Spatiotemporal variability of precipitation concentration in Pakistan

Author:

Zaman Muhammad1ORCID,Shahid Muhammad Adnan12,Ahmad Ijaz3,Shen Yan‐Jun4,Usman Muhammad5,Khan Muhammad Imran1,Saifullah Muhammad6

Affiliation:

1. Department of Irrigation and Drainage University of Agriculture Faisalabad Pakistan

2. NCGSA ‐ Agricultural Remote Sensing Lab University of Agriculture Faisalabad Pakistan

3. Center of Excellence in Water Resources Engineering University of Engineering and Technology Lahore Pakistan

4. Key Laboratory of Agricultural Water Resources, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology Chinese Academy of Sciences Shijiazhuang China

5. Department of Geoecology, Institute of Geosciences and Geography University of Halle‐Wittenberg Halle (Saale) Germany

6. Department of Agricultural Engineering Muhammad Nawaz Shareef University of Agriculture Multan Pakistan

Abstract

AbstractPrecipitation is a meteorological variable that plays a vital role in determining water resources and managing water risks. The intensity and frequency of precipitation extremes have increased in recent years; however, the changes in precipitation regimes across Pakistan remain unclear. This study analysed spatial and temporal changes in the precipitation concentration index (PCI) and concentration index (CI) from 100 meteorological stations across Pakistan from 1981 to 2017. Using innovative trend analysis (ITA) and Pettitt's test, we detected trends and change points in the annual and wet season PCI and CI. Additionally, we examined the relationship between PCI/CI values and latitude and altitude. The results revealed that the CI and PCI ranged between 0.48–0.78 and 10–55, respectively, with higher values being more prevalent in the dry and hot zones of the country. The study established a linear relationship between PCI/CI values, latitude and altitude, with higher values at lower altitudes and a decrease in values from south to north. Most stations presented a significant positive ITA trend for PCI and CI from 1981 to 2017, with a change between 1985 and 1995, indicating an overall increase in heavy precipitation events in the area. These findings are crucial for disaster preparedness, water resource planning, the mitigation of drought and flood risks, and conservation efforts.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Wiley

Subject

Atmospheric Science

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