Rainfall Change and Spatial-Temporal Aspects of Agricultural Drought in Syria

2021 ◽  
pp. 215-221
Author(s):  
Safwan Mohammed ◽  
Karam Alsafadi ◽  
Seyed Mohammad Nasir Mousavi ◽  
Endre Harsányi
Keyword(s):  
Agricultural Drought ◽  
Rainfall Change ◽  
Temporal Aspects

Use of soil and climate data to assess the risk of agricultural drought for policy support in Europe

Agronomie ◽  
2001 ◽  
Vol 21 (1) ◽  
pp. 45-56 ◽  
Author(s):  
Pandi Zdruli ◽  
Robert J.A. Jones ◽  
Luca Montanarella
Keyword(s):  
Policy Support ◽  
Agricultural Drought ◽  
Climate Data

Annotation and Analyses of Temporal Aspects of Spoken Fluency

2013 ◽  
Vol 26 (3) ◽  
pp. 644-661 ◽  
Author(s):  
Heather Hilton
Keyword(s):  
Temporal Aspects

Satellite Data Based Soil Water Index as a Tool to Monitor Droughts and Agricultural Crisis -An Example of Yavatmal District, Maharashtra, India

2020 ◽  
Vol 4 (1-2) ◽  
pp. 12-18
Author(s):  
Vijendra Boken
Keyword(s):  
Soil Water ◽  
Satellite Data ◽  
Suicide Rate ◽  
Crop Yields ◽  
Meteorological Drought ◽  
Agricultural Drought ◽  
Coefficient Of Correlation ◽  
Water Index ◽  
Farmer Suicides ◽  
June July

Yavatmal is one of the drought prone districts in Maharashtra state of India and has witnessed an agricultural crisis to the extent that hundreds of its farmers have committed suicides in recent years. Satellite data based products have previously been used globally for monitoring and predicting of drought, but not for monitoring their extreme impacts that may include farmer-suicides. In this study, the performance of the Soil Water Index (SWI) derived from the surface soil moisture estimated by the European Space Agency’s Advanced Scatterometer (ASCAT) is assessed. Using the 2007-2015 data, it was found that the relationship of the SWI anomaly was bit stronger (coefficient. of correlation = 0.59) with the meteorological drought or precipitation than with the agricultural drought or crop yields of major crops (coefficient. of correlation = 0.50).  The farmer-suicide rate was better correlated with the SWI anomaly averaged annually than with the SWI anomaly averaged only for the monsoon months (June, July, August, and September). The correlation between the SWI averaged annually increased to 0.89 when the averages were taken for three years, with the highest correlation occurring between the suicide rate and the SWI anomaly averaged for three years. However, a positive relationship between SWI and the suicide rate indicated that drought was not a major factor responsible for suicide occurrence and other possible factors responsible for suicide occurrence need to examine in detail.

scholarly journals Discovering Spatial-Temporal Indication of Crime Association (STICA)

2021 ◽  
Vol 10 (2) ◽  
pp. 67
Author(s):  
Chao Jiang ◽  
Lin Liu ◽  
Xiaoxing Qin ◽  
Suhong Zhou ◽  
Kai Liu
Keyword(s):  
Pattern Analysis ◽  
Kernel Density ◽  
Time Varying ◽  
Contributing Factors ◽  
Crime Patterns ◽  
Temporal Aspects ◽  
Thematic Mapping ◽  
New Vision ◽  
Specific Implementation ◽  
Further Development

The importance of combining spatial and temporal aspects has been increasingly recognized over recent years, yet pertinent pattern analysis methods in place-based crime research still need further development to explicitly indicate spatial-temporal localities of pertinent factors’ influence ranges. This paper proposes an approach, Spatial-Temporal Indication of Crime Association (STICA), to facilitate identifying the main contributing factors of crime, which are operated at diverse spatial-temporal scales. The method’s rationale is to progressively discern the spatial zones with diverse temporal crime patterns. A specific implementation of the STICA approach, by combining kernel density estimation, k-median-centers clustering, and thematic mapping, is applied to understand the burglary in an urban peninsula, China. The empirical findings include: (1) both the main time-stable and time-varying factors of crime can be indicated with the disparities of temporal crime patterns for different spatial zones based on the STICA results. (2) The spatial range of these factors can enlighten the understanding of interactions for generating crime patterns, especially with regards to how temporally transient and spatially global factors can produce a locally crime-ridden zone through the mediation of stable factors. (3) The STICA results can reveal the spatially contextual effects of stable factors, which are of great value to improve modeling crime patterns. As demonstrated, the STICA approach is effective in exploring contributing factors of crime and has shown great potential for providing a new vision in place-based crime research.

scholarly journals Agricultural Drought Risk Assessment: A Spatial Analysis of Hazard, Exposure, and Vulnerability in Zacatecas, Mexico

Water ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 1431
Author(s):  
David Ortega-Gaucin ◽  
Jesús A. Ceballos-Tavares ◽  
Alejandro Ordoñez Sánchez ◽  
Heidy V. Castellano-Bahena
Keyword(s):  
Risk Index ◽  
Hazard Index ◽  
Environmental Indicators ◽  
The State ◽  
Agricultural Drought ◽  
Agricultural Activity ◽  
Drought Risk ◽  
Hazard Exposure ◽  
The World ◽  
Agricultural Drought Risk

Drought is one of the major threats to water and food security in many regions around the world. The present study focuses on the evaluation of agricultural drought risk from an integrated perspective, that is, emphasizing the combined role of hazard, exposure, and vulnerability to drought. For this purpose, we used the Mexican state of Zacatecas as a case study. This state is one of the most vulnerable to the adverse effects of agricultural drought in the country. The proposed method includes three stages: first, we analyzed the risk of agricultural drought at the municipal scale using the FAO Agricultural Stress Index System (ASIS) in its country version (Country-Level ASIS) and also determined a Drought Hazard Index (DHI). Subsequently, we conducted a municipal assessment of exposure and vulnerability to drought based on a set of socioeconomic and environmental indicators, which we combined using an analytical procedure to generate the Drought Exposure Index (DEI) and the Drought Vulnerability Index (DVI). Finally, we determined a Drought Risk Index (DRI) based on a weighted addition of the hazard, exposure, and vulnerability indices. Results showed that 32% of the state’s municipalities are at high and very high risk of agricultural drought; these municipalities are located mainly in the center and north of the state, where 75.8% of agriculture is rainfed, 63.6% of production units are located, and 67.4% of the state’s population depends on agricultural activity. These results are in general agreement with those obtained by other studies analyzing drought in the state of Zacatecas using different meteorological drought indices, and the results are also largely in line with official data on agricultural surfaces affected by drought in this state. The generated maps can help stakeholders and public policymakers to guide investments and actions aimed at reducing vulnerability to and risk of agricultural drought. The method described can also be applied to other Mexican states or adapted for use in other states or countries around the world.

Attribution of meteorological, hydrological and agricultural drought propagation in different climatic regions of China

2021 ◽  
Vol 255 ◽  
pp. 106996
Author(s):  
Yibo Ding ◽  
Xinglong Gong ◽  
Zhenxiang Xing ◽  
Huanjie Cai ◽  
Zhaoqiang Zhou ◽  
...  
Keyword(s):  
Agricultural Drought ◽  
Climatic Regions
Sign in / Sign up

Export Citation Format

Share Document