Effects of climate and land use changes on runoff, sediment, nitrogen and phosphorus losses in the Haihe River Basin

Abstract

Investigating the impacts of climate and land use changes on the hydrological cycle and water environment at the basin scale is important for providing scientific evidence to manage the trade-offs and synergies among water resources, agricultural production and environmental protection. We used the Soil and Water Assessment Tool (SWAT) with various spatiotemporal data to quantify the contributions of climate and land use changes to runoff, sediment, nitrogen (N) and phosphorus (P) losses in the Haihe River Basin since the 1980s. The results showed that 1) climate and land use changes significantly increased evapotranspiration (ET), transport loss, sediment input and output, and organic N and P production, with ET, sediment input and organic N affected the most; 2) runoff, sediment and ammonia N were most affected by climate and land use changes in the Daqing River Basin (217.3 mm), Nanyun River Basin (3917.3 tons) and Chaobai River Basin (87.6 kg/ha), respectively; 3) the impacts of climate and land use changes showed explicit spatiotemporal patterns. In the Daqing, Yongding and Nanyun River Basins, the contribution of climate change to runoff and sediment kept increasing, reaching 88.6%–98.2% and 63%–77.2%, respectively. In the Ziya and Chaobai River Basins, the contribution of land use was larger, reaching 88.6%–92.8% and 59.8%–92.7%, respectively. In the Yongding, Chaobai, Ziya and Daqing River Basins, the contribution of land use to N and P losses showed an increasing trend over the past 40 years (maximum 89.7%). By contrast, in Nanyun and Luanhe River Basins, the contribution of climate change to N and P losses increased more (maximum 92.1%). Our evaluation of the impacts of climate and land use changes on runoff, sediment, and N and P losses will help to support the optimization of land and water resources in the Haihe River Basin.

Keywords

Haihe River Basin / water and soil resources / LUCC / non-point pollution / watershed management / N leaching

References

[1] Awan U K, Ismaeel A (2014). A new technique to map groundwater recharge in irrigated areas using a SWAT model under changing climate.J Hydrol, 519: 1368–1382

[2] Alvarenga L A, Mello C R, Colombo A, Cuartas L A, Bowling L C (2016). Assessment of land cover change on the hydrology of a Brazilian headwater watershed using the distributed hydrology-soil-vegetation model.Catena, 143: 7–17

[3] Choi W (2008). Catchment-scale hydrological response to climate-land-use combined scenarios: a case study for the Kishwaukee River Basin, Illinois.Phys Geogr, 29(1): 79–99

[4] Cuartas L A, Tomasella J, Nobre A D, Nobre C A, Hodnett M G, Waterloo M J, Oliveira S M, Randow R D, Trancoso R, Ferreira M (2012). Distributed hydrological modeling of a micro-scale rainforest watershed in Amazonia: model evaluation and advances in calibration using the new HAND terrain model.J Hydrol, 462: 15–27

[5] Chien H C, Yeh P J F, Knouft J H (2013). Modeling the potential impacts of climate change on streamflow in agricultural watersheds of the Midwestern United States.J Hydrol, 491: 73–88

[6] Chang J X, Wang Y M, Istanbulluoglu E, Bai T, Huang Q, Yang D W, Huang S Z (2015). Impacts of climate change and human activities on runoff in the Weihe River Basin, China.Quat Int, 380−381: 169–179

[7] Chawla I, Mujumdar P (2015). Isolating the impacts of land use and climate change on streamflow.Hydrol Earth Syst Sci, 19(8): 3633–3651

[8] Chang J X, Zhang H X, Wang Y M, Zhu Y L (2016). Assessing the impact of climate variability and human activities on streamflow variation.Hydrol Earth Syst Sci, 20(4): 1547–1560

[9] Du E, Link T E, Gravelle J A, Hubbart J A (2014). Validation and sensitivity test of the distributed hydrology soil-vegetation model (DHSVM) in a forested mountain watershed.Hydrol Processes, 28(26): 6196–6210

[10] Dey P, Mishra A (2017). Separating the impacts of climate change and human activities on streamflow: a review of methodologies and critical assumptions.J Hydrol, 548: 278–290

[11] Fu G B, Charles S P, Chiew F H S (2007). A two-parameter climate elasticity of streamflow index to assess climate change effects on annual streamflow.Water Resour Res, 43(11): W11419

[12] Feng P, Wang Z, Yang P (2003). Analysis on the drought character of Hai-River Basin.Water Res Hydro Eng, 34(3): 33–35

[13] Franczyk J, Chang H (2009). The effects of climate change and urbanization on the runoff of the Rock Creek basin in the Portland metropolitan area, Oregon, USA.Hydrol Processes, 23(6): 805–815

[14] Gao G, Fu B, Wang S, Liang W, Jiang X (2016). Determining the hydrological responses to climate variability and land use/cover change in the Loess Plateau with the Budyko framework.Sci Total Environ, 557−558: 331–342

[15] Guo H N, Shi Q, Marinoni A, Du B, Zhang L P (2021). Deep building footprint update network: a semi-supervised method for updating existing building footprint from bi-temporal remote sensing images.Remote Sens Environ, 264: 112589

[16] Hu X, Lu L, Li X, Wang J, Guo M (2015). Land use/cover change in the middle reaches of the Heihe River basin over 2000–2011 and its implications for sustainable water resource management.PLoS One, 10(6): e0128960

[17] He L Y, Ma N, Guo J (2017). The impact of the Northeast Cold Vortex on early summer precipitation anomalies in the Haihe River Basin.Chin J Geophys, 60(10): 3745–3752

[18] Huang C B, Huang X, Peng C H, Zhou Z, Teng M, Wang P (2019). Land use/cover change in the Three Gorges Reservoir area, China: reconciling the land use conflicts between development and protection.Catena, 175: 388–399

[19] He D, Shi Q, Liu X P, Zhong Y F, Zhang X C (2021). Deep subpixel mapping based on semantic information modulated network for urban land use mapping.Trans Geosci Remote Sens, 1–19

[20] Jian Z (2016). Improveed SEBS model for evaluation irrigation water use efficiency in the middle reaches of Heihe River.J Hydraul Eng (NYNY), 45(12): 1387–1394

[21] Jiang C, Wang F (2016). Temporal changes of streamflow and its causes in the Liao River Basin over the period of 1953–2011, northeastern China.Catena, 145: 227–238

[22] Jia B H, Wang Y Y, Xie Z H (2018). Responses of the terrestrial carbon cycle to drought over China: modeling sensitivities of the interactive nitrogen and dynamic vegetation.Ecol Modell, 368: 52–68

[23] Kim J, Choi J, Choi C, Park S (2013). Impacts of changes in climate and land use/land cover under IPCC RCP scenarios on streamflow in the Hoeya River Basin, Korea.Sci Total Environ, 452-453: 181–195

[24] Kueppers L M, Snyder M A (2012). Influence of irrigated agriculture on diurnal surface energy and water fluxes, surface climate, and atmospheric circulation in California.Clim Dyn, 38(5–6): 1017–1029

[25] Kundu S, Khare D, Mondal A (2017). Individual and combined impacts of future climate and land use changes on the water balance.Ecol Eng, 105: 42–57

[26] Luo K, Tao F, Moiwo J P, Xiao D (2016). Attribution of hydrological change in Heihe River Basin to climate and land use change in the past three decades.Sci Rep, 6(1): 33704

[27] Liu J Y, Zhang Q, Singh V P, Shi P J (2017). Contribution of multiple climatic variables and human activities to streamflow changes across China.J Hydrol, 545: 145–162

[28] Liu S J, Shi Q, Zhang L P (2021). Few-shot hyperspectral image classification with unknown classes using multitask deep learning.IEEE Trans Geosci Remote Sens, 59(6): 5085–5102

[29] Nash J E, Sutcliffe J V (1970). River flow forecasting through conceptual models, part I – a discussion of principles.J Hydrol, 10(3): 282–290

[30] Nian Y Y, Li X, Zhou J, Hu X L (2014). Impact of land use change on water resource allocation in the middle reaches of the Heihe River Basin in northwestern China.J Arid Land, 6(3): 273–286

[31] Piao S, Friedlingstein P, Ciais P, de Noblet-Ducoudré N, Labat D, Zaehle S (2007). Changes in climate and land use have a larger direct impact than rising CO₂ on global river runoff trends.Proc Natl Acad Sci USA, 104(39): 15242–15247

[32] Pechlivanidis I G, Arheimer B, Donnelly C, Shi P (2017). Analysis of hydrological extremes at different hydroclimatic regimes under present and future conditions.Clim Change, 141(3): 467–481

[33] Qi S, Sun G, Wang Y, McNulty S G, Myers J A M (2009). Streamflow response to climate and landuse changes in a coastal watershed in North Carolina.Trans ASABE, 52(3): 739–749

[34] Skaggs R W, Amatya D M, Chescheir G M, Blanton C D, Gilliam J M (2006). Effects of drainage and management practices on hydrology of pine plantation. Hydro Manage Forested Wetland: 3–14

[35] Scanlon B R, Jolly I, Sophocleous M, Zhang L (2007). Global impacts of conversion from natural to agricultural ecosystem on water resources: quantity versus quality.Water Resour Res, 43(3): 12–18

[36] Su T, Feng T C, Feng G L (2015). Evaporation variability under climate warming in five reanalyses and its association with pan evaporation over China.J Geophys Res Atmos, 120(16): 8080–8098

[37] Sorribas M V, Paiva R C D, Melack J M, Bravo J M, Jones C, Carvalho L, Beighley E, Forsberg B, Costa M H (2016). Projections of climate change effects on discharge and inundation in the Amazon basin.Clim Change, 136(3–4): 555–570

[38] Shen Q, Cong Z, Lei H (2017). Evaluating the impact of climate and underlying surface change on runoff within the Budyko framework: a study across 224 catchments in China.J Hydrol, 554: 251–262

[39] Sunde M G, He H S, Hubbart J A, Urban M A (2017). Integrating downscaled CMIP5 data with a physically-based hydrologic model to estimate potential climate change impacts on streamflow processes in a mixed-use watershed.Hydrol Processes, 31(9): 1790–1803

[40] Shi Q, Tang X P, Yang T R, Liu R, Zhang L P (2020). Hyperspectral image denoising using a 3-D attention denoising network. Transact Geosci Remot Sens: 1–16

[41] Shi Q, Liu M X, Li S C, Liu X P, Wang F, Zhang L P (2021). A deeply supervised attention metric-based network and an open aerial image dataset for remote sensing change detection. Transact Geosci Remot Sens: 1–16

[42] Thanapakpawin P, Richey J, Thomas D, Rodda S, Campbell B, Logsdon M (2007). Effects of land use change on the hydrologic regime of the Mae Chaem river basin, NW Thailand.J Hydrol, 334(1–2): 215–230

[43] Tu J (2009). Combined impact of climate and land use changes on streamflow and water quality in eastern Massachusetts, USA.J Hydrol, 379(3–4): 268–283

[44] Viola M R, Mello C R, Beskow S, Norton L D (2014). Impacts of land-use changes on the hydrology of the Granderiver basin headwaters, southeastern Brazil.Water Resour Manage, 28(13): 4537–4550

[45] Wang X M, Zhang C X, Hasi E, Dong Z B (2010). Has the Three Norths Forest Shelterbelt Program solved the desertification and dust storm problems in arid and semiarid China?.J Arid Environ, 74(1): 13–22

[46] Wang S P, Zhang Z Q, McVicar T R, Guo J T,Tang Y, Yao A K, (2013). Isolating the impacts of climate change and land use change on decadal streamflow variation: assessing three complementary approaches.J Hydrol, 507: 63–74

[47] Wu Y P, Cheng D S, Yan W D, Liu S G, Xiang W H, Chen J, Hu Y M, Wu Q (2014). Diagnosing climate change and hydrological responses in the past decades for a minimally-disturbed headwater basin in south China.Water Resour Manage, 28(12): 4385–4400

[48] Wang Y, Yang D, Lei H, Yang H (2015). Impact of cryosphere hydrological processes on the river runoff in the upper reaches of Heihe River.J Hydraul Eng (NYNY), 46(9): 1064–1071

[49] Wang G Q, Zhang J Y, Yang Q L (2016). Attribution of runoff change for the Xinshui River catchment on the Loess Plateau of China in a changing environment.Water, 8(6): 267

[50] Wang P, Yu J J, Pozdniakov S P, Grinevsky S O, Liu C (2014). Shallow groundwater dynamics and its driving forces in extremely arid areas: a case study of the lower Heihe River in northwestern China.Hydrol Processes, 28(3): 1539–1553

[51] Xu X L, Liu J Y, Zhang S W, Li R D, Yan C Z, Wu S X (2018). China Multi-period Land Use Land Cover Remote Sensing Monitoring Dataset. Data Registration and Publishing System of Resource and Environmental Science Data Center, Chinese Academy of Sciences

[52] Yan R, Gao J, Li L (2016). Modeling the hydrological effects of climate and land use/cover changes in Chinese lowland polder using an improved WALRUS model.Nord Hydrol, 47(S1): 84–101

[53] Yuan Y J, Zhang C, Zeng G M, Liang J, Guo S L, Huang L, Wu H P, Hua S S (2016). Quantitative assessment of the contribution of climate variability and human activity to streamflow alteration in Dongting Lake, China.Hydrol Processes, 30(12): 1929–1939

[54] Yin J, He F, Xiong Y J, Qiu G Y (2017). Effects of land use/land cover and climate changes on surface runoff in a semi-humid and semi-arid transition zone in northwest China.Hydrol Earth Syst Sci, 21(1): 183–196

[55] Yang L, Feng Q, Yin Z, Wen X, Si J, Li C, Deo R C (2017). Identifying separate impacts of climate and land use/cover change on hydrological processes in upper stream of Heihe River, Northwest China.Hydrol Processes, 31(5): 1100–1112

[56] Yang Y H, Ren D D, Yang Y M (2018). Evolution and driving mechanism of water resources in Haihe River Basin.Chin J Eco Agric, 26(10): 1443–1453

[57] Yang S, Kang T T, Bu J Y, Chen J H, Gao Y C (2019). Evaluating the impacts of climate change and vegetation restoration on the hydrological cycle over the Loess Plateau, China.Water, 11(11): 2241

[58] Zuo D P, Xu Z X, Sui C H, Wu W, Zhao F F (2013). Impact of climate change and human activity on streamflow in the Wei River Basin.J Beijing Normal U, 49(2–3): 115–123

[59] Zhao G J, Tian P, Mu X M, Jiao J Y, Wang F, Gao P (2014). Quantifying the impact of climate variability and human activities on streamflow in the middle reaches of the Yellow River basin, China.J Hydrol, 519: 387–398

[60] Zhang L, Nan Z, Yu W, Ge Y C (2015). Modeling land-use and land-cover change and hydrological responses under consistent climate change scenarios in the Heihe River Basin, China.Water Resour Manage, 29(13): 4701–4717

[61] Zhao Y, Zou X, Gao J, Xu X, Wang C, Tang D, Wang T, Wu X (2015). Quantifying the anthropogenic and climatic contributions to changes in water discharge and sediment load into the sea: a case study of the Yangtze River, China.Sci Total Environ, 536: 803–812

[62] Zhang L, Nan Z, Yu W, Ge Y (2016a). Hydrological responses to land-use change scenarios under constant and changed climatic conditions.Environ Manage, 57(2): 412–431

[63] Zhang A, Liu W, Yin Z C, Fu G, Zheng C (2016). How will climate change affect the water availability in the Heihe River Basin, Northwest China?.J Hydrometeorol, 17(5): 1517–1542

[64] Zhang H R, Zheng F L (2011). Effects of ground slope on soil erosion process of red soil slope under different rainfall intensities.J Soil Water Conserv, 25(3): 40–43

[65] Zhai R, Tao F (2017). Contributions of climate change and human activities to runoff change in seven typical catchments across China.Sci Total Environ, 605−606: 219–229

[66] Zhang Q, Liu J, Singh V P, Gu X H, Chen X H (2017). Evaluation of impacts of climate change and human activities on streamflow in the Poyang Lake basin, China.Hydrol Processes, 30(14): 2562–2576

[67] Zhou G, Wei X, Chen X, Zhou P, Liu X, Xiao Y, Sun G, Scott D F, Zhou S, Han L, Su Y (2015). Global pattern for the effect of climate and land cover on water yield.Nat Commun, 6: 5918

[68] Zheng Y T, Huang Y F, Zhou S, Wang KY, Wang G Q (2018). Effect partition of climate and catchment changes on runoff variation at the headwater region of the Yellow River based on the budyko complementary relationship.Sci Total Environ, 643: 1166–1177

[69] Zhai R, Tao F L (2021). Climate change in China affects runoff and terrestrial ecosystem water retention more than changes in leaf area index and land use/cover over the period 1982–2015. J Geophys Res: Biogeosci, 126: e2020JG005902

Acknowledgments

This study was supported by the National Key Research and Development Program of China (No. 2017YFA0604703).

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