De Martonne-Gottman ve Standart Yağış İndeksi yöntemleri kullanılarak kuraklığın belirlenmesi: Isparta ili örneği

Dursun, İbrahim Taha; Babalık, Ahmet Alper

doi:10.18182/tjf.944195

Cited by 8 publications

(4 citation statements)

References 17 publications

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“…The De Martonne-Gottman index (DMGI) is a modified DAI index that is obtained using the precipitation and temperature at the driest month as well as mean annual temperature and total annual precipitation. Climate characteristics based on DMGI are indicated: polar, desert, steppe semi-arid, between steppe and moist, steppe semi-humid, humid, very humid, wet for the DAI values of below 0, 0-5, 5-10, 10-20, 20-28, 28-35, 35-55, and higher than 55, respectively [34].…”

Section: Meteorological Drought Indicesmentioning

confidence: 99%

“…The Erinç drought index (EDI)is calculated by dividing total precipitation by the average maximum temperature. Then, it is classified according to the areal distribution of vegetation formations in Turkey, as follows: severe arid (<8), arid (8)(9)(10)(11)(12)(13)(14)(15), semi-arid (15)(16)(17)(18)(19)(20)(21)(22)(23), sub-humid (23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40), humid (40)(41)(42)(43)(44)(45)(46)(47)(48)(49)(50)(51)(52)(53)(54)…”

Section: Meteorological Drought Indicesmentioning

confidence: 99%

“…Afshar et al [14] MD SPI Ankara Province Danandeh Mehr et al [15] MD SPI, SPEI Ankara Province Dabanlı et al [18] MD SPI Turkey Dursun and Babalık [34] MD SPI, DMGI Isparta Dikici [55] MD, AD, HD NDVI, VCI, DI, SPI, SPEI, SRI Seyhan basin Bacanli et al [66] MD PDSI, EDI, DMI CAR Yıldız [67] MD SPI CAR Karabulut [68] MD SPI Antakya-Kahramanmaraş Topçu and Seçkin [69] MD SPI Seyhan basin Tosuno glu and Kisi [70] HD AMS, AMD Çoruh basin Gumus and Algin [71] MD and HD SPI, SDI Seyhan and Ceyhan River basins Bacanlı [72] MD SPI Aegean region Payab and Turker [73] MD SPI Turkish Republic of Northern Cyprus Kumanlıo glu [74] MD and HD SPI, SPEI, SRI Gediz River basin Bacanlı and Akşan [ Dabanlı et al [18] examined the spatial and temporal patterns of drought to monitor the variability of drought across Turkey. To this end, precipitation records were obtained from 250 meteorological stations for the period between 1931 and 2010 (80 years).…”

Section: Authors Drought Type Utilized Indices Study Areamentioning

confidence: 99%

“…Dursun and Babalık [34] investigated the historical drought events in Isparta, Antalya. The precipitation and temperature observations were gathered from Atabey, E girdir, Isparta, Senirkent, Uluborlu, and Yalvaç meteorological stations between 1990 and 2020.…”

Section: Authors Drought Type Utilized Indices Study Areamentioning

confidence: 99%

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Drought Monitoring and Forecasting across Turkey: A Contemporary Review

et al. 2023

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One of the critical consequences of climate change at both local and regional scales is a change in the patterns of extreme climate events such as droughts. Focusing on the different types of droughts, their quantifying indices, associated indicators, and sources of data (remote sensing (RS)/in situ measurements), this article reviewed the recent studies (from 2010 to 2022) that have explored drought features in Turkey. To this end, a total of 71 articles were selected from the Web of Science (WoS) and Scopus databases. The selected papers were clustered into two categories: (i) drought monitoring studies and (ii) drought forecasting articles. Then, the representative papers were reviewed in detail regarding the implemented indices, models (techniques), case study area, and source of the indicators used to derive drought indices. The review results showed that most of the studies aimed at meteorological drought monitoring and forecasting. An increasing trend was also observed in the use of machine learning for short-term meteorological and hydrological drought prediction. On the other hand, the emerging RS technology and satellite-driven indicators were rarely used in the country. The review showed that there is room for more research on agricultural and hydrological drought monitoring, forecasting, and pattern detection in Turkey.

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Section: Meteorological Drought Indicesmentioning

confidence: 99%

Section: Meteorological Drought Indicesmentioning

confidence: 99%

Section: Authors Drought Type Utilized Indices Study Areamentioning

confidence: 99%

Section: Authors Drought Type Utilized Indices Study Areamentioning

confidence: 99%

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Drought Monitoring and Forecasting across Turkey: A Contemporary Review

et al. 2023

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Effect of drought and soil heavy metal contamination on three maple species: a case study of Kastamonu University campus in Türkiye

Savacı,

Ünal,

Yer Çelik

et al. 2023

Environ Monit Assess

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Determination of suitable agricultural areas and current land use in Isparta Province, Türkiye, through a linear combination technique and geographic information systems

Demir

2024

Environ Dev Sustain

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Sustainable land use is vital for the increasing population’s food supply and global food security. The use of the soils in the world for agricultural purposes makes a significant contribution to both national and international food supply, while the remaining plays a crucial role in maintaining forested and semi-natural ecosystems. For this reason, it is important to determine suitable agricultural areas. Soils in the study area are used for agricultural areas at 27.49%, while 63.17% are designated for forest and semi-natural areas. This study’s aim is to locate suitable agricultural areas in the semiarid Isparta province using the linear combination technique (LCT), a multi-criteria analysis method that uses topographic data and national soil data. The weights of the parameters were determined using the analytic hierarchy process (AHP). The agricultural land suitability map generated by LCT was divided into five categories according to the land suitability classification determined by the United Nations Food and Agriculture Organization (FAO). It has been determined that 39.52% of the study area is for highly suitable (S1), moderately suitable (S2), and marginally suitable (S3) classes in the map of suitable agricultural areas using LCT. It is determined that 3991.24 ha of land in the S1 class, which shows the highly suitable areas for agriculture in the study area, was used as artificial surfaces. The results showed that the misuse of suitable agricultural lands increased in the study area. It was determined that artificial areas are expanding into agricultural areas, according to the CLC 2018 database. It shows that soil survey and mapping studies should be carried out according to soil classification systems such as Soil Taxonomy 2022, Land Use/Land Cover Area Frame Survey (LUCAS), and World Reference Base (WRB) 2022, for the determination and use of suitable agricultural lands in Türkiye.

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De Martonne-Gottman ve Standart Yağış İndeksi yöntemleri kullanılarak kuraklığın belirlenmesi: Isparta ili örneği

Cited by 8 publications

References 17 publications

Drought Monitoring and Forecasting across Turkey: A Contemporary Review

Drought Monitoring and Forecasting across Turkey: A Contemporary Review

Effect of drought and soil heavy metal contamination on three maple species: a case study of Kastamonu University campus in Türkiye

Determination of suitable agricultural areas and current land use in Isparta Province, Türkiye, through a linear combination technique and geographic information systems

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