{"doi":"10.2166/aqua.2024.075","title":"Characterisation of basin water allocation benefit function using a sigmoid-type S-curve logistic equation","abstract":"<jats:title>ABSTRACT</jats:title>\n               <jats:p>As water allocation (WA) is reduced due to water scarcity in a river basin, the benefit function for the domestic water users and the economic sectors declines accordingly. Using the sigmoid-type equation, which is ubiquitous in natural and man-made systems, this study shows that the S-curve behaviour can be seen in a broad range of basin WA scenarios. A questionnaire survey reveals that progressive water supply cutback results in a mild initial hassle but builds up to an elaborate inconvenience and subsequently a diminished shock to the water users. The economic benefit of water consumption based on 8-year data of states in Malaysia shows evidence of the S-curve characteristics where lesser developed states tend to benefit more as water consumption increases. The model allows the sectorial benefit (and impact) level to be approximated as a function of basin water availability. The mathematical quantification, in lieu of qualitative descriptors, is useful as an integral component in water prioritisation and WA decision-making to provide an empirical assessment of optimum basin-wide benefit.</jats:p>","journal":"AQUA — Water Infrastructure, Ecosystems and Society","year":2024,"id":39234,"datarank":0.10397207708399181,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"self_citation_contribution":0.10397207708399181,"citation_network_contribution":0.0,"self_endowment_contribution":0.10397207708399181,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"citer_count":1,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":193120,"name":"Wei Koon Lee","orcid":"0000-0003-3910-4870","position":1,"is_corresponding":false},{"id":193121,"name":"Foo Hoat Lim","orcid":null,"position":2,"is_corresponding":false},{"id":193119,"name":"Ahmad Fakhri Ishak","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"18998881","pmcid":null,"openalex_id":"https://openalex.org/W4393854737","authors":[],"funders":[],"total_grants":0,"fwci":0.3052,"citation_percentile":0.52139225,"influential_citations":0,"citation_trend":[{"year":2025,"count":1}],"oa_status":"gold","license":"cc-by","oa_locations":[{"url":"https://iwaponline.com/aqua/article-pdf/doi/10.2166/aqua.2024.075/1397702/jws2024075.pdf","host_type":"journal"},{"url":"https://iwaponline.com/aqua/article-pdf/doi/10.2166/aqua.2024.075/1397702/jws2024075.pdf","host_type":"GOLD"},{"url":"https://iwaponline.com/aqua/article-pdf/doi/10.2166/aqua.2024.075/1397702/jws2024075.pdf","host_type":"publisher"},{"url":"https://iwaponline.com/aqua/article-pdf/73/5/1048/1424534/jws0731048.pdf","host_type":"publisher"},{"url":"https://doi.org/10.2166/aqua.2024.075","host_type":"journal"},{"url":"https://doaj.org/article/cc5176f39ae04536b83623c3a2b664b7","host_type":"repository"}],"fields_of_study":["Water resources management and optimization","Environmental Science","Economics"],"mesh_terms":[],"keywords":["Sigmoid function","Logistic function","Type (biology)","Logistic regression","Function (biology)","Structural basin","Mathematics","Statistics","Applied mathematics","Econometrics","Geology","Computer science","Artificial intelligence","Geomorphology","Biology","Paleontology"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Clean water and sanitation"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-06-11T18:04:39.024493Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}