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Copyright of lnternational Journal of Geography & Geography Education is the property of Marmara University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of SDU Journal of Engineering Sciences & Design / Mühendislik Bilimleri ve Tasarım Dergisi is the property of Journal of Engineering Sciences & Design and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Düzce University Journal of Forestry / Düzce Üniversitesi Orman Fakültesi Ormancılık Dergisi is the property of Duzce University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The rapid increase in the world population has caused the current food demand to increase day by day. The production of animal-based proteins may have adverse effects on factors such as time, energy, cost and environment. Therefore, requirements such as providing sufficient food supply to the rapidly growing global population and reducing these undesired effects that may occur during the production of animal-based proteins have created an approach to replace conventional protein sources like traditional meat and meat products with alternative ingredients. Mycoproteins are in the group of microbial proteins, also known as single cell proteins and can partially or completely replace animal-based proteins. Also, the use of agricultural and industrial waste materials as a substrate in the production of mycoproteins provides a versatile contribution to the cleaner environment. They are rich in essential amino acids, carbohydrates and vitamins and have positive and effective properties like low total production costs and producibility that is independent from climatic challenges such as flood, drought and area limitations. In this review, information on fermentation conditions and substrates used for mycoprotein production, nutritional value of mycoproteins, sensory properties and consumer acceptance of mycoprotein products, the use of mycoproteins in formulations like meat substitutes, and the effect of mycoproteins on environmental, health and safety factors are presented. [ABSTRACT FROM AUTHOR]

In this study, trend analysis of monthly and annual streamflow drought index (SDI) of 7 streamflow gauging stations in Yeşilırmak basin was performed. The Mann-Kendall (MK), Şen Innovative Trend Analysis (ITA) and Thiel Sen Approach (TSA) methods were used to reveal drought trends. Before applying the MK test, the effect of the lag-1 serial dependence of the SDI series was eliminated with the trend-free pre-whitening (TFPW) procedure. Trend analyzes were evaluated according to statistical significance levels of 1% and 5%. As a result, it has been revealed that ITA is superior to the MK test in terms of showing the change of hydrological drought trends graphically in the desired range and expressing the trends more precisely. In addition, it has been determined that hydrological drought trends, increase in monthly and annual time periods are dominant in the study area. For this reason, actions such as managing drought risks, measures against drought and early warning systems should be implemented in an integrated manner. [ABSTRACT FROM AUTHOR]

Climate change is leading one of the main research topic that today’s science world is worried about the future. Increased risks of droughts and floods, resulting from this, have led to the adoption of a holistic understanding of water management in recent years. The tendency of drought should be known in order to manage the increased drought risk and to make a sustainable plan. Drought is a hydrological event that begins and progresses slowly, so monitoring and analysis are of great importance. In addition to many tests, the Mann-Kendall test is one of the most common and respected trend analysis tests. In this study, it was investigated whether there is a drought tendency for the Asi basin, which has an area of ​​about 7800 km2. For this purpose, meteorological, hydrological and hydrogeological data between 1970 and 2016 were considered. The tendency of precipitation, flow, evaporation, temperature and groundwater data for years has been studied in detail and the risk of drought has been investigated for the Asi basin. First of all, meteorology and flow observation stations in the basin were determined to be suitable ones and the missing data were completed by methods appropriate to the literature. As a result of these analyzes, the Asi basin was found to have an upward trend, though not statistically significant, at 95% confidence level in annual total precipitation. On average annual temperatures, there was a clear upward trend for both sub-basins and watersheds.

Environmental factors, which directly affect the living beings cause the formation of many natural disasters. One of the most important of these disasters is drought. The effect of the drought on the water resources also affects many things in the way of living life. From the point of human life, diminution in water resources, may pose a significant threat. Drought does not appear suddenly, hence it is possible to predict and take necessary measures before it exists. In order to predict the drought, various drought indices are used to determine the drought phenomenon. A great deal of research has been made to estimate the drought values that have changed dramatically so far. In this study, the 116 - year Palmer Drought Severity Index (PDSI) values of Kayseri province were modeled using machine learning methods in order to predict future PDSI values. In this context, one, three and six months period of drought values were predicted. The success rate of the predictions constructed using support vector machines (SVM) and K-nearest neighbors (KNN) algorithms was evaluated statistically. This study indicates that machine learning methods provide a significant contribution to the solution of hydrological problems. [ABSTRACT FROM AUTHOR]

Copyright of Yuzuncu Yil Universitesi Journal of Agricultural Sciences (YYU J Agr Sci) is the property of Yuzuncu Yil University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)