scholarly journals Assessment of Future Water Yield and Water Purification Services in Data Scarce Region of Northwest China

Author(s):  
Xu Yang ◽  
Ruishan Chen ◽  
Guangxing Ji ◽  
Chao Wang ◽  
Yuanda Yang ◽  
...  

Water shortage and pollution have become prominent in the arid regions of northwest China, seriously affecting human survival and sustainable development. The Bosten Lake basin has been considered as an example of an arid region in northwest China, and the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model has been used to quantitatively evaluate the future water yield and water purification services for four representative concentration pathways (RCP) scenarios. The results show that for the four RCP scenarios, the annual average precipitation in 2020–2050 decreases compared to that in 1985–2015; the area of cultivated land and unused land decreases, and the area of other land-use types increases from 2015 to 2050. The water yield service reduces, while the water purification service increases from 2015 to 2050 in the Bosten Lake basin. In 2050, the water yield and water purification services are the best for the RCP6.0 scenario, and are the worse for the RCP4.5 scenario and RCP8.5 scenario, respectively. The distribution of the water yield and water purification services show a gradual decline from northwest to southeast.

2020 ◽  
Vol 20 (3) ◽  
pp. 1035-1045 ◽  
Author(s):  
Xu Yang ◽  
Ruishan Chen ◽  
Michael E. Meadows ◽  
Guangxing Ji ◽  
Jianhua Xu

Abstract The Bosten Lake basin is an important arid region of northwest China, and has exhibited a declining trend in both lake area and level of water during recent decades. Reliable information on water yield, an important attribute of available water resources in a region, is vital to assess the potential for socio-economic development. The Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model is applied here to simulate water yield in the Bosten Lake basin. The spatial and temporal dynamics of water yield, and the response of water yield to land use and precipitation change, are analysed for the period 1985 to 2015. The results show that, overall, water yield increased during 1985–2015, and that the magnitude of change was greater in the eastern part of the region. The water yield capacity, positively correlated with precipitation, is highest under grassland vegetation and lowest in cultivated and unused land. The paper demonstrates that statistical downscaling and climate reanalysis data can be used in the InVEST model to improve the accuracy of simulated water yield in data scarce regions.


PLoS ONE ◽  
2019 ◽  
Vol 14 (7) ◽  
pp. e0220299
Author(s):  
Xu Yang ◽  
Guangxing Ji ◽  
Chong Wang ◽  
Jingping Zuo ◽  
Haiqing Yang ◽  
...  

2021 ◽  
Vol 13 (7) ◽  
pp. 1375
Author(s):  
Liang-Jie Wang ◽  
Shuai Ma ◽  
Jiang Jiang ◽  
Yu-Guo Zhao ◽  
Jin-Chi Zhang

Understanding the spatiotemporal heterogeneity of ecosystem services (ESs) and their drivers in mountainous areas is important for sustainable ecosystem management. However, the effective construction of landscape heterogeneous units (LHUs) to reflect the spatial characteristics of ESs remains to be studied. The southern hill and mountain belt (SHMB) is a typical mountainous region in China, with undulating terrain and obvious spatial heterogeneity of ESs, and was selected as the study area. In this study, we used the fuzzy k-means (FKM) algorithm to establish LHUs. Three major ESs (water yield, net primary productivity (NPP), and soil conservation) in 2000 and 2015 were quantified using the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model and Carnegie Ames-Stanford approach (CASA) model. Then, we explored the spatial variation in ESs along terrain gradients and LHUs. Correlation analysis was used to analyze the driving factors of ESs in each terrain region and LHU. The results showed that altitude and terrain niche increased along LHUs. Water yield and soil conservation increased from 696.86 mm and 3920.19 t/km2 to 1061.12 mm and 5117.90 t/km2, respectively, while NPP decreased from 666.95 gC/m2 to 648.86 gC/m2. The ESs in different LHUs differed greatly. ESs increased first and then decreased along LHUs in 2000. In 2015, water yield decreased along LHUs, while NPP and soil conservation showed a fluctuating trend. Water yield was mainly affected by precipitation, temperature and NDVI were the main drivers of NPP, and soil conservation was greatly affected by precipitation and slope. The driving factors of the same ES were different in different terrain areas and LHUs. The variation and driving factors of ESs in LHUs were similar to some terrain gradients. To some extent, LHUs can represent multiple terrain features. This study can provide important support for mountain ecosystem zoning management and decision-making.


2020 ◽  
Vol 141 (1-2) ◽  
pp. 627-644 ◽  
Author(s):  
Haiqing Yang ◽  
Jianhua Xu ◽  
Yaning Chen ◽  
Dahui Li ◽  
Jingping Zuo ◽  
...  

2016 ◽  
Vol 48 (2) ◽  
pp. 542-558 ◽  
Author(s):  
Manish Kumar Goyal ◽  
Manas Khan

In this paper, Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) water yield model, based on the Budyko framework which is relatively simple and requires less data, has been applied in Sutlej River Basin, located in the eastern Himalayas and in Tungabhadra River Basin, located in peninsular India. The effect of extrapolation of the lumped Zhang model to distributed model (InVEST) has also been analyzed. We also determined the most suitable method for calculating reference evapotranspiration among three different methods, i.e., modified Hargreaves, normal Hargreaves and Hamon's equation. It was found that modified Hargreaves method is the most suitable one under limited data conditions although in certain stations in Tungabhadra River Basin, this method is not applicable. We also observed that the InVEST model performed well in the Sutlej River Basin although a certain proportion of the basin is snow covered. The results from the study also show that errors in climate inputs will have significant influence on water yield as compared to other parameters, i.e., seasonality constant (Z) and evapotranspiration coefficient (KC). In the case of the crop dominated Tungabhadra River Basin, both seasonality constant (Z) and evapotranspiration coefficient (KC) have comparatively greater sensitivity as compared to the Sutlej River Basin.


Water ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 867 ◽  
Author(s):  
Li-Chun Peng ◽  
Yu-Pin Lin ◽  
Guan-Wei Chen ◽  
Wan-Yu Lien

Hydrologic ecosystem services are greatly affected by the changing climate. In this study, the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model was used to quantify hydrologic ecosystem services. Five general circulation models (GCMs) and two representative concentration pathways (RCPs) were selected to estimate hydrologic ecosystem services. The Local Indicators of Spatial Association (LISA) index was used to identify hydrologic ecosystem hotspots. The hotspots were used to evaluate the impact of climate change on the services. Results indicate that annual water yields vary from −17% to 8%, with significant intra-year fluctuation. Compared to baseline data, the CESM1-CAM5 predicts an increase of 45% in June, but HadGEM2-AO predicts a drop to only 12% in January. Sediment export results show a similar trend to water yield, with sediment export increasing significantly under RCP 8.5, and monthly sediment export increases concentrated from June and October. Nitrogen and phosphorous exports both show less significant changes but obvious intra-year variations. The CESM1-CAM5 predicts strong seasonal and spatial variation of the hydrologic ecosystem services. Our proposed approach successfully identifies annual and monthly hotspot spatial changes of hydrologic ecosystem services under climate change.


2018 ◽  
Vol 22 (10) ◽  
pp. 5357-5371 ◽  
Author(s):  
Anoop Kumar Shukla ◽  
Shray Pathak ◽  
Lalit Pal ◽  
Chandra Shekhar Prasad Ojha ◽  
Ana Mijic ◽  
...  

Abstract. The upper Ganga Basin in Uttarakhand, India, has high hydropower potential and plays an important role in the development of the state economy. Thus, an accurate knowledge of annual water yield is of paramount importance to this region. This paper deals with use of contemporary water yield estimation models such as the distributed Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model and the Lumped Zhang model and their validation to identify the most suited one for water yield estimation in the upper Ganga Basin. In previous studies utilizing these models, water yield was estimated by considering a single value of some important model parameters for the entire basin, which in fact show distributed variation at a finer (pixel) scale. Therefore, in this study, pixel-level computations are performed to assess and ascertain the need for incorporating the spatial variation of such parameters in model applications. To validate the findings, the observed sub-basin discharge data are analyzed with the computed water yield for 4 decades, i.e., 1980, 1990, 2001 and 2015. The results obtained are in good agreement with the water yield obtained at the pixel scale.


2019 ◽  
Vol 125 ◽  
pp. 01015
Author(s):  
Yudistiro ◽  
Eko Kusratmoko ◽  
Jarot Mulyo Semedi

The mountainous region provides ecosystem services for the surrounding area and its lowland area. Patuha Mountain Region located in Ciwidey, Rancabali and Pasirjambu district of Bandung Regency. Fast population growth causing the need for water to increase drastically. The water yield from an ecosystem or watershed can be estimated using a hydrological model. This study aimed to estimate water yield, both the magnitude and their spatial distribution of the Patuha Mountain catchment areas. The water yield from the study area was calculated using the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) water yield model, which based on the water balance approach. The results indicated that the volume of water yield in Patuha Mountain for 2018 has a value between 21.429 to 31.857 m3/ha/year and approximately 1.202 million m3 per year. Spatially, sub-watersheds with a high volume of Water yield located in the southeast of Patuha Mountain, which is a mountainous area with an elevation of more than 1.500 m above sea level and rainfall average of 2.500 to 3300 mm per year. The water yield area also shows the same pattern with the distribution of the rainfall area.


2021 ◽  
Author(s):  
Yifan Wu ◽  
Yang Xu ◽  
Guodong Yin ◽  
Xuan Zhang ◽  
Chong Li ◽  
...  

Abstract Applying various models to assess hydrologic ecosystem services (HESs) management has the potential to encourage efficient water resources allocation. However, can a single model designed on these principles be practical to carry out hydrologic ecosystem services management for all purposes? We address this question by fully discussing the advantages of the variable infiltration capacity (VIC) model, the soil and water assessment tool (SWAT), and the integrated valuation of ecosystem services and tradeoffs (InVEST) model. The analysis is carried both qualitatively and quantitatively at the Yixunhe River basin, China, with a semi-arid climate. After integrating the advantages of each model, a collaborated framework and model selection method have been proposed and validated for optimizing the HESs management at the data sparse scenario. Our study also reveals that the VIC and SWAT model presents the better runoff reproducing ability of the hydrological cycle. Though the InVEST model has less accuracy in runoff simulation, the interannual change rate is similar to the other two models. Furthermore, the InVEST model (1.08 billion m3) has larger simulation result than the SWAT model (0.86 billion m3) for the water yield, while both models have close results for sediment losses assessment.


Water ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2564 ◽  
Author(s):  
Li Ma ◽  
Ruoxiu Sun ◽  
Ehsan Kazemi ◽  
Danbo Pang ◽  
Yi Zhang ◽  
...  

The Aeronautical Reconnaissance Coverage Geographic Information System (ArcGIS) 10.2 and Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model are used to comprehensively evaluate ecosystem services in the Dongting Lake Wetland, focusing on water yield, soil conservation, carbon storage, and snail control and schistosomiasis prevention. The spatial and temporal variations of these services, as well as their variations between different land use types in a period of 10 years from 2005 to 2015, are investigated, and the value of such services is then estimated and analyzed. The results of this study show various temporal and spatial trends in the ecosystem services, such as (1) the overall increase of all these services during the study period (although significant in some services, such as schistosomiasis patient reduction, by 86.8%; and, very slight in some others such as soil conservation, only by 0.02%); (2) different orders of the services values that are based on different land use types; and, (3) the temporal changes in the proportion of the values of different ecosystem services with respect to the total services value. Besides, it is concluded that the evaluation of ecosystem services of a certain wetland is heavily dependent on the characteristics of the area where the wetland is located, and the assessment indicators and methods should be selected based on such characteristics through the analysis of the results and a comparison with the findings of literature.


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