PASSPORTATION OF SOURCES OF NON-CENTRALIZED WATER SUPPLY OF THE VILLAGE OF POROMIV, VOLYN REGION
Notice bibliographique
Résumé
The article is devoted to the problems of studying the quality of drinking water from decentralized water supply sources of rural settlements. The preparatory stage of the study included: creation of a cartographic basis of the settlement; field reconnaissance routes; express analysis of drinking water quality; creation of situational plans of wells locations, and the basis for the ecological passport of the source of decentralized individual water supply (well). The relevance of the study is due to the deterioration of the quality of water as a source of domestic water supply. This is especially true for the rural population. There is a need to conduct an inventory and certification of wells in accordance with European standards and requirements, as well as modern technical and information capabilities. The ecological passport of a natural object is a system of diagnostic characteristics that allow one to get an idea of its condition and develop ways to improve it. In the process of researching the issue of certification of drinking water sources, we analyzed the accounting systems of these facilities in Canada and Germany. Our sample environmental passport was developed based on a study of groundwater in the village of Poromiv, Volyn region of Ukraine. The quality of drinking water is influenced by both the natural factors – geological structure and climate, and the intensive economic development of the surrounding area. The sample consisted of 40 wells. We used theoretical research methods: analysis, synthesis, abstraction and idealization. Such approaches implied the search for relationships between topological, hydrological and chemical parameters of individual observation points, as well as the ability to build idealized regression models to delineate areas for certification and detailed research. The formation of the information database was carried out using the methods of empirical knowledge. In particular, visual observations have identified potential sources of contamination (private farms – livestock sites, latrine pits, farmland, and infrastructure). They can affect the condition and quality of water in wells. With the help of a level meter, pH-meter, TDS meter and rapid tests for nitrates, the measurements of qualitative indicators that determine the overall hydrochemical state of groundwater were carried out. The general observations revealed non-compliance with the norms of placement of these objects. In particular, in many cases the norms of distance from sheds (more than 20 m) and cesspools (more than 50 m) relative to wells were violated. In addition, there is a general tendency to neglect the rules of formation of cesspools and manures, which contributes to the ingress of pollutants into the soil and subsequently into groundwater. In general, the accounting of wells and their diagnostic characteristics was developed in the form of a database in the ArcGIS environment and a passport of a separate source of water supply. It is proposed to add a situational plan with the location of the water supply source for the main polluting objects to the general technical characteristics. The number of indicators in the passport table can be adjusted depending on the potential sources of pollution and the abilities to monitor the water quality of a particular water user. The purpose of forming documentation of this type is to account and record the problems arising in the arrangement, location and operation of the well for their further solution. This will be the basis for identifying areas vulnerable to nitrate contamination. We identified a number of violations in the location of water supply sources in relation to economic facilities and structures within the study area, which was reflected in the increase of general hydrochemical indicators. Relationships between building density and quantitative values of pH, mineralization and nitrate content were recorded. The final step of the research is to identify problematic sources of decentralized water supply from the viewpoint of population ecological well-being, as well as to develop proposals for the community and individual owners to improve the quality of drinking water. Keywords: well, water supply, ecological passport, sources of pollution.
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 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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 ».