Published
The Influence of Eco-water Retrieved by Quantitative Remote Sensing on Runoff in Upper Minjiang River Basin
DOI:
https://doi.org/10.15446/esrj.v20n3.55177Keywords:
Eco-water, Remote Sensing Quantitative Retrieval, Upper Minjiang River Basin, Runoff, Agua ecológica, sondeo remoto cuantitativo, cuenca alta del río Minjiang, escorrentía. (en)Downloads
Remote sensing quantitative retrieval of ecological water (eco-water) has been foundational in systemic and quantitative research for water resources. Eco-water resource levels indicate conservation ability for the eco-water layer and influence of this on precipitation transformation and runoff regulation. The remote sensing quantitative inversion retrieved the MEC (Modulus of eco-water Conservation) of the Upper Minjiang River Basin study area in 1994 and 2001, and combined with climate data between 1990 and 2005, the influence of conservation water on the eco-water layer on runoff was then analyzed. Results revealed significant efficacy for flood control and water supply during the drought from the hydrologic cycle of ecowater. Thus protection and restoration of the eco-water layer for flood and drought prevention are crucial.
Influencia del agua ecológica en la escorrentía de la cuenca alta del río Minjiang medida a través de teledetección cuantitativa
Resumen
El sondeo remoto del agua ecológica (del inglés Eco-water, agua conservada en la superficie terrestre) es indispensable en la investigación sistemática y cuantitativa de las fuentes de agua. Los niveles de suministros de agua ecológica indican la capacidad de conservación de la capa de agua ecológica y la influencia de esta en la transformación de precipitación y la regulación de escorrentía. La inversión cuantitativa por sondeo remoto estableció el Módulo de Conservación de Agua Ecológica (MEC, del inglés Modulus of Eco-Water Conservation) para el área de estudio en la cuenca alta del río Minjiang entre 1994 y 2001, y combinada con la información climática de entre 1990 y 2005, se analizó la influencia de conservacion de agua en la capa ecoacuática. Los resultados mostraron una gran eficacia en el control de inundaciones y en el suministro de agua durante la sequía a lo largo del ciclo hidrológico. Por esta razón, la protección y restauración de la capa de agua ecológica para la prevención de inundaciones y sequía es necesaria.
References
Jian, J., Yang, W. N., Jiang, H., Wan, X. N., Li, Y. X., & Peng, L. (2012). A model for retrieving soil moisture saturation with Landsat remotely sensed data. International Journal of Remote Sensing, 33(14), 4553-4566. DOI: http://dx.doi.org/10.1080/01431161.2011.652313
Li, Y. X., Yang, W. N., Tong, L., Jian, J., & Gu, X. F. (2009). Remote Sensing Quantitative Monitoring and Analysis Fuel Moisture Content Based on Spectral Index. Acta Optica Sinica, 29(5), 1403-
DOI: 10.3788/AOS20092905.1403
Liu, X. D., Wu, Q. X., & Su, N. H. (1989). Studies on rainfall interception in canopy, litter and soil hydrological characteristics of forests in Liupanshan mountains. Scientia Silvae Sinicae, 25(3), 220-227.
Ogee, J., & Brunet, Y. (2002). A forest floor model for heat and moisture including a litter layer. Journal of Hydrology, 255(1), 212-233. DOI: http://dx.doi.org/10.1016/S0022-1694(01)00515-7
Qin, Q. M., You, L., Zhao, Y., Zhao, S. H., & Yao, Y. J. (2012). Soil line automatic identification algorithm based on two-dimensional feature space. Transactions of the CSAE, 28(3), 167-171.
Rao, L. Y., Zhu, J. Z., & Bi, H. X. (2005). Hydrological effects of forest litters and soil in the Simian Mountain of Chongqing City. Journal of Beijing Forestry University, 27(1), 33-37.
Sansom, A. L. (1999). Upland vegetation management: the impacts of overstocking. Water Science and Technology, 39(12), 85-92.
Wan, X. N., Yang, W. N., Wu, B F., Sun, W. D., & Huang, Q. (2004). Conception of Eco-water sphere and its application. Advance in Earth Sciences, 6(19), 117–121.
Wang, L. T., Wang, S. X., Zhou, Y., Liu, W. L., & Wang, F. (2011). Vegetation Water Content Retrieval and Application of Drought Monitoring Using Multi Spectral Remote Sensing. Spectroscopy
and Spectral Analysis, 31(10), 2804-2808.
Wu, Y., Su, Z. X., & Fang, J. Y. (2003). Study on Causes and Ecological Renewal of Arid and Warm Valley of Upper Minjiang River. Journal of China West Normal University (Natural Sciences),
(3), 276-281.
Yang, W. N., Yuan, P. X., & Wan, X. N. (2001). The study report: the ecological environment integrative survey and evaluation in the Minjiang upper river based on remote sensing. Chengdu: Chengdu University of Technology Archives, 863-308-21(6).
Yi, Q. X., Bao, A. M., Luo, Y., & Zhao, J. (2012). Measuring cotton water status using water-related vegetation indices at leaf and canopy levels. Journal of Arid Land, 4(3), 310-319.
Zhang, J. H., Xu, Y., Yao, F. M., Wang, P. J., Guo, W. J., Li, L. & Yang, L. M. (2010). Advances in estimation methods of vegetation water content based on optical remote sensing techniques. Science China Technological Sciences, 53(5), 1159-1167.
Zhang, R. H., Tian, J., Li, Z. L., Su, H. B., Chen, S. H., & Tang, X. Z. (2010). Principles and methods for the validation of quantitative remote sensing products. Science China (Earth Sciences), 53(5), 741-751
Zhan, Z. M., Qin, Q. M., Ghulan, A., & Wang, D. D. (2007). NIR-red spectral space based new method for soil moisture monitoring. Science in China (Series D: Earth Sciences), 50(02), 283-289.
How to Cite
APA
ACM
ACS
ABNT
Chicago
Harvard
IEEE
MLA
Turabian
Vancouver
Download Citation
CrossRef Cited-by
1. Yan Liu, Anton R. Chakhmouradian, Ekaterina P. Reguir, Zengqian Hou, Xu Zheng, Haobang Fu, Jian Sun. (2024). The Origin and Evolution of Rare Earth Element Mineralization in the Muluozhai Deposit (Sichuan, China): Insights from Mineralogical, Trace Element, and Sr-Nd-Pb-C-O-Ca Isotope Data. Economic Geology, 119(3), p.681. https://doi.org/10.5382/econgeo.5066.
2. Ramita Bajracharya, Takashi Nakamura, Subesh Ghimire, Bijay Man Shakya, Naresh Kazi Tamrakar. (2020). Identifying Groundwater and River Water Interconnections Using Hydrochemistry, Stable Isotopes, and Statistical Methods in Hanumante River, Kathmandu Valley, Central Nepal. Water, 12(6), p.1524. https://doi.org/10.3390/w12061524.
3. Wenxian Guo, Haotong Zhou, Xuyang Jiao, Lintong Huang, Hongxiang Wang. (2022). Analysis of Alterations of the Hydrological Situation and Causes of River Runoff in the Min River, China. Water, 14(7), p.1093. https://doi.org/10.3390/w14071093.
4. Chikh Younes Mahboubi, Abdelkader Ouali Mehadji, Nicolas Chevalier. (2021). Microfacies and stable isotope features of the Lower–Middle Jurassic carbonate rocks of Western Saharan Atlas (Aïn Ouarka area, Algeria). Geological Journal, 56(8), p.4201. https://doi.org/10.1002/gj.4149.
5. Hongxiang Wang, Wenping Wang, Jianwen Hu, Ye Sang, Wenxian Guo. (2023). Characterization of the evolution of runoff‐sediment relationship in Min River based on coupling coordination theory. River Research and Applications, 39(6), p.1067. https://doi.org/10.1002/rra.4143.
6. Muhammad Ali Imran, Jinlan Xu, Muhammad Sultan, Redmond R. Shamshiri, Naveed Ahmed, Qaiser Javed, Hafiz Muhammad Asfahan, Yasir Latif, Muhammad Usman, Riaz Ahmad. (2021). Free Discharge of Subsurface Drainage Effluent: An Alternate Design of the Surface Drain System in Pakistan. Sustainability, 13(7), p.4080. https://doi.org/10.3390/su13074080.
7. Wenxian Guo, Long Yu, Lintong Huang, Ning He, Wenxiong Chen, Fengtian Hong, Bing Wang, Hongxiang Wang. (2023). Ecohydrological response to multi-model land use change at watershed scale. Journal of Hydrology: Regional Studies, 49, p.101517. https://doi.org/10.1016/j.ejrh.2023.101517.
8. Wang Yuan, Qiang Liu, Shuai Song, Yonglong Lu, Shengjie Yang, Zili Fang, Zhen Shi. (2023). A climate-water quality assessment framework for quantifying the contributions of climate change and human activities to water quality variations. Journal of Environmental Management, 333, p.117441. https://doi.org/10.1016/j.jenvman.2023.117441.
9. Junjie Lei, Wunian Yang, Hong Li, Mingyan Wu, Jinxing She, Xiangshan Zhou, Bo Huang, Yuhang Zhang, Liang Liu, Xinrui Luo. (2019). Leaf equivalent water thickness assessment by means of spectral analysis and a new vegetation index. Journal of Applied Remote Sensing, 13(03), p.1. https://doi.org/10.1117/1.JRS.13.034517.
10. Bio Guidah Chabi, Abdoukarim Alassane, Kodjo Apelete Raoul Kpegli, Fabrice Messan Amene Lawson, Aoulatou Alassane Zakari, Bénito Didier Koukpohounsi, Ousmane Touré Boukari, Jean-Michel Vouillamoz, Nicaise Yalo, Daouda Mama, Moussa Boukari. (2023). Characterising groundwater and surface-water interconnections using hydrogeology, hydrochemistry and stable isotopes in the Ouémé Delta, southern Benin. Hydrogeology Journal, 31(5), p.1229. https://doi.org/10.1007/s10040-023-02645-2.
11. Xian Guan, Liang-Quan Ge, Guo-Qiang Zeng, Xiao-Qin Deng, Li-Peng Xu, Sheng-Liang Guo. (2020). Determination of gross α and β activities in Zouma River based on online HPGe gamma measurement system. Nuclear Science and Techniques, 31(12) https://doi.org/10.1007/s41365-020-00828-0.
Dimensions
PlumX
Article abstract page views
Downloads
License
Copyright (c) 2016 Earth Sciences Research Journal
![Creative Commons License](http://i.creativecommons.org/l/by/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution 4.0 International License.
Earth Sciences Research Journal holds a Creative Commons Attribution license.
You are free to:
Share — copy and redistribute the material in any medium or format
Adapt — remix, transform, and build upon the material for any purpose, even commercially.
The licensor cannot revoke these freedoms as long as you follow the license terms.