Impacts de la qualité des ressources en eau sur la biodiversité de l’écosystème aquatique du lac de Technopole et sur les produits agricoles dans cette zone humide de Pikine (Dakar, Sénégal)
Bibliographic record
Abstract
L’objectif général de ce travail était l’évaluation de la qualité des ressources en eau dans cette zone humide du Technopole de Pikine afin d’étudier les risques de dégradation de la biodiversité de l’écosystème aquatique et des produits agricoles. Ainsi, vingt-sept (27) prélèvements de ces différentes ressources en eau ont été analysés. L’étude montre la salinité du lac élevée (21g/L), provoquerait la mort de certaines espèces aquatiques, animales et végétales. En plus, les concentrations excessives des MES (85,9 mg/L), de la DCO (1789 mg/L) et de l’azote total (67,6 mg/L) diminuent l’oxygène dissous ce qui a provoqué l’absence de poissons et d’autres animaux aquatiques dans les zones du lac proche de la station d’épuration du Technopole. En ce qui concerne les eaux usées traitées et utilisées pour l’irrigation, les teneurs des MES, de la DCO et de l’azote total sont en moyenne 25 fois, 8 et 9 fois plus élevées que leur valeur limite respectivement sans compter la charge microbienne excessive (1 006 650 U/100mL). Par conséquent, une dégradation de la biodiversité et une baisse des rendements agricoles ont été constatées d’où la nécessité d’explorer la phytoépuration de ces ressources en eau dans cette zone du Technopole. English title: Quality impact of water resources on the lake's aquatic ecosystem biodiversity of Technopole and on agricultural products in this Pikine wetlandThe general objective of this work was to assess the quality of water resources in this wetland of the Pikine Technopole in order to study the risks of degradation of the biodiversity of the aquatic ecosystem and the agricultural products. Thus, twenty-seven (27) samples from these different water resources were analyzed. The study shows the high salinity of the lake (21g/L), would cause the death of certain aquatic, animal and plant species. In addition, excessive concentrations of suspended solids (85.9 mg/L), COD (1789 mg/L) and total nitrogen (67.6 mg/L) decrease dissolved oxygen, which caused the Absence of fish and other aquatic animals in the areas of the lake near the Technopole wastewater treatment plant. With regard to wastewater treated and used for irrigation, the contents of suspended solids, COD and total nitrogen are on average 25 times, 8 and 9 times higher than their limit value respectively without taking into account the load excessive microbial (1,006,650 U/100mL). Consequently, a degradation of biodiversity and a drop in agricultural yields have been observed, hence the need to explore the phytopurification of these water resources in this area of the Technopole.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".