scholarly journals FORECASTING SOLID MEDICAL WASTE DEMAND USING EXTRAPOLATIVE DAILY DATA SETS: A CASE STUDY OF A MEDICAL SOLID WASTE PROCESSING SERVICE PROVIDER IN INDONESIA

2019 ◽  
Vol 95 (11) ◽  
pp. 154-165
Author(s):  
R. Gumilar ◽  
E. Maulina ◽  
R. Arifianti
Keyword(s):  
Solid Waste ◽  
Service Provider ◽  
Medical Waste ◽  
Data Sets ◽  
Waste Processing ◽  
Daily Data ◽  
Processing Service

Modelling, Composition and production rate of medical solid waste in Tikrit: A case study of Tikrit Teaching Hospital (TTH) in Iraq

2018 ◽  
Vol 1 (2) ◽  
pp. 73-83
Author(s):  
Haneen Ahmed Khudhair
Keyword(s):  
Solid Waste ◽  
Hazardous Waste ◽  
Teaching Hospital ◽  
Specific Weight ◽  
Medical Waste ◽  
Average Moisture Content ◽  
Daily Production ◽  
Number Of Patients ◽  
Obstetric Department

Tikrit Teaching Hospital (TTH), Tikrit, Iraq, was selected for investigation as a case study. Data collection was carried out during TTH visits and by questionnaires. Sampling was performed during a 10-month period, one week each sampling month. The medical waste analyzed was comprised of 63.04% general waste (non-risk) and 36.96% hazardous waste. The results indicated that the medical waste generation rate is 0.9 kg/bed.day and 0.75 kg/patient.day. Statistically significant linear correlations were established between the daily production of medical solid waste and the respective number of patients and the occupied beds in TTH as whole. Based on the average daily production of medical solid waste  produced by the departments of TTH (kg /d), the larger producer of general medical solid waste was obstetric department with average daily production of 25 kg/d, while the larger producer of hazardous medical solid waste was obstetric department with average daily production of 11 kg/d. The average specific weight of total medical waste, general waste, and hazardous waste were determined to be 218.6, 206.5 and 225.54 kg/m3, respectively. The average moisture content of total medical waste, general waste, and hazardous waste were determined to be 21, 20.4 and 23.4 %, respectively. The average general medical waste composition was: 40% organics, 21% plastics, 19% paper, 11% glass and 9% metals. Pathological wastes and sharp objects comprised 43% and 25% of the hazardous medical waste components.   © 2018 JASET, International Scholars and Researchers Association

Municipal Solid Waste (MSW) Organic Fraction to Energy. Cuban Case Study. Brief Considerations

2016 ◽  
Vol 2 (2) ◽  
pp. 39-44
Author(s):  
Oscar Cabeza ◽  
◽  
Alfredo Alonso ◽  
Yoel Lastre ◽  
Jorge Medina ◽  
...  
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Organic Fraction

Solid Waste Generation of Household in Azad Kashmir: Case Study of Mirpur

2018 ◽  
Author(s):  
Waqas mname Ali ◽  
Rashid mname Khalil ◽  
Shujahat mname Ali
Keyword(s):  
Solid Waste ◽  
Waste Generation ◽  
Solid Waste Generation ◽  
Azad Kashmir

scholarly journals Segment-Based Approach for Assessing Hazard Risk of Coastal Highways in Hawai‘i

2019 ◽  
Vol 2673 (1) ◽  
pp. 83-91 ◽  
Author(s):  
Harrison Togia ◽  
Oceana P. Francis ◽  
Karl Kim ◽  
Guohui Zhang
Keyword(s):  
Qualitative Method ◽  
Data Sets ◽  
Regional Environment ◽  
The Road ◽  
Hazard Exposure ◽  
Multiple Indicators ◽  
System Data ◽  
Rural Highway ◽  
Geographic Information System Data

Hazards to roadways and travelers can be drastically different because hazards are largely dependent on the regional environment and climate. This paper describes the development of a qualitative method for assessing infrastructure importance and hazard exposure for rural highway segments in Hawai‘i under different conditions. Multiple indicators of roadway importance are considered, including traffic volume, population served, accessibility, connectivity, reliability, land use, and roadway connection to critical infrastructures, such as hospitals and police stations. The method of evaluating roadway hazards and importance can be tailored to fit different regional hazard scenarios. It assimilates data from diverse sources to estimate risks of disruption. A case study for Highway HI83 in Hawai‘i, which is exposed to multiple hazards, is conducted. Weakening of the road by coastal erosion, inundation from sea level rise, and rockfall hazards require adaptation solutions. By analyzing the risk of disruption to highway segments, adaptation approaches can be prioritized. Using readily available geographic information system data sets for the exposure and impacts of potential hazards, this method could be adapted not only for emergency management but also for planning, design, and engineering of resilient highways.

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