Multi-dimensional assessment of watershed condition using a newly developed barometer of sustainability

Mirchooli, Fahimeh; Sadeghi, Seyed Hamidreza; Darvishan, Abdulvahed Khaledi; Strobl, Josef

doi:10.1016/j.scitotenv.2021.148389

Cited by 13 publications

(9 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Kiani-Harchegani and Sadeghi (2020) confirmed that some indicators of land degradation neutrality (LDN) had better conditions in irrigated agricultural lands and orchard land use, primarily in the mentioned subwatersheds, central parts of the Shazand Watershed. Furthermore, a multidimensional assessment of comprehensive watershed sustainability using a recently developed barometer (Mirchooli et al 2021) found a sustainability score of 0.32 to 0.35 from 1986 to 2016, indicating that the Shazand Watershed has improved slightly.…”

Section: Discussionmentioning

confidence: 99%

“…The total area of 1 740 km 2 was divided into 24 subwatersheds based on the hydrologic drainage pattern ( Darabi et al 2014 ). The mean annual precipitation in the watershed is about 420 mm, with a moderate semiarid to cold semiarid climate ( Mirchooli et al 2020( Mirchooli et al , 2021. The mean monthly temperature varies from −1.2 °C in February to + 23.5 °C in August, with temperature patterns heavily influenced by geographical location.…”

Section: Study Areamentioning

confidence: 99%

“…The watershed has also experienced rapid industrial development, urban growth, and land-use changes in recent decades. Furthermore, critical problems related to desertification ( Farmahini Farahani et al 2016 ), watershed health ( Hazbavi et al 2017 ;Hazbavi et al 2020 ), land degradation ( Sadeghi et al 2018 ;Kiani-Harchegani and Sadeghi 2020 ), and sustainability ( Mirchooli et al 2021 ) have been reported for the Shazand Watershed.…”

Section: Study Areamentioning

confidence: 99%

See 2 more Smart Citations

Spatial and Temporal Dynamics of Rangeland Ecosystem Services Across the Shazand Watershed, Iran

Mirchooli

Dabiri

Strobl

et al. 2023

Rangeland Ecology & Management

Self Cite

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

See 1 more Smart Citation

Spatial and Temporal Dynamics of Rangeland Ecosystem Services Across the Shazand Watershed, Iran

Mirchooli

Dabiri

Strobl

et al. 2023

Rangeland Ecology & Management

Self Cite

View full text Add to dashboard Cite

“…Soil erosion of watershed areas leads to suspended sediment (SS) and its transport by flow and sediment yield (Golosov et al 2014;Sadeghi and Singh 2017). The spatio-temporal analysis of sediment yield is needed for watershed management, especially for soil and water conservation and watershed health assessment (Sadeghi et al 2019;Hazbavi et al 2020;Mirchooli et al 2021). The amount of SS produced in a watershed depends on the distribution and duration of precipitation, sediment availability, flow velocity, geomorphology, land cover and human activities (Seeger et al 2004;Messina and Biggs 2016;Rahaman and Solavagounder 2020;Sokolov et al 2020;Waiyasusri and Wetchayont 2020;de Paula et al 2021).…”

Section: Introductionmentioning

confidence: 99%

Efficacy of Synthetic Sediment Graph Developed using Various Modified Time-Area Methods

Katebikord

Sadeghi

Singh

2022

GES

View full text Add to dashboard Cite

Suspended sediment (SS) is an essential indicator for assessing watershed health. However, the temporal variation of SS, called sediment graph (SG) using readily available data, is not always considered, particularly in un-gauged watersheds, which are many in developing countries. Since field measurements of SS are time-consuming and costly, the synthetic SG seems to be a promising alternative. Therefore, it is essential to have reliable SS data for watershed management. This study aimed at simulating SGs through conceptual analysis of soil erosion and sediment yield at the watershed scale. To that end, soil erosion, sediment yield, and sediment routing were modeled using 38 storm events collected during 2011 and 2019 at the Galazchai Watershed in West Azerbaijan Province, Iran. Initially, the Time-Area Method (TAM) was applied, and then two strategies were considered to improve the TAM performance, including RUSLE and sediment delivery ratio (SDR) using gradient ratio and WaTEM/SEDEM methods. Comparing simulated SGs with recorded ones showed that the SDR-based method had the lowest relative error in time to peak and base time, but the peak value had the highest relative error. Results also showed that TAM developed using the spatially distributed travel time method had a better performance than the channel longitudinal profile method. Overall, TAM could not simulate the temporal variation of sediment and needs further research.

show abstract

“…Watersheds have been the bases of many local communities and an important source of livelihood for people [1]. Although many countries have achieved rapid economic growth, water quality (WQ) and quantity and the ecological environmental conditions in watersheds are facing serious problems [2,3].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Land-Use Changes Impact on Watershed Health Using Probabilistic Approaches

Lee

So-Young

Lee

et al. 2021

Water

View full text Add to dashboard Cite

This study evaluated watershed health (WH) change using reference values for environmental changes at various times. Land use in 1985 was defined as the reference value under the most natural conditions, and the WH for the years 1995 to 2019 was calculated in comparison to 1985. The proposed method was used to assess the WH of 78 standard subbasins in South Korea’s Geum River Basin (GRB), where complex land-use change has occurred since 1995. For evaluating hydrology and water quality (WQ) health index, Soil and Water Assessment Tool (SWAT) and four land-use maps (1985, 1995, 2008, and 2019) were used to simulate the hydrology and WQ. A multivariate normal distribution (MND) from poor (0) to good (1) was used to assess WH based on SWAT modeling results. Based on the reference value, the WQ health from 1995 to 2019 changed to within 0.1, while the range of changes in the hydrology index was analyzed over 0.18. As a result of WH changes from 1985 to 2019, hydrological health deteriorated in high-density urbanized subbasins, while WQ health deteriorated in upland-cultivation-increased subbasins. This study provides useful information for recognizing potential WH issues related to long-term environmental changes.

show abstract

Multi-dimensional assessment of watershed condition using a newly developed barometer of sustainability

Cited by 13 publications

References 51 publications

Spatial and Temporal Dynamics of Rangeland Ecosystem Services Across the Shazand Watershed, Iran

Spatial and Temporal Dynamics of Rangeland Ecosystem Services Across the Shazand Watershed, Iran

Efficacy of Synthetic Sediment Graph Developed using Various Modified Time-Area Methods

Evaluation of Land-Use Changes Impact on Watershed Health Using Probabilistic Approaches

Contact Info

Product

Resources

About