Study on the runoff and sediment-producing effects of precipitation in headwater areas of the Yangtze River and Yellow River,China

Natural runoff observation fields with different vegetation coverage were established in the Zuomaoxikongqu River basin in the headwater area of the Yangtze River, and in the Natong River basin and the Kuarewaerma River basin in the headwater area of the Yellow River, China. The experiments were conducted using natural precipitation and artificially simulated precipitation between July and August to study the runoff and sediment-producing effects of precipitation under the conditions of the same slope and different alpine meadow land with coverage in the headwater areas. The results show that, in the three small river basins in the headwater areas of the Yangtze and the Yellow Rivers, the surface runoff yield on the 30° slope surface of the alpine meadow land with a vegetation cover of 30% is markedly larger than that of the fields with a vegetation cover of 95, 92, and 68%. Furthermore, the sediment yield is also obviously larger than the latter three; on an average, the sediment yield caused by a single precipitation event is 2–4 times as large as the latter three. Several typical precipitation forms affecting the runoff yield on the slope surface also influence the process. No matter how the surface conditions are; the rainfall is still the main precipitation form causing soil erosion. In some forms of precipitation, such as the greatest snow melting as water runoff, the sediment yield is minimal. Under the condition of the same precipitation amount, snowfall can obviously increase the runoff yield, roughly 2.1–3.5 times as compared to the combined runoff yield of the Sleet or that of rainfall alone; but meanwhile, the sediment yield and soil erosion rate decrease, roughly decreasing by 45.4–80.3%. High vegetation cover can effectively decrease the runoff-induced erosion. This experimental result is consistent in the three river basins in the headwater areas of the Yangtze and Yellow Rivers.     

Soil erosion modeling of a Himalayan watershed using RS and GIS

Employing the remote sensing (RS) and geographical information system (GIS), an assessment of sediment yield from Dikrong river basin of Arunachal Pradesh (India) has been presented in this paper. For prediction of soil erosion, the Morgan-Morgan and Finney (MMF) model and the universal soil loss equation (USLE) have been utilized at a spatial grid scale of 100 m × 100 m, an operational unit. The average annual soil loss from the Dikrong river basin is estimated as 75.66 and 57.06 t ha⁻¹ year⁻¹ using MMF and USLE models, respectively. The watershed area falling under the identified very high, severe, and very severe zones of soil erosion need immediate attention for soil conservation.     

黄河流域近期水沙变化及其趋势预测

针对黄河水沙近期发生显著变化的现象,利用黄河上中游干支流水文泥沙定位观测资料,综合"水文法"、"水保法"和数学模拟等多种方法,对黄河流域1997-2006年水沙变化情势进行了评估,分析了水沙变化机制,并预测了未来的变化趋势。分析表明,与多年平均相比,黄河河源区径流量年均减少43.90亿m3,其中降雨等自然因素的影响量占92.26%,人类活动影响量占7.74%;与1970年前相比,黄河实测径流量年均减少112.1亿m3,其中水利水土保持综合治理等人类活动作用占76.50%,因降雨影响占23.50%;实测输沙量较1970年以前年均减少11.80亿t,其中水利水土保持综合治理等人类活动的作用为49.75%,降雨的影响为50.25%;人类活动与降雨变化对水沙变化的影响差异较大,就黄河中游地区总体而言,人类活动的减水作用远大于降雨的影响,人类活动的减沙作用与降雨影响基本相当,不宜笼统说黄河中游水沙变化主要是人类活动所致或主要是降雨变化所致; 2050年以前黄河来水来沙量总体呈平偏枯趋势,但不排除个别年份或短时段仍会发生丰水丰沙的可能性。     

Soil erosion and sediment yield modeling using RS and GIS techniques: a case study, Iran

Water erosion is a serious and continuous environmental problem in many parts of the world. The need to quantify the amount of erosion, sediment delivery, and sediment yield in a spatially distributed form has become essential at the watershed scale and in the implementation of conservation efforts. In this study, an effort to predict potential annual soil loss and sediment yield is conducted by using the Revised Universal Soil Loss Equation (RUSLE) model with adaptation in a geographic information system (GIS). The rainfall erosivity, soil erosivity, slope length, steepness, plant cover, and management practice and conservation support practice factors are among the basic factors that are obtained from monthly and annual rainfall data, soil map of the region, 50-m digital elevation model, remote sensing (RS) techniques (with use of Normalized Difference Vegetation Index), and GIS, respectively. The Ilam dam watershed which is located southeast part of Ilam province in western Iran is considered as study area. The study indicates that the slope length and steepness of the RUSLE model are the most effective factors controlling soil erosion in the region. The mean annual soil loss and sediment yield are also predicted. Moreover, the results indicated that 45.25%, 12.18%, 12.44%, 10.79%, and 19.34% of the study area are under minimal, low, moderate, high, and extreme actual erosion risks, respectively. Since 30.13% of the region is under high and extreme erosion risk, adoption of suitable conservation measures seems to be inevitable. So, the RUSLE model integrated with RS and GIS techniques has a great potential for producing accurate and inexpensive erosion and sediment yield risk maps in Iran.     

无定河水土保持措施减沙效益的临界现象及其意义

以1956-1969年作为“基准期”,基于该时期的资料建立了流域年产沙量与若干降水特征指标之间的多元回归方程,并运用该方程计算出了“措施期”(1970-1993年)在假定无措施的条件下的历年产沙量。由此得到该年的水土保持减沙效益百分比,并点绘了减沙百分比随时间变化的曲线。结果显示,水土保持效益随时间的变化是非线性的,在总体趋势上表现出3个阶段:①缓慢增大;②急剧增大;③保持不变甚至于减小。点绘了减沙效益与各年末的梯田、造林、种草和坝地累积保存面积的关系,也显示出非线性变化,可以用两条斜率不同的直线来拟合。两条直线之间的转折点反映了水土保持措施面积的临界值,两条直线分别代表水土保持增益高回报区和低回报区。该曲线可以为这一地区的水土保持规划决策提供参考。     

长江源区不同植被覆盖下产流产沙效应初步研究

在长江源区北麓河支流左冒西孔曲流域建立了不同植被覆盖下的天然径流观测场,观测天然降水和人工模拟降水在相同坡度不同植被覆盖下降水的产流产沙效应.结果表明:在典型高寒草甸草地30°坡面上,相同降水条件下,30%覆盖度的场地的地表径流产出量明显大于覆盖度92%和68%两个场地,同时产沙量也显著高于两个高盖度场地的,平均单次降水形成的泥沙量是后两种情形的2~4倍,由此造成地表侵蚀量平均为后两种情形的3~10倍;但在相同降水条件下,92%高盖度场地产生的径流量比68%盖度场地产生的径流量大,产沙量刚好相反.不同降水形态对于下垫面产流产沙过程也具有明显影响,无论下垫面状况如何,在几种降水形态中,降雪融水的产流量最大,产沙量最小.人工模拟的结果表明,对于覆盖度<68%的中、强度退化草地,次降水量在3.5 mm时,就形成了较为明显的径流和产沙效应.当次降雨量达到7.2 mm,降雨持续时间30 min,覆盖度为30%、68%和92%的25 m²场地分别形成2885 mL、2450 mL和1030 mL的径流量;覆盖度<30%的退化草地泥沙含量明显高于高覆盖度的,相同降水形成的平均泥沙含明显高于高覆盖度的, 相同降水形成的平均泥沙含量高达2~7倍.     

Soil loss and sediment transport during the storms and landslides of May 1988 in Ruhengeri prefecture,Rwanda

In early May 1988, five prefectures in western Rwanda experienced catastrophic levels of precipitation, landslide, and flooding activity that resulted in a severe loss of life, property, and livelihood. Using data from runoff plot and hydrological monitoring stations of the Ruhengeri Resource Analysis and Management Project, the events and circumstances leading to these phenomena are reconstructed. These data show that mass wasting processes were preceded by more than 140 mm of precipitation during 4–7 May, which may have saturated local soils. A small earth tremor on 7 May, (Richter scale of 3) contributed to the onset of the catastrophic debris avalanche, torrent, and earthflow activity that commenced 24 h later. The more than 50 mm of precipitation that fell during 9 May, including a maximum 30 min intensity of 24 mm, resulted in continued surficial soil loss that averaged 34 t/ha on seven cropped, Wischmeier-type runoff plots with biological erosion control contours. The Nyamutera River, which drains the impacted area, delivered 567000 tons of suspended sediment to its mouth between 7 and 13 May. This corresponds to a basin-wide lowering of 12600 t/km², or more than half of the basin's annual suspended sediment yield. Theoretical distributions of maximum 24 h precipitation events suggest that Nyakinama and other regions in Ruhengeri are particularly prone to similar high volume events, exacerbating an already serious soil loss problem throughout the prefecture. Because contemporary land use practices directly contributed to the severity of the 1988 event, further applied research that identifies technologies capable of reducing soil loss, augmenting soil fertility, and minimizing the impacts of high magnitude and high volume rainfall is greatly needed.     

金沙江流域不同区域水沙变化特征及原因分析

在金沙江流域水文站控制的不同区间的水文资料和降水量资料,以及大量的长江上游水土流失重点防治区小流域综合防治工程(简称"长治"工程)拦沙减蚀量、水库拦沙量资料的基础上,对金沙江流域各水文站控制的不同区间、不同时段的来水来沙变化特征及其变化原因进行了定量分析.结果表明,金沙江流域水沙在地区分布上有明显的水沙异源特性,不同区间水沙变化特征存在很大的差异,降水/径流变化引起的沙量变化、水库拦沙、"长治"工程减沙在不同区间起着不同的作用.金沙江攀枝花以上地区以冻融侵蚀和坡面侵蚀为主,年产沙量仅0.521亿t,输沙模数200 t/(km2·a),但增沙的趋势较明显;攀枝花至屏山区间新构造运动剧烈,断层发育,岩层松软破碎,地形陡峻,植被稀少,以重力侵蚀为主,年产沙量1.58亿t,输沙模数达2 200 t/(km2·a),1991-2000年来沙量增加,2001-2004年来沙量大幅度减小.     

河南鲁山县四棵树河流域泥石流灾害其防治

鲁山县四棵树河流域位于豫西伏牛山巨大的伏牛岩基东麓。区内山势陡峭,具大陆性季风气候,多暴雨,近期最大雨量116.9mm/h,日降雨达446mm。山洪泥石流是区内特有的一种自然地质灾害,它具有暴发频次高、暴发突然、流速快、破坏性大等特点,常冲毁道路、耕地和房舍,危及人民生命、财产安全。从对区内山地地形、气候、暴雨特征、岩性、土壤、泥石流及其造成的灾害状况等的调查、分析、研究,基本探索出泥石流运行轨迹即地表径流形成区、泥石流形成区、泥石流流通区、泥石流堆积区。根据上述特征,因地制宜地配置工程措施和非工程措施进行全面综合防治,重点对泥石流沟实施工程布防措施和山坡实施水土保持生物工程措施,对病险水库进行除险加固,从而达到标本兼治,防治泥石流灾害的发生和发展,改善生态环境,最终实现人与自然协调共处的目标。     

Soil erosion risk assessment of the Keiskamma catchment,South Africa using GIS and remote sensing

This paper examines the soil loss spatial patterns in the Keiskamma catchment using the GIS-based Sediment Assessment Tool for Effective Erosion Control (SATEEC) to assess the soil erosion risk of the catchment. SATEEC estimates soil loss and sediment yield within river catchments using the Revised Universal Soil Loss Equation (RUSLE) and a spatially distributed sediment delivery ratio. Vegetation cover in protected areas has a significant effect in curtailing soil loss. The effect of rainfall was noted as two pronged, higher rainfall amounts received in the escarpment promote vegetation growth and vigour in the Amatole mountain range which in turn positively provides a protective cover to shield the soil from soil loss. The negative aspect of high rainfall is that it increases the rainfall erosivity. The Keiskamma catchment is predisposed to excessive rates of soil loss due to high soil erodibility, steep slopes, poor conservation practices and low vegetation cover. This soil erosion risk assessment shows that 35% of the catchment is prone to high to extremely high soil losses higher than 25 ton ha⁻¹ year⁻¹ whilst 65% still experience very low to moderate levels of soil loss of less than 25 ton ha⁻¹ year⁻¹. Object based classification highlighted the occurrence of enriched valley infill which flourishes in sediment laden ephemeral stream channels. This occurrence increases gully erosion due to overgrazing within ephemeral stream channels. Measures to curb further degradation in the catchment should thrive to strengthen the role of local institutions in controlling conservation practice.     

不同耕地类型对流域水沙过程的影响研究

常用的水土保持措施是退耕还林,但淮河流域是中国重要的农业产区,大规模实行退耕还林并不现实,所以通过调整耕地类型来减少水土流失可能是解决社会经济发展和生态保护矛盾的好方法。为研究不同耕地类型对流域水文要素及产沙的影响,考虑水田和旱地两种耕地类型对淮河息县水文站上游流域构建SWAT模型,构造A(实际耕地利用方式)、B(所有耕地为水田)和C(所有耕地为旱地)三种耕地类型情景,比较不同耕地类型情景下流域水文要素及产沙的变化情况。研究结果表明:所构建的SWAT模型在息县流域径流及泥沙模拟中具有良好的适用性,R2和NSE(Nash Sutcliffe Efficiency)均达到0.75以上;水田和旱地两种不同耕地类型对流域多年年均蒸散发及多年平均径流量影响较小,但对流域产沙量影响较大,在汛期更为明显,模拟期内每平方公里水田每年最多比旱地少产沙491.8t,平均每年少产沙约208.7t。采取水田耕种比旱地耕种更有利于减少息县流域内的水土流失。     

An assessment of human versus climatic impacts on large-sized basin erosion: the case of the upper Yangtze River

Riverine sediment load, a reflection of basin erosion and sediment yield, is influenced by both climatic and human factors. Complex interaction between various factors within a basin dampens and counteracts the forces that drive sediment variations. The gross human impact index and the index estimation method have both been proposed to reflect the impacts of human activities on soil erosion and sediment yield. Sediment load and daily rainfall data from 1955 to 2010 in the upper Yangtze basin, and in the Wu, Jialing, Min and Jinsha subbasins, were collected to assess the human versus climatic impacts on sediment yield. From 1955 to 2010, the average annual runoff in the study area was 428.2 billion m³, and the average annual suspended sediment load was approximately 0.43 billion t. There was a critical point in 1984, 1985, 1991, 1993 and 1999 when the sediment load decreased in the Wu, Jialing, upper Yangtze, Min and Jinsha river, respectively. The annual regional rainfall erosivities in the upper Yangtze basin in most years ranged between 2,500 and 3,500 MJ mm hm^?2 h^?1 year^?1 and fluctuated around 3,000 MJ mm hm^?2 h^?1 year^?1 with a small coefficient of variation of 0.11. In the Jinsha subbasin, the index indicated that increasing rainfall erosivity could not account for the reduction in riverine sediment load and that anthropogenic erosion-control measures played a key role. The index values for the Min, Jialing and Wu subbasins ranged from 76 to 97 % and for the upper Yangtze basin is 95 %, demonstrating the joint effects of precipitation and human activities in all basins, with erosion-controlling measures playing a major role in sediment load reduction.     

Effects of gully erosion and gully filling on soil depth and crop production in the black soil region, northeast China

Gully erosion is a very serious problem in the black soil region of northeast China. Gully filling is often adopted for controlling gully erosion by local farmers and thus causes more serious soil erosion. In this study an ephemeral gully (EG, 74 m) and a classical gully (CG, 52 m) connected at the gully’s headcut were selected as the study site. Two comparisons were made to explore the effects of gully erosion and the subsequent gully filling on soil depth and soybean yield: (1) soil depth between 81 sample points in the study site and 11 reference points along the same slope with the gully; (2) soybean yield between 81 sample points in the study site and 30 baseline locations near the study site. The results indicated that gully erosion caused the reduction of soil depth and soybean yield. Although filling gullies with soil from adjacent areas seemed to be an expedient way to remediate the gullies, it resulted in substantial soybean yield reduction. Gully erosion reduced the soil depth and soybean yield in 74.4 and 83.9 % of the study site, respectively. The soybean yield reduction ratio was 34.5 % for the whole study site and 2.6 % for the black soil region. Soil depth was the most important soil property indicator to reduce yield. Every 1 cm decrease in soil depth in the areas adjacent to gullies due to infilling activities resulted in a 2 % decrease in yield. More significant was the deposition of sediment from gully erosion, which completely eliminated soybean yield. Currently, effective soil and water conservation measures are not known and adopted by local farmers extensively. In the future, once some measures for preventing soil erosion, in particular gully erosion, were proved effective, these technologies should be disseminated among local farmers.     

长江上游屏山至宜昌河道泥沙存贮量的变化及其地貌学意义

通过河流输沙分析研究了长江上游河道的悬移质泥沙存贮量及其变化。结果表明,1956～2000年屏山-宜昌河段历年的河道存贮量的变化可以划分为3个阶段,即两个泥沙存贮期和1个泥沙释放期。1956～1968年为第1个泥沙存贮期,河道泥沙存贮累积性增加,累计存贮量为4.0126×10⁸t,与这一时期人类活动导致的流域侵蚀加剧有密切的关系;1969～1983年为泥沙释放期,累积释放量为2.6533×10⁸t——支流水库大量修建,拦截了泥沙,下泄泥沙减少,进入长江干流的泥沙减少,含沙量降低,使得干流中前期存贮的泥沙发生侵蚀而释放;1984～2000年为第2个泥沙存贮期,累积存贮量为4.0733×10⁸t。金沙江下游重点产沙区产沙量增加,进入长江干流的泥沙增多,葛洲坝水库建成后投入运行,三峡水库大坝的建设,也导致长江干流河道中泥沙存贮量的增大。输入沙量、输出沙量和与流域面平均年降水量之间均存在较明显的正相关关系,而存贮量与降水量不相关,说明河道泥沙存贮对于降水量的变化不敏感。屏山-宜昌河道泥沙输移比的时间变化大致可以分为两个阶段,即在1956～1982年河道泥沙输移比呈增加趋势,1983～2000年则呈减小趋势。这种变化可以用河道泥沙存贮的变化来解释。长江上游屏山-宜昌河段河道泥沙存贮的时间变化与中游宜昌-武汉河段泥沙冲淤量的时间变化相位在一定程度上是相反的,说明上游河道泥沙存贮增多会导致中游河道泥沙存贮减少,上游河道泥沙存贮减少会导致中游河道泥沙存贮增多。     

嘉陵江不同区域场次洪水输沙规律

对于雨洪河流,河流年输沙量主要来源于1场或几场高强度暴雨洪水过程,开展流域次洪输沙规律研究对认识流域水沙变化特性、提升流域产输沙的预测能力具有重要意义。利用嘉陵江流域小河坝站、罗渡溪站、武胜站及北碚站的历年场次洪量与输沙量资料,基于径流侵蚀功率理论和M-K分析等方法,系统分析了嘉陵江不同区域的次洪输沙特性。结果表明：嘉陵江流域汛期洪量和输沙量主要来自于嘉陵江干流;嘉陵江不同区域场次洪量均呈不显著减少趋势,次洪输沙模数(输沙量)总体呈显著减少趋势,但小河坝站2013—2020年次洪输沙模数(输沙量)呈显著增加趋势;随着径流侵蚀功率的逐渐增加,各区域不同时段的次洪输沙模数(输沙量)的变幅逐渐减小;嘉陵江干流区武胜站场次洪水输沙过程受人类活动影响最大、渠江罗渡溪站次之、涪江小河坝站最小;受汶川地震及强降雨等影响,小河坝站和北碚站2013—2020年次洪输沙量较1999—2012年有一定程度增加,但北碚站增幅小于小河坝站。     

Estimation of spatial patterns of soil erosion using remote sensing and GIS: a case study of Indravati catchment

Soil erosion is a serious environmental problem in Indravati catchment. It carries the highest amount of sediments compared with other catchments in India. This catchment spreading an area of 41,285 km² is drained by river Indravati, which is one of the northern tributaries of the river Godavari in its lower reach. In the present study, USLE is used to estimate potential soil erosion from river Indravati catchment. Both magnitude and spatial distribution of potential soil erosion in the catchment is determined. The derived soil loss map from USLE model is classified into six categories ranging from slight to very severe risk depending on the calculated soil erosion amount. The soil erosion map is linked to elevation and slope maps to identify the area for conservation practice in order to reduce the soil loss. From the model output predictions, it is found that average erosion rate predicted is 18.00 tons/ha/year and sediment yield at the out let of the catchment is 22.30 Million tons per annum. The predicted sediment yield verified with the observed data.     

An assessment of soil erosion probability and erosion rate in a tropical mountainous watershed using remote sensing and GIS

Remote sensing data and Geographical Information System (GIS) has been integrated with the weighted index overlay (WIO) method and E ₃₀ model for the identification and delineation of soil erosion susceptibility zones and the assessment of rate of soil erosion in the mountainous sub-watershed of River Manimala in Kerala (India). Soil erosion is identified as the one of the most serious environmental problems in the human altered mountainous environment. The reliability of estimated soil erosion susceptibility and soil loss is based on how accurately the different factors were estimated or prepared. In the present analysis, factors that are considered to be influence the soil erosion are: land use/land cover, NDVI, landform, drainage density, drainage frequency, lineament frequency, slope, and relative relief. By the WIO analysis, the area is divided into zones representing low (33.30%), moderate (33.70%), and high (33%) erosion proneness. The annual soil erosion rate of the area under investigation was calculated by carefully determining its various parameters and erosion for each of the pixels were estimated individually. The spatial pattern thus created for the area indicates that the average annual rate of soil erosion in the area was ranging from 0.04 mm yr⁻¹ to 61.80 mm yr⁻¹. The high soil erosion probability and maximum erosion rate was observed in areas with high terrain alteration, high relief and slopes with the intensity and duration of heavy precipitation during the monsoons.     

青海省公路建设中的水土保持对策探讨

青海省是长江、黄河、澜沧江的发源地,水蚀、风蚀和冻融侵蚀都较严重并呈复合型出现.全省水土流失面积为33.4×10⁴km²,年土壤侵蚀量为115×10⁸t,年土壤侵蚀模数为1000～8000t·km^-2.公路建设中对水土保持造成危害虽然面积相对不大,但其破坏强度较大,极难治理和恢复.公路建设中坚持"预防为主,防治结合,因地制宜,因害设防"的工作方针,明确防治重点,科学的进行防治分区、措施布局和措施设计,准确计算工程量和工程投资,合理安排水土保持措施实施进度,制定出切实可行的水土保持实施措施.     

西江梧州段水沙变化及原因分析

分析了西江大湟江口-梧州段水沙组成,并采用不均匀系数分析其年内变化;通过相关分析研究降水与年径流量及年输沙量的关系;利用双累积曲线分析人类活动对水沙的影响;利用Morlet小波对梧州站年径流量及年输沙量进行突变分析;采用水文分析法量化降水与人类活动对水沙变化的影响。结果表明:2006年长洲水利枢纽正式运行导致地区水沙分布发生明显变化;年径流量和年输沙量年内分配具有一定的不均匀性;气候因素的变化只是西江年径流量和年输沙量变化的主要原因之一;在不受降水变化影响的情况下,西江年输沙量的变化,主要是人类活动影响流域侵蚀产沙的结果。     

高度城镇化背景下珠三角地区极端降雨时空演变特征

为分析城镇化发展程度与极端降雨变化之间的关系,选取珠江三角洲地区22个雨量站1973—2012年的小时降雨资料,利用空间分析、线性回归、滑动平均和Mann-Kendall趋势检验等方法,分析高度城镇化背景下珠三角地区极端降雨时空分布规律和变化特性,并解析暴雨雨型变化特征。结果表明:①珠江三角洲高度城镇化地区极端降雨量上升了44.3 mm/（10 a）,呈显著增加趋势,相邻其他地区则无明显变化,高度城镇化地区的前汛期极端降雨量显著增多是造成其年极端降雨量增加的主要原因。②珠三角地区暴雨雨型以单峰型为主,其中以雨峰在前的Ⅰ型暴雨占比最高,约为33.7%,高度城镇化地区Ⅰ型暴雨发生频率明显增加,易导致暴雨内涝事件增加,需加强高度城镇化地区防洪排涝工作。