Proposing a Popular Method for Meteorological Drought Monitoring in the Kabul River Basin, Afghanistan

Alami, Mohammad Musa; Hayat, Ehsanullah; Tayfur, Gökmen

doi:10.22161/ijaers.4.6.12

Cited by 12 publications

(10 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…3, 6, 9, and 12-month SPI values were calculated to perform a more detailed analysis of the precipitation data and the process of drought and wet periods, then the results are shown in 4). This result is compatible with the idea that SPI values are more likely to be affected by seasonal changes when short periods are considered [Alami et al, 2017].…”

Section: Resultssupporting

confidence: 90%

Investigation of Transition Possibilities Between Drought Classifications Using Standardized Precipitation Index For Wet and Dry Periods – Lower Seyhan Plain, Türkiye Case

DEĞERLİ¹,

Çapar²,

Turhan³

2023

J. Ecol. Eng.

View full text Add to dashboard Cite

In this study, the Karaisalı region of Türkiye, which has a semi-arid climate and is known to contain the extensive plains and rich water resources of the Seyhan Basin, was preferred as a study area for investigating wet and drought periods for a long timescale. Forty-one years of total precipitation data, between 1980 and 2020, belonging to the closest precipitation observation station located in the Karaisalı region were used. By using the Standardized Precipitation Index (SPI), which is one of the frequently used meteorological drought indices, drought classification probabilities, expected first transition period and residence time in each drought severity class values were calculated for the 12-month time scale. As a result of the study, it was determined that the most drought period took place in 2012 according to the examined time duration. In addition, the most wet period was observed in 2001. When various time scales were considered, SPI-3 and SPI-6 have Near Normal Wet periods, while SPI-9 and SPI-12 have Near Normal Drought periods. Extremely Wet periods were more numerous, while Extremely Drought periods lasted longer. In addition, 3 months after the end of the drought categories, it can be seen that the Wet and Drought periods change into Near Normal Wet and Near Normal Drought periods.

show abstract

Section: Resultssupporting

confidence: 90%

Investigation of Transition Possibilities Between Drought Classifications Using Standardized Precipitation Index For Wet and Dry Periods – Lower Seyhan Plain, Türkiye Case

DEĞERLİ¹,

Çapar²,

Turhan³

2023

J. Ecol. Eng.

View full text Add to dashboard Cite

show abstract

“…In 1993, McKee first proposed the SPI, which was recognized as the primary index for drought research by the WMO [53]. In the past two decades, the SPI has been widely used for different drought research [54][55][56][57][58]. The calculation of the SPI can be divided into two steps.…”

Section: Spimentioning

confidence: 99%

Spatiotemporal Comparison of Drought in Shaanxi–Gansu–Ningxia from 2003 to 2020 Using Various Drought Indices in Google Earth Engine

et al. 2022

View full text Add to dashboard Cite

As a common natural disaster, drought can significantly affect the agriculture productivity and human life. Compared to Southeast China, Northwest China is short of water year-round and is the most frequent drought disaster area in China. Currently, there are still many controversial issues in drought monitoring of Northwest China in recent decades. To further understand the causes of changes in drought in Northwest China, we chose Shaanxi, Gansu, and Ningxia provinces (SGN) as our study area. We compared the spatiotemporal characteristics of drought intensity and frequency in Northwest China from 2003 to 2020 showed by the Standardized Precipitation Index (SPI), Vegetation Condition Index (VCI), Temperature Condition Index (TCI), Vegetation Health Index (VHI), Normalized Vegetation Supply Water Index (NVSWI), Soil Moisture Condition Index (SMCI), and Soil Moisture Agricultural Drought Index (SMADI). All of these indices showed a wetting trend in the SGN area from 2003 to 2020. The wetting trend of the VCI characterization is the most obvious (R2 = 0.9606, p < 0.05): During the period 2003–2020, the annual average value of the VCI in the SGN region increased from 28.33 to 71.61, with a growth rate of 153.57%. The TCI showed the weakest trend of wetting (R2 = 0.0087), with little change in the annual average value in the SGN region. The results of the Mann–Kendall trend test of the TCI indicated that the SGN region experienced a non-significant (p > 0.05) wetting trend between 2003 and 2020. To explore the effectiveness of different drought indices, we analyzed the Pearson correlation between each drought index and the Palmer Drought Severity Index (PDSI). The PDSI can not only consider the current water supply and demand situation but also consider the impact of the previous dry and wet conditions and their duration on the current drought situation. Using the PDSI as a reference, we can effectively verify the performance of each drought index. SPI-12 showed the best correlation with PDSI, with R values greater than 0.6 in almost all regions and p values less than 0.05 within one-half of the study area. SMADI had the weakest correlation with PDSI, with R values ranging −0.4~−0.2 and p values greater than 0.05 in almost all regions. The results of this study clarified the wetting trend in the SGN region from 2003 to 2020 and effectively analyzed the differences in each drought index. The frequency, duration, and severity of drought are continuously reduced; this helps us to have a more comprehensive understanding of the changes in recent decades and is of significance for the in-depth study of drought disasters in the future.

show abstract

“…Jayasiri and Dahanayaka [63] reported that saltwater Droughts had enormous impacts on other natural resources in South Asia. Afghanistan experienced a 5-year consecutive drought from 2000 to 2004, and drought in 2001 severely impacted on Kabul river basin (KRB) [62]. In late February or early March in Afghanistan, the annual droughts caused a reduction of river flows to the Tarbela dam, leading to a 50% water shortage over the area.…”

Section: Country Drought Impact On Crop Production Sourcementioning

confidence: 99%

“…The extreme drought observed in 2000 and 2001 had a significant influence on the NDVI, with a substantial decrease compared to previous periods. Alami et al [62] applied the SPI along with three statistical distributions (i.e., normal, log-normal, and Gamma distributions), Percent of Normal Precipitation Index (PNPI), Deciles Index (DI), and China-Z Index (CZI) for the foremost on KRB in Afghanistan to identify appropri-ate monitoring index for the basin. The results revealed that the historical extremes and severe drought periods in KRB are well captured by the log-normal distribution-based SPI, gamma distribution-based SPI, and DI.…”

Section: Northwestern Region (Afghanistan and Pakistan)mentioning

confidence: 99%

Drought in South Asia: A Review of Drought Assessment and Prediction in South Asian Countries

et al. 2021

View full text Add to dashboard Cite

South Asian countries have been experiencing frequent drought incidents recently, and due to this reason, many scientific studies have been carried out to explore drought in South Asia. In this context, we review scientific studies related to drought in South Asia. The study initially identifies the importance of drought-related studies and discusses drought types for South Asian regions. The representative examples of drought events, severity, frequency, and duration in South Asian countries are identified. The Standardized Precipitation Index (SPI) was mostly adopted in South Asian countries to quantify and monitor droughts. Nevertheless, the absence of drought quantification studies in Bhutan and the Maldives is of great concern. Future studies to generate a combined drought severity map for the South Asian region are required. Moreover, the drought prediction and projection in the regions is rarely studied. Furthermore, the teleconnection between drought and large-scale atmospheric circulations in the South Asia has not been discussed in detail in most of the scientific literature. Therefore, as a take-home message, there is an urgent need for scientific studies related to drought quantification for some regions in South Asia, prediction and projection of drought for an individual country (or as a region), and drought teleconnection to atmospheric circulation.

show abstract

Proposing a Popular Method for Meteorological Drought Monitoring in the Kabul River Basin, Afghanistan

Cited by 12 publications

References 0 publications

Investigation of Transition Possibilities Between Drought Classifications Using Standardized Precipitation Index For Wet and Dry Periods – Lower Seyhan Plain, Türkiye Case

Investigation of Transition Possibilities Between Drought Classifications Using Standardized Precipitation Index For Wet and Dry Periods – Lower Seyhan Plain, Türkiye Case

Spatiotemporal Comparison of Drought in Shaanxi–Gansu–Ningxia from 2003 to 2020 Using Various Drought Indices in Google Earth Engine

Drought in South Asia: A Review of Drought Assessment and Prediction in South Asian Countries

Contact Info

Product

Resources

About