Investigation of water quality changes in river systems used for power generation - modelling of the changes in the elements of ecological status of water
Notice bibliographique
Résumé
The deposited data are part of the project "Investigation of water quality changes in river systems used for power generation - modelling of the changes in the elements of ecological status of water" (implementation period: 03.2022 - 02.2026) received from the National Science Centre under the PRELUDIUM program (number 2021/41/N/ST10/01450).Research hypotheses are as follows:• Energy use of rivers affects the water quality (ecological status / potential) of rivers that flow through them. A set goal, familiarization with the literature and available research objects prompted the author of the project to answer this question.• The use of research on changes in water quality and the state of ecosystems within hydropower buildings may be the basis for the analysis of the state of functioning of such facilities, whose energy production should take into account a wide range of natural conditions.• Factors determining changes in water quality and ecological status within hydro-energetic structures and their mutual relations depend on their condition, complexity and local variability.The research was conducted at the Wroclaw University of Environmental and Life Sciences.The data set contain files packed in a .zip archive. It contains raw data on physicochemical analyses and water quality indices performed within six hydropower plants on the Bóbr River (in the towns of Ciechanowice, Janowice Wielkie, Jelenia Góra, Pilchowice, Kraszowice, Stara Oleszna), in 19 research points. The points are grouped according to their location in relation to hydropower plants, i.e.: R - reference points: 1, 4, 7, 10, 11, 14, 19, U - upstream from the hydropower plants: 2, 5, 8, 12, 15, 17, and D - downstream from the hydropower plants: 3, 6, 9, 13, 16, 18. Each file contains data for a different physicochemical parameter (18 files in total and 1 file about general information) and water quality index (5 files).The results were collected during field studies (in situ) and determined at the Environmental Research Laboratory of the Wroclaw University of Environmental and Life Sciences (ex situ).Physicochemical parameters of water (file "Physicochemical_raw_data") were determined using the following methods (analyses performed within 24 hours of water collection):- pH - potentiometric method (PN-EN 10523:2012) and pH sensor (tester HI98129; in situ)- Electrical conductivity (EC; µS/cm) - conductometric method (PN-EN 27888:1999) and conductivity sensor (tester HI98129; in situ)- Ammonium nitrogen (NH4-N; mg/L) - spectrophotometric method (PN-ISO 7150:2002)- Nitrate nitrogen (NO3-N; mg/L) - spectrophotometric method (PN-82C-04576/08)- Nitrite Nitrogen (NO2-N; mg/L) - spectrophotometric method (PN-EN 26777:1999)- Kjeldahl Nitrogen (KN; mg/L) - method after mineralization (Se) (PN-EN 25663:2001)- Organic Nitrogen (ON; mg/L) - calculation method (ON = KN - NH4-N)- Total Nitrogen (TN; mg/L) - calculation method (KN+NO3-N+NO2-N)- Total Phosphorus (TP; mg/L) - spectrophotometric method (PN-EN 1189-2000)- Phosphate phosphorus (PO4-P; mg/L) - spectrophotometric method (PN-ISO 6878:2006)- Dissolved Oxygen (DO; mg/L) - electrochemical sensor (ISO 5813:1983 )- Biochemical oxygen demand (BOD5; mg/L) - dilution method (PN-EN 1899-1:2002)- Chemical Oxygen Demand (COD; mg/L) - permanganate method (PN-74/C-04578.03)- Total Suspended Solids (TSS; mg/L) - filtration through glass-fibre filters (PN-EN 872:2007)- Total Dissolved Solids (TDS; mg/L) - filtration through glass-fibre filters (PN-C-04616/01)- Temperature (°C) - temperature sensor (tester HI98129; in situ)The second archive ("Water_quality_indices") includes results for the following water quality indices: the Canadian Council of Ministers of the Environment Water Quality Index (CCME WQI), the Oregon Water Quality Index (OWQI), the Overall Index of Pollution (OIP), the Dinius Water Quality Index (DWQI) and the Universal Water Quality Index (UWQI).More details about the materials and methods used are provided in the publications associated with the dataset.These data were developed as part of the articles:1) "Small hydropower impacts on water quality: a comparative analysis of different assessment methods"2) "Toxicity indices-based insights for sustainable sediment management in hydropower-regulated river systems"3) "Adapting soil fertility indices to evaluate sediment quality in rivers used for hydropower generation"4) "Integrated Water Quality Indices as Tools for Evaluating Small Hydropower Impacts"5) "Potential and prospects for hydropower development: Example of the Odra River basin in Poland".
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».