ANALISIS CEMARAN LIMBAH INDUSTRI DAN DOMESTIK TERHADAP BIOTA LAUT DI PERAIRAN KOTA TANJUNGPINANG, PROVIPNSI KEPULAUAN RIAU
Pourquoi ce travail est dans la base
Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.
Notice bibliographique
Résumé
Industrial sector is the second priority in development of Tanjungpinang city. The mining industry, processing industry, transport and food are thriving . People has the opinion that a small industry is an industry that does not threaten the environment, so that the small-scale industrial waste are sometimes were forgotten due to it is not significant, and not too dangerous, whereas the B3 waste contained in domestic waste can cause disturbance of marine life and the ecosystem this will have potential to destroy the ecosystem. This study aims to explain the impact of B3 and domestic waste pollution to the environment, especially marine waters to marine life, and feedback to the provincial government for the formulation strategy of the management of the Tanjungpinang waters environment. For the analysis, 10 water samples and 15 aquatic biota was taken at different locations. While the quantitative analysis of pollutants carried by observing a population of the elements of hazardous substances from sediment samples, water and biota network. XRF techniques (X-Ray Fluorescence) and AAS (Atomic Absorbance Spectroscopy) used for the analysis content of the samples. The pollution index determined by compare metal concentration ratio the polluted areas with the standard metal concentration areas that were not polluted. The results show that the coastal water of tanjungpinang have been contaminated by heavy metals (As, Cd, Cu , Pb, Zn, and Ni) with pollution index 2.91 - 5.96. The pollutant Metals were came from the human activities in the shipbuilding industry usually Pb and Zn which is the main component of the paint. While heavy metals such as arsenic (As), Cadmium (Cd), copper (Cu) probably derived from bauxite mining activity, the high levels of nitrate is a sign of agricultural activities that use fertilizers. Unfortunately the rest of it discharged into the coastal waters of Tanjungpinang city, and there is also pollution of E-coli from human waste. Biota that live in the waters of Tanjungpinang have been contaminated by heavy metals (Hg, Zn, and Ar) by bioaccumulation. The related activity of the pollutant was the bauxite processing industry in the past. Heavy metal pollution is highest in Kijing (Pilsbryoconcha exillis) which includes : Hg, Cr, As, Cu, Zn, Ni, and the dimersal fish that have limited movement. Feedback given is that provincial governments do mangrove reforestation along the coast and estuaries, and create marine conservation areas determination of areas (KKLD) in the strait Dompak water. Key Words : heavy metals, marine life, coastal water of tanjungpinang, mangrove
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.
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 découle