Integrated Watershed Management

Integrated Watershed Management

Variability in Health Zoning due to Applying Different Methods for Averaging Pressure, State, and Response Indices in the Baladeh-e-Noor Watershed, Iran

Document Type : Original Article

Authors
Department of Watershed Management Engineering, Faculty of Natural Resources, Tarbiat Modares University, Noor, Iran
Abstract
Extended Abstract
Introduction: Since the beginning of the industrial revolution, human activities have had a significant impact on climate change and other environmental issues. Based on this, the occurrence of various events caused by human activities, such as land use changes, increased soil erosion, reduced groundwater levels, the expansion of residential and industrial areas in floodplains, and similar cases have increased the destruction of watersheds day by day. is The destruction and confusion of watersheds has led to a decrease in the provision of expected services from watersheds, and in other words, a decrease in ecosystem services. Therefore, the correct evaluation and at the same time the variability of watershed health due to various factors is a vital step in the management and exploitation of ecosystems and showing how the watershed functions. Therefore, in this research, an attempt has been made to evaluate the health status of Balde Noor watershed using problem-oriented and accessible variables. Also, in order to evaluate the effect of different averages on the spatial distribution of watershed health, the health index was calculated using arithmetic, weighted, geometric, summarized, and homogenized averages in Belde Noor watershed in Mazandaran province.
Materials and methods: In this research, based on the conditions of the region and the analysis and refinement of the ecological health and security of the region, 36 key criteria were identified from the set of natural, climatic, human and hydrological factors in the form of pressure (P), state (S) and response (R) indicators. . The studied watershed was divided into 18 subwatersheds using SWAT software. In the following, in order to eliminate the variables with internal correlation and in order to avoid errors in the calculations in each sub-watershed, the variables with internal correlation were removed using the variance inflation factor test. After screening and normalizing the selected criteria in exploring the conceptual approach of pressure-situation-response (PSR), arithmetic, geometric, weighted, summarized and composite averages were used. The main and most important central index that shows the balance point and the center of gravity of the society is the average of a society. Among the types of averages, the arithmetic average always has the highest value in terms of quantity, and the average of the coefficients always has the lowest value, and if all the data are the same (equal), all three averages are equal to each other, so the results of different averages are checked and compared with the results. As a result of the field visit, the index of ecological health and security was evaluated.
Results and Discussion: Examining the results showed that the ecological security was determined to be 0.58. The health status of the Baladeh-e-Noor Watershed was assessed using various methods, including arithmetic, geometric, weighted, summarized, and harmony means, resulting in values of 0.63, 0.62, 0.62, 0.63, and 0.60, indicating a relatively healthy watershed. When prioritizing sub-watersheds, it was found that sub-watershed 9 consistently ranked last across all methods, while sub-watershed 17 emerged as the top performer in arithmetic, weighted, and summarized averages, and sub-watershed 18 took the lead in geometric and harmonic means. The research results indicated that the geometric mean is more usable than other averaging methods due to its ability to reduce the impact of large numbers and balance the mean.
Conclusion: Spatial analysis of the calculated variables indicates that good pasture, population density, and livestock units were the most significant factors influencing the health status of the Baladeh-e-Noor Watershed. The results also revealed spatial variations in health status throughout the watershed, with no significant differences observed when different means were applied. These findings provide a roadmap for future management and conservation efforts within the Baladeh-e-Noor Watershed, inspiring hope for improving its health. To address these findings, it is essential to implement tailored and scientifically sound programs to enhance health outcomes across the watershed. Emphasizing nature-based solutions, cooperative management, and integrated approaches will be crucial in improving the Baladeh-e-Noor Watershed's health. The watershed health index emerges as a valuable tool for evaluating the provision of watershed services based on their capacity. Given the Baladeh-e-Noor Watershed's favorable attributes, such as tourist attractions and a suitable climate, future encroachment, population growth, and expansion of residential areas are inevitable. Therefore, developing and implementing a forward-looking vision for the watershed is imperative, leveraging diverse management strategies, low-impact development practices, and environmental change analysis. This approach will focus on maintaining the health of existing sub-watersheds and transforming unhealthy sub-watersheds into thriving and healthy ecosystems.
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Ahn, S. R., & Kim, S. J. (2019). Assessment of watershed health, vulnerability and resilience for determining protection and restoration Priorities. Environmental Modelling & Software, 122, 103926. https://doi.org/10.1016/j.envsoft.2017.03.014
Alaei, N., Mostafazadeh, R., Esmaliouri, A., Sharari, M., & Hazbavi, Z. (2020). Assessment and comparison of landscape connectivity in KoozehTopraghi watershed, Ardabil province. Iranian Journal of Applied Ecology, 8(4), 19-34. https://doi.org/10.47176/ijae.8.4.2572. (In Persian)
Alilou, H., Rahmati, O., Singh, V. P., Choubin, B., Pradhan, B., Keesstra, S., ..., & Sadeghi, S. H. (2019). Evaluation of watershed health using Fuzzy-ANP approach considering geo environmental and topo-hydrological criteria. Journal of Environmental Management, 232, 22-36. https://doi.org/10.1016/j.jenvman.2018.11.019
Asadifard, E., & Masoudi, M. (2021). Ecological potential evaluation of urban and industrial development in Firoozabad Township using proposed model of EMOLUP. Journal of Environmental Science Studies, 6(3), 3927-3937. (In Persian)
Bañares, E. N., Mehboob, M. S., Khan, A.R., & Cacal, J.C. (2024). Projecting hydrological response to climate change and urbanization using WEAP model: A case study for the main watersheds of Bicol River Basin, Philippines. Journal of Hydrology: Regional Studies, 54, 101846. https://doi.org/10.1016/j.ejrh.2024.101846
Bi, H., Ma, J., Zheng, W., & Zeng, J. (2016). Comparison of soil moisture in GLDAS model simulations and in situ observations over the Tibetan Plateau. Journal of Geophysical Research: Atmospheres, 121(6), 2658-2678.‏ https://doi.org/10.1002/2015JD024131
Chamani, R., Sadeghi, S. H., Zare, S., Shekohideh, H., Mumzaei, A., Amini, H., ..., & Zarei, R. (2024). Flood‐oriented watershed health and ecological security conceptual modeling using pressure, state, and response (PSR) approach for the Sharghonj Watershed, South Khorasan Province, Iran. Natural Resource Modeling, 37(1), e12385. https://doi.org/10.1111/nrm.12385
Ebrahimi Gatgash, Z., & Sadeghi, S. H. (2023). Prioritization-based management of the watershed using health assessment analysis at sub-watershed scale. Environment, Development and Sustainability, 25(9), 9673 9702.‏ https://doi.org/10.1007/s10668-022-02455-8
Ebrahimi Gatgash , P., Salajegheh, A., Mohseni Saravi, M., Malekian, A., & Sadoddin, A. (2018). Watershed Health Prediction based on Surface Water Quality Variables (Case Study: Taleghan Watershed). Geography and Environmental Sustainability, 8(1), 1-13. (In Persian)
Gari, S.R., Guerrero, C.E.O., Bryann, A., Icely, J.D., & Newton, A. (2018). A DPSIR-analysis of water uses and related water quality issues in the Colombian Alto and Medio Dagua Community Council. Water Science, 32(2), 318-337. https://doi.org/10.1016/j.wsj.2018.06.001
Gatz, D. F., & Smith, L. (1995). The standard error of a weighted mean concentration—I. Bootstrapping vs other methods. Atmospheric Environment, 29(11), 1185-1193.‏ https://doi.org/10.1016/13522310(94)00210-C
Ghanbaritaloke, F., Deyantitilki, G.A., & Vafakhah, M. (2015). Investigation of Spatial variability of Artemisia aucheri yield, density and canopy cover using geostatistics methods (Case study: Baladeh watershed). Watershed Management Research, 28(2), 48-56. https://doi.org/10.22092/wmej.2015.107084  (In Persian)
Ghabelnezam, E., Babaei, L., Alaei, N., & Hazbavi, Z. (2023). Development of an incorporative PSR-Fuzzy model for health assessment of the KoozehTopraghi Watershed. Water and Soil Management and Modeling, 3(4), 152-167. https://doi.org/10.22098/mmws.2022.11379.1125 (In Persian)
Hafezparast, M. (2020). Monitoring of groundwater level changes using GRACE and GLDAS satellites in Kermanshah Province. Irrigation and water engineering in Iran, 12 (48), 234-257. https://doi.org/10.22125/IWE.2022.150736  (In Persian)
Hazbavi, Z., & Sadeghi, S.H.R. (2017). Watershed health characterization using reliability-resilience vulnerability conceptual framework based on hydrological response, Land Degradation and conceptual framework based on hydrological response. Development, 28, 1528-1537. https://doi.org/10.1002/ldr.2680
Hazbavi, Z., & Sadeghi, S.H. (2017). Watershed Health (Part two): Pressure, State and Response Conceptual Model. Extension and Development of Watershed Management, 4(15), 25-30. https://doi.org/10.1002/ldr.3420 (In Persian)
Hazbavi, Z., Ghabelnezam, E., Azizi, E., Sharifi, Z., Fathololoumi, S., & Nikoo, M. R. (2023). Assessment of Ecological Quality in the Nir Watershed, Ardabil Province. Watershed Management Research, 36(3), 90-110. https://doi.org/10.22092/wmrj.2023.360357 (In Persian)
Hazbavi, Z., Parchami,N., Alaei, N., & Babaei, L. (2020) .Assessment and Analysis of the KoozehTopraghi Watershed Health Status, Ardabil Province, Iran. Journal of Water and Soil Resources Conservation, 3, 142-12. (In Persian)
Hazbavi, Z., Keesstra, S. D., Nunes, J. P., Baartman, J. E., Gholamalifard, M., & Sadeghi, S. H. (2018). Health comparative comprehensive assessment of watersheds with different climates. Ecological Indicators, 93, 781-790. https://doi.org/10.1016/j.ecolind.2018.05.078
Hazbavi, Z., Sadeghi, S.H.R., Gholamalifard. M., & Davudirad, A.A. (2020). Watershed health assessment using the pressure–state– response (PSR) framework. Land Degradation and Development, 31, 3-1. https://doi.org/10.1002/ldr.3420
IPCC. (2007). Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Inter- governmental Panel on Climate Change. Cambridge University Press,Cambridge, UK and New York, NY, USA.
IPCC. (2013). Climate Change 2013: the physical science basis. Contribution of Working Group I to the 5th Assessment Report of the Intergovern–Mental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, US.
Liang, J., Crowther, T. W., Picard, N., Wiser, S., Zhou, M., Alberti, G., ..., & Reich, P. B. (2016). Positive biodiversity-productivity relationship predominant in global forests. Science, 354(6309), aaf8957.  https://doi.org/10.1126/science.aaf8957
Ma, L., Bo, J., Li, X., Fang, F., & Cheng, W., (2019). Identifying key landscape pattern indices influencing the ecological security of inland river basin: the middle and lower reaches of Shule River Basin as an example. Science of the Total Environment, 674, 424–438. https://doi.org/10.1016/j.scitotenv.2019.04.107
Mahdavi M. (2009). Applied Hydrology. second volume. University of Tehran. 437 pp. (In Persian)
Mosaffaie, J. (2015). Comparison of two methods of regional flood frequency analysis by using L-moments. Water Resources, 42(3), 313–321. https://doi.org/10.1134/S0097807815030112
Mosaffaie, J., Jam, A.S., Tabatabaei, M.R., & Kousari, M.R. (2021). Trend assessment of the watershed health based on DPSIR framework. Land Use Policy, 100(104911). https://doi.org/10.1016/j.landusepol.2020.104911
Ran, C., Wang, S., Bai, X., Tan, Q., Wu, L., Luo, X., ..., & Lu, Q. (2021). Evaluation of temporal and spatial changes of global ecosystem health. Land Degradation & Development, 32(3), 1500-1512. https://doi.org/10.1002/ldr.3813
Rapport, D. J., Gaudet, C. L., Constanza, R., Epstein, P. R., & Levins, R. (Eds.). (2009). Ecosystem health: principles and practice. John Wiley & Sons.
Ratha, D., & Agrawal, V.P. (2015). A digraph permanent approach to evaluation and analysis of integrated watershed management system. Journal of Hydrology, 1(525), 188-196. https://doi.org/10.1016/j.jhydrol.2015.03.046
Saaduddin, A., Shahabi, M., & Bai, M. (2017). Evaluation and comprehensive management of watersheds, principles and approaches of modeling and decision making. Publications of Gorgan University of Agricultural Sciences and Natural Resources, 170 p.
Sadeghi, S. H., Khaledi Darvishan, A., Vafakhah, M., Moradi Rekabdarkolaei, H., Hazbavi, Z., Rajabi, M., ... & Pournabi, S. (2023). Conceptualization and Evaluation of Asiabrood Watershed Health, Chalus Township, Iran. Journal of Watershed Management Research, 14(27), 15-25. https://doi.org/10.61186/jwmr.14.27.15 (In Persian)
Sadeghi, S.H., & Hazbavi, Z. (2017). Spatiotemporal variation of watershed health propensity through reliability-resilience-vulnerability based drought index (case study: Shazand Watershed in Iran). Science of the Total Environment, 587, 168-176. . https://doi.org/10.1016/j.scitotenv.2017.02.098
Sadeghi, S.H., Chamani, R., Silabi, M.Z., Tavosi, M., Katebikord, A., Darvishan, A. K., ..., & Rekabdarkolaei, H.M. (2023). Watershed health and ecological security zoning throughout Iran. Science of the Total Environment, 905, 167123.‏ https://doi.org/10.1016/j.scitotenv.2023.167123
Sadeghi, S.H., Hazbavi, Z., & Gholamalifard, M. (2019). Zonation of health dynamism for the Shazand Watershed based on low and high flow discharges. Watershed Engineering and Management, 11(3), 589-608. https://doi.org/10.22092/ijwmse.2018.120288.1427 (In Persian)
Sadeghi, S. H., Tavoosi, M., Zare, S., Beiranvandi, V., Shekohideh, H., Akbari Emamzadeh, F., Bahlekeh, M., Khorshid Sokhangoy, F., & Chamani, R. (2022). Evaluation and Variability of Flood-Oriented Health of Shiraz Darwazeh Quran Watershed from Watershed Management Structures. Water and Soil, 36(5), 561-577. https://doi.org/10.22067/jsw.2022.78150.1190 (In Persian)
Smithson, P. A. (2002). IPCC, 2001: climate change 2001: the scientific basis. Contribution of Working Group 1 to the Third Assessment Report of the Intergovernmental Panel on Climate Change, edited by JT Houghton, Y. Ding, DJ Griggs, M. Noguer, PJ van der Linden, X. Dai, K. Maskell and CA Johnson (eds). Cambridge University Press, Cambridge, UK, and New York, USA, 2001. No. of pages: 881.
Tavakoli, M., Karimi, H., & Norollahi, H. (2018). Investigation the effects of climate change on water resources of Ilam Dam Watershed. Watershed Engineering and Management, 10(2), 157-170. https://doi.org/10.22092/ijwmse.2018.109322.1264 (In Persian)
Tsai, Y. W., Lin, J. Y., & Chen, Y. C. (2021). Establishment of the watershed health indicators and health check of reservoirs. Ecological Indicators, 127, 107779. https://doi.org/10.1016/j.ecolind.2021.107779
Wang G, Mang S, Cai H, Liu S, Zhang Z, Wang L, & Innes JL (2016) Integrated watershed management: evolution, development and emerging trends. Journal of Forestry Research. 27, 967–994.
https://doi.org/10.1007/s11676-016-0293-3
Wilcox, R.R. (2012). Introduction to robust estimation and hypothesis testing. Academic Press.‏
Wilcox, R.R., & Keselman, H.J. (2003). Modern robust data analysis methods: measures of central tendency. Psychological Methods, 8(3), 254.‏
Zwillinger, D. (2002). CRC standard mathematical tables and formulae. Chapman and hall/CRC.‏ https://doi.org/10.1201/9781420035346

  • Receive Date 16 July 2024
  • Revise Date 13 August 2024
  • Accept Date 06 September 2024