Novel hybrid coupling of ecohydrology and socioeconomy at river basin scale: A watershed system model for the Heihe River basin

Li, Xin; Zhang, Ling; Zheng, Yi; Yang, Dawen; Wu, Feng; Tian, Yong; Feng, Han‐Zhong; Gao, Bing; Li, Hongyi; Zhang, Yanlin; Ge, Yingchun; Cheng, Guodong; Fu, Bojie; Xia, Jun; Song, Changchun; Zheng, Chunmiao

doi:10.1016/j.envsoft.2021.105058

Cited by 41 publications

(36 citation statements)

References 82 publications

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“…(2) Development of a watershed system model We developed a watershed system model (see Figure 10) by coupling ecohydrological and socioeconomic systems [38]. The model is mainly composed of an integrated ecohydrological model developed by loosely coupling the geomorphology-based ecohydrological model with the hydrological-ecological integrated watershed-scale flow (HEI-FLOW) model [14,39,40], a socioeconomic model [41], and two interface models. The watershed system model proved to be reliable in simulating multiple eco-hydrological processes and showed good skills in closing the water balance at multiple spatial scales [38].…”

Section: Resultsmentioning

confidence: 99%

Multi-Source Hydrological Data Products to Monitor High Asian River Basins and Regional Water Security

Menenti

et al. 2021

Remote Sensing

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This project explored the integrated use of satellite, ground observations and hydrological distributed models to support water resources assessment and monitoring in High Mountain Asia (HMA). Hydrological data products were generated taking advantage of the synergies of European and Chinese data assets and space-borne observation systems. Energy-budget-based glacier mass balance and hydrological models driven by satellite observations were developed. These models can be applied to describe glacier-melt contribution to river flow. Satellite hydrological data products were used for forcing, calibration, validation and data assimilation in distributed river basin models. A pilot study was carried out on the Red River basin. Multiple hydrological data products were generated using the data collected by Chinese satellites. A new Evapo-Transpiration (ET) dataset from 2000 to 2018 was generated, including plant transpiration, soil evaporation, rainfall interception loss, snow/ice sublimation and open water evaporation. Higher resolution data were used to characterize glaciers and their response to environmental forcing. These studies focused on the Parlung Zangbo Basin, where glacier facies were mapped with GaoFeng (GF), Sentinal-2/Multi-Spectral Imager (S2/MSI) and Landsat8/Operational Land Imager (L8/OLI) data. The geodetic mass balance was estimated between 2000 and 2017 with Zi-Yuan (ZY)-3 Stereo Images and the SRTM DEM. Surface velocity was studied with Landsat5/Thematic Mapper (L5/TM), L8/OLI and S2/MSI data over the period 2013–2019. An updated method was developed to improve the retrieval of glacier albedo by correcting glacier reflectance for anisotropy, and a new dataset on glacier albedo was generated for the period 2001–2020. A detailed glacier energy and mass balance model was developed with the support of field experiments at the Parlung No. 4 Glacier and the 24 K Glacier, both in the Tibetan Plateau. Besides meteorological measurements, the field experiments included glaciological and hydrological measurements. The energy balance model was formulated in terms of enthalpy for easier treatment of water phase transitions. The model was applied to assess the spatial variability in glacier melt. In the Parlung No. 4 Glacier, the accumulated glacier melt was between 1.5 and 2.5 m w.e. in the accumulation zone and between 4.5 and 6.0 m w.e. in the ablation zone, reaching 6.5 m w.e. at the terminus. The seasonality in the glacier mass balance was observed by combining intensive field campaigns with continuous automatic observations. The linkage of the glacier and snowpack mass balance with water resources in a river basin was analyzed in the Chiese (Italy) and Heihe (China) basins by developing and applying integrated hydrological models using satellite retrievals in multiple ways. The model FEST-WEB was calibrated using retrievals of Land Surface Temperature (LST) to map soil hydrological properties. A watershed model was developed by coupling ecohydrological and socioeconomic systems. Integrated modeling is supported by an updated and parallelized data assimilation system. The latter exploits retrievals of brightness temperature (Advanced Microwave Scanning Radiometer, AMSR), LST (Moderate Resolution Imaging Spectroradiometer, MODIS), precipitation (Tropical Rainfall Measuring Mission (TRMM) and FengYun (FY)-2D) and in-situ measurements. In the case study on the Red River Basin, a new algorithm has been applied to disaggregate the SMOS (Soil Moisture and Ocean Salinity) soil moisture retrievals by making use of the correlation between evaporative fraction and soil moisture.

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Section: Resultsmentioning

confidence: 99%

Multi-Source Hydrological Data Products to Monitor High Asian River Basins and Regional Water Security

Menenti

et al. 2021

Remote Sensing

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“…HEIFLOW model is a physically based three‐dimensional hydrological model (Han et al., 2021; Li et al., 2021; Tian et al., 2018). HEIFLOW is primarily based on Coupled Ground‐Water and Surface‐Water Flow Model (GSFLOW), which is a distributed hydrological model that simulates integrated GW and SW flow processes across the land surface, in subsurface areas, and within streams and lakes (Markstrom et al., 2008).…”

Section: Methodsmentioning

confidence: 99%

“…Water scarcity and its associated societal, economic and environmental issues are common challenges in many arid and semiarid river basins around the world (Cheng et al., 2014; Elshafei et al., 2015; van Oel et al., 2010). To support the efficient management of limited surface water (SW) and/or groundwater (GW) resources, it is important to understand the interactions between human activities (e.g., farmers' irrigation water use) and hydrological processes in the context of particular water management policies, especially in heavily managed areas with intensive agriculture as the main consumer of freshwater (Arnold et al., 2015; Badham et al., 2019; Harou et al., 2009; Li et al., 2021; Sivapalan et al., 2012). However, in large river basins, hydrological and climate conditions typically exhibit significant spatial variations.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Distributed Policies for Conjunctive Surface Water‐Groundwater Management in Large River Basins: Water Uses Versus Hydrological Impacts

Tian

Cai

et al. 2022

Water Resources Research

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It is imperative to understand the interconnectedness of water use and hydrological impacts for water policy design underlying varying hydrological conditions across space and over time. However, such analysis remains difficult, constrained by the lack of appropriate modeling tools that fully integrate water policies, water use, and hydrological processes with high spatiotemporal resolutions. To address this challenge, this study proposes a distributed policy design scheme featuring spatially variable and temporally dynamic policies for conjunctive surface water‐groundwater management in large river basins. A fully integrated modeling framework is developed to tightly couple (a) an agent‐based model for farmers' water use under distributed water policies and (b) a physically based hydrological model for surface water‐groundwater processes. The modeling framework is applied to the Heihe River Basin to assess water use and hydrological impacts under distributed water policies. By using the distributed policy scheme to adjust a water policy (e.g., groundwater tax) across space and over time, we found that hydrological outcomes can be improved without adversely reducing agricultural water supply. For example, by shifting the implementation of a high groundwater tax from dry to wet years, a rise of the water table by 0.28 m (0.03–0.95 m across different irrigation districts) can be achieved while the total water supply is maintained at a similar level. Furthermore, hydrological externality effects among nearby districts can be explicitly identified and quantified based on assessments of spatially varying water policies. This study highlights the need for water policy design to consider spatiotemporal variations in the physical hydrological system.

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“…In 2013, the High-cold region Observation and Research Network for land surface processes and environment of China (HORN) was officially established to provide long-term and stable support to 17 comprehensive observation and research stations across the TP, and most TORP stations were included. Along with the ongoing advances in wireless technologies, several large-scale scientific experiments, such as the Global Energy and Water Cycle Experiment (GEWEX), Asian Monsoon Experiment on the Tibetan Plateau (GAME/Tibet, 1996–2000) [ 21 ], Coordinated Enhanced Observing Period (CEOP) Asia-Australia Monsoon Project on the Tibetan Plateau (CAMP/Tibet, 2001-06), Heihe Watershed Allied Telemetry Experimental Research (HiWATER) [ 22 ], and Third Tibetan Plateau Atmospheric Scientific Experiment (TIPEX-III) [ 23 , 24 ] have been conducted in recent decades and have significantly enhanced the Earth system observations and research on the Earth science system of the TP.…”

Section: Related Workmentioning

confidence: 99%

Satellite-Enabled Internet of Remote Things Network Transmits Field Data from the Most Remote Areas of the Tibetan Plateau

Chen

Zhang

et al. 2022

Sensors

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In this article, we employed a satellite-enabled Internet of Remote Things (IoRT) network as a promising solution to retrieve data in the most remote areas of interest, where public networks are absent. This article presents a system network based on the satellite-enabled IoRT, a new paradigm that defines a network where each environmental monitoring device can autonomously establish a network with a remote data center. The Xingyun satellite constellation was employed for data retrieval on the Tibetan Plateau (TP). The monitoring system was mainly composed of a ground Internet of Things (IoT) terminal that was built with satellite transceivers, environmental monitoring devices, and system software. We deployed five of these newly developed terminals in harsh areas to monitor environmental variables, and accordingly, air temperature and relative humidity, precipitation, snow depth, land surface temperature, tree stemflow rate, and photosynthetically active radiation were retrieved with the satellite-enabled IoRT network. Field experiments were conducted to evaluate the performance of the proposed system network, and the results indicated that the average time delay with and without the packet creation mode reached 32 and 32.7 s, respectively, and the average packet loss rate with and without the packet creation mode reached 5.63% and 4.48%, respectively. The successful implementation of the satellite-enabled IoRT network for the rapid retrieval of monitoring data in remote glacier, forestland, and canyon areas at very high altitudes on the TP provides an entirely new and revolutionary data retrieval means for backhauling data from remote areas of interest.

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Novel hybrid coupling of ecohydrology and socioeconomy at river basin scale: A watershed system model for the Heihe River basin

Cited by 41 publications

References 82 publications

Multi-Source Hydrological Data Products to Monitor High Asian River Basins and Regional Water Security

Multi-Source Hydrological Data Products to Monitor High Asian River Basins and Regional Water Security

Evaluating Distributed Policies for Conjunctive Surface Water‐Groundwater Management in Large River Basins: Water Uses Versus Hydrological Impacts

Satellite-Enabled Internet of Remote Things Network Transmits Field Data from the Most Remote Areas of the Tibetan Plateau

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