The effect of motorized vehicle emission toward lead accumulation and rice productivity alongside the uphill of Paguyangan main road, Brebes Regency

Yulianto, Arif; Anwar, Arif; Sakhidin, S; Herliana, Okti

doi:10.15243/jdmlm.2019.063.1803

Cited by 3 publications

(3 citation statements)

References 8 publications

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“…Penelitian yang sama dilaporkan oleh Yan et al (2012) dimana jarak lahan dari jalan tidak mempengaruhi kandungan Pb di lahan pertanian di sepanjang jalan. Peningkatan kandungan Pb tanah pada lahan sawah di sepanjang jalan tidak menunjukan pola yang sama terhadap jarak dari jalan (Hui et al, 2017;Pivić et al, 2013;Yulianto et al, 2019)…”

Section: Hasil Dan Pembahasan 31 Kandungan Pb Tanahunclassified

“…Penelitian yang dilakukan oleh Amelia, et al (2015) juga melaporkan bahwa kandungan Pb pada bulir padi yang diambil dari Dusun Betas, Desa Kapulungan, Gempol-Pasuruan melebihi baku mutu dengan nilai rata-rata 1,34 ppm. Kandungan Pb pada bulir padi yang ditanam pada jarak 25 meter dari pinggir jalan bahkan mencapai 25,54 ppm (Yulianto et al, 2019).…”

Section: Kapasitas Tukar Kation (Ktk)unclassified

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Pengaruh Emisi Kendaraan Terhadap Kandungan Logam Timbal (Pb) Tanah dan Bulir Padi pada Lahan Sawah di Kecamatan Tebas Kabupaten Sambas

Manurung,

Oktoriana,

Suharyani

2022

J. Ilmu Lingk.

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Lead (Pb) is one of most toxic pollutants. The main sources of Pb comes from industrial and vehicle gases. Lead contained in gas from vehicle will be absorbed and accumulated in the soil. Leads in the soil, especially in paddy soil alongside highway with many vehicles have a potential to be absorbed and accumulated in the grain. Solubility of Pb in the soil affecting the absorption of paddy is controlled by soil properties such as texture, organic matter, pH and cation exchange capacity. The research aims to study the effect of vehicle emission on Pb content in the soil, soil properties that influences the presences of Pb in the soil and its accumulation in grain. The research was conducted in paddy soil located alongside the highway of Sambas Regency as a rice producing center in West Kalimantan. Distance of soil and grain samplaing from the road will be used as a treatment to observe the effect of vehicle emission on Pb content, ie 0 – 50 meters, 50 – 100 meters and more than 100 meters. Soil samples were taken at 0-20 cm and 20-50 cm depth. Soil samples and grains are destracted by using nitric acid, hydrogen peroxide and perchloric acid. Furthermore, Pb content was measured using Atomic Absorbtion Spectrophotometry (AAS). The results showed that there is no effect of land distance from the road to the soil content. The average Pb content at 0-50 m, 50-100 m and more than 100 m at a depth of 0-20 cm were 29,62 ppm, 31,57 ppm and 35,03 ppm, respectively. While the average Pb content at a depth of 20-50 cm, respectively, were 27,16 ppm, 32,53 ppm and 35,97 ppm. The presence of Pb in the soil is significantly correlated with sand and clay fraction. The content of Pb on grains is above the tolerance limit (0,5 ppm) of Pb content in food, fruits and vegetables. Pb content is from 2,07 ppm to 5,10 ppm.

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Section: Hasil Dan Pembahasan 31 Kandungan Pb Tanahunclassified

Section: Kapasitas Tukar Kation (Ktk)unclassified

Pengaruh Emisi Kendaraan Terhadap Kandungan Logam Timbal (Pb) Tanah dan Bulir Padi pada Lahan Sawah di Kecamatan Tebas Kabupaten Sambas

Manurung,

Oktoriana,

Suharyani

2022

J. Ilmu Lingk.

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“…Dust is accounted as the primary source of pollution by heavy metals (HMs), which leads to the accumulation of HMs on soil surfaces due to air deposition (Alloway, 2013). Dust deposition introduces heavy metals from different natural and daily anthropogenic sources, including factory emissions, agricultural activities like soil preparations, road aerosols, car emissions, waste incineration, construction processes, and oil combustion (Kumar, 2013;Wati et al, 2015;Husnizar et al, 2018;Yulianto et al, 2019;Li et al, 2020). Dust aerosols significantly impact ecosystems and human health, and heavy metal-contaminated road dust is a primary environmental concern (Huang et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Health risks and environmental assessments of heavy metals in road dust of Ramadi, Iraq

Yousif,

Mutter,

Hassan

2024

J. Degrade. Min. Land Manage.

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Air dust is a host medium for potentially harmful substances in atmospheric emissions. Contaminated air with metals causes serious threats to human health. This research aimed to examine the features of road dust pollution and evaluate related heavy metals' health risks. All samples were collected from outdoor environments by including fifty different places in Ramadi using a soft plastic brush. Five heavy metals were evaluated in this study, including nickel (Ni), cadmium (Cd), chromium (Cr), copper (Cu), and lead (Pb). Roadside dust pollution in urban Ramadi streets was assessed using the ecological risk index (RI). Hazard quotient (HQ) and hazard index (HI) calculations were performed for all three exposure pathways (dermal contact, ingestion, and inhalation). The results showed that copper (mean = 49.520 mg/kg) and chromium (mean = 34.742 mg/kg) had the highest heavy metal concentrations, followed by nickel, lead, and cadmium. Even though cadmium was the lowest, however; its ecological risk index was higher than other heavy metals, as cadmium was determined to be higher for dermal adsorption of dust than for inhalation or ingestion in adult people.

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Studies of the effectiveness of transport sector interventions in low‐ and middle‐income countries: An evidence and gap map

Malhotra

White

Cruz³

et al. 2021

Campbell Systematic Reviews

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Background There are great disparities in the quantity and quality of infrastructure. European countries such as Denmark, Germany, Switzerland, and the UK have close to 200 km of road per 100 km2, and the Netherlands over 300 km per 100 km2. By contrast, Kenya and Indonesia have <30, Laos and Morocco <20, Tanzania and Bolivia <10, and Mauritania only 1 km per 100 km2. As these figures show, there is a significant backlog of transport infrastructure investment in both rural and urban areas, especially in sub‐Saharan Africa. This situation is often exacerbated by weak governance and an inadequate regulatory framework with poor enforcement which lead to high costs and defective construction. The wellbeing of many poor people is constrained by lack of transport, which is called “transport poverty”. Lucas et al. suggest that up to 90% of the world's population are transport poor when defined as meeting at least one of the following criteria: (1) lack of available suitable transport, (2) lack of transport to necessary destinations, (3) cost of necessary transport puts household below the income poverty line, (4) excessive travel time, or (5) unsafe or unhealthy travel conditions. Objectives The aim of this evidence and gap map (EGM) is to identify, map, and describe existing evidence from studies reporting the quantitative effects of transport sector interventions related to all means of transport (roads, rail, trams and monorail, ports, shipping, and inland waterways, and air transport). Methods The intervention framework of this EGM reframes Berg et al's three categories (infrastructure, prices, and regulations) broadly as infrastructure, incentives, and institutions as subcategories for each intervention category which are each mode of transport (road, rail trams and monorail, ports, shipping, and inlands waterways, and air transport). This EGM identifies the area where intervention studies have been conducted as well as the current gaps in the evidence base. This EGM includes ongoing and completed impact evaluations and systematic reviews (SRs) of the effectiveness of transport sector interventions. This is a map of effectiveness studies (impact evaluations). The impact evaluations include experimental designs, nonexperimental designs, and regression designs. We have not included the before versus after studies and qualitative studies in this map. The search strategies included both academic and grey literature search on organisational websites, bibliographic searches and hand search of journals. An EGM is a table or matrix which provides a visual presentation of the evidence in a particular sector or a subsector. The map is presented as a matrix in which rows are intervention categories (e.g., roads) and subcategories (e.g., infrastructure) and the column outcome domains (e.g., environment) and subcategories as (e.g., air quality). Each cell contains studies of the corresponding intervention for the relevant outcome, with links to the available studies. Included studies were coded according to the interve...

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The effect of motorized vehicle emission toward lead accumulation and rice productivity alongside the uphill of Paguyangan main road, Brebes Regency

Cited by 3 publications

References 8 publications

Pengaruh Emisi Kendaraan Terhadap Kandungan Logam Timbal (Pb) Tanah dan Bulir Padi pada Lahan Sawah di Kecamatan Tebas Kabupaten Sambas

Pengaruh Emisi Kendaraan Terhadap Kandungan Logam Timbal (Pb) Tanah dan Bulir Padi pada Lahan Sawah di Kecamatan Tebas Kabupaten Sambas

Health risks and environmental assessments of heavy metals in road dust of Ramadi, Iraq

Studies of the effectiveness of transport sector interventions in low‐ and middle‐income countries: An evidence and gap map

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