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Article ; Online: Riparian Soil Pollution Caused by Sediment Metal Transport: Seasonal Changes and Ecological Risk Assessment.

Çelebi, Ahmet / Şengörür, Bülent / Torabi Haghighi, Ali / Danandeh Mehr, Ali

2024 Volume 12, Issue 3

Abstract: The accumulation of pollutants in the sediment along surface water may negatively affect riparian zones and increase ecological risk. This article investigates the effects of metal sediments on riparian soil via field monitoring and ICP-OES analysis. To ... ...

Abstract	The accumulation of pollutants in the sediment along surface water may negatively affect riparian zones and increase ecological risk. This article investigates the effects of metal sediments on riparian soil via field monitoring and ICP-OES analysis. To this end, pollution levels, seasonal changes, and potential sources of the pollutants were determined for the Melen River watershed, Turkey. The ecological statuses (contamination factor, enrichment factor, index of geo-accumulation, pollution index, modified pollution index, and potential and modified ecological risk indexes) of the watershed were also analyzed. Although no significant seasonal differences in the metal sediments were observed, their spatial distribution in the sediments and riparian soils varied markedly. Cr (11.4 to 136), Co (7.7 to 21.52), Cu (11.4 to 76.6), and Ni (14.06 to 128.2) recorded as mg/kg significantly increased from the upstream to the downstream. The metals possessing the highest risk in the sediment and riparian soil regarding the river health were Cu, Co, and Ni. The risk values were found to be heavily polluted (
Language	English
Publishing date	2024-03-13
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2733883-6
ISSN	2305-6304 ; 2305-6304
ISSN (online)	2305-6304
ISSN	2305-6304
DOI	10.3390/toxics12030213
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Satellite-based agricultural water consumption assessment in the ungauged and transboundary Helmand Basin between Iran and Afghanistan

Akbari, Mahdi / Torabi Haghighi, Ali

Remote Sensing Letters. 2022 Dec. 02, v. 13, no. 12 p.1236-1248

2022

Abstract: Hamun Lake, the greatest (>8500 km²) freshwater in the Iran plateau, has almost entirely dried over the last 20 years. The flow of the Hirmand (or Helmand) River, the most important feeding river, has decreased from 4.0 to 1.9 km³ in the border of Iran- ... ...

Abstract	Hamun Lake, the greatest (>8500 km²) freshwater in the Iran plateau, has almost entirely dried over the last 20 years. The flow of the Hirmand (or Helmand) River, the most important feeding river, has decreased from 4.0 to 1.9 km³ in the border of Iran-Afghanistan. In this river basin, the annual water consumption for irrigation is over 90% of the total consumed water. This study aims to calculate the increase in agricultural water consumption in the last two decades. Due to the lack of in-situ data across Afghanistan (including ∼80% of the studied area), this research utilizes remote-sensing. Using Google Earth Engine, land use maps for the years 2002, 2008, 2013, 2017, and 2021 were developed by a supervised classification scheme. Since 2002, it was found that the cropland area has increased from 2008 to 5475 km². Most cropland has been developed around the Kajaki dam. Based on the Penman-Monteith-Leuning Evapotranspiration version 2 (PML V2) actual evapotranspiration (AET) data (our model assumes the irrigation efficiency equal to 0.3), the annual consumed water has increased from 2 to over 6 km³ in the last two decades. The presented framework in this study can be recommended for other ungauged basins.
Keywords	Internet ; basins ; cropland ; evapotranspiration ; freshwater ; irrigation ; lakes ; land use ; models ; remote sensing ; rivers ; satellites ; watersheds ; Afghanistan ; Iran
Language	English
Dates of publication	2022-1202
Size	p. 1236-1248.
Publishing place	Taylor & Francis
Document type	Article ; Online
ISSN	2150-7058
DOI	10.1080/2150704X.2022.2142074
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Can river flow prevent land subsidence in urban areas?

Sharifi, Alireza / Khodaei, Behshid / Ahrari, Amirhossein / Hashemi, Hossein / Torabi Haghighi, Ali

The Science of the total environment

2024 Volume 917, Page(s) 170557

Abstract: Land subsidence, a silent death, occurs due to various factors like significant reduction in groundwater (GW) levels. It is a widespread phenomenon with irreparable consequences on buildings, infrastructures, and, in severe cases, groundwater aquifers. ... ...

Abstract	Land subsidence, a silent death, occurs due to various factors like significant reduction in groundwater (GW) levels. It is a widespread phenomenon with irreparable consequences on buildings, infrastructures, and, in severe cases, groundwater aquifers. This study aims to assess the impact of river flow on the acceleration and control of land subsidence in an arid and semi-arid region. To achieve this goal, we analyze the interconnection between GW and SW and investigate the role of the Zayandeh-Rud River's drying up on land subsidence in the Isfahan-Borkhar aquifer in Iran's central plateau. To facilitate this assessment, we utilize the Interferometric Synthetic Aperture Radar (InSAR) technique to estimate the vertical deformation velocity of the aquifer (average land subsidence rate). The results show that the Isfahan-Borkhar aquifer has experienced a significant annual decline of more than 25 m, with an alarming rate exceeding 0.8 m/year. Our analysis of 31 piezometric wells (P-Wells) from 2000 to 2022 reveals a downward monotonic (in 16 P-Wells) and nonmonotonic (in 12 P-Wells) trend in groundwater table changes. Moreover, the GW table in the P-Wells near the river depends entirely on river flow. Furthermore, our findings indicate that river regulation exerts a dominant role in the control of land subsidence. Consequently, when water flows in the Zayandeh-Rud River, the rate of land subsidence declines significantly, particularly in urban regions. Therefore, maintaining a constant flow of water in the river can prevent or reduce ongoing land subsidence in Isfahan.
Language	English
Publishing date	2024-02-01
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2024.170557
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Article ; Online: A comprehensive evaluation of the satellite precipitation products across Iran

Dehaghani, Asieh Mousavi / Gohari, Alireza / Zareian, Mohammad Javad / Torabi Haghighi, Ali

Journal of Hydrology: Regional Studies. 2023 Apr., v. 46 p.101360-

2023

Abstract: Iran This study evaluated three satellite precipitation products, including PERSIANN-CCS and TRMM-3B42RT V7 (near real-time satellites) and CMOROH (post real-time satellite), on hourly, daily, monthly, and annual time scales in 52 synoptic stations over ... ...

Abstract	Iran This study evaluated three satellite precipitation products, including PERSIANN-CCS and TRMM-3B42RT V7 (near real-time satellites) and CMOROH (post real-time satellite), on hourly, daily, monthly, and annual time scales in 52 synoptic stations over Iran. This study aims to evaluate the accuracy of satellite- precipitation products over different return periods and durations as well as their performance in different climates and altitudes. The Pearson's correlation coefficient (Rp), Relative Root Mean Square Error (RRMSE), and Relative Bias (RBᵢₐₛ) as well as three probability indices including Probability of Detection (POD), False Alarm Ratio (FAR), and Critical Success Index (CSI) were applied to evaluate the accuracy of these products. In addition, the sub-daily IDF curves (6, 12, 18, and 24 h) were derived to evaluate the studied satellites precipitation for 5, 10-, 20-, 50-, and 100-year return periods. The results showed that the modification method could significantly improve all satellites' performance in precipitation estimation. The IDF curves derived from the CMORPH satellite as post real-time satellite precipitation product, showed the highest accuracy compared to synoptic stations. The TRMM and CMORPH underestimated precipitation by 56% and 8%, respectively, while PERSIANN-CCS overestimated precipitation by 143%. However, PERSIANN-CCS performed better in detecting the occurrence and non-occurrence of precipitation than other products. For Northeastern and Southwestern Iran, all products showed the same performance in accurately detecting occurrence and precipitation.
Keywords	hydrology ; probability ; satellites ; Iran ; Satellite precipitation ; PERSIANN-CCS ; TRMM-3B42RT V7 ; CMORPH ; IDF curve
Language	English
Dates of publication	2023-04
Publishing place	Elsevier B.V.
Document type	Article ; Online
Note	Use and reproduction
ZDB-ID	2814784-4
ISSN	2214-5818
ISSN	2214-5818
DOI	10.1016/j.ejrh.2023.101360
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: A new multi‐criteria framework to identify optimal detention ponds in urban drainage systems

Hosseinzadeh, Azadeh / Behzadian, Kourosh / Rossi, Pekka / Karami, Mozhgan / Ardeshir, Abdollah / Torabi Haghighi, Ali

Journal of Flood Risk Management. 2023 June, v. 16, no. 2 p.e12890-

2023

Abstract: Urban development broadly impacts the hydrological cycle, leading to increased peak flow and flooding. Surface water detention ponds are among the most efficient measures for attenuating peak flow and returning it from development to pre‐development ... ...

Abstract	Urban development broadly impacts the hydrological cycle, leading to increased peak flow and flooding. Surface water detention ponds are among the most efficient measures for attenuating peak flow and returning it from development to pre‐development conditions. However, the major challenge is identifying optimal locations and cost‐effective designs for these ponds. This paper presents a new framework for identifying the best strategies for using detention ponds to control floods in urban drainage systems (UDS). The framework comprises a portfolio of simulation tools coupled with evolutionary optimisation and multi‐criteria decision analysis models. Hydraulic simulation of UDS is first modelled using SWMM and GIS tools. A multi‐objective optimisation model was used to find the optimal location and design for detention ponds. The compromise programming (CP) multi‐criteria decision‐making method was then used to prioritise potential best management solutions for detention ponds based on several sustainability criteria comprising economic, environmental, physiographic and social factors. The results identified the key features of potential detention ponds appearing in all multi‐objective optimal solutions that are useful for decision‐makers/designers when planning/designing for new detention ponds. The selected optimal pond strategies can significantly improve the UDS performance by decreasing flood damage between 66% and 90% at the cost of between $50,000 and $160,000.
Keywords	cost effectiveness ; drainage ; flood damage ; hydrologic cycle ; models ; multi-criteria decision making ; risk management ; surface water ; urban development
Language	English
Dates of publication	2023-06
Publishing place	Blackwell Publishing Ltd
Document type	Article ; Online
Note	JOURNAL ARTICLE
ZDB-ID	2430376-8
ISSN	1753-318X
ISSN	1753-318X
DOI	10.1111/jfr3.12890
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: A probability‐based model to quantify the impact of hydropeaking on habitat suitability in rivers

Jelovica, Bähar / Marttila, Hannu / Ashraf, Faisal Bin / Kløve, B. / Torabi Haghighi, Ali

River Research and Applications. 2023 Mar., v. 39, no. 3 p.490-500

2023

Abstract: A negative effect of hydropower on river environment includes rapid changes in flow and habitat conditions. Any sudden flow change could force fish to move towards a refuge area in a short period of time, causing serious disturbances in the life cycle of ...

Abstract	A negative effect of hydropower on river environment includes rapid changes in flow and habitat conditions. Any sudden flow change could force fish to move towards a refuge area in a short period of time, causing serious disturbances in the life cycle of the fish. A probability‐based model was developed to quantify the impact of hydropeaking on habitat suitability for two fish species, brown trout (Salamo trutta) and Grayling (Thymallus thymallus). The model used habitat preference curves, river velocity and depth to develop the suitability maps. The suitability maps reveal that habitat suitability deteriorates as flow increases in the studied part of the river. The probability model showed that, on average, suitability indices are higher for adult grayling than juvenile trout in hydropeaking events in this part of the river. The method developed shows the potential to be used in river management and the evaluation of hydropeaking impacts in river systems affected by hydropower.
Keywords	Salmo trutta ; Thymallus thymallus ; adults ; habitat preferences ; juveniles ; models ; probability ; refuge habitats ; research ; rivers ; trout ; water power
Language	English
Dates of publication	2023-03
Size	p. 490-500.
Publishing place	John Wiley & Sons, Ltd.
Document type	Article ; Online
Note	JOURNAL ARTICLE
ZDB-ID	2072626-0
ISSN	1535-1459
ISSN	1535-1459
DOI	10.1002/rra.4050
Database	NAL-Catalogue (AGRICOLA)

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Article: Spatiotemporal evaluation of future groundwater recharge in arid and semi-arid regions under climate change scenarios

Andaryani, Soghra / Nourani, Vahid / Pradhan, Biswajeet / Jalali Ansarudi, Tahereh / Ershadfath, Farnaz / Torabi Haghighi, Ali

Hydrological sciences journal. 2022 Apr. 26, v. 67, no. 6

2022

Abstract: In this study, the Hydrologic Evaluation of Landfill Performance (HELP3.8D) model was developed to evaluate the spatiotemporal distribution of potential groundwater recharge (GWR) in Tasuj aquifer, northwestern Iran. High-resolution future climatic data ... ...

Abstract	In this study, the Hydrologic Evaluation of Landfill Performance (HELP3.8D) model was developed to evaluate the spatiotemporal distribution of potential groundwater recharge (GWR) in Tasuj aquifer, northwestern Iran. High-resolution future climatic data from second-generation Canadian Earth System Model (CanESM2) general circulation models (GCMs) was produced under different scenarios of Representative Concentration Pathways (RCP2.6, RCP4.5, and RCP8.5). The analysis of climate parameters demonstrated that under RCP2.6, climatic variation will be substantially similar to that of the observed period (1961–2005), while moderate and severe droughts are anticipated under scenarios RCP4.5 and RCP8.5, respectively, over 2017–2030. The projection results showed that GWR will be altered by climate change, on average, from 31 mm/year at baseline to 32 (+3%), 28.5 (−8%) and 11.5 (−63%) mm/year under the RCP2.6, RCP4.5 and RCP8.5 scenarios, respectively. This approach can be easily replicated by other researchers and could be beneficial for monitoring water security and managing groundwater resources in other catchment areas.
Keywords	aquifers ; climate change ; groundwater ; groundwater recharge ; landfills ; water security ; watersheds ; Iran
Language	English
Dates of publication	2022-0426
Size	p. 979-995.
Publishing place	Taylor & Francis
Document type	Article
ISSN	2150-3435
DOI	10.1080/02626667.2022.2050732
Database	NAL-Catalogue (AGRICOLA)

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Article: Expanding the Irrigated Areas in the MENA and Central Asia: Challenges or Opportunities?

Abou Zaki, Nizar / Kløve, Bjørn / Torabi Haghighi, Ali

Water. 2022 Aug. 20, v. 14, no. 16

2022

Abstract: Middle Eastern, North African countries (MENA), and Central Asian countries are considered the countries most facing water and food scarcity. The current water exploitation indicates that a few countries are overexploiting their water resources and using ...

Abstract	Middle Eastern, North African countries (MENA), and Central Asian countries are considered the countries most facing water and food scarcity. The current water exploitation indicates that a few countries are overexploiting their water resources and using the fossil water available. This study reviews each country’s renewable water resources volume and evaluates the resources available to expand the agricultural area. Different scenarios are considered, using both irrigated and rainfed farming options, for concluding the most sustainable farming method in each country. Different scenarios are considered using irrigated and rainfed farming options to recommend the most sustainable farming method for each country. Results show that the countries in the MENA and Central Asia can be divided into three main categories: (1) Countries whose expansion of agricultural area can only be applied by using fossil water resources (Bahrain, Egypt, Kuwait, Libya, Qatar, Saudi Arabia, Turkmenistan, United Arab Emirates, and Uzbekistan); (2) Countries where the agricultural area can be expanded to a certain limit, by sustainably using both irrigated and rainfed farming (Afghanistan, Algeria, Iran, Palestine, Jordan, Kazakhstan, Morocco, Oman, Syria, Tajikistan, Tunisia, and Yemen); (3) Countries that have enough renewable water resources to farm all their agricultural area (Lebanon, Iraq, Turkey, and Kyrgyzstan). However, the aim of this study and its results are only to assess the renewable water resources available to sustain the increased agricultural water demand by setting aside other agricultural factors that constrain the sector.
Keywords	fossils ; irrigation ; water ; Afghanistan ; Algeria ; Bahrain ; Egypt ; Iran ; Iraq ; Jordan ; Kazakhstan ; Kuwait ; Kyrgyzstan ; Lebanon ; Libya ; Morocco ; Oman ; Palestine ; Qatar ; Saudi Arabia ; Syria ; Tajikistan ; Tunisia ; Turkmenistan ; Uzbekistan ; Yemen
Language	English
Dates of publication	2022-0820
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2521238-2
ISSN	2073-4441
ISSN	2073-4441
DOI	10.3390/w14162560
Database	NAL-Catalogue (AGRICOLA)

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Article: A new evolutionary time series model for streamflow forecasting in boreal lake-river systems

Danandeh Mehr, Ali / Ghadimi, Sahand / Marttila, Hannu / Torabi Haghighi, Ali

Theoretical and applied climatology. 2022 Apr., v. 148, no. 1-2

2022

Abstract: Genetic programming (GP) is an evolutionary regression method that has received considerable interest to model hydro-environmental phenomena recently. Considering the sparseness of hydro-meteorological stations on northern areas, this study investigates ... ...

Abstract	Genetic programming (GP) is an evolutionary regression method that has received considerable interest to model hydro-environmental phenomena recently. Considering the sparseness of hydro-meteorological stations on northern areas, this study investigates the benefits and downfalls of univariate streamflow modeling at high latitudes using GP and seasonal autoregressive integrated moving average (SARIMA). Furthermore, a new evolutionary time series model, called GP-SARIMA, is introduced to enhance streamflow forecasting accuracy at long-term horizons in a lake-river system. The paper includes testing the new model for one-step-ahead forecasts of daily mean, weekly mean, and monthly mean streamflow in the headwaters of the Oulujoki River, Finland. The results showed that a combination of correlogram and average mutual information (AMI) analysis might yield in the selection of the optimum lags that are needed to be used as the predictors of streamflow models. With Nash-Sutcliffe efficiency values of more than 99%, both GP and SARIMA models exhibited good performance for daily streamflow prediction. However, they were not able to precisely model the intramonthly snow water equivalent in the long-term forecast. The proposed ensemble model, which integrates the best GP and SARIMA models with the most efficient predictor, may eliminate one-fourth of root mean squared errors of standalone models. The GP-SARIMA also showed up to three times improvement in the accuracy of the standalone models based on the Nash-Sutcliff efficiency measure.
Keywords	climatology ; hydrometeorology ; models ; prediction ; regression analysis ; rivers ; stream flow ; time series analysis ; Finland
Language	English
Dates of publication	2022-04
Size	p. 255-268.
Publishing place	Springer Vienna
Document type	Article
ZDB-ID	1463177-5
ISSN	1434-4483 ; 0177-798X
ISSN (online)	1434-4483
ISSN	0177-798X
DOI	10.1007/s00704-022-03939-3
Database	NAL-Catalogue (AGRICOLA)

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Article: New indices for assessing changes in seasons and in timing characteristics of air temperature

Hekmatzadeh, Ali Akbar / Kaboli, Sadegh / Torabi Haghighi, Ali

Theoretical and applied climatology. 2020 May, v. 140, no. 3-4

2020

Abstract: Previous studies examining climate change and changes in the timing of seasons have used a fixed temperature threshold for season onset. In this study, the timing of seasons was determined using non-fixed threshold methods. Twelve new timing indices were ...

Abstract	Previous studies examining climate change and changes in the timing of seasons have used a fixed temperature threshold for season onset. In this study, the timing of seasons was determined using non-fixed threshold methods. Twelve new timing indices were defined to account for shifts in seasons and season onset day, thermal centroid day, and length. The Mann-Kendall test, Theil-Sen’s slope estimator, sequential Mann-Kendall test, and least square linear regression were used to assess trends. The timing indices were examined using data from two meteorological stations in Iran with 50 years of records. Spatio-temporal variations in each index over 30 years (1987–2016) were then determined for Khuzestan province in southwestern Iran. Trend analysis for several indices indicated that the timing of seasons had probably changed in the south and west of the study area, while mountainous regions showed non-significant trends. Based on the hottest and coldest 90-day periods (summer and winter, respectively), during the three decades studied, spring lengthened by 5–10 days/decade in the plain region of Khuzestan province and autumn shortened by about 5–8 days/decade. The centroid of winter occurred earlier, by 2–5 days/decade, in the plains area, while the thermal centroid of summer did not change significantly. Overall, the difference between the thermal centroid of winter and summer (Cwᵢₙ₋ₛᵤₘ) in the plains area significantly decreased, by 6–8 days/decade, in the 30-year period.
Keywords	air temperature ; autumn ; climate change ; climatology ; mountains ; regression analysis ; spring ; summer ; winter ; Iran
Language	English
Dates of publication	2020-05
Size	p. 1247-1261.
Publishing place	Springer Vienna
Document type	Article
Note	NAL-AP-2-clean
ZDB-ID	1463177-5
ISSN	1434-4483 ; 0177-798X
ISSN (online)	1434-4483
ISSN	0177-798X
DOI	10.1007/s00704-020-03156-w
Database	NAL-Catalogue (AGRICOLA)

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