Water facility repair cost

Description

This analysis estimates the repair costs of water facilities for different simulation scenarios based on their damage states, replacement costs, and damage ratios.

Contributors

• Implementation: Hesam Talebiyan, Chen Wang, and NCSA IN-CORE Dev Team

Input Parameters

key name	type	name	description
result_name *	str	Result name	Name of the result dataset.
num_cpu	int	Number of CPUs	If using parallel execution, the number of cpus to request.

Input Datasets

key name	type	name	description
water_facilities *	ergo:waterFacilityTopo	Water Facilities	Water Facilities.
replacement_cost *	incore:replacementCost	Replacement Cost	Repair cost of the node in the complete damage state (= Replacement cost).
sample_damage_states *	incore:sampleDamageState	Sample Damage States	Sample damage states from Monte Carlo Simulation.
wf_dmg_ratios *	incore:waterFacilityDamageRatios	Damage Ratios Table	Damage Ratios Table.

Output datasets

key name	type	name	description
result *	incore:repairCost	Repair Cost	A csv file with repair cost and budget for each water facility.

(* required)

Execution

code snippet:

    client = IncoreClient()
    
    wf_repair_cost = WaterFacilityRepairCost(client)

    wf_repair_cost.load_remote_input_dataset("water_facilities", water_facility_id)
    wf_repair_cost.load_remote_input_dataset("replacement_cost", replacement_cost_id)

    # can be chained with MCS
    wf_repair_cost.load_remote_input_dataset("sample_damage_states", sample_damage_states_id)

    # dmg ratiose
    wf_repair_cost.load_remote_input_dataset("wf_dmg_ratios", wf_dmg_ratios_id)

    wf_repair_cost.set_parameter("result_name", "wf")
    wf_repair_cost.set_parameter("num_cpu", 4)

    # Run Analysis
    wf_repair_cost.run_analysis()

full analysis: water_facility_repair_cost.ipynb