Construction and Application of a Seasonal River Health Evaluation System in Arid and Semi-Arid Areas
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Region
2.2. Construction of Indicator System and Determination of Weights
2.2.1. Construction of Indicator System
- (1)
- Hydrology
- (2)
- Habitat
- (3)
- Social services
2.2.2. Determination of Indicator Weights
- (1)
- Using the analytic hierarchy process to calculate the subjective weight (Vi), the formula is as follows.
- (a)
- Construct a contrast matrix.
- (b)
- Calculate weight vectors and perform consistency checks.
- (c)
- Calculate the combination weight vector and perform a combination consistency test. Calculate the combination weight vector of the target at the lowest level and perform a combination consistency test.
- (2)
- Using the entropy method to calculate the objective weight (Wi), select i samples and j indicators, normalize the indicators to obtain xij, calculate the weight fji of the indicators, calculate the entropy value Hi of the i-th indicator, and finally calculate the weight Wi of each indicator. The calculation formula is as follows:
2.3. The Criterion of Index Scoring
3. Results
3.1. Weights of Health Evaluation Indicators for the Tabu River
3.2. Analysis of River Health Assessment
4. Discussion
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
- Wei, H.; Han, Q.; Yang, Y.; Li, L.; Liu, M. Spatial Heterogeneity of Watershed Ecosystem Health and Identification of Its Influencing Factors in a Mountain–Hill–Plain Region, Henan Province, China. Remote Sens. 2023, 15, 3751. [Google Scholar] [CrossRef]
- Hu, X.; Zuo, D.; Xu, Z.; Huang, Z.; Liu, B.; Han, Y.; Bi, Y. Response of macroinvertebrate community to water quality factors and aquatic ecosystem health assessment in a typical river in Beijing, China. Environ. Res. 2022, 212, 113474. [Google Scholar] [CrossRef] [PubMed]
- Cao, J.; Liang, H.; Zhang, Y.; Du, S.; Zhang, J.; Tao, Y. Development and Evaluation of the Plankton Biological Integrity Index (P-IBI) in Dry and Wet Seasons for Dianchi Lake. Ecologies 2024, 5, 68–82. [Google Scholar] [CrossRef]
- Cui, Z.; Fan, W.; Chen, C.; Mo, K.; Chen, Q.; Zhang, Q.; He, R. Ecosystem health evaluation of urban rivers based on multitrophic aquatic organisms. J. Environ. Manag. 2024, 349, 119476. [Google Scholar] [CrossRef] [PubMed]
- Wan, X.; Yang, T.; Zhang, Q.; Yan, X.; Hu, C.; Sun, L.; Zheng, Y. A novel comprehensive model of set pair analysis with extenics for river health evaluation and prediction of semi-arid basin—A case study of Wei River Basin, China. Sci. Total Environ. 2021, 775, 145845. [Google Scholar] [CrossRef] [PubMed]
- Han, H.; Li, X.; Gu, X.; Li, G. Urban rivers health assessment based on the concept of resilience using improved FCM-EWM-MABAC model. Ecol. Indic. 2023, 154, 110833. [Google Scholar] [CrossRef]
- Zhang, Z.; Li, Y.; Wang, X.; Li, H.; Zheng, F.; Liao, Y.; Tang, N.; Chen, G.; Yang, C. Assessment of river health based on a novel multidimensional similarity cloud model in the Lhasa River, Qinghai-Tibet Plateau. J. Hydrol. 2021, 603, 127100. [Google Scholar] [CrossRef]
- Ma, D.; Luo, W.; Yang, G.; Lu, J.; Fan, Y. A study on a river health assessment method based on ecological flow. Ecol. Model. 2019, 401, 144–154. [Google Scholar] [CrossRef]
- Gkenas, C.; Vardakas, L.; Koutsikos, N. Non-Indigenous Freshwater Fishes as Indicators of Ecological Quality in Running Waters. Diversity 2024, 16, 9. [Google Scholar] [CrossRef]
- Yang, W.; Zhong, J.; Xia, Y.; Hu, Q.; Fang, C.; Cong, M.; Yao, B.; You, Q. A Comprehensive Multi-Metric Index for Health Assessment of the Poyang Lake Wetland. Remote Sens. 2023, 15, 4061. [Google Scholar] [CrossRef]
- Zhao, Y.W.; Zhou, L.Q.; Dong, B.Q.; Dai, C. Health assessment for urban rivers based on the pressure, state and response framework—A case study of the Shiwuli River. Ecol. Indic. 2019, 99, 324–331. [Google Scholar] [CrossRef]
- Das, S.; Pradhan, B.; Shit, P.K.; Alamri, A.M. Assessment of Wetland Ecosystem Health Using the Pressure–State–Response (PSR) Model: A Case Study of Mursidabad District of West Bengal (India). Sustainability 2020, 12, 5932. [Google Scholar] [CrossRef]
- Lin, L.; Wang, F.; Chen, H.; Fang, H.; Zhang, T.; Cao, W. Ecological health assessments of rivers with multiple dams based on the biological integrity of phytoplankton: A case study of North Creek of Jiulong River. Ecol. Indic. 2021, 121, 106998. [Google Scholar] [CrossRef]
- Singh, R.; Kayastha, S.P.; Pandey, V.P. Climate change and river health of the Marshyangdi Watershed, Nepal: An assessment using integrated approach. Environ. Res. 2022, 215, 114104. [Google Scholar] [CrossRef]
- Zhou, Y.; Yue, D.; Li, S.; Liang, G.; Chao, Z.; Zhao, Y.; Meng, X. Ecosystem health assessment in debris flow-prone areas: A case study of Bailong River Basin in China. J. Clean. Prod. 2022, 357, 131887. [Google Scholar] [CrossRef]
- Guimarães, L.F.; Teixeira, F.C.; Pereira, J.N.; Becker, B.R.; Oliveira, A.K.B.; Lima, A.F.; Veról, A.P.; Miguez, M.G. The challenges of urban river restoration and the proposition of a framework towards river restoration goals. J. Clean. Prod. 2021, 316, 128330. [Google Scholar] [CrossRef]
- Liu, R.; Dong, X.; Zhang, P.; Zhang, Y.; Wang, X.; Gao, Y. Study on the Sustainable Development of an Arid Basin Based on the Coupling Process of Ecosystem Health and Human Wellbeing Under Land Use Change—A Case Study in the Manas River Basin, Xinjiang, China. Sustainability 2020, 12, 1201. [Google Scholar] [CrossRef]
- Cui, L.; Wang, X.; Li, J.; Gao, X.; Zhang, J.; Liu, Z. Ecological and health risk assessments and water quality criteria of heavy metals in the Haihe River. Environ. Pollut. 2021, 290, 117971. [Google Scholar] [CrossRef] [PubMed]
- Zhang, X.; Meng, Y.; Xia, J.; Wu, B.; She, D. A combined model for river health evaluation based upon the physical, chemical, and biological elements. Ecol. Indic. 2018, 84, 416–424. [Google Scholar] [CrossRef]
- Pinto, U.; Maheshwari, B.L. River health assessment in peri-urban landscapes: An application of multivariate analysis to identify the key variables. Water Res. 2011, 45, 3915–3924. [Google Scholar] [CrossRef] [PubMed]
- Shan, C.; Dong, Z.; Lu, D.; Xu, C.; Wang, H.; Ling, Z.; Liu, Q. Study on river health assessment based on a fuzzy matter-element extension model. Ecol. Indic. 2021, 127, 107742. [Google Scholar] [CrossRef]
- An, K.-G.; Park, S.S.; Shin, J.-Y. An evaluation of a river health using the index of biological integrity along with relations to chemical and habitat conditions. Environ. Int. 2002, 28, 411–420. [Google Scholar] [CrossRef] [PubMed]
- Liu, M.; Zhang, Z.; Lin, L.; Zhao, L.; Dong, L.; Jin, H.; Zou, J.; Li, R.; He, Y. The Content Level, Spatial and Temporal Distribution Characteristics, and Health-Risk Assessment of Trace Elements in Upper Lancang River (Changdu Section). Water 2022, 14, 1115. [Google Scholar] [CrossRef]
- Jargal, N.; Kim, J.-E.; An, K.-G. New interactive functional indicator approach for river health assessment in an Asian temperate river: Comprehensive analysis of water chemistry, physical habitat, land use, and the biological disturbance of invasive alien species. Ecol. Indic. 2023, 157, 111212. [Google Scholar] [CrossRef]
- Chen, Y.; Xia, J.; Cai, W.; Sun, Z.; Dou, C. Three-Phase-Based Approach to Develop a River Health Prediction and Early Warning System to Guide River Management. Appl. Sci. 2019, 9, 4163. [Google Scholar] [CrossRef]
- Ko, N.T.; Suter, P.; Conallin, J.; Rutten, M.; Bogaard, T. The Urgent Need for River Health Biomonitoring Tools for Large Tropical Rivers in Developing Countries: Preliminary Development of a River Health Monitoring Tool for Myanmar Rivers. Water 2020, 12, 1408. [Google Scholar] [CrossRef]
- Li, J.; Chen, X.; Zhang, X.; Huang, Z.; Xiao, L.; Huang, L.; Kano, Y.; Sato, T.; Shimatani, Y.; Zhang, C. Fish Biodiversity Conservation and Restoration, Yangtze River Basin, China, Urgently Needs ‘Scientific’ and ‘Ecological’ Action. Water 2020, 12, 3043. [Google Scholar] [CrossRef]
- Anwar Sadat, M.; Guan, Y.; Zhang, D.; Shao, G.; Cheng, X.; Yang, Y. The associations between river health and water resources management lead to the assessment of river state. Ecol. Indic. 2020, 109, 105814. [Google Scholar] [CrossRef]
- Zhang, Y.; Zhou, K.; Yang, Z.; Zhang, L.; Ren, X. The definition and index system of hydro-ecological carrying capacity (HECC). J. Northwest Univ. 2019, 49, 42–53. (In Chinese) [Google Scholar]
- Geng, L.; Liu, H.; Zhong, H.; Liu, C. Indicators and criteria for evaluation of healthy rivers. J. Hydraul. Eng. 2006, 37, 253–258. (In Chinese) [Google Scholar]
- SL/Z 738-2016; Evalution Guide of Water Ecological Civilization Construction. Ministry of Water Resources of the People’s Republic of China, China Water Power Press: Beijing, China, 2016. (In Chinese)
- Rowntree, K.M.; Wadeson, R.A. A Hierarchical Geomorphological Model for the Classification of Selected South African Rivers; Water Research Commission Report, No. 497/1/99; Water Research Commission: Pretoria, South Africa, 1994. [Google Scholar]
- Water Function Division of Hebei Province. Available online: http://slt.hebei.gov.cn/a/2018/10/31/2018103137436.html (accessed on 25 July 2023).
- Measures for the Administration of Water Functional Zones. Available online: http://www.mwr.gov.cn/zwgk/gknr/201707/t20170726_1442596.html (accessed on 25 July 2023).
- Jungwirth, M.; Muhar, S.; Schmutz, S. Re-establishing and assessing ecological integrity in riverine landscapes. Freshw. Biol. 2002, 47, 867–887. [Google Scholar] [CrossRef]
- Jaiswal, D.; Pandey, J. Anthropogenically enhanced sediment oxygen demand creates mosaic of oxygen deficient zones in the Ganga River: Implications for river health. Ecotoxicol. Environ. Saf. 2019, 171, 709–720. [Google Scholar] [CrossRef]
- Llansó, R.J.; Dauer, D.M.; Vølstad, J.H. Assessing ecological integrity for impaired waters decisions in Chesapeake Bay, USA. Mar. Pollut. Bull. 2009, 59, 48–53. [Google Scholar] [CrossRef]
- Fu, B.; Liu, S.; Ma, M. Content and methods of ecosystem comprehensive assessment. Acta Ecol. Sin. 2001, 11, 1885–1892. [Google Scholar]
- Ministry of Water Resources of the People’ s Republic of China. National River Health Assessment Indicators, Standards and Methods; General Office of the Ministry of Water Resources: Beijing, China, 2010. (In Chinese)
- Vörösmarty, C.J.; McIntyre, P.B.; Gessner, M.O.; Dudgeon, D.; Prusevich, A.; Green, P.; Glidden, S.; Bunn, S.E.; Sullivan, C.A.; Liermann, C.R.; et al. Global threats to human water security and river biodiversity. Nature 2010, 467, 555–561. [Google Scholar] [CrossRef] [PubMed]
- Pan, Z.; He, J.; Liu, D.; Wang, J.; Guo, X. Ecosystem health assessment based on ecological integrity and ecosystem services demand in the Middle Reaches of the Yangtze River Economic Belt, China. Sci. Total Environ. 2021, 774, 144837. [Google Scholar] [CrossRef]
- Arman, N.Z.; Salmiati, S.; Said, M.I.M.; Aris, A. Development of macroinvertebrate-based multimetric index and establishment of biocriteria for river health assessment in Malaysia. Ecol. Indic. 2019, 104, 449–458. [Google Scholar] [CrossRef]
- Pandey, V.; Venkatnarayanan, S.; Kumar, P.S.; Ratnam, K.; Jha, D.K.; Rajaguru, S.; Dharani, G. Assessment of ecological health of Swarnamukhi river estuary, southeast coast of India, through AMBI indices and multivariate tools. Mar. Pollut. Bull. 2021, 164, 112031. [Google Scholar] [CrossRef] [PubMed]
- Kim, J.Y.; An, K.-G. Integrated Ecological River Health Assessments, Based on Water Chemistry, Physical Habitat Quality and Biological Integrity. Water 2015, 7, 6378–6403. [Google Scholar] [CrossRef]
- Zhao, X.; Huang, G. Urban watershed ecosystem health assessment and ecological management zoning based on landscape pattern and SWMM simulation: A case study of Yangmei River Basin. Environ. Impact Assess. Rev. 2022, 95, 106794. [Google Scholar] [CrossRef]
- Lu, C.; Wu, C.; Sun, Q.; Wu, X.; Yan, L.; Qin, T. Seasonal river–lake-groundwater coupling simulation and groundwater overexploitation and ecological environment assessment in the Aiding Lake Basin, NW China. J. Hydrol. 2024, 632, 130896. [Google Scholar] [CrossRef]
- Du, Y.; Bao, A.; Zhang, T.; Ding, W. Quantifying the impacts of climate change and human activities on seasonal runoff in the Yongding River basin. Ecol. Indic. 2023, 154, 110839. [Google Scholar] [CrossRef]
- Petry, I.; Fan, F.M.; Siqueira, V.A.; Collishonn, W.; de Paiva, R.C.D.; Quedi, E.; de Araújo Gama, C.H.; Silveira, R.; Freitas, C.; Paranhos, C.S.A. Seasonal streamflow forecasting in South America’s largest rivers. J. Hydrol. Reg. Stud. 2023, 49, 101487. [Google Scholar] [CrossRef]
- Zhang, H.B.; Wang, W.; Song, Y.J.; Miao, L.G. Ecological index evaluation of arid inflow area based on the modified remote sensing ecological index: A case study of Tabu River Basin at the northern foot of the Yin Mountains. Acta Ecologica Sinica. 2024, 44, 1–21. (In Chinese) [Google Scholar]
- Zhang, X.J.; Long, Y.H.; Liao, Z.L. Temporal and spatial variation of water yield in the Tabu River Basin of the Northern Yinshan Mountain. Water Sav. Irrig. 2023, 10, 98–107. (In Chinese) [Google Scholar]
Target Level | Criterion Level | Index Level | Index Scale | Calculation Method |
---|---|---|---|---|
River health A | Hydrology B1 | Groundwater depth C11 | Basin | Collect monitoring data from existing groundwater monitoring wells in the watershed, use ArcGIS software 10.2, and use inverse distance weight interpolation to obtain groundwater level data in the watershed. Divide the data into zones and calculate the average groundwater level in the upper, middle, and lower reaches of the Tabu River basin |
Ecological flow satisfaction C12 | Basin | The percentage of minimum daily flow to annual daily flow during the corresponding period | ||
Habitat B2 | Vegetation coverage C21 | Basin | The proportion of vertical projection area of river vegetation to total area | |
River longitudinal connectivity C22 | Reach | C22 = N/L, N is the number of buildings or facilities that affect river connectivity, L is the total length of the river channel 100 (km) | ||
Riverbank stability C23 | Reach | Mainly considering the inclination angle, height, and degree of deformation of the riverbank | ||
Social Services B3 | Flood control compliance rate C31 | Reach | Collect remote sensing related data and conduct field investigations, C31 = M/L, M is the length of the river that meets flood control standards, L is the total length of the river channel (km) | |
Water resource development and utilization rate C32 | C32 = W1/W2 × 100%, W1 is the regional water consumption, W2 is the total amount of regional water resources |
Indexes | Scores | ||||
---|---|---|---|---|---|
100 | 80 | 60 | 30 | 0 | |
C11 Groundwater depth | ≤3 m | (3 m, 10 m] | (10 m, 20 m] | (20 m, 30 m] | ≥30 m |
C12 Ecological flow satisfaction | ≥30% | 20 | 10 | 5 | <5 |
C21 Vegetation coverage | >90% | (70%, 90%] | (40%, 70%] | (20%, 40%] | ≤20% |
C22 Vertical connectivity index | 0 | (0, 0.25] | (0.25, 0.5] | (0.5, 1] | >1 |
C23 Natural conditions of the coastline | No deformation or damage, no soil erosion phenomenon, awarded 100 points. If there are signs of loosening and soil erosion, but no deformation or damage, 60 points will be given. The loosening trend is obvious, which can cause deformation and damage to the riverbank, moderate soil erosion, and 30 points will be given. Severe soil erosion, significant damage and deformation, 0 point awarded | ||||
C31 Flood control compliance rate | >95% | (90%, 95%] | (85%, 90%] | (50%, 85%] | ≤50% |
C32 Water resource development and utilization rate | ≤10 | 20% | 30% | 40% | ≥60% |
Grades | Health Status | Scores |
---|---|---|
1 | Very healthy (ideal state) | >90 |
2 | Healthy (ideal state) | (75, 90] |
3 | Sub-healthy (not ideal state) | (60, 75] |
4 | Unhealthy (poor condition) | (40, 60] |
5 | Diseased | ≤40 |
Index Weight | C11 | C12 | C21 | C22 | C23 | C31 | C32 |
---|---|---|---|---|---|---|---|
Weight obtained by AHP | 0.2274 | 0.1763 | 0.1933 | 0.0987 | 0.0639 | 0.0972 | 0.1432 |
Weight obtained by entropy method | 0.2678 | 0.1053 | 0.2357 | 0.0911 | 0.1156 | 0.0678 | 0.1167 |
Comprehensive weight | 0.2476 | 0.1408 | 0.2145 | 0.0949 | 0.08975 | 0.0825 | 0.1299 |
Indexes | Value of Indexes | Scores | ||||
---|---|---|---|---|---|---|
Upstream | Midstream | Downstream | Upstream | Midstream | Downstream | |
C11 | 8.8 m | 10.2 m | 15.5 m | 63.12 | 59.04 | 51.21 |
C12 | 15.4% | 8.7% | 5.3% | 71.89 | 52.01 | 31.88 |
C21 | 75.2% | 71.1% | 68.9% | 65.10 | 61.98 | 59.03 |
C22 | 1 | 0 | 0 | 30 | 100 | 100 |
C23 | - | - | - | 60 | 60 | 60 |
C31 | 97.5% | 92.5% | 95.0% | 90 | 70 | 80 |
C32 | 35.1% | 42.3% | 51.0% | 46.04 | 28.14 | 14.11 |
Total | Sub-basins | 61.31 | 59.51 | 53.08 | ||
Tabu river | 57.97 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Qi, Q.; Wang, Z.; Yin, H.; Zhang, Z.; Wang, F. Construction and Application of a Seasonal River Health Evaluation System in Arid and Semi-Arid Areas. Water 2024, 16, 691. https://doi.org/10.3390/w16050691
Qi Q, Wang Z, Yin H, Zhang Z, Wang F. Construction and Application of a Seasonal River Health Evaluation System in Arid and Semi-Arid Areas. Water. 2024; 16(5):691. https://doi.org/10.3390/w16050691
Chicago/Turabian StyleQi, Qingqing, Zipeng Wang, Hang Yin, Zezhong Zhang, and Fei Wang. 2024. "Construction and Application of a Seasonal River Health Evaluation System in Arid and Semi-Arid Areas" Water 16, no. 5: 691. https://doi.org/10.3390/w16050691
APA StyleQi, Q., Wang, Z., Yin, H., Zhang, Z., & Wang, F. (2024). Construction and Application of a Seasonal River Health Evaluation System in Arid and Semi-Arid Areas. Water, 16(5), 691. https://doi.org/10.3390/w16050691