The phrase "availability scenario" is correct and usable in written English.
It can be used in contexts related to planning, analysis, or discussions about the conditions under which something is available or accessible.
Example: "In our project, we need to consider the availability scenario to ensure that resources are allocated efficiently."
Alternatives: "accessibility situation" or "resource availability context".
Open image in new window Fig. 6 Availability scenario tree (Example 2).
Total annual plant operation cost is high in land application with low feedstock availability (Scenario 3) followed by land application with high feedstock availability (Scenario 4), biochar with low feedstock availability (Scenario 1), and biochar with high feedstock availability (Scenario 2).
According to these values, Fig. 6 provides the availability scenario tree of the unit during the study horizon considering that the unit is initially online.
A key outcome of the study is that Regression co-kriging performs better than Inverse distance weighting even for the data availability scenario when the radar network was providing lower quality radar data over the studied basin.
In this paper we assess the life cycle cost of producing biochar-based bioenergy and its land application with high and low availability scenario of biomass feedstock in NWO, Canada.
While policymakers at all levels of government continue to grapple with natural resource conservation – and consider solutions to bleak water availability scenarios – water consumption, scarcity and quality are increasingly issues of concern for companies across the globe.
The analysis was carried under two capital availability scenarios (restricted and unrestricted).
The different sequence of resource allocations produced by different algorithms leads to different resource availability scenarios which implies different probabilities of success in the acceptance a request.
A robust numerical assessment within different computational budget availability scenarios is conducted over four test functions commonly used in optimization as well as two real-world computationally intensive optimization problems in environmental and water resources systems.
The goal of this paper is to introduce an Adaptable Model for Assessing Sustainability into higher education institutions that enable the assessment of sustainability within different implementation stages and data availability scenarios.
Comparing the four methods, we observe that under all measurement availability scenarios, the proposed SS-MC scheme typically achieves the lowest reconstruction error and exhibits the most stable performance.
