Spatial and temporal assessment of drought dynamics in Bahawalpur (Pakistan) using remote sensing and meteorological data

IF 2.8 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Muhammad Nasar-u-Minallah, Nusrat Parveen, Muhammad Farrukh Shahzad, Rabia Tabassum
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引用次数: 0

Abstract

Drought is a multifaceted and challenging natural disaster affecting areas all over the world. It poses recurring and serious challenges to agriculture, livestock, food security, water availability, public health, as well as environmental stability and resilience. Pakistan is one such country that has suffered recurring droughts year after year. This research focuses on examining and forecasting drought trends in three districts of the Bahawalpur division: Bahawalnagar (BHN), Bahawalpur (BHP), and Rahim Yar Khan (RYK). This study aims to evaluate spatial and temporal trends in drought occurrences based on remotely sensed data and climate data over the period 2012–2022. This study estimates drought patterns and analyzes their intensity to improve drought management and mitigation. Remote sensing data are analyzed through the cloud-based Google Earth Engine (GEE) platform to estimate various drought indices. The research applied the Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) to calculate the Vegetation Condition Index (VCI), Temperature Condition Index (TCI), and Vegetation Health Index (VHI). The Palmer Drought Severity Index (PDSI) and Normalized Difference Water Index (NDWI) indices further support in determining the intensity of droughts and soil moisture in the study area. Moreover, future temperature forecasts for the areas are formed based on the ARIMA model, executed on the Google Colab platform in Python. The key findings of this research indicate that the years 2012, 2017, and 2022 were classified as drought years with high values of the drought index during the study period. According to the percentage area of VCI, the most severe drought was observed in 2017 (21.82%), followed by 2016 (17.99%) and 2012 (14.44%), respectively. Temperature modeling indicates a rising trend in temperature in both the Bahawalpur (BHP) and Rahim Yar Khan (RYK) districts. The general climate features of the Bahawalpur division depict extreme aridity, sparse vegetation, water shortage, and low population density. The conclusion reveals the challenges of preventing droughts across Pakistan and offers recommendations for policymakers and stakeholders on developing and regulating more effective strategies to reduce future drought events in South Punjab, Pakistan.

基于遥感和气象数据的巴基斯坦巴哈瓦尔布尔干旱动态时空评价
干旱是一种影响世界各地的多方面和具有挑战性的自然灾害。它给农业、畜牧业、粮食安全、水资源供应、公共卫生以及环境稳定性和复原力带来了反复出现的严重挑战。巴基斯坦就是这样一个年复一年遭受干旱的国家。本研究的重点是检查和预测Bahawalpur分区的三个地区的干旱趋势:Bahawalnagar (BHN), Bahawalpur (BHP)和Rahim Yar Khan (RYK)。基于遥感数据和气候数据,本研究旨在评估2012-2022年干旱发生的时空变化趋势。本研究估计干旱模式并分析其强度,以改善干旱管理和缓解。通过基于云的谷歌Earth Engine (GEE)平台对遥感数据进行分析,估算各种干旱指数。应用归一化植被指数(NDVI)和地表温度(LST)计算植被状况指数(VCI)、温度状况指数(TCI)和植被健康指数(VHI)。Palmer干旱严重指数(PDSI)和归一化差水指数(NDWI)进一步支持了研究区干旱强度和土壤湿度的确定。此外,该地区的未来温度预测是基于ARIMA模型形成的,该模型在Python的谷歌Colab平台上执行。研究结果表明,2012年、2017年和2022年是研究期内干旱指数高值的干旱年。从VCI面积百分比来看,2017年干旱最严重(21.82%),其次是2016年(17.99%)和2012年(14.44%)。温度模型显示Bahawalpur (BHP)和Rahim Yar Khan (RYK)地区的温度都有上升趋势。巴哈瓦尔布尔地区的总体气候特征是极度干旱、植被稀疏、缺水和人口密度低。该结论揭示了在巴基斯坦各地预防干旱的挑战,并为决策者和利益相关者提供了制定和管理更有效的战略以减少巴基斯坦南旁遮普省未来干旱事件的建议。
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来源期刊
Environmental Earth Sciences
Environmental Earth Sciences 环境科学-地球科学综合
CiteScore
5.10
自引率
3.60%
发文量
494
审稿时长
8.3 months
期刊介绍: Environmental Earth Sciences is an international multidisciplinary journal concerned with all aspects of interaction between humans, natural resources, ecosystems, special climates or unique geographic zones, and the earth: Water and soil contamination caused by waste management and disposal practices Environmental problems associated with transportation by land, air, or water Geological processes that may impact biosystems or humans Man-made or naturally occurring geological or hydrological hazards Environmental problems associated with the recovery of materials from the earth Environmental problems caused by extraction of minerals, coal, and ores, as well as oil and gas, water and alternative energy sources Environmental impacts of exploration and recultivation – Environmental impacts of hazardous materials Management of environmental data and information in data banks and information systems Dissemination of knowledge on techniques, methods, approaches and experiences to improve and remediate the environment In pursuit of these topics, the geoscientific disciplines are invited to contribute their knowledge and experience. Major disciplines include: hydrogeology, hydrochemistry, geochemistry, geophysics, engineering geology, remediation science, natural resources management, environmental climatology and biota, environmental geography, soil science and geomicrobiology.
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