scholarly journals FLOOD RECONSTRUCTION OF 1st JANUARY 2020 STORM IN AN URBAN HOUSING AREA OF TANGERANG SELATAN, INDONESIA

2021 ◽  
pp. 171-182
Author(s):  
Marelianda AL DIANTY ◽  
Frederik J. PUTUHENA ◽  
Darrien Y.S. MAH ◽  
Rosmina A. BUSTAMI ◽  
Fachrian KANAFANI
Keyword(s):  
Urban Housing ◽  
Housing Area

Thinking on Redevelopment of Old Urban Housing Area in the Viewing Angle of Peoples Livelihood Happiness

2014 ◽  
Vol 507 ◽  
pp. 631-637
Author(s):  
Chen Guang Wang ◽  
Chao Jun Chen ◽  
Yao Zhi Huang
Keyword(s):  
Urban Housing ◽  
Viewing Angle ◽  
The Core ◽  
Housing Area ◽  
People First ◽  
Urban Livelihood

In the redevelopment of current old urban housing area, the benefits and living needs of the disadvantaged are neglected and the problems of space disorder, unbalanced interests, context deconstruction and wasting of resources are prominent. Starting from peoples livelihood happiness, the author discusses the connotation and meaning of peoples livelihood happiness, analyzes the problems of existing in the redevelopment of current old urban housing area, and then proposes the thinking on redevelopment of old urban livelihood housing area under this value guidance, that is to adhere to the core objective of people-first and paying attention to happiness perception and benefit realization of the disadvantaged.

scholarly journals Analysis Reducing Slum Settlement by Road Improvement (A Case Study: Jawa Lama Village Village, Lhokseumawe, Aceh-Indonesia)

2019 ◽  
Vol 8 (1) ◽  
pp. 20-28
Author(s):  
Herman Fithra ◽  
Sisca Olivia ◽  
Deassy Siska
Keyword(s):  
Research Team ◽  
Residential Development ◽  
Urban Housing ◽  
Study Data ◽  
Regional Mapping ◽  
Residential Areas ◽  
Housing Area ◽  
Physical Infrastructure

a slum will cause many problems for many cities. The urbanization factor is one of the causes of slums due to the limited urban housing area. In general, there are seven slum indicators that can determine the quality of residential areas, one of which is physical infrastructure. Infrastructure conditions are interrelated with residential development. This study analyzes seven indicators of slums in Jawa Lama Village, Lhokseumawe, Aceh-Indonesia. In this study, the research team used data surveys with field tracking and field documentation from city roads. Documented data includes field photos and regional mapping that shows the location of the study. Data that has been collected can be used to determine urban facilities and infrastructure that are very influential for slums in the study area.

Design Inflow Intensity and Design Inflow Profiles for Storm Sewers

1984 ◽  
Vol 16 (8-9) ◽  
pp. 207-218 ◽  
Author(s):  
Frans H M van de Ven
Keyword(s):  
Return Period ◽  
Gumbel Distribution ◽  
Extreme Value Distribution ◽  
Data Series ◽  
Design Discharge ◽  
Common Location ◽  
Housing Area ◽  
Parking Lot ◽  
Box Cox Transformation ◽  
Frequency Curves

Twelve year records of rainfall and of sewer inflow data in a housing area and in a parking lot in Lelystad were available. These data series contained 5-minute depths of rainfall and sewer inflow. Depth-duration-frequency curves were calculated from the monthly extremes, using Box-Cox transformation and a Gumbel distribution. The differences between the curves for rainfall and for inflow are explained by inertia and rainfall losses. These differences are the reason to use inflow as a sewer design parameter. Forthe choice of the design discharge (or inflow) intensity the curves are not well suited. Storage-design,discharge-frequency curves proved to be better interprétable. The selected design discharge is 4 or 5 m3/s/km2. For non-steady flow calculations in sewer systems an inflow profile has to be provided. The prof ileshould be peaked. The most common location of the peak lies between 20 and 50% of the event duration. The return period of the profile has to be known. A bivariate extreme value distribution is used to estimate this return period. From these distributions synthetic inflow profiles could be calculated.

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