International Water Management Institute, 12 Km Multan Road Chowk Thokar Niaz Baig, Lahore, Pakistan.
University of Birmingham, Dubai, United Arab Emirates.
Sci Rep. 2023 Jun 20;13(1):9958. doi: 10.1038/s41598-023-36909-4.
Many dimensions of human life and the environment are vulnerable to anthropogenic climate change and the hazards associated with it. There are several indices and metrics to quantify climate hazards that can inform preparedness and planning at different levels e.g., global, regional, national, and local. This study uses biased corrected climate projections of temperature and precipitation to compute characteristics of potential climate hazards that are pronounced in the Gomal Zam Dam Command Area (GZDCA)- an irrigated agricultural area in Khyber Pakhtunkhwa province of Pakistan. The results answer the question of what the future holds in the GZDCA regarding climate hazards of heatwaves, heavy precipitation, and agricultural drought. The results of heatwaves and agricultural drought present an alarming future and call for immediate actions for preparedness and adaptation. The magnitude of drought indices for the future is correlated with the crop yield response based on AquaCrop model simulations with observed climate data being used as input. This correlation provides insight into the suitability of various drought indices for agricultural drought characterization. The results elaborate on how the yield of wheat crop grown in a typical setting common in the South Asian region respond to the magnitude of drought indices. The findings of this study inform the planning process for changing climate and expected climate hazards in the GZDCA. Analyzing climate hazards for the future at the local level (administrative districts or contiguous agricultural areas) might be a more efficient approach for climate resilience due to its specificity and enhanced focus on the context.
人类生活的许多方面和环境都容易受到人为气候变化和与之相关的灾害的影响。有几个指数和指标可以量化气候灾害,为不同层次的准备和规划提供信息,例如全球、区域、国家和地方。本研究使用温度和降水的有偏修正气候预测来计算潜在气候灾害的特征,这些特征在巴基斯坦开伯尔-普赫图赫瓦省的戈马尔赞大坝行政区(GZDCA)——一个灌溉农业区表现得尤为明显。研究结果回答了在 GZDCA 地区,关于热浪、强降水和农业干旱等气候灾害,未来会发生什么的问题。热浪和农业干旱的结果呈现出令人担忧的未来,需要立即采取准备和适应措施。未来干旱指数的幅度与基于 AquaCrop 模型模拟的作物产量响应相关,该模型使用观测到的气候数据作为输入。这种相关性提供了对各种干旱指数在农业干旱特征描述方面的适用性的深入了解。研究结果详细说明了在南亚地区常见的典型设置中种植的小麦作物的产量如何响应干旱指数的幅度。本研究的结果为 GZDCA 地区气候变化和预期气候灾害的规划过程提供了信息。由于其特殊性和对背景的更关注,在地方层面(行政区或相邻农业区)分析未来的气候灾害可能是一种更有效的气候适应方法。