Doctoral dissertations
Permanent URI for this collection
Browse
Browsing Doctoral dissertations by Subject "Algeria."
Now showing 1 - 1 of 1
Results Per Page
Sort Options
Item Open Access Assessing the quality of continental wetlands through the use of ecological indicators(University of M'Sila, 2024-07-24) Hadjer KERIAWetlands are regarded locally and globally as vital environments of great biological and economic importance and play an important role in the conservation of biodiversity and the preservation of ecosystems. However, wetlands face many challenges and major crises that threaten their long-term sustainability. Long-term monitoring to determine the volatility of these water systems is crucial while examining climate change and the causes of the droughts they face. In this research, we presented a long-term variation of remote sensing indicators in 26 areas of Algeria's wetlands by integrating various sources of Modis and Landsat satellites. A time series has been developed for 22 years and 40 years, respectively, combined with climate changes. Research to study pollution in these environmental systems and to determine its source has been extended through various indicators to comprehensively assess the scale of mineral pollution in Algeria's surface waters and its potential public health effects. and study predictions using synthetic neural networks (ANN). The results indicated that 70% of this land experienced a significant reduction in vegetation in the seasonal and annual periods. A decrease in surface water area from year to year was observed in all regions, and the negative relationship between the vegetation index and climate changes showed the impact of drought and its rise in varying proportions, especially in summer and autumn, with a time delay of at least one month. NDMI results also indicate water stress in water bodies and a low water level. On the other hand, high levels of heavy metals were recorded in water bodies, as more than 99% of samples showed significant pollution levels according to HPI, while 60% showed high pollution levels according to HEI. The study revealed that RMS values for all heavy metal models have minimal error values throughout the test phase, and the developed models showed R2 values that exceeded 0.5 during the test.