Source localization via aermod-based simulation under mean squared error criterion: Demonstration using field data

Kakarla, A.; Qureshi, Asif H.; Thatikonda, Shashidhar; De, Swades; Singh, Shiv Govind; Jana, Soumya

doi:10.1109/igarss.2017.8128425

Cited by 5 publications

(5 citation statements)

References 3 publications

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“…[Map data sources: Google, Maxar Technologies; Map is generated using Google Earth with graphical elements and texts superimposed using Adobe Photoshop. Certain information is reproduced with permission from ( Kakarla et al, 2017 , Fig. 7) and ( Kakarla et al, 2019 , Fig.…”

Section: Methodsmentioning

confidence: 99%

“…The SS optimization problem (3) can be solved even using exhaustive search, which avoids local minima ( Kakarla et al, 2017 ). However, the MS optimization problem (2) , facing more severe issues of local minima, could be too complex for exhaustive search.…”

Section: Methodsmentioning

confidence: 99%

“…In such circumstances, one operates under (or, attempts to prove) the hypothesis that it is possible to estimate sources with statistically significant levels of accuracy from a limited number of field readings taken using an error-prone sensor. In this direction, a previous attempt adopted AERMOD, and from limited number of measurements, estimated the emission source (assuming single) by minimizing the mean-squared error between the predicted and measured concentration levels ( Kakarla et al, 2017 ). However, that attempt suffered from certain limitations such as lack of robustness and lack of thorough statistical validation.…”

Section: Introductionmentioning

confidence: 99%

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RESILIENT: A robust statistical method for estimating multiple VOC sources from limited field measurements

Kakarla

Qureshi

Thatikonda

et al. 2020

Heliyon

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Air pollution due to haphazard industrialization has become a major concern in developing countries. Yet, enforcement of related norms remains problematic because violators cannot easily be pinpointed among closely situated industrial units. Accordingly, it has become imperative to equip regulatory authorities with an economical yet accurate tool that quickly locates emission sources and estimates emission rates. Against this backdrop, we propose RESILIENT, a method for Robust Estimation of Source Information from LImited field measuremENTs, which exhibits significant statistical robustness and accuracy even when the data are collected using a low-cost error-prone sensor. In our field experiment, where ground truth was unavailable, the sources estimated to be inactive based on the complete set of measurements were found inactive (up to three decimal places of accuracy) at least 72% of the time even when estimated using just 54% of random measurements. In that setting, rate estimates of active sources were also found to be statistically robust. For direct validation of RESILIENT, we considered a separate public dataset involving 10 tracer experiments, and obtained a significant correlation coefficient of 0.89 between estimated and recorded emission rates, and that of 0.99 between predicted and measured concentration levels at sensor locations.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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RESILIENT: A robust statistical method for estimating multiple VOC sources from limited field measurements

Kakarla

Qureshi

Thatikonda

et al. 2020

Heliyon

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“…In addition, economically, agroforestry can improve people's welfare because it produces various food sources derived from crops and MPTs (multipurpose tree species). The high variety of products that can be produced by agroforestry land is expected to change the mindset of people who view forests only as wood producers so that the existence of forests can be maintained [19].…”

Section: Figure 2 Slope Map Of Organic Forest Areamentioning

confidence: 99%

Critical Land Conservation to Save Biodiversity, Case Study: Organic Forest, Megamendung, Bogor, Indonesia

Afrianda,

Yasin

2023

TSSJ

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The Muara Karang steam power plant is one of the power plants in Indonesia which is managed by PT PLN Nusantara Power as a state-owned company. In carrying out its business, it has potential impacts on the environment, one of which is on biodiversity. The aim of this research is to analyze the potential of biodiversity resources by conserving critical land in the Organic Forest, Megamendung, Bogor, Indonesia. The method used is a natural forest model scenario including organic farming, reforestation, and sustainable organic farming in a natural rehabilitation process. Rehabilitation is carried out using an agroforestry system, intercropping between forestry and agricultural crops, and fertilization using manure. This planting was carried out by the community as a form of empowerment which succeeded in creating jobs as farmers and participating in managing the forest. As a start, 3,000 tree seeds and intercrops such as edamame, corn, cassava, and taro have been planted. The results of this research in monitoring in 2022, the proportion of tree habitat increased from 40% to 54%, the diversity index (H') of birds increased from 2.17 to 3.22, H' of mammals from 1.76 to 2.05, H' of herpetofauna from 2.08 to 2.82, and H' of arthropods from 3.73 to 3.87.

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“…В качестве критерия выступает среднее квадратическое рассогласование между рассчитанными на моделях значениями приземных концентраций и значениями, полученными в результате измерений. Аналогичный метод оценки локализации источников и интенсивности выбросов предлагается в работе [7] с помощью моделирования на основе AERMOD.…”

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The method of preliminary localization of source of excessive air pollution to increase effectiveness of environmental monitoring and supervision in Russia

Shtripling¹,

Bazhenov²,

Kalinin³

et al. 2019

OSB

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л. о. шТриплинг В. В. БАженоВ Ю. В. КАлИНИН н. С. БАженоВА В. В. мерКУлоВ Омский государственный технический университет, г. Омск меТоД преДВАриТельной лоКАлизАции иСТочниКА СВерхнормАТиВного зАгрязнения АТмоСферного ВозДУхА КАК СпоСоБ поВышения эффеКТиВноСТи эКологичеСКого мониТорингА и нАДзорА В роССии Проблема загрязнения атмосферного воздуха остро стоит во многих городах, несмотря на развивающееся природоохранное законодательство и внедрение на промышленных предприятиях более экологичного и эффективного оборудования. Основная проблема сводится именно к локализации источника загрязнения, выбросы которого привели к нарушению качества атмосферного воздуха. Наше исследование направлено на локализацию области расположения источника сверхнормативного загрязнения и его выявление в максимально короткие сроки. В работе представлен алгоритм предварительной оценки расположения источников загрязнения, выбросы которых могли привести к превышению допустимых концентраций в воздухе. Полученные результаты могут быть использованы в работе органов государственной власти в области охраны окружающей среды. Ключевые слова: загрязнение атмосферы, сверхнормативный выброс, мониторинг загрязнения воздуха, поиск источника загрязнения, анализ загрязнения атмосферы, источник выброса загрязняющих веществ.

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Source localization via aermod-based simulation under mean squared error criterion: Demonstration using field data

Cited by 5 publications

References 3 publications

RESILIENT: A robust statistical method for estimating multiple VOC sources from limited field measurements

RESILIENT: A robust statistical method for estimating multiple VOC sources from limited field measurements

Critical Land Conservation to Save Biodiversity, Case Study: Organic Forest, Megamendung, Bogor, Indonesia

The method of preliminary localization of source of excessive air pollution to increase effectiveness of environmental monitoring and supervision in Russia

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