scholarly journals Agroclimatic zonation of Tigray region of Ethiopia based on aridity index and traditional agro-climatic zones

2021 ◽  
Vol 21 (2) ◽  
pp. 176-181
Author(s):  
H. HAFTOM ◽  
A. HAFTU ◽  
K. GOITOM ◽  
H. MESERET
Keyword(s):  
Potential Evapotranspiration ◽  
Aridity Index ◽  
Climate Data ◽  
Climate Services ◽  
Climatic Zones ◽  
Tigray Region ◽  
Agroclimatic Zone ◽  
Elevation Model ◽  
Agroclimatic Zones ◽  
Semi Arid

The aim of this study was to identify the agroclimatic zones of Tigray region based on aridity index and traditional agroclimatic zone using 37-year (1981-2017) spatial climate data downloaded for Tigray region from Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) for rainfall and from Enhancing National Climate Services (ENACTS) data for temperature. Arc map 10.3 was used for mapping of all climatic variables and zonation of agro-climatic zones. Potential evapotranspiration (PET) was computed based on Hargreaves formula and the aridity index was computed. Besides, the digital elevation model was downloaded from ASTER data. The aridity map of Tigray divided into three index zones (0.03-0.2, 0.2–0.5 and 0.5–0.65) and five traditional agro-climate zones (<1500,1500-2000,2000- 2500, 2500-3000, >3000 m.a.s.l.) were overlaid, which divided entire region of Tigray into fifteen agroclimatic zones. Hot semi-arid, warm semi-arid, tepid semi-arid and hot arid were the dominant zones in the region.

scholarly journals Spatial-Temporal Variation of Aridity Index of China during 1960–2013

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Huiping Huang ◽  
Yuping Han ◽  
Mingming Cao ◽  
Jinxi Song ◽  
Heng Xiao
Keyword(s):  
Temporal Variation ◽  
Potential Evapotranspiration ◽  
Regional Climate ◽  
Aridity Index ◽  
Principal Component ◽  
Kendall Test ◽  
Semiarid Region ◽  
Climate Data ◽  
Gis Technology ◽  
Important Indicator

Aridity index, as the ration of potential evapotranspiration and precipitation, is an important indicator of regional climate. GIS technology, Morlet wavelet, Mann-Kendall test, and principal component analysis are utilized to investigate the spatial-temporal variation of aridity index and its impacting factors in China on basis of climate data from 599 stations during 1960–2013. Results show the following. (1) Boundaries between humid and semihumid region, and semihumid and semiarid region coincide with 400 mm and 800 mm precipitation contour lines. (2) Average annual aridity index is between 3.4 and 7.5 and shows decrease trend with a tendency of –0.236 per decade at 99% confidence level. (3) The driest and wettest month appear in December and July, respectively, in one year. (4) Periods of longitudinal and latitudinal shift of aridity index 1, 1.5, and 4 contours coordinate are 10 and 25 years, 6 and 26 years, and 5 and 25 years, respectively. (5) Four principal components which affect aridity index are thermodynamic factors, water and radiation factors, geographical and air dynamic factors, and evaluation factor, respectively.

scholarly journals Agro-climatic zoning in Egypt to improve irrigation water management

2016 ◽  
Vol 31 (1) ◽  
pp. 113-117 ◽  
Author(s):  
Tahany Noreldin ◽  
Samiha Ouda ◽  
Alia Amer
Keyword(s):  
Water Management ◽  
Irrigation Water ◽  
Nile Delta ◽  
Potential Evapotranspiration ◽  
Block Design ◽  
Climate Data ◽  
Climatic Zones ◽  
Irrigation Water Management ◽  
Significant Difference ◽  
Management And Development

AbstractThe objective of this paper was to develop agro-climatic zones in the old cultivated lands of Egypt in the Nile Delta and Valley using climate normals from 1985–2014 to facilitate better irrigation water management under water scarcity conditions. 30-year monthly climate data were collected for 17 agricultural governorates in Egypt and yearly averages and 30-year averages were calculated. BISm model was used to calculate yearly averages of potential evapotranspiration (PET) and 30-year average for each governorate. Analysis of variance was done using one factor randomize complete block design, with number of years as replicates. Furthermore, the mean, the range and R2 were calculated to test the strength of the relationship between PET and climate elements. The means of PET for each governorate was separated and ranked in ascending order using least significant difference test (LSD0.05). The results identified 7 agro-climatic zones (LSD0.05 = 0.146). These zones were: (1) Alexandria; (2) Demiatte, Kafr El-Sheikh and Dakhlia; (3) El-Behira, and El-Gharbia; (4) El-Minofia, El-Sharkia, El-Kalubia, Giza and El-Fayom; (5) Beni Sweif, El-Minia, Assuit and Sohag; (6) Qena; and (7) Aswan. Such zoning will increase the ability of the Egyptian policy makers to prepare the appropriate water management and development policies as a result of the availability of proper information on each zone aiming at efficient use of the limited water resources.

scholarly journals Long Term Spatio-temporal Variations of Seasonal and Decadal Aridity in India

2021 ◽  
Vol 4 (3) ◽  
Author(s):  
Pavan Kumar B ◽  
Bhavani Pinjarla ◽  
P K Joshi ◽  
P S Roy
Keyword(s):  
Water Resource Management ◽  
Arid Zone ◽  
Potential Evapotranspiration ◽  
Aridity Index ◽  
Temporal Variations ◽  
United Nations Environment Programme ◽  
Climate Data ◽  
Land Use Pattern ◽  
Changing Patterns ◽  
Spatio Temporal

A comprehensive analysis of climate data (1958-2018) is carried out at the national scale in India to assess spatiotemporal variation in aridity. The aridity is analyzed using UNEP (United Nations Environment Programme) Aridity Index (AI), which is the ratio between Precipitation (P) and Potential Evapotranspiration (PET). Freely available Terra-Climate database, P and PET variables, offered an unprecedented opportunity for monitoring variations in AI and aridity index anomalies (AIA) at interseasonal and inter-decadal basis. The study also assesses longer term patterns of P and AI anomalies with vegetation anomalies. The results indicate that significant clustered areas with maximum dryness are located at west-central part of India, the state of Maharashtra. Overall, there is a gradual increase in the extent of arid zone during 60-year period and spatially maximum extent of percentage change in aridity area is observed. The change patterns of AI in India are largely driven by the changing patterns of precipitation. The maximum impact of decline in precipitation on AIA was observed during Kharif season frequently, for every 4-5 years during 1972-1992. The pattern repeated in the last few recent years (2013- 2018), the decline in precipitation resulted increased aridity. The study also reveals that the availability and usage of irrigation sources have increased from 2014 to 2018. Thus, despite of less precipitation positive vegetation has been resulted in this period. The findings are important to understand the impacts of climate change on land use pattern, and land and water resource management.

scholarly journals Classificação de áreas semiáridas e subúmidas secas utilizando diferentes índices climáticos

2021 ◽  
Vol 14 (2) ◽  
pp. 479
Author(s):  
Eliton Sancler Gomes Sales ◽  
Wendy Kaori Matsunaga ◽  
Mayara Monique Almeida Moura Nunes ◽  
João Hugo Baracuy Da Cunha Campos ◽  
Josefina Moraes Arraut ◽  
...  
Keyword(s):  
Potential Evapotranspiration ◽  
Aridity Index ◽  
Minas Gerais ◽  
Arid Areas ◽  
Moisture Index ◽  
United Nations Environment Program ◽  
Climatic Classification ◽  
Nations Environment ◽  
Semi Arid

As delimitações das áreas semiáridas do Nordeste do Brasil e norte de Minas Gerais podem apresentar grandes diferenças conforme os métodos de classificação climática e de estimativa da evapotranspiração potencial (ET0) utilizados. Para demostra esta afirmação de forma quantitativa, nesta pesquisa, delimitou-se as áreas semiáridas usando dois métodos de classificação climática (1) índice efetivo de umidade de Thornthwaite (Im) e (2) índice de aridez do Programa das Nações Unidas para o Meio Ambiente (IaUNEP), enquanto, para a estimativa da ET0 usou-se os métodos de (1) Thornthwaite e (2) Penman-Monteith-FAO (PMF), totalizando quatro diferentes configurações de delimitações de áreas semiáridas. Com a utilização de Im observou-se um aumento do grau de aridez e de áreas semiáridas quando comparado com os resultados obtidos com o uso de IaUNEP. Do mesmo modo, ao usar a estimativa de ET0 pelo método PMF verifica-se um aumento da aridez e das terras semiáridas em comparação com a ET0 calculada por Thornthwaite. Como o método PMF é geralmente reconhecido como um método padrão para estimativa da ET0. Portanto, é possível certificar que o grau de aridez e de terras semiáridas no Nordeste do Brasil são mais elevados do que aqueles mostrados nos estudos com a estimativa de ET0 por Thornthwaite. Classification of semi-árid and sub-humid sreas using different climate indexes A B S T R A C TThe delimitations of semi-arid areas in the Northeast of Brazil and northern Minas Gerais can present great differences according to the methods of climatic classification and estimation of potential evapotranspiration (ET0) used. To demonstrate this statement in a quantitative way, in this research, we used two different methods of climate classification: (1) the moisture index of Thornthwaite (Im) and (2) aridity index of the United Nations Environment Program (IaUNEP), as well as, two methods to estimate ET0: of (1) Thornthwaite and (2) Penman-Monteith-FAO (PMF), totaling four different configurations of delimitations of semi-arid areas. As the use of Im an increase in the degree of aridity and semi-arid areas was observed when compared with the results obtained as the use of IaUNEP. Similarly, when using the ET0 estimate using the PMF method, there is an increase in aridity and semi-arid land compared to the ET0 calculated by Thornthwaite. As the PMF method is generally recognized as a standard method for estimating ET0. Therefore, it is possible to affirm that the degree of aridity and semi-arid lands in Northeast Brazil are higher than those shown in studies with the estimate of ET0 by Thornthwaite. Keywords: Semiarid, climatic classification, potential evapotranspiration

scholarly journals Spatial Shift of Aridity and Its Impact on Land Use of Syria

2019 ◽  
Vol 11 (24) ◽  
pp. 7047 ◽  
Author(s):  
Mohammad Rajab Houmsi ◽  
Mohammed Sanusi Shiru ◽  
Mohamed Salem Nashwan ◽  
Kamal Ahmed ◽  
Ghaith Falah Ziarh ◽  
...  
Keyword(s):  
Potential Evapotranspiration ◽  
Arid Land ◽  
Climate Data ◽  
Princeton University ◽  
The North ◽  
Spatial Shift ◽  
Spatiotemporal Trends ◽  
Analysis Of Results ◽  
Agricultural Areas ◽  
Semi Arid

Expansion of arid lands due to climate change, particularly in water stressed regions of the world can have severe implications on the economy and people’s livelihoods. The spatiotemporal trends in aridity, the shift of land from lower to higher arid classes and the effect of this shift on different land uses in Syria have been evaluated in this study for the period 1951–2010 using high-resolution monthly climate data of the Terrestrial Hydrology Research Group of Princeton University. The trends in rainfall, temperature and potential evapotranspiration were also evaluated to understand the causes of aridity shifts. The results revealed an expansion of aridity in Syria during 1951–1980 compared to 1981–2010. About 6.21% of semi-arid land was observed to shift to arid class and 5.91% dry-subhumid land to semi-arid land between the two periods. Analysis of results revealed that the decrease in rainfall is the major cause of increasing aridity in Syria. About 28.3% of agriculture land located in the north and the northwest was found to shift from humid to dry-subhumid or dry-subhumid to semi-arid. Analysis of results revealed that the shifting of drylands mostly occurred in the northern agricultural areas of Syria. The land productivity and irrigation needs can be severely affected by increasing aridity which may affect food security and the economy of the country.

scholarly journals Assessment on spatial extent of arid and semi-arid climatic zones of India using GIS

2021 ◽  
Vol 23 (2) ◽  
pp. 189-193
Author(s):  
NISHA SAHU ◽  
G. P. OBI REDDY ◽  
B. DASH ◽  
NIRMAL KUMAR ◽  
S. K. SINGH
Keyword(s):  
Crop Production ◽  
Global Climate ◽  
Climatic Conditions ◽  
Spatial Extent ◽  
Data Sets ◽  
Climate Data ◽  
Moisture Index ◽  
Climatic Zones ◽  
Temporal And Spatial ◽  
Semi Arid

In this study, a quantitative assessment of spatial extent of arid and semi-arid climatic zones of India was performed for the period from 1988 to 2018 using potential evapo-transpiration (PET) calculated by Modified Penman Method, estimated from global climate data sets. Climatic water balances computed for 625 stations across the country are used for classifying to bio-climate types based on moisture index and areas falling under arid climatic zones in India are delineated using ArcGIS 10.5. It was noticed a considerable changes in the country’s arid and semi-arid climatic zones between the two periods; 1992 and 2018. Overall, there has been a net percent change in hyper arid, typic arid and semi arid (dry) areas is 5.62, 1.62 and 7.17 percent, respectively. Dryness and wetness are increasing in different parts of the country. There is also change in rainfall, PET and moisture index over a period of time which is vital to determine aridity pattern of any region. Thus, results are of great significance for studying the assessment of temporal and spatial dry climatic water balance of India, which can help immensely in the management of water resources and sustainability of crop production under changing climatic conditions.

scholarly journals Climate Variability Impact on the Spatiotemporal Characteristics of Drought and Aridityin Arid and Semi-Arid Regions

2019 ◽  
Vol 33 (15) ◽  
pp. 5015-5033 ◽  
Author(s):  
Ruqayah Mohammed ◽  
Miklas Scholz
Keyword(s):  
Climate Variability ◽  
Drought Index ◽  
Potential Evapotranspiration ◽  
Standardized Precipitation Index ◽  
Meteorological Drought ◽  
Drought Indices ◽  
Homogeneity Test ◽  
Climate Data ◽  
Reconnaissance Drought Index ◽  
Semi Arid

AbstractInvestigating the spatiotemporal distribution of climate data and their impact on the allocation of the regional aridity and meteorological drought, particularly in semi-arid and arid climate, it is critical to evaluate the climate variability effect and propose sufficient adaptation strategies. The coefficient of variation, precipitation concentration index and anomaly index were used to evaluate the climate variability, while the Mann-Kendall and Sen’s slope were applied for trend analysis, together with homogeneity tests. The aridity was evaluated using the alpha form of the reconnaissance drought index (Mohammed & Scholz, Water Resour Manag 31(1):531–538, 2017c), whereas drought episodes were predicted by applying three of the commonly used meteorological drought indices, which are the standardised reconnaissance drought index, standardized precipitation index and standardized precipitation evapotranspiration index. The Upper Zab River Basin (UZRB), which is located in the northern part of Iraq and covers a high range of climate variability, has been considered as an illustrative basin for arid and semi-arid climatic conditions. There were general increasing trends in average temperature and potential evapotranspiration and decreasing trends in precipitation from the upstream to the downstream of the UZRB. The long-term analysis of climate data indicates that the number of dry years has temporally risen and the basin has experienced succeeding years of drought, particularly after 1994/1995. There was a potential link between drought, aridity and climate variability. Pettitt’s, SNHT, Buishand’s and von Neumann’s homogeneity test results demonstrated that there is an evident alteration in the mean of the drought and aridity between the pre- and post-alteration point (1994).

New methodical approaches to mapping of geosystems (by the example of Baikalian Siberia’s geosystems)

2018 ◽  
Vol 937 (7) ◽  
pp. 23-34 ◽  
Author(s):  
I.N. Vladimirov
Keyword(s):  
Global Climate ◽  
Remote Sensing Data ◽  
Field Research ◽  
Scientific Basis ◽  
Nature Management ◽  
Climate Data ◽  
Structural Dynamic ◽  
Digital Elevation ◽  
North Asia ◽  
Elevation Model

The article considers a new approach to landscape mapping based on the synthesis of remote sensing data of high and medium spatial resolution, a digital elevation model, maps of various thematic contents, a set of global climate data, and materials of field research. The map of the Baikalian’s Siberia geosystems is based on the principles of the multistage regional-typological and structural-dynamic classification of geosystems proposed by Academician V.B. Sochava. The structure of the geosystems of the Baikalian Siberia is characterized by great complexity, both in the set of natural complexes and in the degree of their contrast. The regional classification range covers the geosystems inherent in different subcontinents of Asia and reflects their interpenetration, being a unique landscape-situational example of Siberian nature within North Asia. The map of the geosystems of the Baikalian Siberia reflects the main structural and dynamic diversity of geosystems in the region in the systems of their geographic and genetic spatial structures. These landscape cartographic studies fit into a single system of geographic forecasting and create a new fundamental scientific basis for developing recommendations for optimizing nature management in the Baikal region within the framework of implementing state environmental policy.

scholarly journals The role of climatic and terrain attributes in estimating baseflow recession in tropical catchments

2010 ◽  
Vol 14 (11) ◽  
pp. 2193-2205 ◽  
Author(s):  
J. L. Peña-Arancibia ◽  
A. I. J. M. van Dijk ◽  
M. Mulligan ◽  
L. A. Bruijnzeel
Keyword(s):  
Potential Evapotranspiration ◽  
Aridity Index ◽  
Global Scale ◽  
Tree Cover ◽  
Annual Rainfall ◽  
Ungauged Catchments ◽  
Ongoing Research ◽  
Daily Streamflow ◽  
Terrain Attributes ◽  
Streamflow Data

Abstract. The understanding of low flows in rivers is paramount more than ever as demand for water increases on a global scale. At the same time, limited streamflow data to investigate this phenomenon, particularly in the tropics, makes the provision of accurate estimations in ungauged areas an ongoing research need. This paper analysed the potential of climatic and terrain attributes of 167 tropical and sub-tropical unregulated catchments to predict baseflow recession rates. Daily streamflow data (m3 s–1) from the Global River Discharge Center (GRDC) and a linear reservoir model were used to obtain baseflow recession coefficients (kbf) for these catchments. Climatic attributes included annual and seasonal indicators of rainfall and potential evapotranspiration. Terrain attributes included indicators of catchment shape, morphology, land cover, soils and geology. Stepwise regression was used to identify the best predictors for baseflow recession coefficients. Mean annual rainfall (MAR) and aridity index (AI) were found to explain 49% of the spatial variation of kbf. The rest of climatic indices and the terrain indices average catchment slope (SLO) and tree cover were also good predictors, but co-correlated with MAR. Catchment elongation (CE), a measure of catchment shape, was also found to be statistically significant, although weakly correlated. An analysis of clusters of catchments of smaller size, showed that in these areas, presumably with some similarity of soils and geology due to proximity, residuals of the regression could be explained by SLO and CE. The approach used provides a potential alternative for kbf parameterisation in ungauged catchments.

scholarly journals Spatially enabling the Global Framework for Climate Services: Reviewing geospatial solutions to efficiently share and integrate climate data & information

2017 ◽  
Vol 8 ◽  
pp. 44-58 ◽  
Author(s):  
Gregory Giuliani ◽  
Stefano Nativi ◽  
Andre Obregon ◽  
Martin Beniston ◽  
Anthony Lehmann
Keyword(s):  
Climate Data ◽  
Climate Services
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