En tr Climate change and global warming are among the issues that humanity is most concerned about the future. The growing drought and flood risks that increase despite the taken measures have led to the adoption of an integrated understanding on the topic of water management in recent years. To manage the increased risk of drought and to make sustainable planning, the dimensions of drought should be known first. For this purpose, many drought indices have been developed. The Normalized Difference Vegetation Index (NDVI) and Vegetation Condition Index (VCI), which determined by remote sensing, are two of these. In this study, in which the agricultural drought was analyzed with vegetation indices by taking into consideration the historical drought archive, the Asi Basin was addressed. The data of the Asi Basin, which covers an area of 7800 km² and was obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) and Advanced Very High-Resolution Radiometer (AVHRR) satellites, was used in this study. With the satellites benefited in remote sensing and with the Coordination of Information on the Environment (CORINE), where the layers of vegetation were determined, agricultural and forest areas were evaluated separately. The vegetation indices, which change with the increase in temperature, have revealed the necessity of a long-term drought management for the Asi Basin. Result of the work pointed that NDVI index is more appropriated to the Asi Basin than the VCI index to monitor drought. Climate change and global warming are among the issues that humanity is most concerned about the future. The growing drought and flood risks that increase despite the taken measures have led to the adoption of an integrated understanding on the topic of water management in recent years. To manage the increased risk of drought and to make sustainable planning, the dimensions of drought should be known first. For this purpose, many drought indices have been developed. The Normalized Difference Vegetation Index (NDVI) and Vegetation Condition Index (VCI), which determined by remote sensing, are two of these. In this study, in which the agricultural drought was analyzed with vegetation indices by taking into consideration the historical drought archive, the Asi Basin was addressed. The data of the Asi Basin, which covers an area of 7800 km² and was obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) and Advanced Very High-Resolution Radiometer (AVHRR) satellites, was used in this study. With the satellites benefited in remote sensing and with the Coordination of Information on the Environment (CORINE), where the layers of vegetation were determined, agricultural and forest areas were evaluated separately. The vegetation indices, which change with the increase in temperature, have revealed the necessity of a long-term drought management for the Asi Basin. Result of the work pointed that NDVI index is more appropriated to the Asi Basin than the VCI index to monitor drought.

Taşkın, son yıllarda iklim değişikliği ve şehirleşmenin de etkisiyle sayısız zararlara yol açan bir afet durumuna gelmiştir. Taşkının zamanını, büyüklüğünü ve şiddetini bilmek; etkilerini azaltmak için son derece önemlidir. Taşkının hidrolik modellemesinin yapılarak etki alanı tahmin edilebilir. Bunun için de maksimum taşkın debisini bilmek gerekir. İstatistik, sentetik ve hidrolojik model yöntemleri ile hesaplanan taşkın debisinin oluşturduğu taşkın hidrografı, hidrolik modele altlık olur ve taşkın risk haritaları belirlenebilir. Bu çalışmada Mockus, Snyder, Rasyonel ve DSİ sentetik yöntemleri ile taşkın frekans analizi ve ayrıca MIKE hidrolojik model programı yardımıyla taşkın pik debileri, 21682,8 km2 alana sahip Doğu Akdeniz Havzası için bulunmuştur. Sonuç olarak geniş bir havzada çok sayıda gözlem istasyonu yardımıyla da yapılan değerlendirmede, havza büyüklüğüne göre en uygun taşkın debisi tahmin yöntemleri belirlenmiştir.