Projection of the combination of land use and climate change impacts on runoff in the Bojnourd catchment under CMIP6 Scenarios

Author:

Hossainzadeh Ahmad1,Kashki Abdolreza1,Karami Mokhtar1,Sabbaghian Reza Javidi1

Affiliation:

1. Hakim Sabzevari University

Abstract

Abstract Climate change and land use changes have a significant impact on the hydrological cycle in river basins and water resources in arid and semi-arid regions of the world. Evaluating these changes is necessary to reduce their effects on the basin and develop a suitable strategy to minimize their impacts. Using the LARS-WG and SWAT combined model, this study evaluated the simultaneous effects of land use changes and climate change on the hydrological response of the catchment in the Bojnourd catchment in North Khorasan province, Iran. First, the changes in climate parameters during the years 2049-2020 in the two synoptic stations of Bojnourd and Asadli were investigated in the conditions of climate change using SSP245 scenarios as the medium scenario and SSP585 (pessimistic scenario) from the sixth IPCC CMIP6 report. SUFI2 algorithm is used in SWAT-CUP software to validate and confirm the SWAT model. In the calibration stage, the Nash-Sutcliffe index (NS) coefficient for the basin was 0.59 and in the confirmation stage, this index was 0.50 percent. In this research, land use changes were analyzed and predicted using ENVI software and the CA-Markov model for the years 2001, 2019, and 2040. The Kappa coefficient has been used to determine the accuracy of the land use map and its value for 2001 and 2001. 2019 are 0.91 and 0.95 percent respectively. Human-made land use changes accounted for the most land use changes between 2001 and 2040, which almost tripled in about 40 years. Also, the ratio of pasture has decreased from 61% to about 50%. On the other hand, the share of barren land will increase from 22% to about 27% by 2040. However, the precipitation will be different in Asadli and Bojnourd stations because the first shows a decrease and the second shows a very small amount of increase. The results of the SWAT model showed that the combined effect of both climate change factors and land use changes will reduce the runoff of the basin during the coming period so that the average monthly discharge at the outlet of the basin from 1.26 cubic meters per second in the base period to about 1.04 cubic meters per second (17.5 percent) will decrease in the coming period. The biggest decrease in the ssp585 scenario, as a pessimistic scenario without calculating the effect of land use changes in 2040 and only examining the effect of climate changes in the future period, the basin runoff will decrease by 0.9 cubic meters per second (28.5%). In fact, in both scenarios, the watershed runoff decreases, while the effect of land use change increases the watershed runoff, and this increase is less than the effect of climate change in the watershed.

Publisher

Research Square Platform LLC

Reference39 articles.

1. Akter Eva (2021) Effect of land use and land cover change and climate change on the hydrological response and water quality of Big Creek Lake Watershed South Alabama USA. Auburn University, Degree Master of Science

2. Astuti I, Sahoo S, Milewski K, Mishra A, D (2019) Impact of Land Use Land Cover (LULC) Change on Surface Runoff in an Increasingly Urbanized Tropical Watershed. Water Resources Management

3. Evaluation of the climate change impact on the intensity and return period for drought indices of SPI and SPEI (study area: Varamin plain);Azizi H;Water Supply,2022

4. Budget & Planning Organization of Khorasan Shomali.2020

5. Probabilistic Projections of Climate Change over China under the SRES A1B Scenario Using 28 AOGCMs;CHEN. W;J Clim page,2011

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3