نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشجوی کارشناسی ارشد گروه منابع آب، دانشکده عمران و نقشه برداری، دانشگاه تحصیلات تکمیلی صنعتی و فناوری پیشرفته، کرمان، ایران..
2 گروه اکولوژی، پژوهشکده علوم محیطی، پژوهشگاه علوم و تکنولوژی پیشرفته و علوم محیطی، دانشگاه تحصیلات تکمیلی صنعتی و فناوری پیشرفته، کرمان، ایران
3 دانشکده مهندسی عمران و نقشه برداری، دانشگاه تحصیلات تکمیلی صنعتی و فناوری پیشرفته، کرمان، ایران.
4 گروه علوم و مهندسی آب، دانشکده کشاورزی، دانشگاه ولیعصر(عج) رفسنجان، رفسنجان، ایران
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Climate changes and human activities are the two main factors affecting the hydrological cycle and stationery/ non-stationary of hydrological systems. The existing indicators for drought monitoring are based on the assumption of stability of atmospheric conditions and environmental factors, and the research results of the last two decades indicate that these indicators do not have the necessary validity in the current non-stationary environment. Therefore, in general, the aim of this article is to provide a comprehensive review of the latest drought indicators in non-stationary conditions and to express the challenges and opportunities of future research. In this regard, the indicators that have been developed for different types of droughts should be reviewed first, since the methodology of these indicators is mainly proposed for stationary weather conditions, then we will review some of these indicators that In a non-stationary state, it is developed in Iran and other regions of the world. Studying and reviewing tools and methods for calculating non-stationary in determining non-stationary drought indicators is one of the other factors that will be discussed in this article. A review of various research showed that indices such as NSPI, NSRI, NSPEI, NRDI, etc. were among the most important non-stationary indices that were used to quantify meteorological/hydrological droughts. From the methodological point of view, all the research used the generalized collective model for location, scale and shape (GAMLSS) to model the non-stationary behavior of indicators.
کلیدواژهها [English]