A dynamic simulation–optimization model for adaptive management of urban water distribution system contamination threats

Rasekh, Amin; Brumbelow, Kelly

doi:10.1016/j.asoc.2015.03.021

Cited by 35 publications

(11 citation statements)

References 51 publications

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“…Metode ini juga telah digunakan oleh peneliti-peneliti sebelumnya untuk memodelkan pengelolaan air baik dari aspek kuantitas (Nozari & Liaghat, 2014;Sun et al, 2017) maupun kualitas (Hassanzadeh et al, 2019;Liu et al, 2015;Lukman et al, 2019;Wang et al, 2016). Tujuan pemodelan yang dilakukan pada umumnya adalah untuk mendapatkan model pengelolaan sumberdaya air yang lestari (Primadian N et al, 2016;Tian et al, 2020 Tahapan pemodelan dilakukan dengan mengadaptasi metode pemodelan system dynamics, seperti dilakukan beberapa penelitian terdahulu (Rasekh & Brumbelow, 2015;Sun et al, 2017;Wei et al, 2016) yakni uji pembandingan rata-rata data hasil simulasi terhadap rata-rata data referensi. Data yang digunakan adalah data referensi dan simulasi jumlah penduduk, dengan menggunakan rumus: dengan kriteria toleransi kesalahan maksimum 30 %.…”

Section: Metodologiunclassified

Model Pengelolaan Air Bersih di Kecamatan Pamulang, Kota Tangerang Selatan

Harianja¹,

M.Sc²

2020

ecolab

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Pengelolaan sampah perkotaan telah menjadi permasalahan global dan tidak terkecuali di Kota Bogor. Saat ini sekitar 150-180 ton sampah padat per hari tidak dapat terangkut ke Tempat Pembuangan Akhir (TPA) Galuga dan tersisa di dalam kota Bogor. Pemerintah Kota Bogor telah mengelola sampah padat perkotaannya dengan berlandaskan Undang-Undang Nomor 18/2008 yakni berupaya mereduksi sampah dari sumber terbesar, yaitu rumah tangga permukiman. Dalam upaya mereduksi sampah, pemerintah Kota Bogor telah membentuk Bank Sampah serta menyediakan komposter di perumahan. Terdapat 255 Bank Sampah unit terdaftar di Bank Sampah Induk Berbasis Aparatur (BASIBA) Kota Bogor, namun hanya 43 unit yang aktif dengan total reduksi kurang dari 1% timbulan sampah bulanan. Riset ini bertujuan untuk mengukur persepsi masyarakat terhadap pengolahan sampah melalui Bank Sampah serta memodelkan alternatif skenario yang paling efektif dan memungkinkan untuk mengurangi timbulan sampah padat rumah tangga. Penelitian ini menggunakan analisis korelasi untuk analisis persepsi serta prinsip-prinsip sistem dinamik untuk permodelan. Analisis terhadap 196 sampel responden menunjukkan bahwa bahwa faktor usia dan tingkat pendidikan memiliki dampak paling signifikan dalam partisipasi masyarakat terhadap pengolahan dan mereduksi sampah melalui Bank Sampah. Kombinasi optimasi Bank Sampah dan edukasi terhadap partisipasi masyarakat dalam mereduksi timbulan sampah melalui Bank Sampah diperkirakan dapat mengurangi timbulan sampah tak terangkut sebesar 18% dalam jangka waktu lima tahun.

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Section: Metodologiunclassified

Model Pengelolaan Air Bersih di Kecamatan Pamulang, Kota Tangerang Selatan

Harianja¹,

M.Sc²

2020

ecolab

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“…Considering the uncertainty of user water demand, Yan et al [12,13] applied various models to simulate user water demand and then employed a genetic algorithm to solve a pollution source positioning problem with uncertain water demand. Rasekh and Brumbelow [14] proposed dynamic simulation optimization model taking into account a number of uncertainties that lead to unpredictable time-varying system behaviour in the real world. In the simulation-optimization method, the optimization algorithm is used as the optimizer.…”

Section: Introductionmentioning

confidence: 99%

Pollution source positioning in a water supply network based on expensive optimization

Yan¹,

Yang²,

Hu³

et al. 2018

Desalination and Water Treatment

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a b s t r a c tIn recent years, several drinking water pollution accidents that severely affected social stability and security have occurred. A pollution accident can be effectively prevented by deploying sensors in urban water supply pipes to monitor water quality in real time. However, it is a challenge to back calculate a pollution source from information detected by a water quality sensor. In this paper, characteristics of pollution source positioning are analyzed in detail; pollution source positioning is converted into an expensive optimization problem to find a solution. Additionally, based on the characteristics of the water supply network, a Gaussian agent model is created for each node in the supply network. A Gaussian agent model-based expensive optimization algorithm is proposed to solve the pollution source positioning problem in a water supply network. To verify the effectiveness of the proposed method, data from a water supply network are used for a lab simulation; the predicted results prove the effectiveness and efficiency of the proposed algorithm.

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“…The universality of urban trends, old structures and increasing terrorism risks need proper modeling for giving response to any type of emergency which is unfortunately not very much developed. When giving response to any emergency situation there should be parallel activities that rely on the processing of continues information as well as formulating targeted response actions [4].…”

Section: Introductionmentioning

confidence: 99%

Environmental Assessment and Analysis of Chemical Properties of Drinking Water Using Geo-Spatial Technologies: Examples from Lahore Metropolitan

Mirza¹,

Mirza²,

Jamal³

et al. 2018

ARS

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The contamination of drinking water in Pakistan is a serious threat to its citizens. Urbanization leads to an increased demand of drinking water supply that leads to excessive drawdown that further causes lowering of water table. The current WASA (Water and Sanitation Authority) supply network does not fulfill the demand of a growing metropolitan city of Lahore. The drawdown of Lahore is absolutely reliant on Water and Sanitation Authority (WASA) water supply network that causes numerous problems due to inappropriate management of groundwater capital and increased urbanization. This research investigates groundwater qualities: Alkalinity, Arsenic, Calcium, chloride, Total Hardness, Magnesium, Nitrate, pH and Total Dissolved solids using geographic information system (GIS). Residents of high concentrated towns, like Samnabad Town, Allama Iqbal Town, Gulberg, Data Ganj Bakhsh Town, Ravi Town and Wahga town witness cut-down of water supply mainly due to over burden on tube wells. Chemical properties of drinking water show that most of the parameters were within the allowable limits of WHO whereas the pH, and arsenic values are higher than the average. Arsenic is a carcinogenic element which causes cancer and is higher in the drinking water. Finally, this study identifies highly contaminated groundwater zones and makes it convenient to find actual pollutants. Therefore, plans are needed to protect the aquifer.

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A dynamic simulation–optimization model for adaptive management of urban water distribution system contamination threats

Cited by 35 publications

References 51 publications

Model Pengelolaan Air Bersih di Kecamatan Pamulang, Kota Tangerang Selatan

Model Pengelolaan Air Bersih di Kecamatan Pamulang, Kota Tangerang Selatan

Pollution source positioning in a water supply network based on expensive optimization

Environmental Assessment and Analysis of Chemical Properties of Drinking Water Using Geo-Spatial Technologies: Examples from Lahore Metropolitan

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