Trend analysis of hydrological and water quality variables to detect anthropogenic effects and climate variability on a river basin scale: A case study of Iran

Fooladi, Mahmood; Golmohammadi, Mohammad H.; Safavi, Hamid R.; Mirghafari, Rasoul; Akbari, Hassan

doi:10.1016/j.jher.2021.01.001

Cited by 20 publications

(4 citation statements)

References 73 publications

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“…Long-term phenomena like the rise and fall in the levels of climate variables are understood as major causes leading to global effects on the earth's atmosphere. Under these circumstances, investigating the potential trends in climatic variables is one of the important areas of focus in the field of environmental and water resource engineering [1]. To effectively visualize and characterize past, current, and future water resource conditions at the sub-regional and basin scales, it is of utmost importance to analyze the past and current trends in hydro-meteorological variables [2].…”

Section: Introductionmentioning

confidence: 99%

Trend Analysis of Climatic Variables in the Cross River Basin, Nigeria

Agbiji,

Agunwamba,

Eshiet

2024

Geosciences

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There have been several incidences of flood recently, which are believed to be aggravated by increased climatic variables as a result of perceived changes in climatic conditions (due to climate change) in the Cross River Basin. The basin is the most extensively developed and used river basin in the management of the water resources of the Cross River and Akwa Ibom States in Nigeria. In this paper, 30 years (from 1992 to 2021) of hydro-meteorological data (annual average rainfall, maximum and minimum temperatures, hu midity, duration of sunlight (sunshine hours), evaporation, wind speed, soil temperature, cloud cover, solar radiation, and atmospheric pressure) from four stations in the Cross River Basin were obtained from the Nigerian Meteorological Agency (NIMET), Abuja and subjected to trend detection analysis using the Mann–Kendall test to determine the trend in climatic parameters. The results indicate that there is a significant upward trend in annual rainfall in Ogoja but a downward trend in Calabar. The evaporation trend is significantly downward in Eket, whereas in Calabar, there is an upward trend in solar radiation. Generally, there is a significant rise in annual maximum temperature across the basin. Serial correlation and segmented regression analyses were performed to measure the impact of fluctuations in monthly and long-term Tahiti and Darwin’s Sea level pressures on the climatic variables at the Cross River Basin catchment. These analyses were necessary to determine the extent of the influence of the El Nino Southern Oscillation climatic cycle. The analyses show no significant association between the El Niño Southern Oscillation (ENSO) and rainfall or between the ENSO and runoff in the catchment. This implies that the impact of the ENSO on rainfall and runoff in the Cross River Basin catchment is not considerable. The intercepts derived from the segmented regression in Eket and Ogoja show significant positive trends in both areas for rainfall and runoff. The trends in intercepts suggest that there are external factors influencing rainfall and runoff other than ENSO events, thus strengthening the assertion of climate change. Results from this study will facilitate the understanding of the variability in climatic parameters by stakeholders in the basin, researchers, policymakers, and water resource managers.

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Section: Introductionmentioning

confidence: 99%

Trend Analysis of Climatic Variables in the Cross River Basin, Nigeria

Agbiji,

Agunwamba,

Eshiet

2024

Geosciences

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“…This exploration is crucial for conducting scientifically informed hydrometeorological forecasting and effective water resource management. Moreover, the analysis of change points and trends in hydrometeorological variables has garnered increasing attention from scholars [4,5]. Human-induced climate change has had profound and wide-ranging impacts, leading to more frequent and intense extreme events that exceed the bounds of natural variability.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Analysis of Hydrometeorological Factors in the Source Region of the Dongting Lake Basin, China

Li,

Jiang,

et al. 2023

Atmosphere

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The Dongting Lake basin, located in the middle Yangtze River region, has long been under the threat of climate change. However, there has been a lack of comprehensive analysis and research on the long-term trends and interactions among hydrometeorological factors within the region. To address this gap, this study collected data from 31 meteorological stations in the region and employed statistical analysis methods, including the non-parametric Mann–Kendall test, Sen’s slope test, and cross-wavelet analysis. The results revealed significant increases in temperatures, especially in the spring season, while summer, winter, and annual rainfall also exhibited a significant increase. However, spring and autumn rainfall showed a non-significant decrease, and there was a clear decreasing trend in annual streamflow. Interestingly, evaporation demonstrated a significant increasing trend. The annual average temperature and annual runoff exhibited approximately negative correlations in the 6–10-year resonance period and positive correlations in the 4–6-year resonance period. There are significant positive resonance periods in the relationship between annual precipitation and annual runoff within the range of 0–12 years, indicating that precipitation has a substantial impact and serves as the primary source of runoff. Furthermore, there was a transition between “abundance” and “dry” periods in the annual runoff around 4 a, occurring before and after 1973 and 2005. The change points in annual precipitation and runoff were identified as 1993 and 1983.

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“…They also observed that the temporal and spatial changes of traffic phenomena were continuous. Agossou Gadedjisso-Tossou et al (2021) analyzed rainfall and temperature trends and their significance on dry cereal yield in northern Togo using the Mann–Kendall test Fooladia et al ( 2021 ) investigated the Shahpour River in southern Iran to identify human effects and climate diversity at the river basin scale. They used Mann–Kendall tests, kpss statistics, and homogeneity test at the 5% confidence level.…”

Section: Introductionmentioning

confidence: 99%

Spatial statistics techniques for SPEI and NDVI drought indices: a case study of Khuzestan Province

Nejadrekabi

Eslamian

Zareian

2022

Int. J. Environ. Sci. Technol.

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Drought is a major water resources management issue in Iran. Khuzestan Province is in a drought state due to water shortage. Therefore, identifying areas at high risk of drought and when drought occurs is essential for drought management. For this purpose, this study used precipitation and temperature data of 12 selected stations and MODIS sensor images from the United States Geological Survey database in 2000–2017. The Standardized Precipitation Evapotranspiration Index (SPEI) and the Standardized Normalized Difference Vegetation Index (NDVI) were calculated using the Hargreaves–Samani method and ENVI software. Moreover, different spatial statistics techniques were used in the ArcGIS environment to analyze the results. Also, time series diagrams were drawn, and the trend was evaluated using the Mann–Kendall test. Finally, the distribution of NDVI values was investigated using EasyFit software, and the amount of drought damage was determined using NDVI. The investigation of the cluster maps of the Anselin Local Moran’s Index along with hot and cold spots formed for both SPEI and NDVI showed that drought severity was higher at the southern stations than at the semi-northern and northwestern ones in the province. Moreover, the survey results using the EasyFit software showed that the southern stations, including the Ahvaz, Mahshahr, and Omidiyeh-Aghajari stations, were more at risk of drought than the other stations due to the drought threshold. Furthermore, the total damage caused by drought for the Ahvaz and Abadan stations showed a damage rate of 50%.

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Trend analysis of hydrological and water quality variables to detect anthropogenic effects and climate variability on a river basin scale: A case study of Iran

Cited by 20 publications

References 73 publications

Trend Analysis of Climatic Variables in the Cross River Basin, Nigeria

Trend Analysis of Climatic Variables in the Cross River Basin, Nigeria

Spatiotemporal Analysis of Hydrometeorological Factors in the Source Region of the Dongting Lake Basin, China

Spatial statistics techniques for SPEI and NDVI drought indices: a case study of Khuzestan Province

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