• Title/Summary/Keyword: Change in soil quality

Search Result 240, Processing Time 0.028 seconds

The Analysis of Future Land Use Change Impact on Hydrology and Water Quality Using SWAT Model (SWAT 모형을 이용한 미래 토지이용변화가 수문 - 수질에 미치는 영향 분석)

  • Park, Jong-Yoon;Lee, Mi Seon;Lee, Yong Jun;Kim, Seong Joon
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.28 no.2B
    • /
    • pp.187-197
    • /
    • 2008
  • This study is to assess the impact of future land use change on hydrology and water quality in Gyungan-cheon watershed ($255.44km^2$) using SWAT (Soil and Water Assessment Tool) model. Using the 5 past Landsat TM (1987, 1991, 1996, 2004) and $ETM^+$ (2001) satellite images, time series of land use map were prepared, and the future land uses (2030, 2060, 2090) were predicted using CA-Markov technique. The 4 years streamflow and water quality data (SS, T-N, T-P) and DEM (Digital Elevation Model), stream network, and soil information (1:25,000) were prepared. The model was calibrated for 2 years (1999 and 2000), and verified for 2 years (2001 and 2002) with averaged Nash and Sutcliffe model efficiency of 0.59 for streamflow and determination coefficient of 0.88, 0.72, 0.68 for Sediment, T-N (Total Nitrogen), T-P (Total Phosphorous) respectively. The 2030, 2060 and 2090 future prediction based on 2004 values showed that the total runoff increased 1.4%, 2.0% and 2.7% for 0.6, 0.8 and 1.1 increase of watershed averaged CN value. For the future Sediment, T-N and T-P based on 2004 values, 51.4%, 5.0% and 11.7% increase in 2030, 70.5%, 8.5% and 16.7% increase in 2060, and 74.9%, 10.9% and 19.9% increase in 2090.

A study on the impact on predicted soil moisture based on machine learning-based open-field environment variables (머신러닝 기반 노지 환경 변수에 따른 예측 토양 수분에 미치는 영향에 대한 연구)

  • Gwang Hoon Jung;Meong-Hun Lee
    • Smart Media Journal
    • /
    • v.12 no.10
    • /
    • pp.47-54
    • /
    • 2023
  • As understanding sudden climate change and agricultural productivity becomes increasingly important due to global warming, soil moisture prediction is emerging as a key topic in agriculture. Soil moisture has a significant impact on crop growth and health, and proper management and accurate prediction are key factors in improving agricultural productivity and resource management. For this reason, soil moisture prediction is receiving great attention in agricultural and environmental fields. In this paper, we collected and analyzed open field environmental data using a pilot field through random forest, a machine learning algorithm, obtained the correlation between data characteristics and soil moisture, and compared the actual and predicted values of soil moisture. As a result of the comparison, the prediction rate was about 92%. It was confirmed that the accuracy was . If soil moisture prediction is carried out by adding crop growth data variables through future research, key information such as crop growth speed and appropriate irrigation timing according to soil moisture can be accurately controlled to increase crop quality and improve productivity and water management efficiency. It is expected that this will have a positive impact on resource efficiency.

Rice Yield Response to Biochar Application Under Different Water Managements Practices

  • Jung, Won-Kyo
    • Korean Journal of Soil Science and Fertilizer
    • /
    • v.45 no.1
    • /
    • pp.16-19
    • /
    • 2012
  • Increasing rice grain yield is critical for feeding rapid increasing of Asian population. However, global warming effect may be negative for sustainable rice production. Therefore it is essential to develop technologies not only for increasing grain yield but also for reducing global warming effect. Biochar, which is carbonized biomass, has a great potential of carbon sequestration and soil quality improvement, which can contribute grain yield increasing. In this study, rice yield responses to biochar application on the rice cropping system were evaluated with field experiments under different water management practices at the research farm of the University of Missouri-Columbia Delta Research Center, Portageville, MO. Biochar (i.e., $4Mg\;ha^{-1}$) was produced using field scale pyrolyzer and incorporated into the field 4 months prior to planting. Rice was grown under three different water management practices. Result showed that no significant yield difference was found in the biochar application plots compared to rice hull and control plots from the 2 years field study at the very fertile soil. However, rainfed management results in severe reduction of yield. Research concludes that the biochar application does not significantly influence on rice yield increasing especially for very fertile soils.

Vertical and longitudinal variations in plant communities of drawdown zone of a monsoonal riverine reservoir in South Korea

  • Cho, Hyunsuk;Marrs, Rob H.;Alday, Josu G.;Cho, Kang-Hyun
    • Journal of Ecology and Environment
    • /
    • v.43 no.2
    • /
    • pp.271-281
    • /
    • 2019
  • Background: The plant communities within reservoir drawdown zones are ecologically important as they provide a range of ecosystem services such as stabilizing the shoreline, improving water quality, enhancing biodiversity, and mitigating climate change. The aim of the study was therefore to identify the major environmental factors affecting these plant communities within the drawdown zone of the Soyangho Reservoir in South Korea, which experiences a monsoonal climate, and thereafter to (1) elucidate the plant species responses and (2) compare the soil seedbank composition along main environmental gradients. Results: Two main environmental gradients affecting the plant community structure were identified within the drawdown zone; these were a vertical and longitudinal gradient. On the vertical dimension, a hydrological gradient of flood/exposure, the annual-dominated plant community near the water edge changed to a perennial-dominated community at the highest elevation. On the longitudinal dimension from the dam to the upstream, plant species composition changed from an upland forest-edge community to a lowland riverine community, and this was correlated with slope degree, soil particle size, and soil moisture content. Simultaneously, the composition of the soil seedbank was separated along the vertical gradient of the drawdown zone, with mainly annuals near the water edge and some perennials at higher elevations. The species composition similarity between the seedbank and extant vegetation was greater in the annual communities at low elevation than in the perennial communities at higher elevation. Conclusions: The structures of plant community and soil seedbank in the drawdown zone of a monsoonal riverine reservoir were changed first along the vertical and secondly along the longitudinal gradients. The soil seedbank could play an important role on the vegetation regeneration after the disturbances of flood/exposure in the drawdown zone. These results indicate that it is important to understand the vertical and longitudinal environmental gradients affecting shoreline plant community structure and the role of soil seedbanks on the rapid vegetation regeneration for conserving and restoring the drawdown zone of a monsoonal reservoir.

Behavior Changes of Earthworm from Soils Amended with Biochar - Avoidance and Productivity - (바이오차르 토양 투입에 따른 지렁이의 행동변화 연구 - 회피 및 생산성 변화 -)

  • Kim, You Jin;Yang, Seung Hoon;Kim, Seo Yeon;Yoon, Hong Seok;Yoo, Ga Young
    • Journal of Climate Change Research
    • /
    • v.5 no.4
    • /
    • pp.277-284
    • /
    • 2014
  • Biochar application to soil is widely known to have effects of climate change mitigation and soil quality improvement. However, effects of biochar on soil ecosystem are not always positive and some biochars are reported to contain toxic materials which might influence soil ecosystem. In this context, this study aims to investigate behavioral changes of earthworms(Eisenia fetida, Eisenia andrei) in response to different application rates of biochar to artificial soil. Treatment included two types of biochars made from rice husk (RH_Char) and wastewater sludge (SL_Char) with 1% and 10% application rates, respectively. Avoidance test revealed that earthworms did not avoid SL_Char treatments at 1% and 10%, while they rather moved to the RH_Char treatments probably due to higher labile carbon content(Hot water extractable carbon) of the RH_Char. The HWC content of RH_Char was 4 times higher than that of the SL_Char. Results of reproduction test showed that the survival rates, number of juveniles and number of cocoons were not influenced by biochar application except for the treatment of SL_Char at 10% rate. In the SL_Char 10% treatment, fatality was approximately 3.3 times as high as the control and the number of cocoons was 1.3 times higher in the same treatment than the control, indicating that earthworms were under environmental stress. The possible explanation for the stress condition was related to higher Cd, Ni, Cr, and As contents in the SL_Char. Overall results imply that biochar application at low rate might not change earthworms' behavior for the short term, while the reproduction behavior might be negatively influenced under the high application rate.

Applications of Data Science Technologies in the Field of Groundwater Science and Future Trends (데이터 사이언스 기술의 지하수 분야 응용 사례 분석 및 발전 방향)

  • Jina Jeong;Jae Min Lee;Subi Lee;Woojong Yang;Weon Shik Han
    • Journal of Soil and Groundwater Environment
    • /
    • v.28 no.spc
    • /
    • pp.18-39
    • /
    • 2023
  • Rapid development of geophysical exploration and hydrogeologic monitoring techniques has yielded remarkable increase of datasets related to groundwater systems. Increased number of datasets contribute to understanding of general aquifer characteristics such as groundwater yield and flow, but understanding of complex heterogenous aquifers system is still a challenging task. Recently, applications of data science technique have become popular in the fields of geophysical explorations and monitoring, and such attempts are also extended in the groundwater field. This work reviewed current status and advancement in utilization of data science in groundwater field. The application of data science techniques facilitates effective and realistic analyses of aquifer system, and allows accurate prediction of aquifer system change in response to extreme climate events. Due to such benefits, data science techniques have become an effective tool to establish more sustainable groundwater management systems. It is expected that the techniques will further strengthen the theoretical framework in groundwater management to cope with upcoming challenges and limitations.

Effect of Soldier Fly Casts Mixed Soil on Change of Soil Properties in Root Zone and Growth of Zoysiagrass (동애등에 분변토의 혼합 상토가 한국잔디의 생육 및 근권 토양에 미치는 영향)

  • Lee, Sang-Beom;Kim, Young-Sun;Ham, Suon-Kyu;Lim, Hye-Jung;Choi, Young-Cheol;Park, Kwan-Ho
    • Weed & Turfgrass Science
    • /
    • v.2 no.3
    • /
    • pp.298-305
    • /
    • 2013
  • Soldier fly casts produced by eco-friendly treatment of food waste with American soldier fly was composting cast mixed food waste compost and soldier fly pupa. This study was conducted to evaluate a possibility of soldier fly casts (SFC) as soil amendment by investigating soil properties and zoysiagrass growth. Amendments were selected coco peat, compost and SFC and their ratio mixed with sand were non-amendment (NA), 7% coco peat(Coco), 7% compost (Comp), 3.5% SFC (1/2SFC) and 7% SFC. In soil properties, SFC was increased CEC than NA and T-N, Av-$P_2O_5$ and exchangeable K in soil than Coco. Compared with Coco and Comp, turf quality such as turf color index and chlorophyll index in SFC was higher and root length of zoysiagrass longer. Growth of shoot, runner and root in SFC was increase than that of Coco and Comp. These results indicated that 7% SFC applied as soil amendment was improved growth and quality of zoysiagrass by prompting soil productivity and nutrient availability in soil and root growth.

Vulnerability AssessmentunderClimateChange and National Water Management Strategy

  • Koontanakulvong, Sucharit;Suthinon, Pongsak
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2016.05a
    • /
    • pp.204-204
    • /
    • 2016
  • Thailand had set the National Water Management Strategy which covered main six areas in the next 12 years, i.e., by priority: (1) water for household, (2) water for agricultural and industrial production, (3) water for flood and drought management, (4) water for quality issue, (5) water from forest conservation and soil erosion protection, (6) water resources management. However due to the climate change impact, there is a question for all strategies is whether to complete this mission under future climate change. If the impact affects our target, we have to clarify how to mitigate or to adapt with it. Vulnerability assessment was conducted under the framework of ADB's (with the parameters of exposure, sensitivity and adaptive capacity) and the assessments were classified into groups due to their different characteristic and the framework of the National Water Management Strategy, i.e., water supply (rural and urban), water for development (agriculture and others), water disasters (floods (flash, overflow), drought, water quality). The assessments identified the parameters concerned and weight factors used for each groups via expert group discussions and by using GIS mapping technology, the vulnerability maps were produced. The maps were verified with present water situation data (floods, drought, water quality). From the analysis result of this water resources management strategy, we found that 30% of all projects face the big impacts, 40% with low impact, and 30% for no impact. It is clear that water-related agencies have to carefully take care approximately 70% of future projects to meet water resources management strategy. It is recommended that additional issues should be addressed to mitigate the impact from climate risk on water resource management of the country, i.e., water resources management under new risk based on development scenarios, relationship with area-based problems, priority definition by viewpoints of risk, vulnerability (impact and occurrence probability in past and future), water management system in emergency case and water reserve system, use of information, knowledge and technology in management, network cooperation and exchange of experiences, knowledge, technique for sustainable development with mitigation and adaptation, education and communication systems in risk, new impact, and emergency-reserve system. These issues will be described and discussed.

  • PDF

Effect of Sulphur on the Yield and Some Quality of Chinese Cabbage (유황시용(硫黃施用)이 배추 품질(品質)과 수량(收量)에 미치는 영향(影響))

  • Lee, Suk-Hee;Kim, Change-Bae;Park, No-Kwuan;Park, Seon-Do;Choi, Boo-Sul
    • Korean Journal of Soil Science and Fertilizer
    • /
    • v.26 no.4
    • /
    • pp.253-258
    • /
    • 1993
  • This study reports the influence of application of sulphur on the yield and some quality by Chinese cabbage in field experiment. 1. By the application of sulphur fertilizer, the yields of Chinese cabbage were increased about 11~13 percent compared to control. 2. After harvest, the available sulphur amount in soil was increased, while the soil pH decreased. 3. The accumulation of nitrate in Chinese cabbage leaves was reduced by the sulphur application. 4. The amount of biochemical materials such as water-soluble pectin, phenolic compound, sugar, vitamin C in leaves were increased by sulphur application.

  • PDF

Estimation of the Pollutant Removal Efficiency in a Buffer Strip Using a SWAT Model

  • Lee, Eun-Jeong;Choi, Kyoung-Sik;Kim, Tae-Geun
    • Environmental Engineering Research
    • /
    • v.16 no.2
    • /
    • pp.61-67
    • /
    • 2011
  • The water quality from nonpoint source run off results from different land use types has been studied. The construction of a buffer strip is one method of nonpoint source pollutant control. The Soil and Water Assessment Tool (SWAT) model has been applied to estimate the pollutant removal through the buffer strip. When the non-business land has been changed into grass to form a buffer-strip, the change of land use effects the results of the model according to measures of the water quality. The data from a water level station within the watershed in the years 2006 and 2007 was used for calibration and validation of the model. Under the rainfall conditions in 2007, the removal rates of SS, BOD, TN, TP were 11.5%, 9.5%, 1.2%, and 4.5%, respectively. During the rainy days, the removal rates at the buffer strip were 92.3% of SS, 91.2% of BOD, 82.4% of TN, and 83.5% of TP. The pollutants from nonpoint sources were effectively removed by over 80% as they passed through the buffer strips. Rainfall resulted in soil erosion, which led to an increase in the SS concentration, therefore, the construction of buffer strips protected the streams from SS inflows. Since TN concentrations are affected by the inflows of ground water and the N concentration of the rainfall, the removal rate of TN was relatively lower than for the other pollutants.