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Academic literature on the topic 'Aridity indices'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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Journal articles on the topic "Aridity indices"

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Alawadi, Wisam, Ayman Alak Hassan, and Ammar Dakhil. "Evaluation of Grid-Based Aridity Indices in Classifying Aridity Zones in Iraq." Nature Environment and Pollution Technology 23, no. 2 (2024): 1151–60. http://dx.doi.org/10.46488/nept.2024.v23i02.049.

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In this study, the aridity index (AI) based on gridded climate data was validated for defining aridity and classifying aridity zones in Iraq through comparison with the results obtained by the station-based aridity index. Gauge-based gridded climate data taken from Climatic Research Unit Timeseries (CRU TS) were used to determine the annual value of four aridity indices (Lang, De Martonne, Ernic and UNEP AI) over the period 1998-2011. The results showed that the aridity distribution maps derived using grid-based aridity indices were reasonably close to those found using station-based ones. The

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Arushanov, M.L., and G.Sh. Eshmuratova. "COMPARATIVE ASSESSMENT OF INFORMATIVENESS OF ATMOSPHERIC ARIDITY INDICES." Deutsche internationale Zeitschrift für zeitgenössische Wissenschaft 67 (November 2, 2023): 10–17. https://doi.org/10.5281/zenodo.10066257.

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Prediction of drought, a dangerous hydrometeorological phenomenon, is based on meteorological data (temperature, precipitation, air pressure, dew point, evaporation), combined into a single formula – an index describing the qualitative state of aridity depending on the quantitative value of the index in a given climatic region. Due to the lack of a universal definition of drought, different aridity indices provide an effective assessment of aridity in different climatic regions of the world in different ways. In order to adapt methods for assessing aridity in a specific climatic region account

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Conceição, Marco Antônio Fonseca, Jorge Tonietto, and Reginaldo Teodoro de Souza. "Climatic water indices for viticulture." Pesquisa Agropecuária Brasileira 53, no. 6 (2018): 765–68. http://dx.doi.org/10.1590/s0100-204x2018000600013.

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Abstract: The objective of this work was to evaluate the performance of vineyard water indices in different grape-growing regions. The climate data used come from the historical series of weather stations located in 18 countries. The evaluated indices were the following: dryness, Zuluaga, humidity, aridity, moisture, and the grapevine water index. The grapevine water index and the indices of drought, moisture, and aridity exhibit similar performances, which makes them suitable to be used equivalently in climatological studies of grapevine regions.

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Kimura, Reiji, and Masao Moriyama. "Recent Trends of Annual Aridity Indices and Classification of Arid Regions with Satellite-Based Aridity Indices." Remote Sensing in Earth Systems Sciences 2, no. 2-3 (2019): 88–95. http://dx.doi.org/10.1007/s41976-019-00014-w.

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Al-Zamili, Hanan S., and Alaa M. Al-Lami. "Assessment of spatial distributions of some climate indices in Iraq." Journal of Applied and Advanced Research 3, no. 4 (2018): 96. http://dx.doi.org/10.21839/jaar.2018.v3i4.217.

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Aridity is one of the main factors which distinguish the climate of a region and has significant influence on human activities. This study investigated the spatial distribution of the aridity indices to determine the climate conditions in Iraq over the period (1981-2015), depending on the data of the air temperature and rainfall which obtained from 28 stations distributed through Iraq. The used aridity indices are: Lang, Erinc, Emberger, UNEP, De Martonne and Thornthwaite. The spatial distribution was determined using inverse distance weighting (IDW) interpolated method. The results of aridity

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Hou, Jianfeng, Feike A. Dijkstra, Xiuwei Zhang, et al. "Aridity thresholds of soil microbial metabolic indices along a 3,200 km transect across arid and semi-arid regions in Northern China." PeerJ 7 (April 9, 2019): e6712. http://dx.doi.org/10.7717/peerj.6712.

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Soil microbial processes are crucial for understanding the ecological functions of arid and semi-arid lands which occupy approximately 40% of the global terrestrial ecosystems. However, how soil microbial metabolic activities may change across a wide aridity gradient in drylands remains unclear. Here, we investigated three soil microbial metabolic indices (soil organic carbon (SOC)-based microbial respiration, metabolic quotient, and microbial biomass as a proportion of total SOC) and the degree of carbon limitation for microbial respiration along a 3,200 km transect with a wide aridity gradie

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Lam, Marleen R., Alessia Matanó, Anne F. Van Loon, et al. "Linking reported drought impacts with drought indices, water scarcity and aridity: the case of Kenya." Natural Hazards and Earth System Sciences 23, no. 9 (2023): 2915–36. http://dx.doi.org/10.5194/nhess-23-2915-2023.

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Abstract. The relation between drought severity and drought impacts is complex and relatively unexplored in the African continent. This study assesses the relation between reported drought impacts, drought indices, water scarcity and aridity across several counties in Kenya. The monthly bulletins of the National Drought Management Authority in Kenya provided drought impact data. A random forest (RF) model was used to explore which set of drought indices (standardized precipitation index, standardized precipitation evapotranspiration index, standardized soil moisture index and standardized stre

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Andrade, Cristina, Joana Contente, and João Andrade Santos. "Climate Change Projections of Aridity Conditions in the Iberian Peninsula." Water 13, no. 15 (2021): 2035. http://dx.doi.org/10.3390/w13152035.

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The assessment of aridity conditions is a key factor for water management and the implementation of mitigation and adaptation policies in agroforestry systems. Towards this aim, three aridity indices were computed for the Iberian Peninsula (IP): the De Martonne Index (DMI), the Pinna Combinative Index (PCI), and the Erinç Aridity Index (EAI). These three indices were first computed for the baseline period 1961–1990, using gridded observational data (E-OBS), and subsequently, for the periods 2011–2040 (short range) and 2041–2070 (medium range), using an ensemble of six regional climate model (R

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Liu, Yongqiang, Lu Hao, Decheng Zhou, et al. "Identifying a transition climate zone in an arid river basin using the evaporative stress index." Natural Hazards and Earth System Sciences 19, no. 10 (2019): 2281–94. http://dx.doi.org/10.5194/nhess-19-2281-2019.

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Abstract. Aridity indices have been widely used in climate classification. However, there is not enough evidence for their ability in identifying the multiple climate types in areas with complex topography and landscape, especially in those areas with a transition climate. This study compares a traditional meteorological aridity index (AI), defined as the ratio of precipitation (P) to potential evapotranspiration (PET), with a hydrological aridity index, the evaporative stress index (ESI) defined as the ratio of actual evapotranspiration (AET) to PET in the Heihe River Basin (HRB) of arid nort

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Sri, Yulianto Joko Prasetyo, Dwi Hartomo Kristoko, Chrismawati Paseleng Mila, Widiyanto Chandra Dian, and Winarko Edi. "Satellite imagery and machine learning for aridity disaster classification using vegetation indices." Bulletin of Electrical Engineering and Informatics 9, no. 3 (2020): 1149–58. https://doi.org/10.11591/eei.v9i3.1916.

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Central Java Province is one of provinces in Indonesia that has a high aridity risk index. Aridity disaster risk monitoring and detection can be done more accurately in larger areas and with lower costs if the vegetation index is extracted from the remote sensing imagery. This study aims to provide accurate aridity risk index information using spectral vegetation index data obtained from LANDSAT 8 OLI satellite. The classification of drought risk areas was carried out using k-nn with the Spatial Autocorrelation method. The spectral vegetation indices used in the study are NDVI, SAVI, VHI, TCI

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Book chapters on the topic "Aridity indices"

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Byakatonda, Jimmy, B. P. Parida, D. B. Moalafhi, and Piet K. Kenabatho. "Drought Monitoring in Arid and Semiarid Environments Using Aridity Indices and Artificial Neural Networks." In Integrated Drought Management, Volume 2. CRC Press, 2023. http://dx.doi.org/10.1201/9781003276548-7.

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Limchupanpanich, Somsak, Tanakorn Sritarapipat, Sayan Kaennakham, and Suwit Ongsomwang. "Early Drought Prediction Using MODIS Time Series with LSTM: A Study of the Western United States." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2024. https://doi.org/10.3233/faia241434.

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Droughts impose severe global challenges by affecting water resources, agricultural productivity, and ecosystems, and presenting considerable socioeconomic risks. In the Western United States, increasing aridity and reliance on limited water sources aggravate these issues. Accurate and timely drought forecasting is essential for effective water management, mitigating agricultural impacts, and addressing broader economic and environmental concerns. This research introduces a novel approach for early drought prediction by using remotely sensed data, with a specific focus on the drought-prone sta

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Gallien, Claire. "Coda." In Reconfiguring and Appropriating Arabic, Persian, and Indic Literary Traditions in Seventeenth- and Eighteenth-Century Britain. Oxford University PressOxford, 2025. https://doi.org/10.1093/oso/9780198908401.003.0008.

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Abstract The conclusion to the book takes the form of a coda. It intends to open reflections concerning the ways in which Orientalist genealogies still affect how literatures are read, studied, and imagined today. Postcolonial theories have placed existing canons and canonizing efforts under duress, by stressing their dependence and complicity with structures of (colonial) power. The book complements this effort by unpacking the genealogies, logics, and politics of canon formation in relation to literatures in Arabic, Persian, and Indic languages. The coda explains how the book was also writte

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Wilshire, Howard G., Richard W. Hazlett, and Jane E. Nielson. "The Last Drops." In The American West at Risk. Oxford University Press, 2008. http://dx.doi.org/10.1093/oso/9780195142051.003.0014.

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The western United States has low overall rainfall and snowfall levels, few rivers, and many deep groundwater basins. Small Native American populations once lived within the restraints of aridity by seeking harmony with nature. But owning land in such an arid region means little or nothing without a supply of fresh water. Instead of limiting population growth in the face of scarce and unpredictable rainfall, however, the west’s aridity challenged the newcomers to redirect water supplies and make the rich desert soils bloom. The region’s localized precipitation, generally doled out on boom-and-

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Conference papers on the topic "Aridity indices"

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Nedealcov, Maria, Ala Donica, Ion Agapi, and Nicolae Grigoras. "Relatii temporale între parametrii climatici si cresterile anuale ale speciilor forestiere (studiu de caz)." In Impactul antropic asupra calitatii mediului. Institute of Ecology and Geography, Republic of Moldova, 2019. http://dx.doi.org/10.53380/9789975330800.23.

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The forests on the natural distribution area from the silvosteppe zone, under the influence of climate change will experience major changes in their structure and functioning. The analysis of growth parameters for Fraxinus excelsior, Quercus petraea, Q. robur in three experimental areas from center of the Republic of Moldova indicates that the radial growth processes are influenced by the same complex of climatic factors, which differ being dendroclimatic response intensity. It has been shown that between the annual tree growth and forest aridity index - FAI, there are close correlations: the

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Milentijević, Nikola, Milana Pantelić, Marko Ivanović, Sanja Obradović, Milena Gocić, and Nataša Martić-Bursać. "Spatio-temporal variability of aridity based on rainfall anomaly index: Case study of Bačka (Northern Serbia)." In Zbornik radova – VI Kongres geografa Srbije sa medunarodnim ucešcem. University of Belgrade - Faculty of Geography, Belgrade, 2024. http://dx.doi.org/10.5937/kongef24009m.

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Recent climate changes represent one of the largest environmental issues and the cause of climate extremes such as drought and aridity. The subject of the paper is the interpretation of aridity conditions in Bačka using the Rainfall Anomaly Index (RAI). The paper uses monthly and annual precipitation values (1990-2018) from five meteorological stations. The analyzed parameters were taken and calculated based on the Meteorological Yearbooks of the Republic Hydrometeorological Service of Serbia (RHSS). The spatial distribution of RAI is presented using interpolation based on QGIS software v3.18.

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