaten Subang dengan Tiga Skenario

2020

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Pembangunan dermaga dan breakwater (pemecah gelombang) di Pelabuhan Patimban, Kabupaten Subang, Jawa Barat dapat mengakibatkan transformasi gelombang di perairan sekitarnya. Pemodelan transformasi gelombang penting untuk memberikan informasi sekaligus memprediksi seberapa besar pengaruh pembangunan dermaga dan breakwater terhadap perairan di sekitarnya. Tujuan dari penelitian adalah untuk mengetahui ada tidaknya transformasi gelombang dengan menggunakan tiga skenario. Penelitian lapangan dilaksanakan pada Januari sampai Februari 2020. Data yang digunakan adalah data gelombang hasil pengukuran lapangan, data angin, dan data batimetri. Peramalan gelombang dengan menggunakan metode Sverdrup-Munk Bretschneider (SMB). Pemodelan gelombang menggunakan model hidrodinamika untuk mengetahui besar transformasi gelombang. Tiga skenario yang digunakan yaitu skenario 1 (tanpa ada dermaga dan breakwater), skenario 2 (ada dermaga tanpa breakwater), dan skenario 3 (ada dermaga dan breakwater). Hasil simulasi menunjukan bahwa terjadi transformasi gelombang yang meliputi refraksi, refleksi, difraksi dan shoaling di Pelabuhan Patimban, dengan nilai koefisien refraksi tertinggi pada skenario 1. Penurunan tinggi gelombang terjadi pada skenario 2 dan skenario 3. The construction of a pier and breakwater at Patimban Port, Subang Regency, West Java can create wave transformation in the surrounding waters. Wave transformation modeling is important to provide information as well as predict how much influence the construction of the pier and breakwater will have effect on the surrounding waters. The purpose of this research is to determine the three scenarios effects for wave transformation. Field research was carried out from January to February 2020. The data used were wave data from field measurements, wind data, and bathymetry data. Wave forecasting using the Sverdrup-Munk Bretschneider (SMB) method. Wave modeling uses hydrodynamic models to determine the magnitude of the wave transformation. Three scenarios are used, namely scenario 1 (without a pier and breakwater), scenario 2 (there is a dock without a breakwater), and scenario 3 (there are a pier and breakwater). The simulation results show that there is a wave transformation which includes refraction, reflection, diffraction, and shoaling at Patimban Port, with the highest refraction coefficient value in scenario 1. A reduction in wave height occurs in scenarios 2 and scenario 3.

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Water Quality Modeling For Pollutant Carrying Capacity Assessment Using Qual2Kw In Bedog River

Cited by 14 publications

References 3 publications

Integral Application of Chemical Mass Balance and Watershed Model to Estimate Point and Nonpoint Source Pollutant Loads in Data-Scarce Little Akaki River, Ethiopia

Integral Application of Chemical Mass Balance and Watershed Model to Estimate Point and Nonpoint Source Pollutant Loads in Data-Scarce Little Akaki River, Ethiopia

Impacts of Land Use and Land Use Change In River Basin to Water Quality of Cirarab River, Indonesia

Model Transformasi Gelombang di Pelabuhan Patimban, Kabupaten Subang dengan Tiga Skenario

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