The Impacts of Climate Variation and Land Use Changes on Streamflow in the Yihe River, China

Climate variation and land use changes have been widely recognized as two major factors that impact hydrological processes. However, it is difficult to distinguish their contributions to changes in streamflow. Quantifying their contributions to alteration of streamflow is especially important for the sustainable management of water resources. In this study, the changes in streamflow for the period of 1960–2008 at two stations (Dongwan and Luhun) were analyzed in the Yihe watershed in China based on hydrological data series and climate parameters. Using a non-parametric Mann–Kendall (MK) and Pettitt’s test, as well as Budyko analysis, we first examined the trends of hydroclimatic variables and the breakpoint of annual streamflow over the past 50 years. Subsequently, we evaluated the contributions of annual precipitation (P), potential evapotranspiration (PET), and land use condition (represented by w), respectively, to streamflow variation. We observed a decreasing trend for P, as well as increasing trends for PET and w. Annual streamflow showed a significant downward trend with an abrupt change occurring in 1985 during the period of 1960–2008. Accordingly, we divided the studied period into two sub-periods: period I (1960–1985) and period II (1986–2008). The sensitivity of the streamflow to the different environmental factors concerned in this study differed. Streamflow was more sensitive to P than to PET and w. The decrease in P was the greatest contributor to the decline in streamflow, which accounted for 50.01% for Dongwan and 55.36% for Luhun, followed by PET, which accounted for 24.25% for Dongwan and 24.45% for Luhun, and land use change was responsible for 25.25% for Dongwan and 20.19% for Luhun. Although land use change plays a smaller role in streamflow reduction, land use optimization and adjustment still have great significance for future water resource management, since climate variation is difficult to control; however, the pattern optimization of land use can be achieved subjectively.

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Assessing the Hydroclimatic Movement under Future Scenarios Including both Climate and Land Use Changes

Water ◽

10.3390/w13081120 ◽

2021 ◽

Vol 13 (8) ◽

pp. 1120

Author(s):

Sinae Kim ◽

Hakkwan Kim ◽

Kyeung Kim ◽

Sang-Min Jun ◽

Soonho Hwang ◽

...

Keyword(s):

Land Use ◽

Land Use Change ◽

Water Resource Management ◽

Global Climate Model ◽

Land Use Changes ◽

Aridity Index ◽

Future Climate ◽

Future Climate Change ◽

Climate Change Scenarios ◽

Future Scenarios

In this study we simulated the watershed response according to future climate and land use change scenarios through a hydrological model and predicting future hydroclimate changes by applying the Budyko framework. Future climate change scenarios were derived from the UK Earth system model (UKESM1), and future land use changes were predicted using the future land use simulation (FLUS) model. To understand the overall trend of hydroclimatic conditions, the movements in Budyko space were represented as wind rose plots. Moreover, the impacts of climate and land use changes were separated, and the watersheds’ hydroclimatic conditions were classified into five groups. In future scenarios, both increase and decrease of aridity index were observed depending on the watershed, and land use change generally led to a decrease in the evaporation index. The results indicate that as hydroclimatic movement groups are more diversely distributed by region in future periods, regional adaptation strategies could be required to reduce hydroclimatic changes in each region. The results derived from this study can be used as basic data to establish an appropriate water resource management plan and the governments’ land use plan. As an extension of this study, we can consider more diverse land use characteristics and other global climate model (GCMs) in future papers.

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Analisis Perubahan Tata Guna Lahan di Kabupaten Bantul Menggunakan Metode Global Moran’s I

Jurnal Buana Informatika ◽

10.24002/jbi.v8i4.1446 ◽

2017 ◽

Vol 8 (4) ◽

Cited By ~ 1

Author(s):

Matheus Supriyanto Rumetna ◽

Eko Sediyono ◽

Kristoko Dwi Hartomo

Keyword(s):

Land Use ◽

Land Use Change ◽

Spatial Autocorrelation ◽

Land Use Changes ◽

Geographical Information ◽

Moran’S I ◽

Complete Spatial Randomness ◽

Moran's I ◽

Global Moran’S I ◽

Spatial Randomness

Abstract. Bantul Regency is a part of Yogyakarta Special Province Province which experienced land use changes. This research aims to assess the changes of shape and level of land use, to analyze the pattern of land use changes, and to find the appropriateness of RTRW land use in Bantul District in 2011-2015. Analytical methods are employed including Geoprocessing techniques and analysis of patterns of distribution of land use changes with Spatial Autocorrelation (Global Moran's I). The results of this study of land use in 2011, there are thirty one classifications, while in 2015 there are thirty four classifications. The pattern of distribution of land use change shows that land use change in 2011-2015 has a Complete Spatial Randomness pattern. Land use suitability with the direction of area function at RTRW is 24030,406 Ha (46,995406%) and incompatibility of 27103,115 Ha or equal to 53,004593% of the total area of Bantul Regency.Keywords: Geographical Information System, Land Use, Geoprocessing, Global Moran's I, Bantul Regency. Abstrak. Analisis Perubahan Tata Guna Lahan di Kabupaten Bantul Menggunakan Metode Global Moran’s I. Kabupaten Bantul merupakan bagian dari Provinsi Daerah Istimewa Yogyakarta yang mengalami perubahan tata guna lahan. Penelitian ini bertujuan untuk mengkaji perubahan bentuk dan luas penggunaan lahan, menganalisis pola sebaran perubahan tata guna lahan, serta kesesuaian tata guna lahan terhadap RTRW yang terjadi di Kabupaten Bantul pada tahun 2011-2015. Metode analisis yang digunakan antara lain teknik Geoprocessing serta analisis pola sebaran perubahan tata guna lahan dengan Spatial Autocorrelation (Global Moran’s I). Hasil dari penelitian ini adalah penggunaan tanah pada tahun 2011, terdapat tiga puluh satu klasifikasi, sedangkan pada tahun 2015 terdapat tiga puluh empat klasifikasi. Pola sebaran perubahan tata guna lahan menunjukkan bahwa perubahan tata guna lahan tahun 2011-2015 memiliki pola Complete Spatial Randomness. Kesesuaian tata guna lahan dengan arahan fungsi kawasan pada RTRW adalah seluas 24030,406 Ha atau mencapai 46,995406 % dan ketidaksesuaian seluas 27103,115 Ha atau sebesar 53,004593 % dari total luas wilayah Kabupaten Bantul. Kata Kunci: Sistem Informasi Georafis, tata guna lahan, Geoprocessing, Global Moran’s I, Kabupaten Bantul.

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Land-Use Change Impacts from Sustainable Hydropower Production in EU28 Region: An Empirical Analysis

Sustainability ◽

10.3390/su13094599 ◽

2021 ◽

Vol 13 (9) ◽

pp. 4599

Author(s):

Mohd Alsaleh ◽

Muhammad Mansur Abdulwakil ◽

Abdul Samad Abdul-Rahim

Keyword(s):

Carbon Dioxide ◽

Land Use ◽

European Union ◽

Land Use Change ◽

Carbon Dioxide Emissions ◽

Energy Production ◽

Land Use Changes ◽

Ordinary Least Squares ◽

The European Union ◽

Hydropower Production

Under the current European Union (EU) constitution approved in May 2018, EU countries ought to guarantee that estimated greenhouse-gas releases from land use, land-use change, or forestry are entirely compensated by an equivalent accounted removal of carbon dioxide (CO2) from the air during the period between 2021 and 2030. This study investigates the effect of sustainable hydropower production on land-use change in the European Union (EU28) region countries during 1990–2018, using the fully modified ordinary least squares (FMOLS). The results revealed that land-use change incline with an increase in hydropower energy production. In addition, economic growth, carbon dioxide emissions, and population density are found to be increasing land-use changes, while institutional quality is found to be decreasing land-use change significantly. The finding implies that land-use change in EU28 region countries can be significantly increased by mounting the amount of hydropower energy production to achieve Energy Union aims by 2030. This will finally be spread to combat climate change and environmental pollution. The findings are considered robust as they were checked with DOLS and pooled OLS. The research suggests that the EU28 countries pay attention to the share of hydropower in their renewable energy combination to minimize carbon releases. Politicians and investors in the EU28 region ought to invest further in the efficiency and sustainability of hydropower generation to increase its production and accessibility without further degradation of forest and agricultural conditions. The authorities of the EU28 region should emphasize on efficiency and sustainability of hydropower energy with land-use management to achieve the international commitments for climate, biodiversity, and sustainable development, reduce dependence on fossil fuel, and energy insecurity.

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Land Use Dynamics and Optimization from 2000 to 2020 in East Guangdong Province, China

Sustainability ◽

10.3390/su13063473 ◽

2021 ◽

Vol 13 (6) ◽

pp. 3473

Author(s):

Yong Lai ◽

Guangqing Huang ◽

Shengzhong Chen ◽

Shaotao Lin ◽

Wenjun Lin ◽

...

Keyword(s):

Land Use ◽

Land Use Change ◽

Landscape Connectivity ◽

Land Use Changes ◽

Research Result ◽

Global Environmental Change ◽

Ecological Processes ◽

Buffer Zones ◽

Conflict Zones ◽

Land Use Dynamics

Anthropogenic land-use change is one of the main drivers of global environmental change. China has been on a fast track of land-use change since the Reform and Opening-up policy in 1978. In view of the situation, this study aims to optimize land use and provide a way to effectively coordinate the development and ecological protection in China. We took East Guangdong (EGD), an underdeveloped but populous region, as a case study. We used land-use changes indexes to demonstrate the land-use dynamics in EGD from 2000 to 2020, then identified the hot spots for fast-growing areas of built-up land and simulated land use in 2030 using the future land-use simulation (FLUS) model. The results indicated that the cropland and the built-up land changed in a large proportion during the study period. Then we established the ecological security pattern (ESP) according to the minimal cumulative resistance model (MCRM) based on the natural and socioeconomic factors. Corridors, buffer zones, and the key nodes were extracted by the MCRM to maintain landscape connectivity and key ecological processes of the study area. Moreover, the study showed the way to identify the conflict zones between future built-up land expansion with the corridors and buffer zones, which will be critical areas of consideration for future land-use management. Finally, some relevant policy recommendations are proposed based on the research result.

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Impact of Land Use Change on the Local Climate over the Tibetan Plateau

Advances in Meteorology ◽

10.1155/2010/837480 ◽

2010 ◽

Vol 2010 ◽

pp. 1-6 ◽

Cited By ~ 11

Author(s):

Jiming Jin ◽

Shihua Lu ◽

Suosuo Li ◽

Norman L. Miller

Keyword(s):

Land Use ◽

Tibetan Plateau ◽

Land Use Change ◽

Lower Surface ◽

Warming Trend ◽

The Tibetan Plateau ◽

Area Index ◽

Local Climate ◽

Significant Downward Trend ◽

Three Rivers

Observational data show that the remotely sensed leaf area index (LAI) has a significant downward trend over the east Tibetan Plateau (TP), while a warming trend is found in the same area. Further analysis indicates that this warming trend mainly results from the nighttime warming. The Single-Column Atmosphere Model (SCAM) version 3.1 developed by the National Center for Atmospheric Research is used to investigate the role of land use change in the TP local climate system and isolate the contribution of land use change to the warming. Two sets of SCAM simulations were performed at the Xinghai station that is located near the center of the TP Sanjiang (three rivers) Nature Reserve where the downward LAI trend is largest. These simulations were forced with the high and low LAIs. The modeling results indicate that, when the LAI changes from high to low, the daytime temperature has a slight decrease, while the nighttime temperature increases significantly, which is consistent with the observations. The modeling results further show that the lower surface roughness length plays a significant role in affecting the nighttime temperature increase.

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Climate and land use change impacts on water resources in Sardinia (Italy)

10.5194/egusphere-egu21-10894 ◽

2021 ◽

Author(s):

Dario Ruggiu ◽

Salvatore Urru ◽

Roberto Deidda ◽

Francesco Viola

Keyword(s):

Land Use ◽

Water Resources ◽

Land Use Change ◽

Hydrological Cycle ◽

Potential Evapotranspiration ◽

Regional Scale ◽

Annual Runoff ◽

Annual Rainfall ◽

Land Use Scenarios ◽

Near Future

The assessment of climate change and land use modifications effects on hydrological cycle is challenging. We propose an approach based on Budyko theory to investigate the relative importance of natural and anthropogenic drivers on water resources availability. As an example of application, the proposed approach is implemented in the island of Sardinia (Italy), which is affected by important processes of both climate and land use modifications. In details, the proposed methodology assumes the Fu&#8217;s equation to describe the mechanisms of water partitioning at regional scale and uses the probability distributions of annual runoff (Q) in a closed form. The latter is parametrized by considering simple long-term climatic info (namely first orders statistics of annual rainfall and potential evapotranspiration) and land use properties of basins.In order to investigate the possible near future water availability of Sardinia, several climate and land use scenarios have been considered, referring to 2006-2050 and 2051-2100 periods. Climate scenarios have been generated considering fourteen bias corrected outputs of climatic models from EUROCORDEX&#8217;s project (RCP 8.5), while three land use scenarios have been created following the last century tendencies.Results show that the distribution of annual runoff in Sardinia could be significantly affected by both climate and land use change. The near future distribution of Q generally displayed a decrease in mean and variance compared to the baseline. &#160;&#160;The reduction of&#160; Q is more critical moving from 2006-2050 to 2051-2100 period, according with climatic trends, namely due to the reduction of annual rainfall and the increase of potential evapotranspiration. The effect of LU change on Q distribution is weaker than the climatic one, but not negligible.

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The Integrated Economic-Environmental Modeling (IEEM) Platform: IEEM Platform Technical Guides: User Guide for the IEEM-enhanced Land Use Land Cover Change Model Dyna-CLUE

10.18235/0003625 ◽

2021 ◽

Author(s):

Peter H. Verburg ◽

Žiga Malek ◽

Sean P. Goodwin ◽

Cecilia Zagaria

Keyword(s):

Land Use ◽

Ecosystem Services ◽

Land Use Change ◽

Land Use Changes ◽

Environmental Modeling ◽

Modeling Framework ◽

Regional Modelling ◽

Model Application ◽

Climatic Regions ◽

Single Region

The Conversion of Land Use and its Effects modeling framework (CLUE) was developed to simulate land use change using empirically quantified relations between land use and its driving factors in combination with dynamic modeling of competition between land use types. Being one of the most widely used spatial land use models, CLUE has been applied all over the world on different scales. In this document, we demonstrate how the model can be used to develop a multi-regional application. This means, that instead of developing numerous individual models, the user only prepares one CLUE model application, which then allocates land use change across different regions. This facilitates integration with the Integrated Economic-Environmental Modeling (IEEM) Platform for subnational assessments and increases the efficiency of the IEEM and Ecosystem Services Modeling (IEEMESM) workflow. Multi-regional modelling is particularly useful in larger and diverse countries, where we can expect different spatial distributions in land use changes in different regions: regions of different levels of achieved socio-economic development, regions with different topographies (flat vs. mountainous), or different climatic regions (dry vs humid) within a same country. Accounting for such regional differences also facilitates developing ecosystem services models that consider region specific biophysical characteristics. This manual, and the data that is provided with it, demonstrates multi-regional land use change modeling using the country of Colombia as an example. The user will learn how to prepare the data for the model application, and how the multi-regional run differs from a single-region simulation.

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Strong increases in flood frequency and discharge of the River Meuse over the late Holocene: impacts of long-term anthropogenic land use change and climate variability

Hydrology and Earth System Sciences ◽

10.5194/hess-12-159-2008 ◽

2008 ◽

Vol 12 (1) ◽

pp. 159-175 ◽

Cited By ~ 63

Author(s):

P. J. Ward ◽

H. Renssen ◽

J. C. J. H. Aerts ◽

R. T. van Balen ◽

J. Vandenberghe

Keyword(s):

Land Use ◽

Land Use Change ◽

Climate Model ◽

Land Use Changes ◽

Winter Precipitation ◽

Flood Frequency ◽

High Flow ◽

Recurrence Time ◽

Strong Increase ◽

Historical Sources

Abstract. In recent years the frequency of high-flow events on the Meuse (northwest Europe) has been relatively great, and flooding has become a major research theme. To date, research has focused on observed discharge records of the last century and simulations of the coming century. However, it is difficult to delineate changes caused by human activities (land use change and greenhouse gas emissions) and natural fluctuations on these timescales. To address this problem we coupled a climate model (ECBilt-CLIO-VECODE) and a hydrological model (STREAM) to simulate daily Meuse discharge in two time-slices: 4000–3000 BP (natural situation), and 1000–2000 AD (includes anthropogenic influence). For 4000–3000 BP the basin is assumed to be almost fully forested; for 1000–2000 AD we reconstructed land use based on historical sources. For 1000–2000 AD the simulated mean annual discharge (260.9 m3 s−1) is significantly higher than for 4000–3000 BP (244.8 m3 s−1), and the frequency of large high-flow events (discharge >3000 m3 s−1) is higher (recurrence time decreases from 77 to 65 years). On a millennial timescale almost all of this increase can be ascribed to land use changes (especially deforestation); the effects of climatic change are insignificant. For the 20th Century, the simulated mean discharge (270.0 m3 s−1) is higher than in any other century studied, and is ca. 2.5% higher than in the 19th Century (despite an increase in evapotranspiration). Furthermore, the recurrence time of large high-flow events is almost twice as short as under natural conditions (recurrence time decreases from 77 to 40 years). On this timescale climate change (strong increase in annual and winter precipitation) overwhelmed land use change as the dominant forcing mechanism.

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DOMINANT FACTORS CHANGE OF LAND FUNCTION IN RAPUAN ROAD CORRIDOR UBUD BALI DUE TO TOURISM ACTIVITIES

ASTONJADRO ◽

10.32832/astonjadro.v11i1.5814 ◽

2021 ◽

Vol 11 (1) ◽

pp. 118

Author(s):

Ni Nyoman Samitri Putri ◽

Ngakan Ketut Acwin Dwijendra

Keyword(s):

Land Use ◽

Land Use Change ◽

Descriptive Analysis ◽

Land Use Changes ◽

Secondary Data ◽

Rice Fields ◽

Internal Factors ◽

Tourist Destinations ◽

Tourist Accommodation ◽

Collection Methods

Bali is the most popular tourist destination with Ubud one of the tourist destinations with its beautiful landscapes and rice fields. Mas Village, Ubud is one of the tourist villages that has been inaugurated by the Gianyar Regency Government based on the Decree of the Gianyar Regent Number 429/E-02/HK/2017 regarding the establishment of a Tourism Village. Jalan Rapuan which is located in Tarukan Tourism Village, Mas is one of the strategic corridors in Mas Tourism Village because it is a stretch of rice fields that has a high tourism selling value. The purpose of this study is to identify changes in land use in 2013-2021 due to tourism activities seen from the aspects that have a dominant influence on land use changes. Quantitative method is the method used with primary and secondary data collection methods and stages of analysis in the form of descriptive analysis of tourism activities in Mas Village, statistical-descriptive analysis of land use change with overlay analysis on the Jalan Rapuan corridor. The results showed that there was a change in land use along the Rapuan corridor in 2013-2021 by 14% of the non-built land to be built in the form of tourist accommodation and housing. The indicators analyzed by factor analysis were able to explain important factors, namely external factors of 31.69%, internal factors of 23.821% and regulatory factors of 17.218% with a total of factors able to explain land use change of 72.73%.

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The effect of land-use change on river watershed quality (case study: Cimahi Watershed, West Java, Indonesia)

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/933/1/012010 ◽

2021 ◽

Vol 933 (1) ◽

pp. 012010

Author(s):

S A Nurhayati ◽

M Marselina ◽

A Sabar

Keyword(s):

Water Quality ◽

Land Use ◽

Land Use Change ◽

Pearson Correlation ◽

Land Use Changes ◽

Quality Parameters ◽

Water Quality Parameters ◽

Watershed Area ◽

Watershed Land Use ◽

Main River

Abstract Increasing population growth is one of the impacts of the growth of a city or district in an area. This also happened in the Cimahi watershed area. As the population grows, so does the need for land which increases the land-use change in the Cimahi watershed. Land-use changes will affect the surrounding environment and one of them is the river, especially river water quality. As a watershed area, there is one main river that is the source of life as well as the Cimahi watershed, whose main river is the Cimahi River. The purpose of this study was calculated the relationship between land-use change in the Cimahi watershed and the water quality parameters of the Cimahi River. The correlation between the two was calculated using Pearson correlation. Water quality parameters can be seen based on BOD and DO values. BOD and DO values are the opposite because good water quality has high DO values and low BOD values. The correlation between land-use change and BOD was 0.328 is in the area of settlements area. In contrast, to DO values, an increase in settlements/industrial zones will further reduce DO values so that both have a negative correlation, which is indicated by a value of -0,535. The correlation between settlements with pH and temperature values is 0.664 and 0.812. While the correlation between settlements with TSS and TDS values are 0.333 and 0.529, respectively. In this study, it can be seen that there is a relationship between the decline in water quality and changes in land use.

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